Look-back Decoding for Open-Ended Text Generation
Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma
摘要
Given a prefix (context), open-ended generation aims to decode texts that are coherent, which do not abruptly drift from previous topics, and informative, which do not suffer from undesired repetitions. In this paper, we propose Look-back , an improved decoding algorithm that leverages the Kullback-Leibler divergence to track the distribution distance between current and historical decoding steps. Thus Lookback can automatically predict potential repetitive phrase and topic drift, and remove tokens that may cause the failure modes, restricting the next token probability distribution within a plausible distance to the history. We perform decoding experiments on document continuation and story generation, and demonstrate that Look-back is able to generate more fluent and coherent text, outperforming other strong decoding methods significantly in both automatic and human evaluations 1 . Degeneration LM (Decoding) Continuation Prefix: In addition to live broadcasts FIFA Fan Fests offer food and beverages, merchandise and various entertainment events by local and international artists. The start of 2006 World Cup was Repetitive Continuation S1: (GPT2-XL greedy) marked by the FIFA Fan Fest in Sao Paulo, Brazil.The FIFA Fan Fest is a unique event that brings together fans from all over the world to celebrate the FIFA World Cup . The FIFA Fan Fest is a unique event that brings together fans from... S2: (davinci-002 greedy) celebrated with a concert by Bon Jovi in Berlin.The FIFA Fan Fest in Munich was located at the Olympic Park.The FIFA Fan Fest in Frankfurt was located at the Römerberg.The FIFA Fan Fest in Hamburg was located at the ... Prefix: Burkan died from an attack of acute indigestion at his country home in Great Neck on June 6, 1936. Three thousand people attended his funeral at Off-Topic Continuation S3: (ada-001 greedy) the local church.The authorities are investigating how Khedira managed to enter the house and what role he played in the attack.
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引用它的顶会 Paper2
- Improving Open-Ended Text Generation via Adaptive DecodingWenhong Zhu, Hongkun Hao, Zhiwei He, Yiming Ai 等ICML 2024 · 被引用 21 次
- Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMsSreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi 等ICLR 2025
它引用的顶会 Paper10
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah 等NeurIPS 2020 · 被引用 64,255 次
- The Curious Case of Neural Text DegenerationAri Holtzman, Jan Buys, Li Du, Maxwell Forbes 等ICLR 2020 · 被引用 4,112 次
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- Neural Text Generation With Unlikelihood TrainingSean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan 等ICLR 2020 · 被引用 683 次
- MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersKrishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun 等NeurIPS 2021 · 被引用 606 次
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