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
• 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
• Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation (2025)
  Yang Wu et al.
  1.28
• Speculative Ad-hoc Querying (2025)
  Haoyu Li 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
• IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video? (2025)
  Yang Chen 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
• 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.
  —
• Visual Instruction Tuning (2023)
  Haotian Liu et al.
  —
• GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction (2023)
  Rui Yang et al.
  —
• Selective Demonstrations for Cross-domain Text-to-SQL (2023)
  Shuaichen Chang et al.
  —
• LLM360: Towards Fully Transparent Open-Source LLMs (2023)
  Zhengzhong Liu et al.
  —
• Sketch: A Toolkit for Streamlining LLM Operations (2024)
  Xin Jiang et al.
  —
• H2O Open Ecosystem for State-of-the-art Large Language Models (2023)
  Arno Candel et al.
  —
• PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM (2024)
  Tao Yang et al.
  —
• Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs (2024)
  Xin Lai 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.
  —
• UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages (2024)
  Bethel Melesse Tessema 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.
  —
• From Elements to Design: A Layered Approach for Automatic Graphic Design Composition (2024)
  Jiawei Lin et al.
  —