cs.AI

Papers

• Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference (2026)
  Sangyun Lee et al.
  15.03
• MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research (2026)
  Dingbang Wu et al.
  14.25
• Rethinking Memory as Continuously Evolving Connectivity (2026)
  Jizhan Fang et al.
  13.31
• OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration (2026)
  Xinchen Zhang et al.
  11.20
• Coding Speech through Vocal Tract Kinematics (2025)
  Cheol Jun Cho et al.
  11.19
• Recursive Flow Matching (2026)
  Jiahe Huang et al.
  11.02
• QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents (2026)
  Ye Yuan et al.
  10.67
• Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders (2026)
  Yi Jing et al.
  10.61
• Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models (2026)
  Mingze Wang et al.
  10.48
• ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence (2026)
  Rui Meng et al.
  10.05
• VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions (2026)
  Yuxin Chen et al.
  10.05
• Channel-wise Vector Quantization (2026)
  Wei Song et al.
  9.33
• MobileMoE: Scaling On-Device Mixture of Experts (2026)
  Yanbei Chen et al.
  9.24
• Models That Know How Evaluations Are Designed Score Safer (2026)
  Katharina Deckenbach et al.
  9.04
• Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows (2026)
  Harshada Badave et al.
  8.91
• PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance (2025)
  Qijun Gan et al.
  8.70
• Less is More: Early Stopping Rollout for On-Policy Distillation (2026)
  Zhou Ziheng et al.
  8.54
• Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments (2026)
  Yuxin Chen et al.
  8.11
• Multi-Agent Causal Discovery Using Large Language Models (2026)
  Hao Duong Le et al.
  7.59
• Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation (2026)
  Shuhong Zheng et al.
  7.39
• MEMS and ECM Sensor Technologies for Cardiorespiratory Sound Monitoring - A Comprehensive Review (2025)
  Yasaman Torabi et al.
  7.16
• Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization (2026)
  Anmol Agarwal et al.
  6.98
• On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach (2026)
  Jiahui Bai et al.
  6.77
• Can LLMs Introspect? A Reality Check (2026)
  Shashwat Singh et al.
  6.17
• CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations (2026)
  Mike Zhang et al.
  6.17
• Cross-scale Aligned Supervision for Training GANs (2026)
  Sangeek Hyun et al.
  6.17
• SIA: Self Improving AI with Harness & Weight Updates (2026)
  Prannay Hebbar et al.
  5.68
• Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts (2025)
  Paige Tuttosi et al.
  5.24
• Real-time Speech Summarization for Medical Conversations (2025)
  Khai Le-Duc et al.
  5.24
• Reading or Guessing? Visual Grounding Failures of Vision-Language Models for OCR in Ancient Greek Editions (2026)
  Antonia Karamolegkou et al.
  5.06
• Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation and Monotonicity (2026)
  Michael T. M. Emmerich
  5.06
• Advancing Creative Physical Intelligence in Large Multimodal Models (2026)
  Cheng Qian et al.
  5.04
• Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases (2026)
  Dongyoon Hahm et al.
  5.04
• A Sharper Picture of Generalization in Transformers (2026)
  Paul Lintilhac et al.
  4.54
• Variance Reduction for Expectations with Diffusion Teachers (2026)
  Jesse Bettencourt et al.
  4.54
• DEPART: DEcomposing PARiTy across Multilingual LLMs (2026)
  Manan Uppadhyay et al.
  4.54
• Pruning and Distilling Mixture-of-Experts into Dense Language Models (2026)
  Junhyuck Kim et al.
  4.54
• PrunePath: Towards Highly Structured Sparse Language Models (2026)
  Zhexuan Gu et al.
  4.54
• Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning (2026)
  Yahan Yu et al.
  4.54
• Routing-Aligned Fine-Tuning for Multilingual Downstream Tasks in Mixture-of-Experts Models (2026)
  Guanzhi Deng et al.
  4.54
• The Cases LJP Never Sees: Prosecution Decision Prediction for More Complete Criminal Liability Assessment (2026)
  Junyu Lu et al.
  4.54
• Evaluating the Realism of LLM-powered Social Agents: A Case Study of Reactions to Spanish Online News (2026)
  Alejandro Buitrago L\'opez et al.
  4.54
• Towards Reliable Multilingual LLMs-as-a-Judge: An Empirical Study (2026)
  Irune Zubiaga et al.
  4.54
• IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents (2026)
  Michael Galarnyk et al.
  4.54
• Skill-Conditioned Gated Self-Distillation for LLM Reasoning (2026)
  Jiazhen Huang et al.
  4.54
• AgentAtlas: Beyond Outcome Leaderboards for LLM Agents (2026)
  Parsa Mazaheri et al.
  3.91
• Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images (2026)
  Jos\'ephine Raugel et al.
  3.91
• MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation (2026)
  Szu-Chi Chen et al.
  3.87
• Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research (2025)
  Eleonora Mancini et al.
  3.58
• Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations (2025)
  Bulat Khaertdinov et al.
  3.58