Papers

• Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models (2025)
  Dante Campregher et al.
  1.33
• SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models (2025)
  Hardy Chen et al.
  1.28
• Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning (2025)
  Jikai Jin et al.
  1.28
• Instruction-Following Evaluation in Function Calling for Large Language Models (2025)
  Nikolai Skripko
  1.28
• The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality (2025)
  Aileen Cheng et al.
  1.28
• Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (2024)
  Zixiang Chen et al.
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• Bielik 7B v0.1: A Polish Language Model -- Development, Insights, and Evaluation (2024)
  Krzysztof Ociepa et al.
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• NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts (2024)
  Yen-Ting Lin et al.
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