3 papers
cs.CV2026
V-Zero: Self-Improving Multimodal Reasoning with Zero Annotation
Han Wang, Yi Yang, Jingyuan Hu +2
Recent advances in multimodal learning have significantly enhanced the reasoning capabilities of vision-language models (VLMs). However, state-of-the-art approaches rely heavily on…
cs.CL2025
Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Framework
Zhaorui Yang, Bo Pan, Han Wang +8
Visualizations play a crucial part in effective communication of concepts and information. Recent advances in reasoning and retrieval augmented generation have enabled Large Langua…
cs.CL2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Zhaorui Yang, Tianyu Pang, Haozhe Feng +4
The surge in Large Language Models (LLMs) has revolutionized natural language processing, but fine-tuning them for specific tasks often encounters challenges in balancing performan…