activity
20222026
most citedFrom Persona to Personalization: A Survey on Role-Playing Language Agents

14 citations · 56 across the 33 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CL2023★ 7 cited

TaskBench: Benchmarking Large Language Models for Task Automation

Yongliang Shen, Kaitao Song, Xu Tan +6

In recent years, the remarkable progress of large language models (LLMs) has sparked interest in task automation, which involves decomposing complex tasks described by user instruc…

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

Causality-aware Concept Extraction based on Knowledge-guided Prompting

Siyu Yuan, Deqing Yang, Jinxi Liu +4

Concepts benefit natural language understanding but are far from complete in existing knowledge graphs (KGs). Recently, pre-trained language models (PLMs) have been widely used in…

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★ 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…