activity
20192026
most citedLOREN: Logic-Regularized Reasoning for Interpretable Fact Verification

32 citations · 127 across the 34 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.CL2023★ 5 cited

InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews

Xintao Wang, Yunze Xiao, Jen-tse Huang +10

Role-playing agents (RPAs), powered by large language models, have emerged as a flourishing field of applications. However, a key challenge lies in assessing whether RPAs accuratel…

cs.CL2023★ 5 cited

Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena

Jiangjie Chen, Siyu Yuan, Rong Ye +2

Recent advancements in Large Language Models (LLMs) showcase advanced reasoning, yet NLP evaluations often depend on static benchmarks. Evaluating this necessitates environments th…

cs.CL2023★ 2 cited

Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models

Shuang Li, Jiangjie Chen, Siyu Yuan +4

To translate well, machine translation (MT) systems and general-purposed language models (LMs) need a deep understanding of both source and target languages and cultures. Therefore…

cs.CL2023★ 2 cited

Distilling Script Knowledge from Large Language Models for Constrained Language Planning

Siyu Yuan, Jiangjie Chen, Ziquan Fu +5

In everyday life, humans often plan their actions by following step-by-step instructions in the form of goal-oriented scripts. Previous work has exploited language models (LMs) to…

cs.CL2023

Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge

Jiangjie Chen, Wei Shi, Ziquan Fu +3

Large language models (LLMs) have been widely studied for their ability to store and utilize positive knowledge. However, negative knowledge, such as "lions don't live in the ocean…

cs.CL2023★ 8 cited

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts

Jian Xie, Kai Zhang, Jiangjie Chen +2

By providing external information to large language models (LLMs), tool augmentation (including retrieval augmentation) has emerged as a promising solution for addressing the limit…

cs.CL2023★ 1 cited

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

Siyu Yuan, Jiangjie Chen, Xuyang Ge +2

The vital role of analogical reasoning in human cognition allows us to grasp novel concepts by linking them with familiar ones through shared relational structures. Despite the att…

cs.CL2023★ 3 cited

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base

Siyu Yuan, Jiangjie Chen, Changzhi Sun +3

Analogical reasoning is a fundamental cognitive ability of humans. However, current language models (LMs) still struggle to achieve human-like performance in analogical reasoning t…