Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees

25 March 2025

Papers citing "Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees"

7 / 7 papers shown

Title
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery Tianshi Zheng Zheye Deng Hong Ting Tsang Weiqi Wang Jiaxin Bai Zihao Wang Yangqiu Song LLMAG LM&Ro 83 2 0 19 May 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 380 1,970 0 22 Jan 2025
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models Guangzhi Xiong Eric Xie Amir Hassan Shariatmadari Sikun Guo Stefan Bekiranov Aidong Zhang LRM HILM 73 12 0 04 Nov 2024
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation Biqing Qi Kaiyan Zhang Kai Tian Haoxiang Li Zhang-Ren Chen Sihang Zeng Ermo Hua Hu Jinfang Bowen Zhou LM&MA 101 18 0 12 Jul 2024
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 14,699 0 15 Mar 2023
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 868 42,379 0 28 May 2020
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 352 5,860 0 21 Apr 2019