Latency Metric Papers

Researcher Quick Triage

Use this page to compare metric behavior across protocols and benchmarks before selecting your reporting stack. Quality band: High .

• 60 papers are not low-signal flagged in this sample.
• Use the protocol matrix below to avoid comparing metrics across incompatible eval setups.

Primary action: Use the top metric-reliable papers first, then compare benchmark context in the matrix before drawing conclusions.

Start Here (Metric-Reliable First 6)

Ranked for metric reporting completeness and comparability.

• PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory

  Apr 9, 2026 · Citations: 0 · Score: 8.0

  Metrics: Precision, Latency · Eval: Automatic Metrics

• Gemma 4, Phi-4, and Qwen3: Accuracy-Efficiency Tradeoffs in Dense and MoE Reasoning Language Models

  Apr 8, 2026 · Citations: 0 · Score: 8.0

  Metrics: Accuracy, Latency · Eval: Automatic Metrics

• SemLink: A Semantic-Aware Automated Test Oracle for Hyperlink Verification using Siamese Sentence-BERT

  Apr 7, 2026 · Citations: 0 · Score: 8.0

  Metrics: Recall, Latency · Eval: Automatic Metrics

• Weakly Supervised Distillation of Hallucination Signals into Transformer Representations

  Apr 7, 2026 · Citations: 0 · Score: 8.0

  Metrics: F1, Latency · Eval: Llm As Judge, Automatic Metrics

• Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency

  Apr 6, 2026 · Citations: 0 · Score: 8.0

  Metrics: Accuracy, Pass@1 · Eval: Automatic Metrics

• SEAL: An Open, Auditable, and Fair Data Generation Framework for AI-Native 6G Networks

  Apr 2, 2026 · Citations: 0 · Score: 8.0

  Metrics: Accuracy, Latency · Eval: Automatic Metrics, Simulation Env

Metric Protocol Matrix (Top 10)

Compare metric, benchmark, and evaluation context side by side.

Top Papers Reporting This Metric

• Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models

  Shilin Yan, Jintao Tong, Hongwei Xue, Xiaojun Tang, Yangyang Wang · Apr 9, 2026 · Citations: 0

  Automatic Metrics General

  The advent of agentic multimodal models has empowered systems to actively interact with external environments.

• KV Cache Offloading for Context-Intensive Tasks

  Andrey Bocharnikov, Ivan Ermakov, Denis Kuznedelev, Vyacheslav Zhdanovskiy, Yegor Yershov · Apr 9, 2026 · Citations: 0

  Automatic Metrics General

  Prior evaluations have largely focused on tasks that do not require extracting large amounts of information from the context.

• Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference

  Baihui Liu, Kaiyuan Tian, Wei Wang, Zhaoning Zhang, Linbo Qiao · Apr 9, 2026 · Citations: 0

  Coding

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and LLMs

  Yuan Xie, Jiaqi Song, Guang Qiu, Xianliang Wang, Ming Lei · Apr 9, 2026 · Citations: 0

  Automatic Metrics General

  Although recent LLM-based ASR models have shown promising performance on public benchmarks, it remains challenging to balance recognition quality with latency and overhead, while hallucinations further limit real-world deployment.

• PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory

  Zhifei Xie, Zongzheng Hu, Fangda Ye, Xin Zhang, Haobo Chai · Apr 9, 2026 · Citations: 0

  Automatic Metrics General

  Prior work remains largely confined to laboratory settings, leaving a clear gap in real-world proactive agent: depth, complexity, ambiguity, precision and real-time constraints.

• DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs

  Nayoung Choi, Jonathan Zhang, Jinho D. Choi · Jan 12, 2026 · Citations: 0

  Automatic Metrics General

  Across three long-form dialogue benchmarks-LoCoMo, MT-Bench+, and SCM4LLMs-and multiple LLM backends, DyCP achieves competitive answer quality in downstream generation, with more selective context usage and improved inference efficiency.

• See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs

  Yicheng Ji, Jun Zhang, Jinpeng Chen, Cong Wang, Lidan Shou · Apr 7, 2026 · Citations: 0

  General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Efficient Learned Data Compression via Dual-Stream Feature Decoupling

  Huidong Ma, Xinyan Shi, Hui Sun, Xiaofei Yue, Xiaoguang Liu · Apr 8, 2026 · Citations: 0

  LawCoding

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Gemma 4, Phi-4, and Qwen3: Accuracy-Efficiency Tradeoffs in Dense and MoE Reasoning Language Models

  Md Motaleb Hossen Manik, Ge Wang · Apr 8, 2026 · Citations: 0

  Automatic Metrics Math

  We present a controlled empirical benchmark of seven recent reasoning-oriented instruction-tuned models spanning dense and MoE designs, namely Gemma-4-E2B, Gemma-4-E4B, Gemma-4-26B-A4B, Phi-4-mini-reasoning, Phi-4-reasoning, Qwen3-8B, and…

• MARS: Enabling Autoregressive Models Multi-Token Generation

  Ziqi Jin, Lei Wang, Ziwei Luo, Aixin Sun · Apr 8, 2026 · Citations: 0

  Automatic Metrics General

  When generating one token per forward pass, MARS matches or exceeds the AR baseline on six standard benchmarks.

• LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

  Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang · Feb 24, 2025 · Citations: 0

  Coding

  As Large Language Models (LLMs) can now process extremely long contexts, efficient inference over these extended inputs has become increasingly important, especially for emerging applications like LLM agents that highly depend on this…

• MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control

  Yuchi Wang, Haiyang Yu, Weikang Bian, Jiefeng Long, Xiao Liang · Apr 7, 2026 · Citations: 0

  Automatic Metrics General

  Experiments on the MMEB-V2 benchmark demonstrate that our model achieves a score of 71.2 with only 4B parameters, establishing a new state-of-the-art while significantly reducing reasoning overhead and inference latency.

• BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs

  Abbas Ghaddar, Ivan Kobyzev, Boxing Chen, Yufei Cui · Apr 7, 2026 · Citations: 0

  General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• CoGate-LSTM: Prototype-Guided Feature-Space Gating for Mitigating Gradient Dilution in Imbalanced Toxic Comment Classification

  Noor Islam S. Mohammad · Oct 19, 2025 · Citations: 0

  Automatic Metrics General

  On the Jigsaw Toxic Comment benchmark, CoGate-LSTM achieves 0.881 macro-F1 (95% CI: [0.873, 0.889]) and 96.0% accuracy, outperforming fine-tuned BERT by 6.9 macro-F1 points (p < 0.001) and XGBoost by 4.7, while using only 7.3M parameters…

• Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker

  Matthias De Lange, Jens-Joris Decorte, Jeroen Van Hautte · Nov 11, 2025 · Citations: 0

  Automatic Metrics General

  These constraints have led to isolated, task-specific developments in the field, with models and benchmarks focused on single prediction tasks.

• SemLink: A Semantic-Aware Automated Test Oracle for Hyperlink Verification using Siamese Sentence-BERT

  Guan-Yan Yang, Wei-Ling Wen, Shu-Yuan Ku, Farn Wang, Kuo-Hui Yeh · Apr 7, 2026 · Citations: 0

  Automatic Metrics General

  Our evaluation demonstrates that SemLink achieves a Recall of 96.00%, comparable to state-of-the-art LLMs (GPT-5.2), while operating approximately 47.5 times faster and requiring significantly fewer computational resources.

• Robust Multilingual Text-to-Pictogram Mapping for Scalable Reading Rehabilitation

  Soufiane Jhilal, Martina Galletti · Mar 25, 2026 · Citations: 0

  Automatic Metrics MedicineMultilingual

  Evaluation results indicate high pictogram coverage and visual scaffolding density across the five languages.

• AI-Driven Modular Services for Accessible Multilingual Education in Immersive Extended Reality Settings: Integrating Speech Processing, Translation, and Sign Language Rendering

  N. D. Tantaroudas, A. J. McCracken, I. Karachalios, E. Papatheou · Apr 7, 2026 · Citations: 0

  Automatic Metrics Multilingual

  Validation comprised technical benchmarking of each AI component, including comparative assessments of speech synthesis providers and multilingual translation models (NLLB 200 and EuroLLM 1.7B variants).

• Weakly Supervised Distillation of Hallucination Signals into Transformer Representations

  Shoaib Sadiq Salehmohamed, Jinal Prashant Thakkar, Hansika Aredla, Shaik Mohammed Omar, Shalmali Ayachit · Apr 7, 2026 · Citations: 0

  Llm As JudgeAutomatic Metrics General

  We introduce a weak supervision framework that combines three complementary grounding signals: substring matching, sentence embedding similarity, and an LLM as a judge verdict to label generated responses as grounded or hallucinated without…

• Screening Is Enough

  Ken M. Nakanishi · Apr 1, 2026 · Citations: 0

  Automatic Metrics General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency

  Guan-Ting Lin, Chen Chen, Zhehuai Chen, Hung-yi Lee · Apr 6, 2026 · Citations: 0

  Automatic Metrics General

  We introduce Full-Duplex-Bench-v3 (FDB-v3), a benchmark for evaluating spoken language models under naturalistic speech conditions and multi-step tool use.

• Voxtral Realtime

  Mistral-AI, :, Alexander H. Liu, Andy Ehrenberg, Andy Lo · Feb 11, 2026 · Citations: 0

  General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval

  Chun Chet Ng, Jia Yu Lim, Wei Zeng Low · Nov 18, 2025 · Citations: 0

  Automatic Metrics Coding

  We present PRISM, a training-free framework that integrates refined system prompting, in-context learning (ICL), and lightweight multi-agent coordination for document and chunk ranking tasks.

• Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing

  Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Abdulaziz Tabbakh · Mar 21, 2026 · Citations: 0

  Automatic Metrics General

  This study benchmarks four deep learning models (Conv6, VGG16, ResNet18, CycleGAN) using TensorFlow and PyTorch on Intel Xeon CPUs and NVIDIA Tesla T4 GPUs.

• 100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models

  Yeounoh Chung, Rushabh Desai, Jian He, Yu Xiao, Thibaud Hottelier · Mar 16, 2026 · Citations: 0

  Automatic Metrics General

  This paper provides an extensive evaluation of a recent AI query approximation approach that enables low cost analytics and database applications to benefit from AI queries.

• SEAL: An Open, Auditable, and Fair Data Generation Framework for AI-Native 6G Networks

  Sunder Ali Khowaja, Kapal Dev, Engin Zeydan, Madhusanka Liyanage · Apr 2, 2026 · Citations: 0

  Automatic MetricsSimulation Env General

  In this regard, we propose the Synthetic Data Generation with Ethics Audit Loop (SEAL) framework, which extends baseline modular pipelines with an Ethical and Regulatory Compliance by Design (ERCD) module and a Federated Learning (FL)…

• DeDelayed: Deleting Remote Inference Delay via On-Device Correction

  Dan Jacobellis, Mateen Ulhaq, Fabien Racapé, Hyomin Choi, Neeraja J. Yadwadkar · Oct 15, 2025 · Citations: 0

  Automatic Metrics Coding

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• APEX: Agent Payment Execution with Policy for Autonomous Agent API Access

  Mohd Safwan Uddin, Mohammed Mouzam, Mohammed Imran, Syed Badar Uddin Faizan · Apr 2, 2026 · Citations: 0

  Automatic Metrics General

  Autonomous agents are moving beyond simple retrieval tasks to become economic actors that invoke APIs, sequence workflows, and make real-time decisions.

• NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

  Amos Goldman, Nimrod Boker, Maayan Sheraizin, Nimrod Admoni, Artem Polyakov · Mar 13, 2026 · Citations: 0

  Automatic Metrics General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Adaptive Stopping for Multi-Turn LLM Reasoning

  Xiaofan Zhou, Huy Nguyen, Bo Yu, Chenxi Liu, Lu Cheng · Apr 1, 2026 · Citations: 0

  Automatic Metrics General

  Large Language Models (LLMs) increasingly rely on multi-turn reasoning and interaction, such as adaptive retrieval-augmented generation (RAG) and ReAct-style agents, to answer difficult questions.

• OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusion

  Sai Koneru, Matthias Huck, Jan Niehues · Nov 28, 2025 · Citations: 0

  CodingMultilingual

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• TRIMS: Trajectory-Ranked Instruction Masked Supervision for Diffusion Language Models

  Lingjie Chen, Ruizhong Qiu, Yuyu Fan, Yanjun Zhao, Hanghang Tong · Apr 1, 2026 · Citations: 0

  Automatic Metrics MathCoding

  Experiments on LLaDA and Dream across math and coding benchmarks show that TRIMS significantly improves the accuracy-parallelism trade-off over both standard MDLM training and train-free acceleration baselines, while achieving competitive…

• Execution-Verified Reinforcement Learning for Optimization Modeling

  Runda Guan, Xiangqing Shen, Jiajun Zhang, Yifan Zhang, Jian Cheng · Apr 1, 2026 · Citations: 0

  MathCoding

  Automating optimization modeling with LLMs is a promising path toward scalable decision intelligence, but existing approaches either rely on agentic pipelines built on closed-source LLMs with high inference latency, or fine-tune smaller…

• Large Language Models in the Abuse Detection Pipeline

  Suraj Kath, Sanket Badhe, Preet Shah, Ashwin Sampathkumar, Shivani Gupta · Mar 31, 2026 · Citations: 0

  General

  Large Language Models introduce new capabilities for contextual reasoning, policy interpretation, explanation generation, and cross-modal understanding, enabling them to support multiple stages of modern safety systems.

• FGR-ColBERT: Identifying Fine-Grained Relevance Tokens During Retrieval

  Antonín Jarolím, Martin Fajčík · Mar 31, 2026 · Citations: 0

  Automatic Metrics General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• ParetoBandit: Budget-Paced Adaptive Routing for Non-Stationary LLM Serving

  Annette Taberner-Miller · Mar 31, 2026 · Citations: 0

  Automatic Metrics General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation

  Ashish Rana, Chia-Chien Hung, Qumeng Sun, Julian Martin Kunkel, Carolin Lawrence · Mar 31, 2026 · Citations: 0

  Automatic Metrics Coding

  Human memory adapts through selective forgetting: experiences become less accessible over time but can be reactivated by reinforcement or contextual cues.

• DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams

  Ginés Carreto Picón, Peng Yuan Zhou, Qi Zhang, Alexandros Iosifidis · Nov 21, 2025 · Citations: 0

  General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context

  Hannes Kunstmann, Joseph Ollier, Joel Persson, Florian von Wangenheim · Jul 5, 2024 · Citations: 0

  Automatic Metrics General

  Yet to date, research has predominantly focused upon technical frameworks to implement LLM-driven CRS, rather than end-user evaluations or strategic implications for firms, particularly from the perspective of a small to medium enterprises…

• CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering

  Yang Zhao, Chengxiao Dai, Wei Zhuo, Yue Xiu, Dusit Niyato · Sep 25, 2025 · Citations: 0

  Automatic Metrics General

  We introduce CLAUSE, an agentic three-agent neuro-symbolic framework that treats context construction as a sequential decision process over knowledge graphs, deciding what to expand, which paths to follow or backtrack, what evidence to…

• ShishuLM : Achieving Optimal and Efficient Parameterization with Low Attention Transformer Models

  Shivanshu Kumar, Gopalakrishnan Srinivasan · Oct 13, 2025 · Citations: 0

  General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

  Qingyan Wei, Yaojie Zhang, Zhiyuan Liu, Puyu Zeng, Yuxuan Wang · Jun 12, 2025 · Citations: 0

  Automatic Metrics General

  Extensive experiments across benchmarks and models show that SlowFast Sampling achieves up to 15.63\times speedup on LLaDA with minimal accuracy drop, and up to 34.22\times when combined with caching.

• Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs

  Zhuowen Liang, Xiaotian Lin, Zhengxuan Zhang, Yuyu Luo, Haixun Wang · Mar 31, 2026 · Citations: 0

  Automatic Metrics Coding

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• OneComp: One-Line Revolution for Generative AI Model Compression

  Yuma Ichikawa, Keiji Kimura, Akihiro Yoshida, Yudai Fujimoto, Hiroki Tokura · Mar 30, 2026 · Citations: 0

  General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops

  Jiyuan Fu, Kaixun Jiang, Lingyi Hong, Jinglun Li, Haijing Guo · Jun 17, 2025 · Citations: 0

  General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs

  Di Cao, Dongjie Fu, Hai Yu, Siqi Zheng, Xu Tan · Mar 6, 2026 · Citations: 0

  Automatic Metrics General

  Extensive experiments across multiple benchmarks demonstrate that X-OPD significantly narrows the gap in complex tasks while preserving the model's inherent capabilities.

• Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

  Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong · Oct 6, 2025 · Citations: 0

  Automatic Metrics General

  We introduce ACE (Agentic Context Engineering), a framework that treats contexts as evolving playbooks that accumulate, refine, and organize strategies through a modular process of generation, reflection, and curation.

• LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications

  Alexandre Cristovão Maiorano · Mar 28, 2026 · Citations: 0

  Automatic Metrics General

  We present a readiness harness for LLM and RAG applications that turns evaluation into a deployment decision workflow.

• SCOPE: Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration

  Dongyi Fan, Suqiong Zhang, Lili He, Ming Liu, Yifan Huo · Mar 28, 2026 · Citations: 0

  Automatic Metrics General

  Extensive evaluations on diverse benchmark datasets show that SCOPE outperforms state-of-the-art methods in both accuracy and efficiency.

• Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search

  Dong Liu, Yanxuan Yu · Nov 12, 2025 · Citations: 0

  Automatic Metrics Coding

  We implement SPI as a plugin for both FAISS and Qdrant backends and evaluate it across multiple RAG tasks including MS MARCO, Natural Questions, and multimodal retrieval benchmarks.

• PHONOS: PHOnetic Neutralization for Online Streaming Applications

  Waris Quamer, Mu-Ruei Tseng, Ghady Nasrallah, Ricardo Gutierrez-Osuna · Mar 27, 2026 · Citations: 0

  Automatic Metrics General

  Our evaluations show an 81% reduction in non-native accent confidence, with listening-test ratings consistent with this shift, and reduced speaker linkability as accent-neutralized utterances move away from the original speaker in embedding…

• FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?

  Nikil Ravi, Kexing Ying, Vasilii Nesterov, Rayan Krishnan, Elif Uskuplu · Mar 27, 2026 · Citations: 0

  Automatic Metrics Math

  We present FormalProofBench, a private benchmark designed to evaluate whether AI models can produce formally verified mathematical proofs at the graduate level.

• JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems

  Guangzhao Yang, Yu Pan, Shi Qiu, Ningjie Bai · Mar 27, 2026 · Citations: 0

  Automatic Metrics Multilingual

  Despite recent advances, efficient and robust turn-taking detection remains a significant challenge in industrial-grade Voice AI agent deployments.

• TernaryLM: Memory-Efficient Language Modeling via Native 1.5-Bit Quantization with Adaptive Layer-wise Scaling

  Nisharg Nargund, Priyesh Shukla · Feb 7, 2026 · Citations: 0

  Automatic Metrics General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends

  Can Cui, Yunsheng Ma, Sung-Yeon Park, Zichong Yang, Yupeng Zhou · Oct 20, 2024 · Citations: 0

  Simulation Env General

  Then, a comprehensive benchmark is proposed for evaluating the instruction-following and reasoning abilities of LLM4AD systems, which includes LaMPilot-Bench, CARLA Leaderboard 1.0 Benchmark in simulation and NuPlanQA for multi-view visual…

• Characterizing Linear Alignment Across Language Models

  Matt Gorbett, Suman Jana · Mar 19, 2026 · Citations: 0

  Automatic Metrics General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

  Selim An, Il hong Suh, Yeseong Kim · Mar 26, 2026 · Citations: 0

  Automatic Metrics General

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Prompt Attack Detection with LLM-as-a-Judge and Mixture-of-Models

  Hieu Xuan Le, Benjamin Goh, Quy Anh Tang · Mar 26, 2026 · Citations: 0

  Llm As Judge General

  In production, guardrails must mitigate these attacks under strict low-latency constraints, resulting in a deployment gap in which lightweight classifiers and rule-based systems struggle to generalize under distribution shift, while…

• Beyond Attention Magnitude: Leveraging Inter-layer Rank Consistency for Efficient Vision-Language-Action Models

  Peiju Liu, Jinming Liu, Xipeng Qiu, Xuanjing Huang · Mar 26, 2026 · Citations: 0

  Automatic Metrics General

  On the CogACT + SIMPLER benchmark, TIES improves average success rates by 6\% while reducing token usage by 78\%, and demonstrate strong generalization across diverse decoders and benchmarks.

• GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation

  Ruizhong Miao, Yuying Wang, Rongguang Wang, Chenyang Li, Tao Sheng · Mar 26, 2026 · Citations: 0

  Automatic Metrics General

  Prior approaches to this problem include agentic retrieval strategies, which expand the semantic search space by generating additional queries.

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