Tianyi Zhou

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authored 3 papers 5 days ago

Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs

Paper • 2504.20406 • Published 22 days ago • 6

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations for Synthetic Videos

Paper • 2505.01481 • Published 18 days ago

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Paper • 2505.09568 • Published 6 days ago • 76

upvoted a paper 5 days ago

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Paper • 2505.09568 • Published 6 days ago • 76

upvoted a paper 14 days ago

Exploring Expert Failures Improves LLM Agent Tuning

Paper • 2504.13145 • Published Apr 17 • 12

upvoted a paper 20 days ago

GraphicBench: A Planning Benchmark for Graphic Design with Language Agents

Paper • 2504.11571 • Published Apr 15 • 1

authored a paper 27 days ago

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Paper • 2504.15785 • Published 28 days ago • 19

upvoted a paper 28 days ago

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Paper • 2504.15785 • Published 28 days ago • 19

commented 2 papers 28 days ago

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Paper • 2504.15785 • Published 28 days ago • 19 •

4

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Paper • 2504.15785 • Published 28 days ago • 19 •

4

authored 2 papers about 1 month ago

GraphicBench: A Planning Benchmark for Graphic Design with Language Agents

Paper • 2504.11571 • Published Apr 15 • 1

Exploring Expert Failures Improves LLM Agent Tuning

Paper • 2504.13145 • Published Apr 17 • 12

commented 2 papers about 1 month ago

Exploring Expert Failures Improves LLM Agent Tuning

Paper • 2504.13145 • Published Apr 17 • 12 •

4

Exploring Expert Failures Improves LLM Agent Tuning

Paper • 2504.13145 • Published Apr 17 • 12 •

4

liked a dataset about 1 month ago

umd-zhou-lab/ColorBench

Viewer • Updated 5 days ago • 5.81k • 232 • 3

authored 3 papers about 1 month ago

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Paper • 2502.14296 • Published Feb 20 • 46

AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?

Paper • 2410.21259 • Published Oct 28, 2024 • 1

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Paper • 2504.10514 • Published Apr 10 • 46

upvoted a paper about 1 month ago

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Paper • 2504.10514 • Published Apr 10 • 46

commented a paper about 1 month ago

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Paper • 2504.10514 • Published Apr 10 • 46 •

4