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20192026
most citedAn Evaluation on Large Language Model Outputs: Discourse and Memorization

33 citations · 88 across the 25 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CL2024★ 2 cited

If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World

Adrian de Wynter

Warning: this paper discusses content related, but not limited to, violence, sex, and suicide. Loneliness, or the lack of fulfilling relationships, significantly impacts a person's…

cs.CL2024★ 2 cited

Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks

Fangru Lin, Shaoguang Mao, Emanuele La Malfa +7

Language is not monolithic. While benchmarks, including those designed for multiple languages, are often used as proxies to evaluate the performance of Large Language Models (LLMs)…

cs.CL2024

Awes, Laws, and Flaws From Today's LLM Research

Adrian de Wynter

We perform a critical examination of the scientific methodology behind contemporary large language model (LLM) research. For this we assess over 2,000 research works released betwe…

cs.CL2024★ 3 cited

RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?

Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri +30

Large language models (LLMs) and small language models (SLMs) are being adopted at remarkable speed, although their safety still remains a serious concern. With the advent of multi…

cs.CL2024★ 6 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★ 2 cited

Will GPT-4 Run DOOM?

Adrian de Wynter

We show that GPT-4's reasoning and planning capabilities extend to the 1993 first-person shooter Doom. This large language model (LLM) is able to run and play the game with only a…