VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning Paper • 2507.13348 • Published 4 days ago • 68
VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning Paper • 2505.22019 • Published May 28 • 11
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning Paper • 2504.07956 • Published Apr 10 • 47
Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs Paper • 2503.02846 • Published Mar 4 • 19
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents Paper • 2502.18017 • Published Feb 25 • 20
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Paper • 2502.06781 • Published Feb 10 • 61
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20 • 106
VisionZip: Longer is Better but Not Necessary in Vision Language Models Paper • 2412.04467 • Published Dec 5, 2024 • 117
MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines Paper • 2409.12959 • Published Sep 19, 2024 • 38
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher Paper • 2407.20183 • Published Jul 29, 2024 • 44
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs Paper • 2406.14544 • Published Jun 20, 2024 • 36
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions Paper • 2406.04325 • Published Jun 6, 2024 • 76
view article Article License to Call: Introducing Transformers Agents 2.0 By m-ric and 2 others • May 13, 2024 • 132
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models Paper • 2403.12881 • Published Mar 19, 2024 • 18
T-Eval: Evaluating the Tool Utilization Capability Step by Step Paper • 2312.14033 • Published Dec 21, 2023 • 2