- STaRR: Spatial-Temporal Token-Dynamics-Aware Responsive Remasking for Diffusion Language Models
Xinhao Sun, Huaijin Zhao, Maoliang Li, Zihao Zheng, Jiayu Chen · Dec 7, 2025 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation
Chengbing Wang, Yang Zhang, Wenjie Wang, Xiaoyan Zhao, Fuli Feng · Dec 7, 2025 · Citations: 0
Pairwise Preference
Preference alignment has enabled large language models (LLMs) to better reflect human expectations, but current methods mostly optimize for population-level preferences, overlooking individual users.
- Towards Small Language Models for Security Query Generation in SOC Workflows
Saleha Muzammil, Rahul Reddy, Vishal Kamalakrishnan, Hadi Ahmadi, Wajih Ul Hassan · Dec 7, 2025 · Citations: 0
- Conflict-Aware Fusion: Resolving Logic Inertia in Large Language Models via Structured Cognitive Priors
Qiming Bao, Xiaoxuan Fu, Michael Witbrock · Dec 6, 2025 · Citations: 0
Long Horizon
We present a controlled evaluation framework consisting of four stress tests: (1) rule deletion (redundant vs.
- Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety
Junyu Mao, Anthony Hills, Talia Tseriotou, Maria Liakata, Aya Shamir · Dec 6, 2025 · Citations: 0
Real-world indicators play an important role in many natural language processing (NLP) applications, such as life-event for mental health analysis and risky behaviour for online safety, yet labelling such information in training datasets is…
- ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering
Daeyong Kwon, SeungHeon Doh, Juhan Nam · Dec 5, 2025 · Citations: 0
We introduce MusWikiDB, a vector database of 3.2M passages from 144K music-related Wikipedia pages, and ArtistMus, a benchmark of 1,000 questions on 500 diverse artists with metadata such as genre, debut year, and topic.
- Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformers
Hongzhan Lin, Zhiqi Bai, Xinmiao Zhang, Sen Yang, Xiang Li · Dec 3, 2025 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
Zichuan Lin, Yicheng Liu, Yang Yang, Lvfang Tao, Deheng Ye · Dec 3, 2025 · Citations: 0
- AITutor-EvalKit: Exploring the Capabilities of AI Tutors
Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar · Dec 3, 2025 · Citations: 0
Demonstrations
We present AITutor-EvalKit, an application that uses language technology to evaluate the pedagogical quality of AI tutors, provides software for demonstration and evaluation, as well as model inspection and data visualization.
- Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
Ngoc Bui, Shubham Sharma, Simran Lamba, Saumitra Mishra, Rex Ying · Dec 3, 2025 · Citations: 0
Long Horizon
Across mathematical reasoning (GSM8K, MATH-500, AIME24), procedural generation (LongProc), conversational long-memory benchmarks (LongMemEval), and long-context understanding (LongBenchV2 and SCBench), TRIM-KV consistently outperforms…
- Randomized Masked Finetuning: An Efficient Way to Mitigate Memorization of PIIs in LLMs
Kunj Joshi, David A. Smith · Dec 2, 2025 · Citations: 0
We present MaxTER, a Pareto-optimal evaluation framework for assessing privacy-utility tradeoffs, and show the performance of RMFT vs Deduplication by Area Under The Response Curve (AURC) metric.
- Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
Songwen Zhao, Danqing Wang, Kexun Zhang, Jiaxuan Luo, Zhuo Li · Dec 2, 2025 · Citations: 0
To answer this question, we propose SU S VI B E S, a benchmark consisting of 200 feature-request software engineering tasks from real-world open-source projects, which, when given to human programmers, led to vulnerable implementations.
- From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars?
Dawei Li, Abdullah Alnaibari, Arslan Bisharat, Manny Sandoval, Deborah Hall · Dec 2, 2025 · Citations: 0
To assess mediation quality, we construct a large Reddit-based dataset and propose a multi-stage evaluation pipeline combining principle-based scoring, user simulation, and human comparison.
- promptolution: A Unified, Modular Framework for Prompt Optimization
Tom Zehle, Timo Heiß, Moritz Schlager, Matthias Aßenmacher, Matthias Feurer · Dec 2, 2025 · Citations: 0
It integrates multiple contemporary discrete prompt optimizers, supports systematic and reproducible benchmarking, and returns framework-agnostic prompt strings, enabling seamless integration into existing LLM pipelines while remaining…
- BOOM: Beyond Only One Modality KIT's Multimodal Multilingual Lecture Companion
Sai Koneru, Fabian Retkowski, Christian Huber, Lukas Hilgert, Seymanur Akti · Dec 2, 2025 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
Robert Belanec, Ivan Srba, Maria Bielikova · Dec 2, 2025 · Citations: 0
While its modular design supports extensibility, it natively provides a representative set of 19 PEFT methods, 27 classification and text generation datasets addressing 12 tasks, and both standard and PEFT-specific evaluation metrics.
- Cross-Lingual Interleaving for Speech Language Models
Adel Moumen, Guangzhi Sun, Philip C. Woodland · Dec 1, 2025 · Citations: 0
However, progress has been largely English-centric due to scarce spoken evaluation benchmarks and training data, making cross-lingual learning difficult.
- InnoGym: Benchmarking the Innovation Potential of AI Agents
Jintian Zhang, Kewei Xu, Jingsheng Zheng, Zhuoyun Yu, Yuqi Zhu · Dec 1, 2025 · Citations: 0
- Diffusion Model in Latent Space for Medical Image Segmentation Task
Huynh Trinh Ngoc, Toan Nguyen Hai, Ba Luong Son, Long Tran Quoc · Dec 1, 2025 · Citations: 0
Expert Verification
Medical image segmentation is crucial for clinical diagnosis and treatment planning.
