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Qian Tan

2 accepted papers

2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

AAAI 2025technical

Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the processing of visual information, which cannot be successfully handled by existing chemical LLMs. This brings a growing…

2024

Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement

EMNLP 2024main

Large language models (LLMs) demonstrate exceptional instruct-following ability to complete various downstream tasks. Although this impressive ability makes LLMs flexible task solvers, their performance in solving tasks also heavily relies on instructions. In this paper, we reveal that LLMs are over…

Cited by 4SourcePDFScholar