On Decoding Strategies for Neural Text Generators

29 March 2022

Papers citing "On Decoding Strategies for Neural Text Generators"

11 / 11 papers shown

Title
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models Alexey Karev Dong Xu 50 0 0 18 Mar 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 92 14 0 28 Jan 2025
Preference Optimization with Multi-Sample Comparisons Chaoqi Wang Zhuokai Zhao Chen Zhu Karthik Abinav Sankararaman Michal Valko ... Zhaorun Chen Madian Khabsa Yuxin Chen Hao Ma Sinong Wang 62 10 0 16 Oct 2024
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation Xiaonan Jing Srinivas Billa Danny Godbout HILM 40 0 0 16 Oct 2024
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies Sijin Chen Omar Hagrass Jason M. Klusowski 24 2 0 04 Oct 2024
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores Chantal Shaib Joe Barrow Jiuding Sun Alexa F. Siu Byron C. Wallace A. Nenkova 66 31 0 01 Mar 2024
Partially Randomizing Transformer Weights for Dialogue Response Diversity Jing Yang Lee Kong Aik Lee Woon-Seng Gan 12 0 0 18 Nov 2023
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints Chaoqi Wang Yibo Jiang Yuguang Yang Han Liu Yuxin Chen 24 81 0 28 Sep 2023
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators Matteo Gabburo Siddhant Garg Rik Koncel-Kedziorski Alessandro Moschitti 21 6 0 24 May 2023
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition Darcey Riley David Chiang 19 5 0 19 Oct 2022
On the probability-quality paradox in language generation Clara Meister Gian Wiher Tiago Pimentel Ryan Cotterell 28 14 0 31 Mar 2022