Examining the Potential and Pitfalls of ChatGPT in Science and
Engineering Problem-Solving

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Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving

12 October 2023

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Papers citing "Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving"

8 / 8 papers shown

Title
Hypothesis Search: Inductive Reasoning with Language Models Ruocheng Wang E. Zelikman Gabriel Poesia Yewen Pu Nick Haber Noah D. Goodman ReLM LRM 108 112 0 11 Sep 2023
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations Yudong Xu Wenhao Li Pashootan Vaezipoor Scott Sanner Elias Boutros Khalil LRM 62 66 0 26 May 2023
How Language Model Hallucinations Can Snowball Muru Zhang Ofir Press William Merrill Alisa Liu Noah A. Smith HILM LRM 141 281 0 22 May 2023
Why Does ChatGPT Fall Short in Providing Truthful Answers? Shen Zheng Jie Huang Kevin Chen-Chuan Chang HILM AI4MH 99 55 0 20 Apr 2023
Capabilities of GPT-4 on Medical Challenge Problems Harsha Nori Nicholas King S. McKinney Dean Carignan Eric Horvitz LM&MA ELM AI4MH 145 811 0 20 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.5K 14,761 0 15 Mar 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 535 4,077 0 24 May 2022
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 239 4,004 0 28 Jul 2021

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