4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models
Kangyun Ning, Yisong Su, Xueqiang Lv +4
Although Large Language Models (LLMs) excel in NLP tasks, they still need external tools to extend their ability. Current research on tool learning with LLMs often assumes mandator…
cs.CL2024★ 1 cited
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
Zhou Yang, Zhaochun Ren, Yufeng Wang +7
Empathetic response generation aims to generate empathetic responses by understanding the speaker's emotional feelings from the language of dialogue. Recent methods capture emotion…
cs.CL2023★ 4 cited
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models
Yifan Wei, Yisong Su, Huanhuan Ma +5
Large language models (LLMs) have shown nearly saturated performance on many natural language processing (NLP) tasks. As a result, it is natural for people to believe that LLMs hav…