Papers

• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  4.25
• SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion (2026)
  Paul Engstler et al.
  2.00
• DrugGen 2: A disease-aware language model for enhancing drug discovery (2026)
  Ali Motahharynia et al.
  2.00
• Enhancing In-context Panoramic Generation via Geometric-aware Pretraining (2026)
  Haoran Feng et al.
  2.00
• EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs (2026)
  Jewon Yeom et al.
  1.94
• Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models (2026)
  Aswin RRV et al.
  1.89
• SEVerA: Verified Synthesis of Self-Evolving Agents (2026)
  Debangshu Banerjee et al.
  1.78
• SERA: Soft-Verified Efficient Repository Agents (2026)
  Ethan Shen et al.
  1.67
• Learning to Reason as Action Abstractions with Scalable Mid-Training RL (2025)
  Shenao Zhang et al.
  1.44
• SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity (2025)
  Samir Khaki et al.
  1.28
• Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs (2025)
  Liang Zeng et al.
  1.28
• Technical Report: Full-Stack Fine-Tuning for the Q Programming Language (2025)
  Brendan R. Hogan et al.
  1.28
• Improving AMR Parsing with Sequence-to-Sequence Pre-training (2020)
  Dongqin Xu et al.
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• ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021)
  Shuohuan Wang et al.
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• PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning (2024)
  Qibin Wang et al.
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• GMoE: Empowering LLMs Fine-Tuning via MoE Graph Collaboration (2024)
  Ting Bai et al.
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• TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT (2023)
  Liangyu Zha et al.
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• Lemur: Harmonizing Natural Language and Code for Language Agents (2023)
  Yiheng Xu et al.
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• H2O Open Ecosystem for State-of-the-art Large Language Models (2023)
  Arno Candel et al.
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• Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models (2024)
  Keisuke Kamahori et al.
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• Advancing LLM Reasoning Generalists with Preference Trees (2024)
  Lifan Yuan et al.
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• Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients (2024)
  Aashiq Muhamed et al.
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• LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models (2024)
  Zhengyi Wang et al.
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• AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling (2024)
  Zihan Liu et al.
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