Exploring Expert Failures Improves LLM Agent Tuning
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2504.13145
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12
Tianyi Zhou
zhoutianyi
AI & ML interests
ML, NLP, RL, Multi-modality
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Exploring Expert Failures Improves LLM Agent Tuning
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GraphicBench: A Planning Benchmark for Graphic Design with Language
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WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World
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On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
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2502.14296
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AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
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2410.21259
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ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
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2504.10514
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ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
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2504.10514
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ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
Paper
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2504.10514
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ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
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2504.10514
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