https://www.opentrain.ai/papers/efficient-training-of-large-vision-models-via-advanced-automated-progressive-lea--arxiv-2410.00350/2026-02-26T05:39:29.549Z https://www.opentrain.ai/papers/compute-constrained-data-selection--arxiv-2410.16208/2026-02-26T05:39:27.045Z https://www.opentrain.ai/papers/de-identification-of-medical-imaging-data-a-comprehensive-tool-for-ensuring-pati--arxiv-2410.12402/2026-02-26T05:39:20.505Z https://www.opentrain.ai/papers/constraining-a-relativistic-mean-field-model-using-neutron-star-mass-radius-meas--arxiv-2410.14572/2026-02-26T05:39:20.504Z https://www.opentrain.ai/papers/tree-of-problems-improving-structured-problem-solving-with-compositionality--arxiv-2410.06634/2026-02-26T05:39:10.163Z https://www.opentrain.ai/papers/alphaedit-null-space-constrained-knowledge-editing-for-language-models--arxiv-2410.02355/2026-02-26T05:38:36.275Z https://www.opentrain.ai/papers/adaptive-self-calibration-for-minimalistic-collective-perception-by-imperfect-ro--arxiv-2410.21546/2026-02-26T05:37:20.487Z https://www.opentrain.ai/papers/bridging-the-gaps-utilizing-unlabeled-face-recognition-datasets-to-boost-semi-su--arxiv-2410.17622/2026-02-26T05:37:19.602Z https://www.opentrain.ai/papers/ichigo-mixed-modal-early-fusion-realtime-voice-assistant--arxiv-2410.15316/2026-02-26T05:37:18.752Z https://www.opentrain.ai/papers/mixed-curvature-decision-trees-and-random-forests--arxiv-2410.13879/2026-02-26T05:37:09.950Z https://www.opentrain.ai/papers/an-alternating-minimization-algorithm-with-trajectory-for-direct-exoplanet-detec--arxiv-2410.06310/2026-02-26T05:37:09.818Z https://www.opentrain.ai/papers/itercomp-iterative-composition-aware-feedback-learning-from-model-gallery-for-te--arxiv-2410.07171/2026-02-26T05:37:09.719Z https://www.opentrain.ai/papers/uncovering-explaining-and-mitigating-the-superficial-safety-of-backdoor-defense--arxiv-2410.09838/2026-02-26T05:37:09.109Z https://www.opentrain.ai/papers/are-minimal-radial-distortion-solvers-necessary-for-relative-pose-estimation--arxiv-2410.05984/2026-02-26T05:36:38.910Z https://www.opentrain.ai/papers/diss-l-ect-dissecting-graph-data-with-local-euler-characteristic-transforms--arxiv-2410.02622/2026-02-26T05:36:31.279Z https://www.opentrain.ai/papers/sonicsim-a-customizable-simulation-platform-for-speech-processing-in-moving-soun--arxiv-2410.01481/2026-02-26T05:36:26.130Z https://www.opentrain.ai/papers/monocoder-domain-specific-code-language-model-for-hpc-codes-and-tasks--doi-10.1109_hpec62836.2024.10938441/2026-06-18T03:47:59.824Z https://www.opentrain.ai/papers/rirag-regulatory-information-retrieval-and-answer-generation--arxiv-2409.05677/2026-06-16T20:26:42.772Z https://www.opentrain.ai/papers/on-the-complexity-of-neural-computation-in-superposition--arxiv-2409.15318/2026-06-16T15:34:45.798Z https://www.opentrain.ai/papers/juliaqcd-portable-lattice-qcd-package-in-julia-language--doi-10.48550_arxiv.2409.03030/2026-06-15T13:41:56.325Z https://www.opentrain.ai/papers/improving-generative-adversarial-network-inversion-via-fine-tuning-gan-encoders--doi-10.1016_j.asoc.2024.112201/2026-06-16T15:21:45.340Z https://www.opentrain.ai/papers/can-large-language-models-analyze-graphs-like-professionals-a-benchmark-datasets--arxiv-2409.19667/2026-06-18T05:17:23.414Z https://www.opentrain.ai/papers/data-prep-kit-getting-your-data-ready-for-llm-application-development--arxiv-2409.18164/2026-06-17T23:04:51.884Z https://www.opentrain.ai/papers/exploring-low-dimensional-subspaces-in-diffusion-models-for-controllable-image-e--arxiv-2409.02374/2026-06-17T23:04:39.348Z https://www.opentrain.ai/papers/mineru-an-open-source-solution-for-precise-document-content-extraction--arxiv-2409.18839/2026-06-17T22:42:28.048Z https://www.opentrain.ai/papers/megs-morphological-evaluation-of-galactic-structure--arxiv-2409.10346/2026-06-17T22:15:38.248Z https://www.opentrain.ai/papers/demystifying-and-extracting-fault-indicating-information-from-logs-for-failure-d--arxiv-2409.13561/2026-06-17T22:10:01.497Z https://www.opentrain.ai/papers/tabkanet-tabular-data-modeling-with-kolmogorov-arnold-network-and-transformer--arxiv-2409.08806/2026-06-17T18:53:53.872Z https://www.opentrain.ai/papers/prithvi-wxc-foundation-model-for-weather-and-climate--arxiv-2409.13598/2026-06-17T17:02:45.880Z https://www.opentrain.ai/papers/llama-omni-seamless-speech-interaction-with-large-language-models--arxiv-2409.06666/2026-06-17T13:44:02.962Z https://www.opentrain.ai/papers/autopet-challenge-iii-testing-the-robustness-of-generalized-dice-focal-loss-trai--arxiv-2409.10151/2026-06-17T13:14:35.042Z https://www.opentrain.ai/papers/fc-kan-function-combinations-in-kolmogorov-arnold-networks--arxiv-2409.01763/2026-06-17T09:28:27.514Z https://www.opentrain.ai/papers/vae-explainer-supplement-learning-variational-autoencoders-with-interactive-visu--arxiv-2409.09011/2026-06-17T09:02:22.588Z https://www.opentrain.ai/papers/repairbench-leaderboard-of-frontier-models-for-program-repair--arxiv-2409.18952/2026-06-17T08:17:19.321Z https://www.opentrain.ai/papers/harmful-fine-tuning-attacks-and-defenses-for-large-language-models-a-survey--arxiv-2409.18169/2026-06-17T07:32:14.810Z https://www.opentrain.ai/papers/can-llms-generate-novel-research-ideas-a-large-scale-human-study-with-100-nlp-re--arxiv-2409.04109/2026-06-17T07:09:25.145Z https://www.opentrain.ai/papers/evaluating-pre-trained-convolutional-neural-networks-and-foundation-models-as-fe--arxiv-2409.09430/2026-06-17T06:29:48.467Z https://www.opentrain.ai/papers/byzantine-robust-aggregation-for-securing-decentralized-federated-learning--arxiv-2409.17754/2026-06-16T19:57:43.051Z https://www.opentrain.ai/papers/the-bravo-semantic-segmentation-challenge-results-in-uncv2024--arxiv-2409.15107/2026-06-16T16:06:20.354Z https://www.opentrain.ai/papers/cross-lingual-transfer-of-multilingual-models-on-low-resource-african-languages--arxiv-2409.10965/2026-06-16T16:04:43.218Z https://www.opentrain.ai/papers/effective-pre-training-of-audio-transformers-for-sound-event-detection--arxiv-2409.09546/2026-06-16T16:04:19.884Z https://www.opentrain.ai/papers/big-bang-nucleosynthesis-constraints-on-resonant-dm-annihilations--arxiv-2409.14900/2026-06-16T16:03:37.335Z https://www.opentrain.ai/papers/map-level-baryonification-efficient-modelling-of-higher-order-correlations-in-th--arxiv-2409.03822/2026-06-16T15:58:16.709Z https://www.opentrain.ai/papers/the-ademamix-optimizer-better-faster-older--arxiv-2409.03137/2026-06-16T15:56:26.204Z https://www.opentrain.ai/papers/the-galah-survey-data-release-4--arxiv-2409.19858/2026-06-16T15:43:54.427Z https://www.opentrain.ai/papers/sparsifying-parametric-models-with-l0-regularization--arxiv-2409.03489/2026-06-16T15:41:54.314Z https://www.opentrain.ai/papers/shaping-dark-photon-spectral-distortions--arxiv-2409.12940/2026-06-16T15:36:51.511Z https://www.opentrain.ai/papers/addressing-emotion-bias-in-music-emotion-recognition-and-generation-with-frechet--arxiv-2409.15545/2026-06-16T15:34:26.538Z https://www.opentrain.ai/papers/when-heterophily-meets-heterogeneous-graphs-latent-graphs-guided-unsupervised-re--arxiv-2409.00687/2026-06-16T15:34:10.788Z https://www.opentrain.ai/papers/cemiface-center-based-semi-hard-synthetic-face-generation-for-face-recognition--arxiv-2409.18876/2026-06-16T15:33:52.124Z https://www.opentrain.ai/papers/medclip-samv2-towards-universal-text-driven-medical-image-segmentation--arxiv-2409.19483/2026-06-16T15:33:05.784Z https://www.opentrain.ai/papers/autonomous-navigation-in-ice-covered-waters-with-learned-predictions-on-ship-ice--arxiv-2409.11326/2026-06-16T15:31:39.152Z https://www.opentrain.ai/papers/pinnfluence-influence-functions-for-physics-informed-neural-networks--arxiv-2409.08958/2026-06-16T15:29:58.117Z https://www.opentrain.ai/papers/ssd4rec-a-structured-state-space-duality-model-for-efficient-sequential-recommen--arxiv-2409.01192/2026-06-16T15:23:48.365Z https://www.opentrain.ai/papers/llmemb-large-language-model-can-be-a-good-embedding-generator-for-sequential-rec--arxiv-2409.19925/2026-06-16T07:02:57.857Z https://www.opentrain.ai/papers/e-sort-empowering-end-to-end-neural-network-for-multi-channel-spike-sorting-with--arxiv-2409.13067/2026-06-16T05:30:02.449Z https://www.opentrain.ai/papers/lorkd-low-rank-knowledge-decomposition-for-medical-foundation-models--arxiv-2409.19540/2026-06-16T00:21:33.321Z https://www.opentrain.ai/papers/gated-slot-attention-for-efficient-linear-time-sequence-modeling--arxiv-2409.07146/2026-06-15T21:16:57.665Z https://www.opentrain.ai/papers/volvo-discovery-challenge-at-ecml-pkdd-2024--arxiv-2409.11446/2026-06-15T15:02:47.427Z https://www.opentrain.ai/papers/scaling-proprioceptive-visual-learning-with-heterogeneous-pre-trained-transforme--arxiv-2409.20537/2026-06-15T13:40:22.024Z https://www.opentrain.ai/papers/assessing-sparql-capabilities-of-large-language-models--arxiv-2409.05925/2026-06-15T12:52:13.095Z https://www.opentrain.ai/papers/when-to-extract-reid-features-a-selective-approach-for-improved-multiple-object--arxiv-2409.06617/2026-06-13T16:04:22.865Z https://www.opentrain.ai/papers/taming-diffusion-prior-for-image-super-resolution-with-domain-shift-sdes--arxiv-2409.17778/2026-06-13T01:22:56.923Z https://www.opentrain.ai/papers/adios-antibody-development-via-opponent-shaping--arxiv-2409.10588/2026-05-07T06:20:25.388Z https://www.opentrain.ai/papers/robust-state-estimation-from-partial-out-core-measurements-with-shallow-recurren--arxiv-2409.12550/2026-04-22T22:03:32.948Z https://www.opentrain.ai/papers/mri-based-and-metabolomics-based-age-scores-act-synergetically-for-mortality-pre--arxiv-2409.01235/2026-03-02T10:06:21.269Z https://www.opentrain.ai/papers/rmlr-extending-multinomial-logistic-regression-into-general-geometries--arxiv-2409.19433/2026-02-26T05:39:20.829Z https://www.opentrain.ai/papers/soil-organic-carbon-sequestration-potential-and-policy-optimization--arxiv-2409.18198/2026-02-26T05:39:20.828Z https://www.opentrain.ai/papers/neural-light-spheres-for-implicit-image-stitching-and-view-synthesis--arxiv-2409.17924/2026-02-26T05:39:20.333Z https://www.opentrain.ai/papers/efficient-identification-of-direct-causal-parents-via-invariance-and-minimum-err--arxiv-2409.12797/2026-02-26T05:39:19.992Z https://www.opentrain.ai/papers/on-the-extrapolation-of-generative-adversarial-networks-for-downscaling-precipit--arxiv-2409.13934/2026-02-26T05:39:19.982Z https://www.opentrain.ai/papers/plane2depth-hierarchical-adaptive-plane-guidance-for-monocular-depth-estimation--arxiv-2409.02494/2026-02-26T05:39:10.255Z https://www.opentrain.ai/papers/reproduction-of-ivfs-algorithm-for-high-dimensional-topology-preservation-featur--arxiv-2409.12195/2026-02-26T05:39:10.211Z https://www.opentrain.ai/papers/a-mmwave-software-defined-array-platform-for-wireless-experimentation-at-24-29-5--arxiv-2409.11480/2026-02-26T05:39:10.210Z https://www.opentrain.ai/papers/bls-gan-a-deep-layer-separation-framework-for-eliminating-bone-overlap-in-conven--arxiv-2409.07304/2026-02-26T05:39:10.168Z https://www.opentrain.ai/papers/closed-loop-visuomotor-control-with-generative-expectation-for-robotic-manipulat--arxiv-2409.09016/2026-02-26T05:39:10.168Z https://www.opentrain.ai/papers/whisperner-unified-open-named-entity-and-speech-recognition--arxiv-2409.08107/2026-02-26T05:39:09.845Z https://www.opentrain.ai/papers/learning-to-solve-combinatorial-optimization-under-positive-linear-constraints-v--arxiv-2409.04495/2026-02-26T05:38:39.841Z https://www.opentrain.ai/papers/adaptive-non-linear-centroidal-mpc-with-stability-guarantees-for-robust-locomoti--arxiv-2409.01144/2026-02-26T05:38:31.221Z https://www.opentrain.ai/papers/time-series-classification-with-random-convolution-kernels-based-transforms-pool--arxiv-2409.01115/2026-02-26T05:38:30.996Z https://www.opentrain.ai/papers/longitudinal-segmentation-of-ms-lesions-via-temporal-difference-weighting--arxiv-2409.13416/2026-02-26T05:38:20.643Z https://www.opentrain.ai/papers/cross-domain-latent-factors-sharing-via-implicit-matrix-factorization--arxiv-2409.15568/2026-02-26T05:38:20.641Z https://www.opentrain.ai/papers/towards-zero-shot-point-cloud-anomaly-detection-a-multi-view-projection-framewor--arxiv-2409.13162/2026-02-26T05:38:20.536Z https://www.opentrain.ai/papers/fakemusiccaps-a-dataset-for-detection-and-attribution-of-synthetic-music-generat--arxiv-2409.10684/2026-02-26T05:38:20.195Z https://www.opentrain.ai/papers/open-magvit2-an-open-source-project-toward-democratizing-auto-regressive-visual--arxiv-2409.04410/2026-02-26T05:38:10.075Z https://www.opentrain.ai/papers/explicit-differentiable-slicing-and-global-deformation-for-cardiac-mesh-reconstr--arxiv-2409.02070/2026-02-26T05:38:09.223Z https://www.opentrain.ai/papers/socialcircle-learning-the-angle-based-conditioned-interaction-representation-for--arxiv-2409.14984/2026-02-26T05:36:20.448Z https://www.opentrain.ai/papers/multi-domain-data-aggregation-for-axon-and-myelin-segmentation-in-histology-imag--arxiv-2409.11552/2026-02-26T05:36:09.843Z https://www.opentrain.ai/papers/sparse-r-cnn-obb-ship-target-detection-in-sar-images-based-on-oriented-sparse-pr--arxiv-2409.07973/2026-02-26T05:36:09.715Z https://www.opentrain.ai/papers/adaptive-meta-domain-transfer-learning-amdtl-a-novel-approach-for-knowledge-tran--arxiv-2409.06800/2026-02-26T05:36:09.669Z https://www.opentrain.ai/papers/bridging-dynamic-factor-models-and-neural-controlled-differential-equations-for--arxiv-2409.08732/2026-02-26T05:36:09.331Z https://www.opentrain.ai/papers/coderefine-a-pipeline-for-enhancing-llm-generated-code-implementations-of-resear--arxiv-2408.13366/2026-06-17T08:39:33.891Z https://www.opentrain.ai/papers/linearly-multiplexed-photon-number-resolving-single-photon-detectors-array--arxiv-2408.12345/2026-06-16T15:27:33.006Z https://www.opentrain.ai/papers/r2gencsr-mining-contextual-and-residual-information-for-llms-based-radiology-rep--arxiv-2408.09743/2026-06-16T03:26:13.485Z https://www.opentrain.ai/papers/biomamba-domain-adaptive-biomedical-language-models--arxiv-2408.02600/2026-04-13T03:24:34.923Z https://www.opentrain.ai/papers/msfmamba-multi-scale-feature-fusion-state-space-model-for-multi-source-remote-se--arxiv-2408.14255/2026-06-18T02:43:34.753Z https://www.opentrain.ai/papers/deepseek-prover-v1-5-harnessing-proof-assistant-feedback-for-reinforcement-learn--arxiv-2408.08152/2026-06-18T02:36:27.249Z https://www.opentrain.ai/papers/openfactcheck-a-unified-framework-for-factuality-evaluation-of-llms--arxiv-2408.11832/2026-06-18T01:58:13.138Z https://www.opentrain.ai/papers/nacl-a-general-and-effective-kv-cache-eviction-framework-for-llms-at-inference-t--arxiv-2408.03675/2026-06-18T01:42:24.639Z https://www.opentrain.ai/papers/super-intelligence-or-superstition-exploring-psychological-factors-influencing-b--arxiv-2408.06602/2026-06-18T00:01:24.323Z https://www.opentrain.ai/papers/cybench-a-framework-for-evaluating-cybersecurity-capabilities-and-risks-of-langu--arxiv-2408.08926/2026-06-17T23:57:28.703Z https://www.opentrain.ai/papers/minicpm-v-a-gpt-4v-level-mllm-on-your-phone--arxiv-2408.01800/2026-06-17T23:08:35.125Z https://www.opentrain.ai/papers/turning-trash-into-treasure-accelerating-inference-of-large-language-models-with--arxiv-2408.08696/2026-06-17T21:47:35.042Z https://www.opentrain.ai/papers/docling-technical-report--arxiv-2408.09869/2026-06-17T21:41:46.733Z https://www.opentrain.ai/papers/structure-preserving-approximations-of-the-serre-green-naghdi-equations-in-stand--arxiv-2408.02665/2026-06-17T21:13:11.037Z https://www.opentrain.ai/papers/cogvideox-text-to-video-diffusion-models-with-an-expert-transformer--arxiv-2408.06072/2026-06-17T17:34:32.423Z https://www.opentrain.ai/papers/marlin-mixed-precision-auto-regressive-parallel-inference-on-large-language-mode--arxiv-2408.11743/2026-06-17T17:15:45.013Z https://www.opentrain.ai/papers/testing-the-flux-tube-expansion-factor-solar-wind-speed-relation-with-solar-orbi--arxiv-2408.06155/2026-06-17T15:19:13.570Z https://www.opentrain.ai/papers/fast-livo2-fast-direct-lidar-inertial-visual-odometry--arxiv-2408.14035/2026-06-17T15:02:53.814Z https://www.opentrain.ai/papers/physics-informed-geometry-aware-neural-operator--arxiv-2408.01600/2026-06-17T14:17:28.725Z https://www.opentrain.ai/papers/fusechat-knowledge-fusion-of-chat-models--arxiv-2408.07990/2026-06-17T14:01:24.617Z https://www.opentrain.ai/papers/the-ai-scientist-towards-fully-automated-open-ended-scientific-discovery--arxiv-2408.06292/2026-06-17T13:19:22.529Z https://www.opentrain.ai/papers/a-perfect-storm-first-nature-geography-and-economic-development--arxiv-2408.00885/2026-06-17T11:29:15.670Z https://www.opentrain.ai/papers/sam-2-segment-anything-in-images-and-videos--arxiv-2408.00714/2026-06-17T09:04:21.466Z https://www.opentrain.ai/papers/pedestrian-attribute-recognition-a-new-benchmark-dataset-and-a-large-language-mo--arxiv-2408.09720/2026-06-17T07:46:01.412Z https://www.opentrain.ai/papers/cogvlm2-visual-language-models-for-image-and-video-understanding--arxiv-2408.16500/2026-06-17T07:11:37.804Z https://www.opentrain.ai/papers/prompt-agnostic-adversarial-perturbation-for-customized-diffusion-models--arxiv-2408.10571/2026-06-17T01:43:25.164Z https://www.opentrain.ai/papers/nanoflow-towards-optimal-large-language-model-serving-throughput--arxiv-2408.12757/2026-06-17T01:02:12.805Z https://www.opentrain.ai/papers/ve-bench-subjective-aligned-benchmark-suite-for-text-driven-video-editing-qualit--arxiv-2408.11481/2026-06-17T00:11:03.345Z https://www.opentrain.ai/papers/tc-rag-turing-complete-rag-s-case-study-on-medical-llm-systems--arxiv-2408.09199/2026-06-16T22:41:52.374Z https://www.opentrain.ai/papers/pat-pruning-aware-tuning-for-large-language-models--arxiv-2408.14721/2026-06-16T20:54:06.660Z https://www.opentrain.ai/papers/hold-me-tight-stable-encoder-decoder-design-for-speech-enhancement--arxiv-2408.17358/2026-06-16T20:16:46.030Z https://www.opentrain.ai/papers/air-analytic-imbalance-rectifier-for-continual-learning--arxiv-2408.10349/2026-06-16T16:07:11.497Z https://www.opentrain.ai/papers/characterizing-vehicle-induced-distributed-acoustic-sensing-signals-for-accurate--arxiv-2408.14320/2026-06-16T16:06:52.045Z https://www.opentrain.ai/papers/interpretable-graph-neural-networks-for-heterogeneous-tabular-data--arxiv-2408.07661/2026-06-16T16:05:59.892Z https://www.opentrain.ai/papers/surface-elevation-errors-in-finite-element-stokes-models-for-glacier-evolution--arxiv-2408.06470/2026-06-16T16:05:14.248Z https://www.opentrain.ai/papers/leveraging-time-dependent-instrumental-noise-for-lisa-sgwb-analysis--arxiv-2408.00832/2026-06-16T15:58:15.463Z https://www.opentrain.ai/papers/ml-edm-package-a-python-toolkit-for-machine-learning-based-early-decision-making--arxiv-2408.12925/2026-06-16T15:56:17.389Z https://www.opentrain.ai/papers/phishlang-a-real-time-fully-client-side-phishing-detection-framework-using-mobil--arxiv-2408.05667/2026-06-16T15:56:15.333Z https://www.opentrain.ai/papers/re-boosting-self-collaboration-parallel-prompt-gan-for-unsupervised-image-restor--arxiv-2408.09241/2026-06-16T15:53:22.375Z https://www.opentrain.ai/papers/slam2ref-advancing-long-term-mapping-with-3d-lidar-and-reference-map-integration--arxiv-2408.15948/2026-06-16T15:45:05.673Z https://www.opentrain.ai/papers/the-first-competition-on-resource-limited-infrared-small-target-detection-challe--arxiv-2408.09615/2026-06-16T15:44:55.006Z https://www.opentrain.ai/papers/minictx-neural-theorem-proving-with-long-contexts--arxiv-2408.03350/2026-06-16T15:42:14.862Z https://www.opentrain.ai/papers/sonics-synthetic-or-not-identifying-counterfeit-songs--arxiv-2408.14080/2026-06-16T15:34:51.370Z https://www.opentrain.ai/papers/rag-foundry-a-framework-for-enhancing-llms-for-retrieval-augmented-generation--arxiv-2408.02545/2026-06-16T10:38:40.916Z https://www.opentrain.ai/papers/efficient-and-scalable-point-cloud-generation-with-sparse-point-voxel-diffusion--arxiv-2408.06145/2026-06-16T08:47:03.160Z https://www.opentrain.ai/papers/medical-sam-2-segment-medical-images-as-video-via-segment-anything-model-2--arxiv-2408.00874/2026-06-16T08:22:30.946Z https://www.opentrain.ai/papers/ecg-fm-an-open-electrocardiogram-foundation-model--arxiv-2408.05178/2026-06-16T02:38:41.139Z https://www.opentrain.ai/papers/bearllm-a-prior-knowledge-enhanced-bearing-health-management-framework-with-unif--arxiv-2408.11281/2026-06-15T11:11:22.916Z https://www.opentrain.ai/papers/github-is-an-effective-platform-for-collaborative-and-reproducible-laboratory-re--arxiv-2408.09344/2026-06-14T09:39:31.113Z https://www.opentrain.ai/papers/rl-adn-a-high-performance-deep-reinforcement-learning-environment-for-optimal-en--arxiv-2408.03685/2026-06-14T01:20:35.739Z https://www.opentrain.ai/papers/experimental-validation-of-a-linear-momentum-and-bluff-body-model-for-high-block--arxiv-2408.16705/2026-05-08T02:34:44.528Z https://www.opentrain.ai/papers/functional-kinematic-and-kinetic-requirements-of-the-upper-limb-during-activitie--arxiv-2408.14361/2026-03-02T04:15:48.391Z https://www.opentrain.ai/papers/modeling-the-3-point-correlation-function-of-projected-scalar-fields-on-the-sphe--arxiv-2408.16847/2026-02-26T05:38:40.349Z https://www.opentrain.ai/papers/selex-self-expertise-in-fine-grained-generalized-category-discovery--arxiv-2408.14371/2026-02-26T05:38:38.859Z https://www.opentrain.ai/papers/mbss-t1-model-based-subject-specific-self-supervised-motion-correction-for-robus--arxiv-2408.11992/2026-02-26T05:38:35.797Z https://www.opentrain.ai/papers/statcheck-is-flawed-by-design-and-no-valid-spell-checker-for-statistical-results--arxiv-2408.07948/2026-02-26T05:38:31.267Z https://www.opentrain.ai/papers/wave-mask-mix-exploring-wavelet-based-augmentations-for-time-series-forecasting--arxiv-2408.10951/2026-02-26T05:38:30.997Z https://www.opentrain.ai/papers/boosttrack-using-tracklet-information-to-detect-more-objects-in-multiple-object--arxiv-2408.13003/2026-02-26T05:38:20.643Z https://www.opentrain.ai/papers/hoaa-hybrid-overestimating-approximate-adder-for-enhanced-performance-processing--arxiv-2408.00806/2026-02-26T05:38:20.495Z https://www.opentrain.ai/papers/neuflow-v2-high-efficiency-optical-flow-estimation-on-edge-devices--arxiv-2408.10161/2026-02-26T05:38:20.246Z https://www.opentrain.ai/papers/gaussian-in-the-dark-real-time-view-synthesis-from-inconsistent-dark-images-usin--arxiv-2408.09130/2026-02-26T05:38:20.148Z https://www.opentrain.ai/papers/mambamim-pre-training-mamba-with-state-space-token-interpolation-and-its-applica--arxiv-2408.08070/2026-02-26T05:38:18.845Z https://www.opentrain.ai/papers/gat-improving-single-page-document-parsing-by-providing-multi-page-context--arxiv-2408.15646/2026-02-26T05:38:10.274Z https://www.opentrain.ai/papers/supersimplenet-unifying-unsupervised-and-supervised-learning-for-fast-and-reliab--arxiv-2408.03143/2026-02-26T05:38:10.267Z https://www.opentrain.ai/papers/ensemble-everything-everywhere-multi-scale-aggregation-for-adversarial-robustnes--arxiv-2408.05446/2026-02-26T05:38:09.872Z https://www.opentrain.ai/papers/prism-lite-a-lightweight-model-for-interactive-3d-placenta-segmentation-in-ultra--arxiv-2408.05372/2026-02-26T05:38:09.718Z https://www.opentrain.ai/papers/multi-dimensional-optimisation-of-the-scanning-strategy-for-the-litebird-space-m--arxiv-2408.03040/2026-02-26T05:37:39.881Z https://www.opentrain.ai/papers/sum-of-squares-circuits--arxiv-2408.11778/2026-02-26T05:37:32.573Z https://www.opentrain.ai/papers/improving-source-code-similarity-detection-through-graphcodebert-and-integration--arxiv-2408.08903/2026-02-26T05:37:31.704Z https://www.opentrain.ai/papers/relik-retrieve-and-link-fast-and-accurate-entity-linking-and-relation-extraction--arxiv-2408.00103/2026-02-26T05:37:29.933Z https://www.opentrain.ai/papers/residual-inr-communication-efficient-on-device-learning-using-implicit-neural-re--arxiv-2408.05617/2026-02-26T05:35:29.268Z https://www.opentrain.ai/papers/active-learning-for-neural-pde-solvers--arxiv-2408.01536/2026-02-26T05:35:20.396Z https://www.opentrain.ai/papers/barlow-twins-deep-neural-network-for-advanced-1d-drug-target-interaction-predict--arxiv-2408.00040/2026-02-25T18:51:19.491Z https://www.opentrain.ai/papers/ponder-online-prediction-of-task-memory-requirements-for-scientific-workflows--doi-10.48550_arxiv.2408.00047/2026-06-16T01:06:25.262Z https://www.opentrain.ai/papers/shapley-value-computation-in-ontology-mediated-query-answering--arxiv-2407.20058/2026-06-16T15:57:16.799Z https://www.opentrain.ai/papers/an-iot-system-for-smart-building-combining-multiple-mmwave-fmcw-radars-applied-t--doi-10.1109_jiot.2024.3434707/2026-06-17T17:18:42.789Z https://www.opentrain.ai/papers/sinder-repairing-the-singular-defects-of-dinov2--arxiv-2407.16826/2026-06-17T07:16:14.902Z https://www.opentrain.ai/papers/softcvi-contrastive-variational-inference-with-self-generated-soft-labels--doi-10.48550_arxiv.2407.15687/2026-06-16T15:30:55.933Z https://www.opentrain.ai/papers/vector-retrieval-with-similarity-and-diversity-how-hard-is-it--arxiv-2407.04573/2026-06-16T15:33:02.229Z https://www.opentrain.ai/papers/eventchat-implementation-and-user-centric-evaluation-of-a-large-language-model-d--arxiv-2407.04472/2026-05-25T12:12:25.081Z https://www.opentrain.ai/papers/seeing-like-an-ai-how-llms-apply-and-misapply-wikipedia-neutrality-norms--arxiv-2407.04183/2026-06-17T22:39:28.317Z https://www.opentrain.ai/papers/reben-refined-bigearthnet-dataset-for-remote-sensing-image-analysis--arxiv-2407.03653/2026-06-18T06:52:37.927Z https://www.opentrain.ai/papers/refuse-whenever-you-feel-unsafe-improving-safety-in-llms-via-decoupled-refusal-t--arxiv-2407.09121/2026-06-18T06:34:11.459Z https://www.opentrain.ai/papers/entropy-law-the-story-behind-data-compression-and-llm-performance--arxiv-2407.06645/2026-06-18T05:13:50.422Z https://www.opentrain.ai/papers/text-based-detection-of-on-hold-scripts-in-contact-center-calls--arxiv-2407.09849/2026-06-18T04:45:17.040Z https://www.opentrain.ai/papers/rt-detrv2-improved-baseline-with-bag-of-freebies-for-real-time-detection-transfo--arxiv-2407.17140/2026-06-18T03:15:20.799Z https://www.opentrain.ai/papers/etalon-holistic-performance-evaluation-framework-for-llm-inference-systems--arxiv-2407.07000/2026-06-18T00:11:23.674Z https://www.opentrain.ai/papers/diffusion-forcing-next-token-prediction-meets-full-sequence-diffusion--arxiv-2407.01392/2026-06-17T22:18:28.563Z https://www.opentrain.ai/papers/seflow-a-self-supervised-scene-flow-method-in-autonomous-driving--arxiv-2407.01702/2026-06-17T21:18:45.052Z https://www.opentrain.ai/papers/mambavision-a-hybrid-mamba-transformer-vision-backbone--arxiv-2407.08083/2026-06-17T20:36:52.323Z https://www.opentrain.ai/papers/rllm-relational-table-learning-with-llms--arxiv-2407.20157/2026-06-17T20:35:03.544Z https://www.opentrain.ai/papers/a-unified-anomaly-synthesis-strategy-with-gradient-ascent-for-industrial-anomaly--arxiv-2407.09359/2026-06-17T17:58:18.888Z https://www.opentrain.ai/papers/mavis-mathematical-visual-instruction-tuning-with-an-automatic-data-engine--arxiv-2407.08739/2026-06-17T17:46:34.362Z https://www.opentrain.ai/papers/understanding-transformers-via-n-gram-statistics--arxiv-2407.12034/2026-06-17T15:14:46.494Z https://www.opentrain.ai/papers/minference-1-0-accelerating-pre-filling-for-long-context-llms-via-dynamic-sparse--arxiv-2407.02490/2026-06-17T14:40:28.198Z https://www.opentrain.ai/papers/putnambench-evaluating-neural-theorem-provers-on-the-putnam-mathematical-competi--arxiv-2407.11214/2026-06-17T13:58:16.669Z https://www.opentrain.ai/papers/frechet-video-motion-distance-a-metric-for-evaluating-motion-consistency-in-vide--arxiv-2407.16124/2026-06-17T13:16:46.899Z https://www.opentrain.ai/papers/relbench-a-benchmark-for-deep-learning-on-relational-databases--arxiv-2407.20060/2026-06-17T11:42:49.659Z https://www.opentrain.ai/papers/using-graph-neural-networks-and-frequency-domain-data-for-automated-operational--arxiv-2407.06492/2026-06-17T09:24:17.058Z https://www.opentrain.ai/papers/pare-net-position-aware-rotation-equivariant-networks-for-robust-point-cloud-reg--arxiv-2407.10142/2026-06-17T06:35:37.668Z https://www.opentrain.ai/papers/offsetbias-leveraging-debiased-data-for-tuning-evaluators--arxiv-2407.06551/2026-06-17T05:53:25.235Z https://www.opentrain.ai/papers/datadream-few-shot-guided-dataset-generation--arxiv-2407.10910/2026-06-17T05:08:46.600Z https://www.opentrain.ai/papers/goldfinch-high-performance-rwkv-transformer-hybrid-with-linear-pre-fill-and-extr--arxiv-2407.12077/2026-06-17T03:54:58.610Z https://www.opentrain.ai/papers/multi-modal-masked-siamese-network-improves-chest-x-ray-representation-learning--arxiv-2407.04449/2026-06-17T02:59:17.053Z https://www.opentrain.ai/papers/explorative-imitation-learning-a-path-signature-approach-for-continuous-environm--arxiv-2407.04856/2026-06-17T01:36:14.331Z https://www.opentrain.ai/papers/gradient-boosting-reinforcement-learning--arxiv-2407.08250/2026-06-16T23:51:23.520Z https://www.opentrain.ai/papers/illm-tsc-integration-reinforcement-learning-and-large-language-model-for-traffic--arxiv-2407.06025/2026-06-16T21:56:14.644Z https://www.opentrain.ai/papers/a-closer-look-at-gan-priors-exploiting-intermediate-features-for-enhanced-model--arxiv-2407.13863/2026-06-16T18:41:55.992Z https://www.opentrain.ai/papers/dreamcatalyst-fast-and-high-quality-3d-editing-via-controlling-editability-and-i--arxiv-2407.11394/2026-06-16T16:10:25.186Z https://www.opentrain.ai/papers/local-all-pair-correspondence-for-point-tracking--arxiv-2407.15420/2026-06-16T16:06:22.178Z https://www.opentrain.ai/papers/towards-human-understanding-of-paraphrase-types-in-chatgpt--arxiv-2407.02302/2026-06-16T16:05:51.815Z https://www.opentrain.ai/papers/qwen2-audio-technical-report--arxiv-2407.10759/2026-06-16T15:54:41.594Z https://www.opentrain.ai/papers/rethinking-unsupervised-outlier-detection-via-multiple-thresholding--arxiv-2407.05382/2026-06-16T15:53:20.050Z https://www.opentrain.ai/papers/vssd-vision-mamba-with-non-causal-state-space-duality--arxiv-2407.18559/2026-06-16T15:42:04.610Z https://www.opentrain.ai/papers/martsia-a-tool-for-confidential-data-exchange-via-public-blockchain--arxiv-2407.10684/2026-06-16T15:41:59.917Z https://www.opentrain.ai/papers/interprecision-transfers-in-iterative-refinement--arxiv-2407.00827/2026-06-16T15:35:49.727Z https://www.opentrain.ai/papers/collaborative-graph-exploration-with-reduced-pose-slam-uncertainty-via-submodula--arxiv-2407.01013/2026-06-16T15:34:20.736Z https://www.opentrain.ai/papers/the-coherent-magnetic-field-of-the-milky-way-halo-local-bubble-and-fan-region--arxiv-2407.02148/2026-06-16T15:30:23.864Z https://www.opentrain.ai/papers/an-efficient-tls-1-3-handshake-protocol-with-vc-certificate-type--arxiv-2407.12536/2026-06-16T15:28:59.065Z https://www.opentrain.ai/papers/extended-fiducial-inference-toward-an-automated-process-of-statistical-inference--arxiv-2407.21622/2026-06-16T15:25:41.961Z https://www.opentrain.ai/papers/private-collaborative-edge-inference-via-over-the-air-computation--arxiv-2407.21151/2026-06-16T15:24:42.167Z https://www.opentrain.ai/papers/spinach-sparql-based-information-navigation-for-challenging-real-world-questions--arxiv-2407.11417/2026-06-16T15:24:13.615Z https://www.opentrain.ai/papers/swish-t-enhancing-swish-activation-with-tanh-bias-for-improved-neural-network-pe--arxiv-2407.01012/2026-06-16T15:18:59.871Z https://www.opentrain.ai/papers/increasing-the-robustness-of-model-predictions-to-missing-sensors-in-earth-obser--arxiv-2407.15512/2026-06-16T15:18:44.945Z https://www.opentrain.ai/papers/mist-a-simple-and-scalable-end-to-end-3d-medical-imaging-segmentation-framework--arxiv-2407.21343/2026-06-16T15:16:47.540Z https://www.opentrain.ai/papers/interior-point-methods-for-structured-quantum-relative-entropy-optimization-prob--arxiv-2407.00241/2026-06-16T15:02:37.806Z https://www.opentrain.ai/papers/diffusion-prior-based-amortized-variational-inference-for-noisy-inverse-problems--arxiv-2407.16125/2026-06-16T08:01:26.430Z https://www.opentrain.ai/papers/structural-generalization-in-autonomous-cyber-incident-response-with-message-pas--arxiv-2407.05775/2026-06-16T06:07:18.859Z https://www.opentrain.ai/papers/retrospective-for-the-dynamic-sensorium-competition-for-predicting-large-scale-m--arxiv-2407.09100/2026-06-16T02:39:12.965Z https://www.opentrain.ai/papers/latent-adversarial-training-improves-robustness-to-persistent-harmful-behaviors--arxiv-2407.15549/2026-06-15T19:02:26.382Z https://www.opentrain.ai/papers/funaudiollm-voice-understanding-and-generation-foundation-models-for-natural-int--arxiv-2407.04051/2026-06-15T18:37:38.127Z https://www.opentrain.ai/papers/scope-stochastic-cartographic-occupancy-prediction-engine-for-uncertainty-aware--arxiv-2407.00144/2026-06-15T18:35:33.086Z https://www.opentrain.ai/papers/ada-kv-optimizing-kv-cache-eviction-by-adaptive-budget-allocation-for-efficient--arxiv-2407.11550/2026-06-15T17:14:18.223Z https://www.opentrain.ai/papers/maven-fact-a-large-scale-event-factuality-detection-dataset--arxiv-2407.15352/2026-06-15T17:11:18.464Z https://www.opentrain.ai/papers/nnsight-and-ndif-democratizing-access-to-open-weight-foundation-model-internals--arxiv-2407.14561/2026-06-15T15:39:51.997Z https://www.opentrain.ai/papers/learning-formal-mathematics-from-intrinsic-motivation--arxiv-2407.00695/2026-06-15T11:41:38.319Z https://www.opentrain.ai/papers/loformer-local-frequency-transformer-for-image-deblurring--arxiv-2407.16993/2026-06-14T01:20:39.128Z https://www.opentrain.ai/papers/factgenie-a-framework-for-span-based-evaluation-of-generated-texts--arxiv-2407.17863/2026-06-14T01:20:35.533Z https://www.opentrain.ai/papers/embracing-fairness-in-consumer-electricity-markets-using-an-automatic-market-mak--arxiv-2407.20814/2026-06-13T07:11:39.426Z https://www.opentrain.ai/papers/abdomenatlas-a-large-scale-detailed-annotated-multi-center-dataset-for-efficient--arxiv-2407.16697/2026-06-13T01:23:00.679Z https://www.opentrain.ai/papers/deep-time-series-models-a-comprehensive-survey-and-benchmark--arxiv-2407.13278/2026-06-12T02:38:22.635Z https://www.opentrain.ai/papers/a-simulation-study-of-cluster-search-algorithms-in-data-set-generated-by-gaussia--arxiv-2407.19199/2026-03-02T07:57:56.932Z https://www.opentrain.ai/papers/large-language-monkeys-scaling-inference-compute-with-repeated-sampling--arxiv-2407.21787/2026-02-26T05:38:20.230Z https://www.opentrain.ai/papers/q-galore-quantized-galore-with-int4-projection-and-layer-adaptive-low-rank-gradi--arxiv-2407.08296/2026-02-26T05:38:10.217Z https://www.opentrain.ai/papers/group-projected-subspace-pursuit-for-block-sparse-signal-reconstruction-converge--arxiv-2407.07707/2026-02-26T05:37:39.707Z https://www.opentrain.ai/papers/link-representation-learning-for-probabilistic-travel-time-estimation--arxiv-2407.05895/2026-02-26T05:37:38.567Z https://www.opentrain.ai/papers/3d-gres-generalized-3d-referring-expression-segmentation--arxiv-2407.20664/2026-02-26T05:37:31.314Z https://www.opentrain.ai/papers/cardiospectrum-comprehensive-myocardium-motion-analysis-with-3d-deep-learning-an--arxiv-2407.03794/2026-02-26T05:37:31.137Z https://www.opentrain.ai/papers/radiance-fields-for-robotic-teleoperation--arxiv-2407.20194/2026-02-26T05:37:30.827Z https://www.opentrain.ai/papers/relation-detr-exploring-explicit-position-relation-prior-for-object-detection--arxiv-2407.11699/2026-02-26T05:37:20.595Z https://www.opentrain.ai/papers/pupilsense-a-novel-application-for-webcam-based-pupil-diameter-estimation--arxiv-2407.11204/2026-02-26T05:37:20.119Z https://www.opentrain.ai/papers/ecco-can-we-improve-model-generated-code-efficiency-without-sacrificing-function--arxiv-2407.14044/2026-02-26T05:37:20.073Z https://www.opentrain.ai/papers/experimenting-with-adaptive-bitrate-algorithms-for-virtual-reality-streaming-ove--arxiv-2407.15614/2026-02-26T05:37:19.757Z https://www.opentrain.ai/papers/qwen2-technical-report--arxiv-2407.10671/2026-02-26T05:37:12.186Z https://www.opentrain.ai/papers/the-geometrickernels-package-heat-and-matern-kernels-for-geometric-learning-on-m--arxiv-2407.08086/2026-02-26T05:37:10.085Z https://www.opentrain.ai/papers/styleshot-a-snapshot-on-any-style--arxiv-2407.01414/2026-02-26T05:37:10.084Z https://www.opentrain.ai/papers/double-ended-synthesis-planning-with-goal-constrained-bidirectional-search--arxiv-2407.06334/2026-02-26T05:37:10.084Z https://www.opentrain.ai/papers/flashattention-3-fast-and-accurate-attention-with-asynchrony-and-low-precision--arxiv-2407.08608/2026-02-26T05:37:10.029Z https://www.opentrain.ai/papers/bm25s-orders-of-magnitude-faster-lexical-search-via-eager-sparse-scoring--arxiv-2407.03618/2026-02-26T05:37:09.943Z https://www.opentrain.ai/papers/proving-that-cryptic-crossword-clue-answers-are-correct--arxiv-2407.08824/2026-02-26T05:37:09.670Z https://www.opentrain.ai/papers/interactive-segmentation-model-for-placenta-segmentation-from-3d-ultrasound-imag--arxiv-2407.08020/2026-02-26T05:37:09.560Z https://www.opentrain.ai/papers/enhanced-long-tailed-recognition-with-contrastive-cutmix-augmentation--arxiv-2407.04911/2026-02-26T05:36:38.328Z https://www.opentrain.ai/papers/a-simple-algorithm-for-output-range-analysis-for-deep-neural-networks--arxiv-2407.02700/2026-02-26T05:36:31.014Z https://www.opentrain.ai/papers/closed-form-test-functions-for-biophysical-sequence-optimization-algorithms--arxiv-2407.00236/2026-02-26T05:36:29.839Z https://www.opentrain.ai/papers/towards-robust-knowledge-tracing-models-via-k-sparse-attention--arxiv-2407.17097/2026-02-26T05:35:20.317Z https://www.opentrain.ai/papers/open-set-biometrics-beyond-good-closed-set-models--arxiv-2407.16133/2026-02-26T05:35:19.891Z https://www.opentrain.ai/papers/scikit-fingerprints-easy-and-efficient-computation-of-molecular-fingerprints-in--arxiv-2407.13291/2026-02-26T05:35:19.509Z https://www.opentrain.ai/papers/sh17-a-dataset-for-human-safety-and-personal-protective-equipment-detection-in-m--arxiv-2407.04590/2026-02-26T05:35:10.183Z https://www.opentrain.ai/papers/any-property-conditional-molecule-generation-with-self-criticism-using-spanning--arxiv-2407.09357/2026-02-26T05:35:10.124Z https://www.opentrain.ai/papers/rethinking-the-threat-and-accessibility-of-adversarial-attacks-against-face-reco--arxiv-2407.08514/2026-02-26T05:35:10.002Z https://www.opentrain.ai/papers/learning-to-learn-at-test-time-rnns-with-expressive-hidden-states--arxiv-2407.04620/2026-02-26T05:35:09.919Z https://www.opentrain.ai/papers/digraf-diffeomorphic-graph-adaptive-activation-function--arxiv-2407.02013/2026-02-26T05:34:40.264Z https://www.opentrain.ai/papers/chat-ai-a-seamless-slurm-native-solution-for-hpc-based-services--arxiv-2407.00110/2026-06-16T03:00:27.619Z https://www.opentrain.ai/papers/fintruthqa-a-benchmark-for-ai-driven-financial-disclosure-quality-assessment-in--arxiv-2406.12009/2026-06-01T19:59:29.056Z https://www.opentrain.ai/papers/inceptionnext-when-inception-meets-convnext--doi-10.1109_cvpr52733.2024.00542/2026-06-17T14:07:53.619Z https://www.opentrain.ai/papers/tumtraf-v2x-cooperative-perception-dataset--doi-10.1109_cvpr52733.2024.02139/2026-06-14T15:12:51.060Z https://www.opentrain.ai/papers/tgb-2-0-a-benchmark-for-learning-on-temporal-knowledge-graphs-and-heterogeneous--arxiv-2406.09639/2026-06-17T22:24:13.245Z https://www.opentrain.ai/papers/discovering-preference-optimization-algorithms-with-and-for-large-language-model--arxiv-2406.08414/2026-06-16T16:39:24.300Z https://www.opentrain.ai/papers/topological-quantification-of-ambiguity-in-semantic-search--arxiv-2406.07990/2026-05-01T01:35:50.310Z https://www.opentrain.ai/papers/mining-frequent-structures-in-conceptual-models--doi-10.48550_arxiv.2406.07129/2026-04-29T16:05:36.360Z https://www.opentrain.ai/papers/the-prompt-report-a-systematic-survey-of-prompt-engineering-techniques--arxiv-2406.06608/2026-06-17T22:15:54.850Z https://www.opentrain.ai/papers/bench2drive-towards-multi-ability-benchmarking-of-closed-loop-end-to-end-autonom--arxiv-2406.03877/2026-06-17T22:42:24.368Z https://www.opentrain.ai/papers/the-dawn-of-natural-language-to-sql-are-we-fully-ready--arxiv-2406.01265/2026-06-17T19:36:57.371Z https://www.opentrain.ai/papers/navsim-data-driven-non-reactive-autonomous-vehicle-simulation-and-benchmarking--arxiv-2406.15349/2026-06-18T06:47:00.519Z https://www.opentrain.ai/papers/mlvu-benchmarking-multi-task-long-video-understanding--arxiv-2406.04264/2026-06-18T06:31:39.324Z https://www.opentrain.ai/papers/your-absorbing-discrete-diffusion-secretly-models-the-conditional-distributions--arxiv-2406.03736/2026-06-18T05:18:50.707Z https://www.opentrain.ai/papers/wildteaming-at-scale-from-in-the-wild-jailbreaks-to-adversarially-safer-language--arxiv-2406.18510/2026-06-18T04:55:47.531Z https://www.opentrain.ai/papers/genai-bench-evaluating-and-improving-compositional-text-to-visual-generation--arxiv-2406.13743/2026-06-18T03:37:30.810Z https://www.opentrain.ai/papers/optimizing-instructions-and-demonstrations-for-multi-stage-language-model-progra--arxiv-2406.11695/2026-06-18T01:53:20.633Z https://www.opentrain.ai/papers/muharaf-manuscripts-of-handwritten-arabic-dataset-for-cursive-text-recognition--arxiv-2406.09630/2026-06-17T23:43:22.457Z https://www.opentrain.ai/papers/pvuw-2024-challenge-on-complex-video-understanding-methods-and-results--arxiv-2406.17005/2026-06-17T23:08:26.941Z https://www.opentrain.ai/papers/routellm-learning-to-route-llms-with-preference-data--arxiv-2406.18665/2026-06-17T23:04:45.941Z https://www.opentrain.ai/papers/echonet-synthetic-privacy-preserving-video-generation-for-safe-medical-data-shar--arxiv-2406.00808/2026-06-17T22:50:12.722Z https://www.opentrain.ai/papers/pygwalker-on-the-fly-assistant-for-exploratory-visual-data-analysis--arxiv-2406.11637/2026-06-17T22:42:36.345Z https://www.opentrain.ai/papers/parallelizing-linear-transformers-with-the-delta-rule-over-sequence-length--arxiv-2406.06484/2026-06-17T22:26:53.776Z https://www.opentrain.ai/papers/intentionqa-a-benchmark-for-evaluating-purchase-intention-comprehension-abilitie--arxiv-2406.10173/2026-06-17T21:54:44.192Z https://www.opentrain.ai/papers/mpsdynamics-jl-tensor-network-simulations-for-finite-temperature-non-markovian-o--arxiv-2406.07052/2026-06-17T21:38:00.406Z https://www.opentrain.ai/papers/ctrsvdd-a-benchmark-dataset-and-baseline-analysis-for-controlled-singing-voice-d--arxiv-2406.02438/2026-06-17T21:36:16.244Z https://www.opentrain.ai/papers/missci-reconstructing-fallacies-in-misrepresented-science--arxiv-2406.03181/2026-06-17T21:25:14.471Z https://www.opentrain.ai/papers/samba-simple-hybrid-state-space-models-for-efficient-unlimited-context-language--arxiv-2406.07522/2026-06-17T20:36:27.168Z https://www.opentrain.ai/papers/the-biggen-bench-a-principled-benchmark-for-fine-grained-evaluation-of-language--arxiv-2406.05761/2026-06-17T20:32:20.620Z https://www.opentrain.ai/papers/a-denoising-fpn-with-transformer-r-cnn-for-tiny-object-detection--arxiv-2406.05755/2026-06-17T20:31:17.880Z https://www.opentrain.ai/papers/from-crowdsourced-data-to-high-quality-benchmarks-arena-hard-and-benchbuilder-pi--arxiv-2406.11939/2026-06-17T20:15:19.724Z https://www.opentrain.ai/papers/large-language-model-validity-via-enhanced-conformal-prediction-methods--arxiv-2406.09714/2026-06-17T20:05:31.411Z https://www.opentrain.ai/papers/xmodel-lm-technical-report--arxiv-2406.02856/2026-06-17T19:47:49.447Z https://www.opentrain.ai/papers/bag-of-tricks-benchmarking-of-jailbreak-attacks-on-llms--arxiv-2406.09324/2026-06-17T19:14:25.854Z https://www.opentrain.ai/papers/wildguard-open-one-stop-moderation-tools-for-safety-risks-jailbreaks-and-refusal--arxiv-2406.18495/2026-06-17T19:14:12.035Z https://www.opentrain.ai/papers/topobench-a-framework-for-benchmarking-topological-deep-learning--arxiv-2406.06642/2026-06-17T18:47:17.306Z https://www.opentrain.ai/papers/autoregressive-model-beats-diffusion-llama-for-scalable-image-generation--arxiv-2406.06525/2026-06-17T18:18:54.576Z