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Contrastive Decoding: Open-ended Text Generation as Optimization

Contrastive Decoding: Open-ended Text Generation as Optimization

27 October 2022
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
ArXivPDFHTML

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

50 / 262 papers shown
Title
CoGenesis: A Framework Collaborating Large and Small Language Models for
  Secure Context-Aware Instruction Following
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
Kaiyan Zhang
Jianyu Wang
Ermo Hua
Biqing Qi
Ning Ding
Bowen Zhou
SyDa
30
20
0
05 Mar 2024
Contrastive Region Guidance: Improving Grounding in Vision-Language
  Models without Training
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
David Wan
Jaemin Cho
Elias Stengel-Eskin
Mohit Bansal
VLM
ObjD
51
29
0
04 Mar 2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for
  Hallucination Mitigation
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
Shiqi Chen
Miao Xiong
Junteng Liu
Zhengxuan Wu
Teng Xiao
Siyang Gao
Junxian He
HILM
51
21
0
03 Mar 2024
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
Zhaorun Chen
Zhuokai Zhao
Hongyin Luo
Huaxiu Yao
Bo Li
Jiawei Zhou
MLLM
46
57
0
01 Mar 2024
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
66
31
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
39
41
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
178
34
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
16
6
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
HILM
KELM
29
39
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
193
43
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
27
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
21
6
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
24
2
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
15
16
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
21
7
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
37
22
0
19 Feb 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
144
99
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
30
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
Helen Meng
HILM
28
43
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
129
85
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
55
12
0
08 Feb 2024
Decoding-time Realignment of Language Models
Decoding-time Realignment of Language Models
Tianlin Liu
Shangmin Guo
Leonardo Bianco
Daniele Calandriello
Quentin Berthet
Felipe Llinares-López
Jessica Hoffmann
Lucas Dixon
Michal Valko
Mathieu Blondel
AI4CE
54
35
0
05 Feb 2024
Improving Dialog Safety using Socially Aware Contrastive Learning
Improving Dialog Safety using Socially Aware Contrastive Learning
Souvik Das
R. Srihari
11
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
Qi Zhang
Xuanjing Huang
Xun Zhao
Dahua Lin
11
11
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 Yang Wang
26
52
0
30 Jan 2024
ARGS: Alignment as Reward-Guided Search
ARGS: Alignment as Reward-Guided Search
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
26
44
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 Text
Abhimanyu Hans
Avi Schwarzschild
Valeriia Cherepanova
Hamid Kazemi
Aniruddha Saha
Micah Goldblum
Jonas Geiping
Tom Goldstein
DeLMO
26
81
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 Feedback
Songyang Gao
Qiming Ge
Wei Shen
Shihan Dou
Junjie Ye
...
Yicheng Zou
Zhi Chen
Hang Yan
Qi Zhang
Dahua Lin
47
10
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
36
44
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 Decoding
Heming Xia
Zhe Yang
Qingxiu Dong
Peiyi Wang
Yongqi Li
Tao Ge
Tianyu Liu
Wenjie Li
Zhifang Sui
LRM
22
97
0
15 Jan 2024
Parameter-Efficient Detoxification with Contrastive Decoding
Parameter-Efficient Detoxification with Contrastive Decoding
Tong Niu
Caiming Xiong
Semih Yavuz
Yingbo Zhou
12
12
0
13 Jan 2024
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual
  World Knowledge
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge
Wenbin Wang
Liang Ding
Li Shen
Yong Luo
Han Hu
Dacheng Tao
35
11
0
12 Jan 2024
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully
Jushi Kai
Hai Hu
Zhouhan Lin
HILM
20
7
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
55
56
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
16
14
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
34
49
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
35
7
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
11
10
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
41
2
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
31
86
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
13
1
0
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 Decoding
Sicong Leng
Hang Zhang
Guanzheng Chen
Xin Li
Shijian Lu
Chunyan Miao
Li Bing
VLM
MLLM
85
197
0
28 Nov 2023
IG Captioner: Information Gain Captioners are Strong Zero-shot
  Classifiers
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers
Chenglin Yang
Siyuan Qiao
Yuan Cao
Yu Zhang
Tao Zhu
Alan L. Yuille
Jiahui Yu
VLM
11
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
31
26
0
27 Nov 2023
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
21
47
0
16 Nov 2023
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
HILM
LRM
19
33
0
15 Nov 2023
Speculative Contrastive Decoding
Speculative Contrastive Decoding
Hongyi Yuan
Keming Lu
Fei Huang
Zheng Yuan
Chang Zhou
33
5
0
15 Nov 2023
Anti-LM Decoding for Zero-shot In-context Machine Translation
Anti-LM Decoding for Zero-shot In-context Machine Translation
Suzanna Sia
Alexandra DeLucia
Kevin Duh
24
2
0
14 Nov 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context
  Learning
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Yue Yu
Jiaming Shen
Tianqi Liu
Zhen Qin
Jing Nathan Yan
Jialu Liu
Chao Zhang
Michael Bendersky
44
6
0
13 Nov 2023
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRM
HILM
31
714
0
09 Nov 2023
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