activity
20192026
most citedFrom Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery

3 citations · 10 across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Persona Knowledge-Aligned Prompt Tuning Method for Online Debate

Chunkit Chan, Cheng Jiayang, Xin Liu +7

Debate is the process of exchanging viewpoints or convincing others on a particular issue. Recent research has provided empirical evidence that the persuasiveness of an argument is…

cs.CL2024★ 1 cited

Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information

Yauwai Yim, Chunkit Chan, Tianyu Shi +4

Large language models (LLMs) have shown success in handling simple games with imperfect information and enabling multi-agent coordination, but their ability to facilitate practical…

cs.CL2024★ 2 cited

GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

Wei Fan, Haoran Li, Zheye Deng +2

Privacy issues arise prominently during the inappropriate transmission of information between entities. Existing research primarily studies privacy by exploring various privacy att…

cs.CL2024

Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction

Zheye Deng, Chunkit Chan, Weiqi Wang +5

The task of condensing large chunks of textual information into concise and structured tables has gained attention recently due to the emergence of Large Language Models (LLMs) and…

cs.CL2024★ 1 cited

NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding

Chunkit Chan, Cheng Jiayang, Yauwai Yim +7

Large Language Models (LLMs) have sparked substantial interest and debate concerning their potential emergence of Theory of Mind (ToM) ability. Theory of mind evaluations currently…