Good Idea or Not, Representation of LLM Could Tell

Good Idea or Not, Representation of LLM Could Tell

7 September 2024

Chenghu Zhou

Papers citing "Good Idea or Not, Representation of LLM Could Tell"

9 / 9 papers shown

Title
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation Tao Feng Yihang Sun Jiaxuan You 131 1 0 16 Mar 2025
LitLLM: A Toolkit for Scientific Literature Review Shubham Agarwal I. Laradji Laurent Charlin Christopher Pal Krishnamurthy DJ Dvijotham Jason Stanley Laurent Charlin Christopher Pal 77 32 0 02 Feb 2024
Can large language models provide useful feedback on research papers? A large-scale empirical analysis Weixin Liang Yuhui Zhang Hancheng Cao Binglu Wang Daisy Ding ... Siyu He D. Smith Yian Yin Daniel A. McFarland James Y. Zou ALM LM&MA 72 140 0 03 Oct 2023
Baichuan 2: Open Large-scale Language Models Ai Ming Yang Bin Xiao Bingning Wang Borong Zhang Ce Bian ... Youxin Jiang Yuchen Gao Yupeng Zhang Guosheng Dong Zhiying Wu ELM LRM 155 743 0 19 Sep 2023
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence Yi Xu Shuqian Sheng Bo Xue Luoyi Fu Xinbing Wang Cheng Zhou 46 8 0 04 Jun 2023
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 383 10,301 0 17 Jun 2021
Transformer Feed-Forward Layers Are Key-Value Memories Mor Geva R. Schuster Jonathan Berant Omer Levy KELM 134 827 0 29 Dec 2020
SciBERT: A Pretrained Language Model for Scientific Text Iz Beltagy Kyle Lo Arman Cohan 124 2,968 0 26 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,729 0 11 Oct 2018