Key papers

• Qwen-AgentWorld: Language World Models for General Agents (2026)
  Yuxin Zuo et al.
  14.91
• Are We Ready For An Agent-Native Memory System? (2026)
  Wei Zhou et al.
  13.45
• PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models (2026)
  Yueyi Sun et al.
  12.02
• AutoMem: Automated Learning of Memory as a Cognitive Skill (2026)
  Shengguang Wu et al.
  11.71
• Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs (2026)
  Gabrielle Kaili-May Liu et al.
  10.98
• Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It (2026)
  Yupu Hao et al.
  10.42
• Smarter and Cheaper at Once: Byte-Exact KV-Cache Grafting Turns a Frozen Small Model into a Verified-Knowledge Flywheel (2026)
  Sietse Schelpe
  9.96
• GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity (2026)
  Yong Yi Bay et al.
  7.37
• CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression (2026)
  Morayo Danielle Adeyemi et al.
  6.91
• ReFreeKV: Towards Threshold-Free KV Cache Compression (2025)
  Xuanfan Ni et al.
  6.60
• Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models (2025)
  Jakub \v{S}m\'id et al.
  5.87
• Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training (2026)
  Zijian Zhang et al.
  5.87
• OPERA: Aligning Open-Ended Reasoning via Objective Perplexity-based Reinforcement Learning (2026)
  Wenxuan Jiang et al.
  5.82
• The Future of NLP may not be at NLP Conferences: Scholarly Migration Patterns in Natural Language Processing (2026)
  David Jurgens
  5.49
• LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning (2026)
  Matteo Boglioni et al.
  5.49
• NeuroCogMap Reveals Cognitive Organization of Large Language Models (2026)
  Zhongxiang Sun et al.
  5.01
• RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules (2026)
  \'Ad\'am Kov\'acs et al.
  5.01
• Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts (2026)
  Valentin J. J. Kreileder et al.
  5.01
• AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanations (2026)
  Javier Irigoyen et al.
  5.01
• Unlocking Speech-Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning (2026)
  Congrui Du et al.
  5.01
• SPL: Orchestrating Workflows with Declarative Deterministic-Probabilistic Composition (2026)
  Wen G. Gong
  5.01
• How Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism (2026)
  J. Mark Bishop et al.
  5.01
• Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Framework (2026)
  Riccardo Revalor et al.
  5.01
• MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction (2026)
  Ao Hong et al.
  5.01
• Two Axes of LLM Abstention: Answer Correctness and Question Answerability (2026)
  Benedikt J. Wagner
  5.01
• When the Judge Changes, So Does the Measurement: Auditing LLM-as-Judge Reliability (2026)
  Zongyou Yang et al.
  5.01
• Just Keep Prompting: Evaluating Repetitive Socratic Prompting in VLMs (2026)
  Shayda Moezzi et al.
  5.01
• Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility (2026)
  Nyx Iskandar
  5.01
• Semantic Register Compression in Multi-Agent LLM Cascades (2026)
  Manuele Tele Junior Fernandez
  5.01
• Implicit Reasoning Steering via Concept Chaining (2026)
  Xiao Ye et al.
  5.01
• The Severance Problem: LLMs are Unaware of the Person Beyond the Prompt (2026)
  Dor Litvak et al.
  5.01
• OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios (2026)
  Chengyu Shen et al.
  5.01
• Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents (2026)
  Dylan Van Mulders et al.
  5.01
• Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies (2026)
  Filippos Vlahos et al.
  5.01
• Surprisal Theory is Tautological (without Rational Grounding) (2026)
  Ryan Cotterell
  5.01
• IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources (2026)
  Arash Ghafouri et al.
  4.95
• Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training (2026)
  Jasmine Brazilek et al.
  4.95
• Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare (2026)
  Jasmine Brazilek et al.
  4.95
• DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models (2026)
  Yuxuan Yang et al.
  4.95
• Synthetic Feature Augmentation Improves Generalization Performance of Language Models (2025)
  Ashok Choudhary et al.
  4.71
• Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory (2026)
  ZhiShu Jiang et al.
  4.39
• Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model (2026)
  Junyan Tan et al.
  4.39
• Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing (2026)
  Joshua Penman
  4.39
• Pre-Flight: A Benchmark for Evaluating Large Language Models on Aviation Operational Knowledge (2026)
  Alex Brooker et al.
  4.39
• Multimodal Knowledge Edit-Scoped Generalization for Online Recursive MLLM Editing (2026)
  Siyuan Li et al.
  4.39
• SkillFuzz: Fuzzing Skill Composition for Implicit Intents Discovery in Open Skill Marketplaces (2026)
  Jinwei Hu et al.
  4.39
• What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates (2026)
  Arman Ghaffarizadeh et al.
  4.39
• Collective Intelligence with Foundation Models (2026)
  J. de Curt\`o et al.
  4.39
• Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning (2026)
  Bowei He et al.
  4.39
• Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs (2026)
  Robert Graham et al.
  4.39
• Detecting LLM-Generated Tokens in Human--LLM Coauthored Text (2026)
  Yangjun Lu et al.
  4.39
• Efficiently Representing Algorithms With Chain-of-Thought Transformers (2026)
  Yanhong Li et al.
  4.33
• When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents (2026)
  Kaiyue Yang et al.
  4.33
• Knowledge-Graph Grounding Helps LLMs Only for Out-of-Training Knowledge: A Controlled Study on Clinical Question Answering (2026)
  Madhulatha Mandarapu et al.
  4.33
• Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models (2026)
  Ahmad Pouramini et al.
  4.33
• Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection (2026)
  Ruslan Berdichevsky et al.
  4.33
• ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments (2026)
  Taicheng Guo et al.
  4.33
• Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents (2026)
  Yuxin Wang et al.
  4.33
• Beyond Next-Observation Prediction: Agent-Authored World Modeling for Sequential Decision Making (2026)
  Guangfeng Cai et al.
  4.33
• Evaluating Japanese Dialect Robustness Across Speech and Text-based Large Language Models (2026)
  Tomoya Mizumoto et al.
  4.33