activity
20202026
most citedOne Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code

7 citations · 22 across the 21 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.CL2024

DualCoTs: Dual Chain-of-Thoughts Prompting for Sentiment Lexicon Expansion of Idioms

Fuqiang Niu, Minghuan Tan, Bowen Zhang +2

Idioms represent a ubiquitous vehicle for conveying sentiments in the realm of everyday discourse, rendering the nuanced analysis of idiom sentiment crucial for a comprehensive und…

cs.CL2024

APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation

Yuxuan Hu, Minghuan Tan, Chenwei Zhang +5

Empathetic response generation is designed to comprehend the emotions of others and select the most appropriate strategies to assist them in resolving emotional challenges. Empathy…

cs.CL2024

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…

cs.CL2024★ 1 cited

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…

cs.CL2024

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…

cs.CL2024★ 1 cited

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…

cs.CL2024

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…

cs.CL2024★ 3 cited

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property

Shiwen Ni, Minghuan Tan, Yuelin Bai +9

Large language models (LLMs) have demonstrated impressive performance in various natural language processing (NLP) tasks. However, there is limited understanding of how well LLMs p…