most citedChemLLM: A Chemical Large Language Model

46 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes

Yaoting Wang, Peiwen Sun, Dongzhan Zhou +3

Traditional reference segmentation tasks have predominantly focused on silent visual scenes, neglecting the integral role of multimodal perception and interaction in human experien…

cs.AI20247 cited

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Di Zhang, Xiaoshui Huang, Dongzhan Zhou +2

This paper introduces the MCT Self-Refine (MCTSr) algorithm, an innovative integration of Large Language Models (LLMs) with Monte Carlo Tree Search (MCTS), designed to enhance perf…

q-bio.QM2024

Physical formula enhanced multi-task learning for pharmacokinetics prediction

Ruifeng Li, Dongzhan Zhou, Ancheng Shen +9

Artificial intelligence (AI) technology has demonstrated remarkable potential in drug dis-covery, where pharmacokinetics plays a crucial role in determining the dosage, safety, and…

cs.CV2024

LOCR: Location-Guided Transformer for Optical Character Recognition

Yu Sun, Dongzhan Zhou, Chen Lin +3

Academic documents are packed with texts, equations, tables, and figures, requiring comprehensive understanding for accurate Optical Character Recognition (OCR). While end-to-end O…

cs.AI202446 cited

ChemLLM: A Chemical Large Language Model

Di Zhang, Wei Liu, Qian Tan +12

Large language models (LLMs) have made impressive progress in chemistry applications. However, the community lacks an LLM specifically designed for chemistry. The main challenges a…