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20232026
most citedLLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

6 citations · 7 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction

Dingyao Yu, Yang An, Wei Ye +4

Chinese Spelling Correction (CSC) commonly lacks large-scale high-quality corpora, due to the labor-intensive labeling of spelling errors in real-life human writing or typing scena…

cs.CL20241 cited

Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning

Yadong Zhang, Shaoguang Mao, Wenshan Wu +4

This paper introduces BI-Directional DEliberation Reasoning (BIDDER), a novel reasoning approach to enhance the decision rationality of language models. Traditional reasoning metho…

cs.CL20246 cited

LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

Yadong Zhang, Shaoguang Mao, Tao Ge +7

This paper presents a comprehensive survey of the current status and opportunities for Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning that n…

cs.CL2024

K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning

Yadong Zhang, Shaoguang Mao, Tao Ge +4

Strategic reasoning is a complex yet essential capability for intelligent agents. It requires Large Language Model (LLM) agents to adapt their strategies dynamically in multi-agent…

cs.CL2023

Low-code LLM: Graphical User Interface over Large Language Models

Yuzhe Cai, Shaoguang Mao, Wenshan Wu +10

Utilizing Large Language Models (LLMs) for complex tasks is challenging, often involving a time-consuming and uncontrollable prompt engineering process. This paper introduces a nov…