Key papers

• CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation (2026)
  Zhongyuan Peng et al.
  1.94
• AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research (2026)
  Yishan Li et al.
  1.94
• OCR-Agent: Agentic OCR with Capability and Memory Reflection (2026)
  Shimin Wen et al.
  1.94
• LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning (2026)
  Jianing Wang et al.
  1.94
• Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning (2026)
  Jiayi Lei et al.
  1.94
• Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models (2026)
  Dehai Min et al.
  1.89
• The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles (2025)
  Vernon Y. H. Toh et al.
  1.28
• Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? (2025)
  Yancheng He et al.
  1.28
• LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL (2025)
  Yingzhe Peng et al.
  1.28
• Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty? (2025)
  Giacomo Camposampiero et al.
  1.28
• R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization (2025)
  Jingyi Zhang et al.
  1.28
• Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation (2025)
  Jiakai Tang et al.
  1.28
• CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis (2025)
  Anjiang Wei et al.
  1.28
• SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models (2025)
  Hardy Chen et al.
  1.28
• Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models (2025)
  Yunxin Li et al.
  1.28
• Think Only When You Need with Large Hybrid-Reasoning Models (2025)
  Lingjie Jiang et al.
  1.28
• When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning (2025)
  Xiaoyun Zhang et al.
  1.28
• How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study (2025)
  Zhexin Zhang et al.
  1.28
• STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs (2025)
  Zongzhao Li et al.
  1.28
• MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks (2025)
  Guiyao Tie et al.
  1.28
• ARM: Adaptive Reasoning Model (2025)
  Siye Wu et al.
  1.28
• When Models Reason in Your Language: Controlling Thinking Trace Language Comes at the Cost of Accuracy (2025)
  Jirui Qi et al.
  1.28
• SiLVR: A Simple Language-based Video Reasoning Framework (2025)
  Ce Zhang et al.
  1.28
• CoRT: Code-integrated Reasoning within Thinking (2025)
  Chengpeng Li et al.
  1.28
• Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs (2025)
  Yangning Li et al.
  1.28
• Inverse Scaling in Test-Time Compute (2025)
  Aryo Pradipta Gema et al.
  1.28
• Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal (2025)
  Wenhao Zeng et al.
  1.28
• Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward (2025)
  Yong Deng et al.
  1.28
• AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs (2025)
  Sidharth Surapaneni et al.
  1.28
• Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning (2025)
  Yifei Chen et al.
  1.28
• Scaling Policy Compliance Assessment in Language Models with Policy Reasoning Traces (2025)
  Joseph Marvin Imperial et al.
  1.28
• Chem-R: Learning to Reason as a Chemist (2025)
  Weida Wang et al.
  1.28
• Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains (2025)
  Austin Xu et al.
  1.28
• PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments (2025)
  Weijie Zhou et al.
  1.28
• CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay (2024)
  Natasha Butt et al.
  —
• UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios (2024)
  Baichuan Zhou et al.
  —
• Bielik 7B v0.1: A Polish Language Model -- Development, Insights, and Evaluation (2024)
  Krzysztof Ociepa et al.
  —
• Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search (2024)
  Huanjin Yao et al.
  —