Chenghao Zhang

Progressive Multimodal Reasoning via Active Retrieval

2024 · arXiv (Cornell University)

Multi-step multimodal reasoning tasks pose significant challenges for multimodal large language models (MLLMs), and finding effective ways to enhance their performance in such scenarios remains an unresolved issue. In this paper, we propose AR-MCTS, a …

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

2025

Retrieval-augmented generation (RAG) has effectively mitigated the hallucination problem of large language models (LLMs). However, the difficulty of aligning the retriever with the LLMs' diverse knowledge preferences inevitably poses a challenge in developing a reliable …

Accelerating Instanton Theory with the Line Integral Nudged Elastic Band Method and Gaussian Process Regression

2025 · ChemRxiv

Quantum tunneling plays a fundamental role in many chemical reactions, particularly proton transfer processes. Ring polymer instanton theory offers a practical framework for computing tunneling rates in complex molecular systems. However, applying the ring polymer …