5 citations · 7 across the 8 of their papers we have counts for
5 papers · 2 filters
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare
Jingwei Zhu, Minghuan Tan, Min Yang +2
The rapid progress in Large Language Models (LLMs) has prompted the creation of numerous benchmarks to evaluate their capabilities.This study focuses on the Comprehensive Medical B…
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
Chenhao Zhang, Renhao Li, Minghuan Tan +7
Using large language models (LLMs) to assist psychological counseling is a significant but challenging task at present. Attempts have been made on improving empathetic conversation…
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
Ancheng Xu, Minghuan Tan, Lei Wang +2
Numeral systems and units of measurement are two conjoined topics in activities of human beings and have mutual effects with the languages expressing them. Currently, the evaluatio…
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
Renhao Li, Minghuan Tan, Derek F. Wong +1
In recent years, instruction fine-tuning (IFT) on large language models (LLMs) has garnered considerable attention to enhance model performance on unseen tasks. Attempts have been…
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
Jiahao Zhao, Jingwei Zhu, Minghuan Tan +8
In this paper, we introduce a novel psychological benchmark, CPsyExam, constructed from questions sourced from Chinese language examinations. CPsyExam is designed to prioritize psy…