Papers

• CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery (2026)
  Ao Qu et al.
  1.83
• The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering (2025)
  Zhuowei Li et al.
  1.28
• Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images (2025)
  Boyang Deng et al.
  1.28
• NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes (2025)
  Tianyang Xu et al.
  1.28
• When Does Reasoning Matter? A Controlled Study of Reasoning's Contribution to Model Performance (2025)
  Nicolas Boizard et al.
  1.28
• Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulations (2025)
  Jinkun Chen et al.
  1.28
• Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following (2025)
  Tianyi Xiong et al.
  1.28
• Generative Multimodal Models are In-Context Learners (2023)
  Quan Sun et al.
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• Towards Open-ended Visual Quality Comparison (2024)
  Haoning Wu et al.
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• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs (2024)
  Zesen Cheng et al.
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• Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation (2024)
  Jirui Qi et al.
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• HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models (2024)
  Haoran Que et al.
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• GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation (2024)
  Pengfei Zhou et al.
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• ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities (2024)
  Adhiraj Ghosh et al.
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