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• MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
  2023 · 18 citations
• Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond
  2023 · 4 citations
• Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering
  2025 · 3 citations
• ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code
  2023 · 2 citations
• Towards a Unified View of Preference Learning for Large Language Models: A Survey
  2024 · 1 citations
• FaithLens: Detecting and Explaining Faithfulness Hallucination
  2025
• Sparse Training Scheme for Multimodal LLM
  2025
• Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
  2025
• G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning
  2025
• Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
  2025
• Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints
  2024
• Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
  2024