Papers

• LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts (2026)
  Yang Liu et al.
  1.94
• Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging (2025)
  Shiqi Chen et al.
  1.28
• Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models (2025)
  Zhiyuan Hu et al.
  1.28
• Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models (2025)
  Tianfan Peng et al.
  1.28
• JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources (2024)
  Benjamin Clavié
  —
• AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark (2024)
  Wenhao Chai et al.
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• If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs (2024)
  Muhammad Khalifa et al.
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