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Contrastive Decoding: Open-ended Text Generation as Optimization
v1v2 (latest)

Contrastive Decoding: Open-ended Text Generation as Optimization

Annual Meeting of the Association for Computational Linguistics (ACL), 2022
27 October 2022
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Abigail Z. Jacobs
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
ArXiv (abs)PDFHTML

Papers citing "Contrastive Decoding: Open-ended Text Generation as Optimization"

50 / 357 papers shown
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores
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
417
61
0
01 Mar 2024
IBD: Alleviating Hallucinations in Large Vision-Language Models via
  Image-Biased Decoding
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding
Lanyun Zhu
Deyi Ji
Tianrun Chen
Peng Xu
Jieping Ye
Jun Liu
MLLM
260
89
0
28 Feb 2024
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and
  Mitigating Knowledge Conflicts in Language Models
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
Zhuoran Jin
Pengfei Cao
Hongbang Yuan
Yubo Chen
Jiexin Xu
Huaijun Li
Xiaojian Jiang
Kang Liu
Jun Zhao
682
73
0
28 Feb 2024
Collaborative decoding of critical tokens for boosting factuality of
  large language models
Collaborative decoding of critical tokens for boosting factuality of large language models
Lifeng Jin
Baolin Peng
Linfeng Song
Haitao Mi
Ye Tian
Dong Yu
HILM
154
8
0
28 Feb 2024
TruthX: Alleviating Hallucinations by Editing Large Language Models in
  Truthful Space
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
Shaolei Zhang
Tian Yu
Yang Feng
HILMKELM
306
80
0
27 Feb 2024
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge
  Conflicts in Retrieval-Augmented Language Models
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
Zhuoran Jin
Pengfei Cao
Yubo Chen
Kang Liu
Xiaojian Jiang
Jiexin Xu
Qiuxia Li
Jun Zhao
658
94
0
22 Feb 2024
Qsnail: A Questionnaire Dataset for Sequential Question Generation
Qsnail: A Questionnaire Dataset for Sequential Question Generation
Yan Lei
Liang Pang
Yuanzhuo Wang
Huawei Shen
Xueqi Cheng
194
0
0
22 Feb 2024
Distillation Contrastive Decoding: Improving LLMs Reasoning with
  Contrastive Decoding and Distillation
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
Phuc Phan
Hieu Tran
Long Phan
101
13
0
21 Feb 2024
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion
  Models
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Models
C. Wu
Fernando de la Torre
DiffM
224
3
0
21 Feb 2024
Emulated Disalignment: Safety Alignment for Large Language Models May
  Backfire!
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
Zhanhui Zhou
Jie Liu
Zhichen Dong
Jiaheng Liu
Chao Yang
Wanli Ouyang
Yu Qiao
272
34
0
19 Feb 2024
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding
  with Contextual Information-Entropy Constraint
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
Xiaowei Yuan
Zhao Yang
Yequan Wang
Shengping Liu
Jun Zhao
Kang Liu
149
26
0
19 Feb 2024
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large
  Language Models with Reverse Prompt Contrastive Decoding
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
LM&MA
270
30
0
19 Feb 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLMLRM
618
205
0
15 Feb 2024
ICDPO: Effectively Borrowing Alignment Capability of Others via
  In-context Direct Preference Optimization
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Feifan Song
Yuxuan Fan
Xin Zhang
Peiyi Wang
Houfeng Wang
171
8
0
14 Feb 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via
  Self-Evaluation
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
Xiaoying Zhang
Baolin Peng
Ye Tian
Jingyan Zhou
Lifeng Jin
Linfeng Song
Haitao Mi
Chao Yang
HILM
280
94
0
14 Feb 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware
  Decoding
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Bill Yuchen Lin
Radha Poovendran
AAML
520
199
0
14 Feb 2024
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Xuandong Zhao
Lei Li
Yu-Xiang Wang
374
12
0
08 Feb 2024
Decoding-time Realignment of Language Models
Decoding-time Realignment of Language ModelsInternational Conference on Machine Learning (ICML), 2024
Tianlin Liu
Shangmin Guo
Leonardo Bianco
Daniele Calandriello
Quentin Berthet
Felipe Llinares-López
Jessica Hoffmann
Lucas Dixon
Michal Valko
Mathieu Blondel
AI4CE
272
57
0
05 Feb 2024
Improving Dialog Safety using Socially Aware Contrastive Learning
Improving Dialog Safety using Socially Aware Contrastive Learning
Souvik Das
Rohini Srihari
219
1
0
01 Feb 2024
Navigating the OverKill in Large Language Models
Navigating the OverKill in Large Language Models
Chenyu Shi
Xiao Wang
Qiming Ge
Songyang Gao
Xianjun Yang
Tao Gui
Tao Gui
Xuanjing Huang
Xun Zhao
Dahua Lin
215
26
0
31 Jan 2024
Weak-to-Strong Jailbreaking on Large Language Models
Weak-to-Strong Jailbreaking on Large Language Models
Xuandong Zhao
Xianjun Yang
Tianyu Pang
Chao Du
Lei Li
Yu-Xiang Wang
William Y. Wang
924
89
0
30 Jan 2024
ARGS: Alignment as Reward-Guided Search
ARGS: Alignment as Reward-Guided SearchInternational Conference on Learning Representations (ICLR), 2024
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
435
94
0
23 Jan 2024
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated
  Text
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextInternational Conference on Machine Learning (ICML), 2024
Abhimanyu Hans
Avi Schwarzschild
Valeriia Cherepanova
Hamid Kazemi
Aniruddha Saha
Micah Goldblum
Jonas Geiping
Tom Goldstein
DeLMO
294
210
0
22 Jan 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences
  without Tuning and Feedback
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and FeedbackInternational Conference on Machine Learning (ICML), 2024
Songyang Gao
Qiming Ge
Wei Shen
Jiajun Sun
Junjie Ye
...
Yicheng Zou
Zhi Chen
Hang Yan
Tao Gui
Dahua Lin
237
20
0
21 Jan 2024
Tuning Language Models by Proxy
Tuning Language Models by Proxy
Alisa Liu
Xiaochuang Han
Yizhong Wang
Yulia Tsvetkov
Yejin Choi
Noah A. Smith
ALM
320
67
0
16 Jan 2024
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
T. Klein
Moin Nabi
352
2
0
16 Jan 2024
Unlocking Efficiency in Large Language Model Inference: A Comprehensive
  Survey of Speculative Decoding
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Heming Xia
Zhe Yang
Qingxiu Dong
Peiyi Wang
Chak Tou Leong
Tao Ge
Tianyu Liu
Wenjie Li
Zhifang Sui
LRM
459
204
0
15 Jan 2024
Parameter-Efficient Detoxification with Contrastive Decoding
Parameter-Efficient Detoxification with Contrastive Decoding
Tong Niu
Caiming Xiong
Semih Yavuz
Yingbo Zhou
161
16
0
13 Jan 2024
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual
  World Knowledge
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World KnowledgeACM Multimedia (MM), 2024
Wenbin Wang
Liang Ding
Li Shen
Yong Luo
Han Hu
Dacheng Tao
227
32
0
12 Jan 2024
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully
SH2: Self-Highlighted Hesitation Helps You Decode More TruthfullyConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Jushi Kai
Hai Hu
Zhouhan Lin
HILM
298
15
0
11 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language
  Model Systems
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui
Yanling Wang
Chuanpu Fu
Yong Xiao
Sijia Li
...
Junwu Xiong
Xinyu Kong
ZuJie Wen
Ke Xu
Qi Li
316
99
0
11 Jan 2024
Supervised Knowledge Makes Large Language Models Better In-context
  Learners
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang
Shuibai Zhang
Zhuohao Yu
Guangsheng Bao
Yidong Wang
...
Ruochen Xu
Weirong Ye
Xing Xie
Weizhu Chen
Yue Zhang
389
25
0
26 Dec 2023
Alleviating Hallucinations of Large Language Models through Induced
  Hallucinations
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
Yue Zhang
Leyang Cui
Wei Bi
Shuming Shi
HILM
308
74
0
25 Dec 2023
Reducing LLM Hallucinations using Epistemic Neural Networks
Reducing LLM Hallucinations using Epistemic Neural Networks
Shreyas Verma
Kien Tran
Yusuf Ali
Guangyu Min
227
11
0
25 Dec 2023
Context-aware Decoding Reduces Hallucination in Query-focused Summarization
Context-aware Decoding Reduces Hallucination in Query-focused Summarization
Zhichao Xu
HILM
260
13
0
21 Dec 2023
SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise
SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise
A. Yadav
Arjun Singh
272
3
0
03 Dec 2023
Applying Large Language Models and Chain-of-Thought for Automatic
  Scoring
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
Gyeong-Geon Lee
Ehsan Latif
Xuansheng Wu
Ninghao Liu
Xiaoming Zhai
215
154
0
30 Nov 2023
I Know You Did Not Write That! A Sampling Based Watermarking Method for
  Identifying Machine Generated Text
I Know You Did Not Write That! A Sampling Based Watermarking Method for Identifying Machine Generated Text
Kaan Efe Keles
Ömer Kaan Gürbüz
Mucahid Kutlu
WaLM
237
4
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29 Nov 2023
Mitigating Object Hallucinations in Large Vision-Language Models through
  Visual Contrastive Decoding
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingComputer Vision and Pattern Recognition (CVPR), 2023
Sicong Leng
Hang Zhang
Guanzheng Chen
Xin Li
Shijian Lu
Chunyan Miao
Li Bing
VLMMLLM
311
442
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28 Nov 2023
IG Captioner: Information Gain Captioners are Strong Zero-shot
  Classifiers
IG Captioner: Information Gain Captioners are Strong Zero-shot ClassifiersEuropean Conference on Computer Vision (ECCV), 2023
Chenglin Yang
Siyuan Qiao
Yuan Cao
Yu Zhang
Tao Zhu
Yaoyao Liu
Jiahui Yu
VLM
163
3
0
27 Nov 2023
Deficiency of Large Language Models in Finance: An Empirical Examination
  of Hallucination
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination
Haoqiang Kang
Xiao-Yang Liu
RALM
195
52
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The Curious Decline of Linguistic Diversity: Training Language Models on
  Synthetic Text
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
Yanzhu Guo
Guokan Shang
Michalis Vazirgiannis
Chloé Clavel
419
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Ever: Mitigating Hallucination in Large Language Models through
  Real-Time Verification and Rectification
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
Haoqiang Kang
Juntong Ni
Huaxiu Yao
HILMLRM
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Speculative Contrastive Decoding
Speculative Contrastive DecodingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Hongyi Yuan
Keming Lu
Fei Huang
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165
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Anti-LM Decoding for Zero-shot In-context Machine Translation
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Explanation-aware Soft Ensemble Empowers Large Language Model In-context
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A Survey on Hallucination in Large Language Models: Principles,
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Instructive Decoding: Instruction-Tuned Large Language Models are
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Evaluating Large Language Models on Controlled Generation Tasks
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An Emulator for Fine-Tuning Large Language Models using Small Language
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