Key papers

• Ministral 3 (2026)
  Alexander H. Liu et al.
  1.94
• Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification (2026)
  Yuxuan Wan et al.
  1.94
• MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods (2026)
  Honglin Lin et al.
  1.94
• REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents (2026)
  Zheng Chu et al.
  1.94
• Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? (2026)
  Dadi Guo et al.
  1.94
• PLDR-LLMs Reason At Self-Organized Criticality (2026)
  Burc Gokden
  1.94
• VoxMind: An End-to-End Agentic Spoken Dialogue System (2026)
  Tianle Liang et al.
  1.94
• CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models (2026)
  Wenxuan Song et al.
  1.94
• Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement (2026)
  Dingwei Chen et al.
  1.94
• APPO: Agentic Procedural Policy Optimization (2026)
  Xucong Wang et al.
  1.94
• The Verification Horizon: No Silver Bullet for Coding Agent Rewards (2026)
  Binghai Wang et al.
  1.94
• SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions (2026)
  Mohit Raghavendra et al.
  1.94
• EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL (2026)
  Minrui Xu et al.
  1.89
• Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora (2026)
  Chenkai Pan et al.
  1.83
• Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation (2026)
  Zhuolin Yang et al.
  1.78
• Control LLM: Controlled Evolution for Intelligence Retention in LLM (2025)
  Haichao Wei et al.
  1.28
• Baichuan-Omni-1.5 Technical Report (2025)
  Yadong Li et al.
  1.28
• 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 a Single Model Master Both Multi-turn Conversations and Tool Use? CALM: A Unified Conversational Agentic Language Model (2025)
  Emre Can Acikgoz et al.
  1.28
• Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content (2025)
  Zicheng Zhang 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
• Why Personalizing Deep Learning-Based Code Completion Tools Matters (2025)
  Alessandro Giagnorio et al.
  1.28
• V-MAGE: A Game Evaluation Framework for Assessing Visual-Centric Capabilities in Multimodal Large Language Models (2025)
  Xiangxi Zheng et al.
  1.28
• Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning (2025)
  Xiaokun Wang et al.
  1.28
• Perceptual Decoupling for Scalable Multi-modal Reasoning via Reward-Optimized Captioning (2025)
  Yunhao Gou et al.
  1.28
• Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering (2025)
  Akash Gupta et al.
  1.28
• Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning (2025)
  Jikai Jin et al.
  1.28
• GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning (2025)
  Guizhen Chen et al.
  1.28
• UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning (2025)
  Ye Liu et al.
  1.28
• Video models are zero-shot learners and reasoners (2025)
  Thaddäus Wiedemer et al.
  1.28
• AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models (2025)
  Zihao Zhu et al.
  1.28
• FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting (2025)
  Zefeng He et al.
  1.28
• BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs (2025)
  Yue Wang et al.
  1.28
• Position: Privacy Is Not Just Memorization! (2025)
  Niloofar Mireshghallah et al.
  1.28
• Hybrid Architectures for Language Models: Systematic Analysis and Design Insights (2025)
  Sangmin Bae et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery (2025)
  Yuqi Yin et al.
  1.28
• EMMA: Efficient Multimodal Understanding, Generation, and Editing with a Unified Architecture (2025)
  Xin He et al.
  1.28
• StarCoder: may the source be with you! (2023)
  Raymond Li et al.
  —
• VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models (2023)
  Wenlong Huang et al.
  —
• Tiny LVLM-eHub: Early Multimodal Experiments with Bard (2023)
  Wenqi Shao et al.
  —
• MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation (2024)
  Kunpeng Song et al.
  —
• JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources (2024)
  Benjamin Clavié
  —
• Text2SQL is Not Enough: Unifying AI and Databases with TAG (2024)
  Asim Biswal et al.
  —
• Revealing the Barriers of Language Agents in Planning (2024)
  Jian Xie et al.
  —
• DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning (2024)
  Gaoyue Zhou et al.
  —
• If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs (2024)
  Muhammad Khalifa et al.
  —
• Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search (2024)
  Huanjin Yao et al.
  —