Calibrating Sequence likelihood Improves Conditional Language Generation

30 September 2022

Yao-Min Zhao

Misha Khalman

Rishabh Joshi

Mohammad Saleh

Papers citing "Calibrating Sequence likelihood Improves Conditional Language Generation"

26 / 26 papers shown

Title
Calibrating Translation Decoding with Quality Estimation on LLMs Di Wu Yibin Lei Christof Monz 70 0 0 26 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 85 0 0 25 Apr 2025
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning Kai Ye Hongyi Zhou Jin Zhu Francesco Quinzan C. Shi 20 0 0 03 Apr 2025
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment Sizhe Wang Yongqi Tong Hengyuan Zhang Dawei Li Xin Zhang Tianlong Chen 85 5 0 21 Feb 2025
Design Considerations in Offline Preference-based RL Alekh Agarwal Christoph Dann T. V. Marinov OffRL 45 0 0 08 Feb 2025
Time-Reversal Provides Unsupervised Feedback to LLMs Yerram Varun Rahul Madhavan Sravanti Addepalli A. Suggala Karthikeyan Shanmugam Prateek Jain LRM SyDa 64 0 0 03 Dec 2024
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization Noam Razin Sadhika Malladi Adithya Bhaskar Danqi Chen Sanjeev Arora Boris Hanin 89 12 0 11 Oct 2024
Factual Dialogue Summarization via Learning from Large Language Models Rongxin Zhu Jey Han Lau Jianzhong Qi HILM 41 1 0 20 Jun 2024
Language Model Cascades: Token-level uncertainty and beyond Neha Gupta Harikrishna Narasimhan Wittawat Jitkrittum A. S. Rawat A. Menon Sanjiv Kumar UQLM 41 41 0 15 Apr 2024
Learn Your Reference Model for Real Good Alignment Alexey Gorbatovski Boris Shaposhnikov Alexey Malakhov Nikita Surnachev Yaroslav Aksenov Ian Maksimov Nikita Balagansky Daniil Gavrilov OffRL 47 25 0 15 Apr 2024
Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model Qi Gou Cam-Tu Nguyen 27 8 0 28 Mar 2024
COPR: Continual Human Preference Learning via Optimal Policy Regularization Han Zhang Lin Gui Yu Lei Yuanzhao Zhai Yehong Zhang ... Hui Wang Yue Yu Kam-Fai Wong Bin Liang Ruifeng Xu CLL 29 4 0 22 Feb 2024
Theoretical guarantees on the best-of-n alignment policy Ahmad Beirami Alekh Agarwal Jonathan Berant Alex DÁmour Jacob Eisenstein Chirag Nagpal A. Suresh 42 42 0 03 Jan 2024
OmniVec: Learning robust representations with cross modal sharing Siddharth Srivastava Gaurav Sharma SSL 16 64 0 07 Nov 2023
Tuna: Instruction Tuning using Feedback from Large Language Models Haoran Li Yiran Liu Xingxing Zhang Wei Lu Furu Wei ALM 25 3 0 20 Oct 2023
Improving Large Language Model Fine-tuning for Solving Math Problems Yixin Liu Avi Singh C. D. Freeman John D. Co-Reyes Peter J. Liu LRM ReLM 35 45 0 16 Oct 2023
Calibrating Likelihoods towards Consistency in Summarization Models Polina Zablotskaia Misha Khalman Rishabh Joshi Livio Baldini Soares Shoshana Jakobovits Joshua Maynez Shashi Narayan 21 3 0 12 Oct 2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization Griffin Adams Bichlien H. Nguyen Jake A. Smith Yingce Xia Shufang Xie Anna Ostropolets Budhaditya Deb Yuan Chen Tristan Naumann Noémie Elhadad 17 8 0 12 May 2023
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 243 284 0 02 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 226 4,424 0 23 Jan 2020
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 275 1,561 0 18 Sep 2019
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 43 185 0 14 Nov 2017
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 208 1,202 0 12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 198 1,325 0 05 Jun 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,504 0 10 Jun 2015