Title
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 75 0 0 18 Dec 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 22 4 0 17 Oct 2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models Junyi Zhu Shuochen Liu Yu Yu Bo Tang Yibo Yan Zhiyu Li Feiyu Xiong Tong Xu Matthew B. Blaschko 26 1 0 23 Jun 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? Z. Yang Y. Zhang Tianyu Liu Jian Yang Junyang Lin Chang Zhou Zhifang Sui ALM LRM ELM HILM 37 1 0 18 Jun 2024
UBENCH: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions Xunzhi Wang Zhuowei Zhang Qiongyu Li Gaonan Chen Mengting Hu Zhiyu li Bitong Luo Hang Gao Zhixin Han Haotian Wang ELM 27 1 0 18 Jun 2024
To Believe or Not to Believe Your LLM Yasin Abbasi-Yadkori Ilja Kuzborskij András György Csaba Szepesvári UQCV 47 14 0 04 Jun 2024
Diver: Large Language Model Decoding with Span-Level Mutual Information Verification Jinliang Lu Chen Wang Jiajun Zhang 32 2 0 04 Jun 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs Ryo Kamoi Yusen Zhang Nan Zhang Jiawei Han Rui Zhang LRM 32 19 0 03 Jun 2024
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding Zheng Zhao Emilio Monti Jens Lehmann H. Assem 34 5 0 04 May 2024
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey Philipp Mondorf Barbara Plank ELM LRM LM&MA 22 20 0 02 Apr 2024
Chain-of-Thought Reasoning Without Prompting Xuezhi Wang Denny Zhou ReLM LRM 125 97 0 15 Feb 2024
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency Ella Rabinovich Samuel Ackerman Orna Raz E. Farchi Ateret Anaby-Tavor 198 17 0 02 Nov 2023
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems Kaya Stechly Matthew Marquez Subbarao Kambhampati LRM 144 84 0 19 Oct 2023
The Consensus Game: Language Model Generation via Equilibrium Search Athul Paul Jacob Yikang Shen Gabriele Farina Jacob Andreas 28 19 0 13 Oct 2023
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness Jiuhai Chen Jonas W. Mueller 34 24 0 30 Aug 2023
Aligning Large Language Models through Synthetic Feedback Sungdong Kim Sanghwan Bae Jamin Shin Soyoung Kang Donghyun Kwak Kang Min Yoo Minjoon Seo ALM SyDa 59 46 0 23 May 2023
How Language Model Hallucinations Can Snowball Muru Zhang Ofir Press William Merrill Alisa Liu Noah A. Smith HILM LRM 75 171 0 22 May 2023
Self-Evaluation Guided Beam Search for Reasoning Yuxi Xie Kenji Kawaguchi Yiran Zhao Xu Zhao MingSung Kan Junxian He Qizhe Xie LRM 147 58 0 01 May 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models Potsawee Manakul Adian Liusie Mark J. F. Gales HILM LRM 145 386 0 15 Mar 2023
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence Y. Ma Doris Y. Tsao H. Shum 32 67 0 11 Jul 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations Jaehun Jung Lianhui Qin Sean Welleck Faeze Brahman Chandra Bhagavatula Ronan Le Bras Yejin Choi ReLM LRM 201 157 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 277 3,163 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 8,441 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 313 8,261 0 28 Jan 2022
$Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information$ Understanding Dataset Difficulty with $\mathcal{V}$ -Usable Information Kawin Ethayarajh Yejin Choi Swabha Swayamdipta 151 227 0 16 Oct 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 246 273 0 01 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 217 3,054 0 23 Jan 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 8,157 0 06 Jun 2015