This academic article introduces a new tourism planning system for the Dialogue Robot Competition 2023. The system uses large language models (LLMs) to manage conversational abilities and planning capabilities, aiming…
Continue readingThe study focuses on the development of Critique LLM, a new critique generation model. It addresses the need for comprehensive evaluation of Large Language Models (LLMs) like GPT-4 which are…
Continue readingThe study explores the resilience of Large Language Models (LLMs), particularly GPT-4, to extensive character-level permutations. The researchers propose the Scrambled Bench, a suite designed to measure the capacity of…
Continue readingThe study presents a new model, CRITIQUE LLM, designed to evaluate the effectiveness of large language models (LLMs) such as GPT-4. Traditional evaluation metrics have shown limited effectiveness, and thus…
Continue readingThis research paper focuses on the resilience of Large Language Models (LLMs), particularly GPT-4, when subjected to scrambled text. The authors introduce the ‘Scrambled Bench’ to test the LLMs’ ability…
Continue readingThe paper examines the capacity of AI, specifically GPT-4, to independently generate and verify hypotheses for a machine learning research problem. The authors minimized instructions on hypothesis generation, verification, and…
Continue readingThe research by Zhan et al. explores the vulnerability of large language models (LLMs), particularly GPT-4, due to fine-tuning. The researchers demonstrate that fine-tuning can be used to remove RLHF…
Continue readingThe paper investigates the application of Large Language Models (LLMs) in mobile user interface (UI) layout generation. It introduces the concept of UI grammar, a novel approach to represent the…
Continue readingThis research examines the use of large language models (LLMs), specifically GPT-4, for autonomous fact-checking as an answer to the rise of online misinformation. The study evaluates the effectiveness of…
Continue readingThe authors of this paper delve into the reasoning capabilities of Large Language Models (LLMs), particularly GPT-4. Initially, there was optimism that reasoning might automatically emerge with scale, but this…
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