Key papers

• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  4.25
• Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning (2026)
  Shijie Li et al.
  2.00
• s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs (2026)
  Balaji Rao et al.
  1.94
• WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning (2026)
  Juyong Jiang et al.
  1.94
• Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models (2026)
  Aswin RRV et al.
  1.89
• Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context (2026)
  Keivan Alizadeh et al.
  1.78
• LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing (2026)
  Hao Li et al.
  1.67
• SketchJudge: A Diagnostic Benchmark for Grading Hand-drawn Diagrams with Multimodal Large Language Models (2026)
  Yuhang Su et al.
  1.67
• Benchmarking Optimizers for Large Language Model Pretraining (2025)
  Andrei Semenov et al.
  1.44
• SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs (2025)
  Shengyu Feng et al.
  1.39
• LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization (2025)
  Suchen Liu et al.
  1.33
• Speculative Ad-hoc Querying (2025)
  Haoyu Li et al.
  1.28
• LLPut: Investigating Large Language Models for Bug Report-Based Input Generation (2025)
  Alif Al Hasan et al.
  1.28
• A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone (2025)
  Jitai Hao et al.
  1.28
• Use Property-Based Testing to Bridge LLM Code Generation and Validation (2025)
  Lehan He et al.
  1.28
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding (2025)
  Yuhang Li et al.
  1.28
• ReCode: Unify Plan and Action for Universal Granularity Control (2025)
  Zhaoyang Yu et al.
  1.28
• R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing (2025)
  Tianyu Fu et al.
  1.22
• Distill-C: Enhanced NL2SQL via Distilled Customization with LLMs (2025)
  Cong Duy Vu Hoang et al.
  1.17
• Learning from Failures in Multi-Attempt Reinforcement Learning (2025)
  Stephen Chung et al.
  1.11
• RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs (2025)
  Zhongzhan Huang et al.
  1.11
• SQLong: Enhanced NL2SQL for Longer Contexts with LLMs (2025)
  Dai Quoc Nguyen et al.
  1.06
• Self-Refine: Iterative Refinement with Self-Feedback (2023)
  Aman Madaan et al.
  —
• GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction (2023)
  Rui Yang et al.
  —
• AutoML-GPT: Large Language Model for AutoML (2023)
  Yun-Da Tsai et al.
  —
• Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments (2024)
  Sitao Cheng et al.
  —
• YuLan: An Open-source Large Language Model (2024)
  Yutao Zhu et al.
  —
• TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning (2024)
  Xinyuan Lu et al.
  —
• H2O Open Ecosystem for State-of-the-art Large Language Models (2023)
  Arno Candel et al.
  —
• Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs (2024)
  Xin Lai et al.
  —
• Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training (2024)
  Youliang Yuan et al.
  —
• RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering (2024)
  Pratyush Kumar et al.
  —
• Making Text Embedders Few-Shot Learners (2024)
  Chaofan Li et al.
  —
• Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction (2024)
  Zhenmei Shi et al.
  —
• MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models (2024)
  Pei Wang et al.
  —
• SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding (2024)
  Hao Li et al.
  —
• CAD-Recode: Reverse Engineering CAD Code from Point Clouds (2024)
  Danila Rukhovich et al.
  —