Title
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction Vaishnavh Nagarajan Chen Henry Wu Charles Ding Aditi Raghunathan 26 0 0 21 Apr 2025
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Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs Kuan Lok Zhou Jiayi Chen Siddharth Suresh Reuben Narad Timothy Rogers Lalit K Jain R. Nowak Bob Mankoff Jifan Zhang 52 0 0 27 Feb 2025
BIG-Bench Extra Hard Mehran Kazemi Bahare Fatemi Hritik Bansal John Palowitch Chrysovalantis Anastasiou ... Kate Olszewska Yi Tay Vinh Q. Tran Quoc V. Le Orhan Firat ELM LRM 115 4 0 26 Feb 2025
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences Corby Rosset Ching-An Cheng Arindam Mitra Michael Santacroce Ahmed Hassan Awadallah Tengyang Xie 144 113 0 04 Apr 2024
KTO: Model Alignment as Prospect Theoretic Optimization Kawin Ethayarajh Winnie Xu Niklas Muennighoff Dan Jurafsky Douwe Kiela 153 437 0 02 Feb 2024
Self-Rewarding Language Models Weizhe Yuan Richard Yuanzhe Pang Kyunghyun Cho Xian Li Sainbayar Sukhbaatar Jing Xu Jason Weston ReLM SyDa ALM LRM 215 291 0 18 Jan 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity Robert Kirk Ishita Mediratta Christoforos Nalmpantis Jelena Luketina Eric Hambro Edward Grefenstette Roberta Raileanu AI4CE ALM 95 121 0 10 Oct 2023
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 11,730 0 04 Mar 2022
$Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information$ Understanding Dataset Difficulty with $\mathcal{V}$ -Usable Information Kawin Ethayarajh Yejin Choi Swabha Swayamdipta 154 157 0 16 Oct 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019