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Yongrui Heng

2 accepted papers

2026

From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

ICML 2026poster

As Large Multimodal Models (LMMs) scale up and reinforcement learning (RL) methods mature, LMMs have made notable progress in complex reasoning and decision making. Yet training still relies on static data and fixed recipes, making it difficult to diagnose capability blind spots or provide dynamic, …

Cited by 0SourceScholar
2025

VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought

NeurIPS 2025poster

Recently, reasoning-based MLLMs have achieved a degree of success in generating long-form textual reasoning chains. However, they still struggle with complex tasks that necessitate dynamic and iterative focusing on and revisiting of visual regions to achieve precise grounding of textual reasoning in…

Cited by 0SourceScholar