Key papers

• Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning (2026)
  Junyao Yang et al.
  11.84
• Group Entropy-Controlled Policy Optimization (2026)
  Guangran Cheng et al.
  10.42
• Understanding Reasoning from Pretraining to Post-Training (2026)
  Jingyan Shen et al.
  10.15
• LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks (2026)
  Tianzhu Ye et al.
  9.90
• Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift (2026)
  Zitong Huang et al.
  7.36
• On Improving Faithfulness of Podcasts from Documents (2026)
  Soumya Dutta et al.
  5.89
• Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES (2026)
  Hunter Heidenreich
  5.87
• Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations (2026)
  Hiskias Dingeto
  5.85
• Do You Need a Frontier Model as a Citation Verifier? Benchmarking Rubric LLMs for Deep-Research Source Attribution (2026)
  Ethan Leung et al.
  5.49
• The Hard Decision Layer: Evidence for Committed Inference in Transformers (2026)
  Ashwath Vaithinathan Aravindan et al.
  5.49
• Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science (2026)
  Davide Scarso et al.
  5.49
• Measuring Reward-Seeking via Contrastive Belief Updates (2026)
  Axel H{\o}jmark et al.
  5.01
• The Storyteller in the Model: Narrative Pattern Inheritance, Escalation Dynamics, and Alignment Governance in LLMs (2026)
  Adam Rigby et al.
  5.01
• The Geometry of Personality: Activation Steering with Jungian Cognitive Functions (2026)
  Liu Zai (University of Glasgow) et al.
  5.01
• A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP Dataset (2026)
  Katerina Papantoniou et al.
  5.01
• Learning What Matters: Supervising Sparse Attention Routing with Causal Evidence Sets (2026)
  Jim Allchin
  5.01
• Adversarial Prompts for Acceptance Collapse in Speculative Decoding (2026)
  Run Wang et al.
  5.01
• Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA (2026)
  Joan Figuerola Hurtado
  5.01
• J-CoT: Chain-of-Thought in J-Space (2026)
  Junde Wu et al.
  5.01
• Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs (2026)
  Zixuan Ren et al.
  5.01
• Dissociating the Internal Representations of Sycophancy in LLMs (2026)
  Anthony Baez et al.
  4.39
• Interpreting Latent CoT Reasoning as Dynamical Systems (2026)
  Sabari Iyyappan Duraipandian et al.
  4.39
• Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts (2026)
  Renuka Oladri et al.
  4.39
• A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization (2026)
  Lingyun Shen et al.
  4.39
• Demographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement (2026)
  Mahammed Kamruzzaman et al.
  4.39
• Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation (2026)
  Alaina Brandt
  4.39
• How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI (2026)
  Haram Choi (University of Bremen)
  4.39
• AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation (2026)
  Saifur Rahman Tamim et al.
  4.39
• Feature Generation Using LLMs: An Evolutionary Algorithm Approach (2026)
  Aria Nourbakhsh et al.
  4.39
• Mark, Don't Erase: Token Inoculation for Dual-Use Knowledge in LLMs (2026)
  Seunghyun Lee et al.
  4.39
• HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks (2026)
  Haozhe Jia
  4.39
• Beyond Liars' Bench: The Impact of Lie Typology, Depth, and Sparsity on Deception Detection in LLMs (2026)
  Amr Moustafa et al.
  4.39
• GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries (2026)
  Miguel P. Bento et al.
  4.39
• From Obligation to Specification: A Survey on Validating EU AI Act Requirements in RE (2026)
  T. Y. Emmy Lai et al.
  4.39
• Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration (2026)
  Vishnu Bindu Balachandran
  4.39
• LeAct: Learning to Reason from Expert Actions (2026)
  Ziran Yang et al.
  4.39
• Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning (2026)
  Shujin Wu et al.
  4.39
• Learning to Reason for Factuality (2025)
  Xilun Chen et al.
  3.52
• Theoria: Rewrite-Acceptability Verification over Informal Reasoning States (2026)
  Michael Saldivar et al.
  3.51
• Prompt Robustness Is Task-Dependent: Comparing Objective and Belief-Style Questions in LLM Evaluation (2026)
  Sadia Kamal et al.
  3.51
• InfluMatch: Frontier-Quality KOL Search at 4B-Model Cost (2026)
  Krittanon Kaewtawee et al.
  3.51
• Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design (2026)
  Alexander Rombach et al.
  3.51
• Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs (2026)
  Andrea Bacciu et al.
  3.51
• What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness (2026)
  Rapha\"el Sarfati et al.
  3.51
• Trusting sovereign language models as scientific instruments: evidence from Portugal's AMALIA (2026)
  Manuel Pita
  3.51
• Length Penalties Make Chain-of-Thought Less Monitorable (2026)
  Bryce Little
  3.51
• MAGE: Understanding Stability-Performance Trade-offs in Multi-component Prompt Optimization (2026)
  Prateek Singh
  3.51
• Agentic systems for breast cancer treatment recommendations (2026)
  Vinicius Anjos de Almeida et al.
  3.51
• We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference (2026)
  Thomas Hikaru Clark et al.
  3.51
• RCWT: Measuring Task-Budget Displacement from Coordination Content in LLM Calls (2026)
  Brenda Lelis et al.
  3.51
• VanillaBench: The Hidden Accuracy Cost of Adversarial Robustness (2026)
  Niklas Bunzel
  3.51
• Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making? (2026)
  Minh Khoi Ho et al.
  3.51
• Less Experts, Faster Decoding: Cost-Aware Speculative Decoding for Mixture-of-Experts (2026)
  Jincheng Xie et al.
  3.51
• Hidden in Thought: Transferable Chain-of-Thought Artifacts Induce Harmful Behavior (2026)
  Ali khalil et al.
  3.51
• Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning (2026)
  Leichao Dong et al.
  3.51
• RIMS: Preference Optimization via Smoothed Multi-pair Aggregation for Small-Scale LLM Retrieval-Augmented Generation (2026)
  Pei Tian et al.
  3.51
• Committed Before Reasoning: Behavioral Reproduction and Preliminary Activation-Level Evidence of Answer Pre-Commitment in an Open-Weight LLM (2026)
  Heejin Jo
  3.51
• Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs (2026)
  Sharath Naganna et al.
  3.51
• Diagnosing Correctness Probes under Self-Judgement Confounding (2026)
  Yi-Long Lu
  3.51
• Schema-Constrained Document-Level Event Argument Extraction with Lightweight LLM Fine-Tuning (2026)
  Roberto Pietrantuono et al.
  3.51