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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
Decoding with Limited Teacher Supervision Requires Understanding When to
  Trust the Teacher
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher
Hyunjong Ok
Jegwang Ryu
Jaeho Lee
37
0
0
26 Jun 2024
Multi-property Steering of Large Language Models with Dynamic Activation
  Composition
Multi-property Steering of Large Language Models with Dynamic Activation Composition
Daniel Scalena
Gabriele Sarti
Malvina Nissim
KELM
LLMSV
AI4CE
19
13
0
25 Jun 2024
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
Zexuan Qiu
Zijing Ou
Bin Wu
Jingjing Li
Aiwei Liu
Irwin King
KELM
RALM
33
5
0
25 Jun 2024
From Decoding to Meta-Generation: Inference-time Algorithms for Large
  Language Models
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck
Amanda Bertsch
Matthew Finlayson
Hailey Schoelkopf
Alex Xie
Graham Neubig
Ilia Kulikov
Zaid Harchaoui
33
47
0
24 Jun 2024
Adversarial Contrastive Decoding: Boosting Safety Alignment of Large
  Language Models via Opposite Prompt Optimization
Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization
Zhengyue Zhao
Xiaoyun Zhang
Kaidi Xu
Xing Hu
Rui Zhang
Zidong Du
Qi Guo
Yunji Chen
22
5
0
24 Jun 2024
On the Transformations across Reward Model, Parameter Update, and
  In-Context Prompt
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
26
2
0
24 Jun 2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large
  Language Models
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
Junyi Zhu
Shuochen Liu
Yu Yu
Bo Tang
Yibo Yan
Zhiyu Li
Feiyu Xiong
Tong Xu
Matthew B. Blaschko
42
3
0
23 Jun 2024
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Terry Yue Zhuo
Minh Chien Vu
Jenny Chim
Han Hu
Wenhao Yu
...
David Lo
Daniel Fried
Xiaoning Du
H. D. Vries
Leandro von Werra
65
128
0
22 Jun 2024
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
Baolong Bi
Shenghua Liu
Yiwei Wang
Lingrui Mei
Hongcheng Gao
Yilong Xu
Xueqi Cheng
KELM
38
11
0
18 Jun 2024
Fast and Slow Generating: An Empirical Study on Large and Small Language
  Models Collaborative Decoding
Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding
Kaiyan Zhang
Jianyu Wang
Ning Ding
Biqing Qi
Ermo Hua
Xingtai Lv
Bowen Zhou
39
8
0
18 Jun 2024
Mitigating Large Language Model Hallucination with Faithful Finetuning
Mitigating Large Language Model Hallucination with Faithful Finetuning
Minda Hu
Bowei He
Yufei Wang
Liangyou Li
Chen-li Ma
Irwin King
HILM
33
6
0
17 Jun 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
Chenghao Fan
Zhenyi Lu
Wei Wei
Jie Tian
Xiaoye Qu
Dangyang Chen
Yu Cheng
MoMe
44
5
0
17 Jun 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning
  Framework from Logit Difference
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Jiabao Ji
Yujian Liu
Yang Zhang
Gaowen Liu
Ramana Rao Kompella
Sijia Liu
Shiyu Chang
KELM
MU
29
21
0
12 Jun 2024
REAL Sampling: Boosting Factuality and Diversity of Open-Ended
  Generation via Asymptotic Entropy
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy
Haw-Shiuan Chang
Nanyun Peng
Mohit Bansal
Anil Ramakrishna
Tagyoung Chung
HILM
33
2
0
11 Jun 2024
Semantically Diverse Language Generation for Uncertainty Estimation in
  Language Models
Semantically Diverse Language Generation for Uncertainty Estimation in Language Models
L. Aichberger
Kajetan Schweighofer
Mykyta Ielanskyi
Sepp Hochreiter
HILM
23
10
0
06 Jun 2024
Outdated Issue Aware Decoding for Reasoning Questions on Edited
  Knowledge
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge
Zengkui Sun
Yijin Liu
Jiaan Wang
Fandong Meng
Jinan Xu
Yufeng Chen
Jie Zhou
KELM
33
0
0
05 Jun 2024
Guiding a Diffusion Model with a Bad Version of Itself
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras
M. Aittala
Tuomas Kynkaanniemi
J. Lehtinen
Timo Aila
S. Laine
28
57
0
04 Jun 2024
Diver: Large Language Model Decoding with Span-Level Mutual Information
  Verification
Diver: Large Language Model Decoding with Span-Level Mutual Information Verification
Jinliang Lu
Chen Wang
Jiajun Zhang
48
3
0
04 Jun 2024
CODE: Contrasting Self-generated Description to Combat Hallucination in
  Large Multi-modal Models
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Junho Kim
Hyunjun Kim
Yeonju Kim
Yong Man Ro
MLLM
34
10
0
04 Jun 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song
Chao Yang
Chaojie Wang
Bo An
Shuang Li
40
4
0
03 Jun 2024
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism
  for Language Models
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models
Kaixin Lan
Tao Fang
Derek F. Wong
Yabo Xu
Lidia S. Chao
Cecilia G. Zhao
53
4
0
02 Jun 2024
Expert-Guided Extinction of Toxic Tokens for Debiased Generation
Expert-Guided Extinction of Toxic Tokens for Debiased Generation
Xueyao Sun
Kaize Shi
Haoran Tang
Guandong Xu
Qing Li
MU
38
1
0
29 May 2024
Seeing the Image: Prioritizing Visual Correlation by Contrastive
  Alignment
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
Xin Xiao
Bohong Wu
Jiacong Wang
Chunyuan Li
Xun Zhou
Haoyuan Guo
VLM
34
7
0
28 May 2024
RITUAL: Random Image Transformations as a Universal Anti-hallucination
  Lever in LVLMs
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in LVLMs
Sangmin Woo
Jaehyuk Jang
Donguk Kim
Yubin Choi
Changick Kim
34
0
0
28 May 2024
SED: Self-Evaluation Decoding Enhances Large Language Models for Better
  Generation
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation
Ziqin Luo
Haixia Han
Haokun Zhao
Guochao Jiang
Chengyu Du
Tingyun Li
Jiaqing Liang
Deqing Yang
Yanghua Xiao
46
3
0
26 May 2024
Text Generation: A Systematic Literature Review of Tasks, Evaluation,
  and Challenges
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
Jonas Becker
Jan Philip Wahle
Bela Gipp
Terry Ruas
23
9
0
24 May 2024
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Beitao Chen
Xinyu Lyu
Lianli Gao
Jingkuan Song
Hengtao Shen
MLLM
54
10
0
24 May 2024
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by
  Self-Contrast
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
Chufan Shi
Cheng Yang
Xinyu Zhu
Jiahao Wang
Taiqiang Wu
Siheng Li
Deng Cai
Yujiu Yang
Yu Meng
MoE
45
9
0
23 May 2024
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training
  Small Data Synthesis Models
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Kun Zhou
Beichen Zhang
Jiapeng Wang
Zhipeng Chen
Wayne Xin Zhao
Jing Sha
Zhichao Sheng
Shijin Wang
Ji-Rong Wen
SyDa
LRM
33
29
0
23 May 2024
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited
  Facts
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
Baolong Bi
Shenghua Liu
Lingrui Mei
Yiwei Wang
Pengliang Ji
Xueqi Cheng
KELM
38
27
0
19 May 2024
Spectral Editing of Activations for Large Language Model Alignment
Spectral Editing of Activations for Large Language Model Alignment
Yifu Qiu
Zheng Zhao
Yftah Ziser
Anna Korhonen
E. Ponti
Shay B. Cohen
KELM
LLMSV
23
15
0
15 May 2024
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text
  Detectors
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Liam Dugan
Alyssa Hwang
Filip Trhlik
Josh Magnus Ludan
Andrew Zhu
Hainiu Xu
Daphne Ippolito
Christopher Callison-Burch
DeLMO
AAML
33
40
0
13 May 2024
Enhancing Contextual Understanding in Large Language Models through
  Contrastive Decoding
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
Zheng Zhao
Emilio Monti
Jens Lehmann
H. Assem
42
22
0
04 May 2024
Hallucination of Multimodal Large Language Models: A Survey
Hallucination of Multimodal Large Language Models: A Survey
Zechen Bai
Pichao Wang
Tianjun Xiao
Tong He
Zongbo Han
Zheng Zhang
Mike Zheng Shou
VLM
LRM
80
139
0
29 Apr 2024
Beyond the Speculative Game: A Survey of Speculative Execution in Large
  Language Models
Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
Chen Zhang
Zhuorui Liu
Dawei Song
LRM
33
3
0
23 Apr 2024
Offset Unlearning for Large Language Models
Offset Unlearning for Large Language Models
James Y. Huang
Wenxuan Zhou
Fei Wang
Fred Morstatter
Sheng Zhang
Hoifung Poon
Muhao Chen
MU
22
13
0
17 Apr 2024
DESTEIN: Navigating Detoxification of Language Models via Universal
  Steering Pairs and Head-wise Activation Fusion
DESTEIN: Navigating Detoxification of Language Models via Universal Steering Pairs and Head-wise Activation Fusion
Yu Li
Zhihua Wei
Han Jiang
Chuanyang Gong
LLMSV
23
2
0
16 Apr 2024
Entropy Guided Extrapolative Decoding to Improve Factuality in Large
  Language Models
Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models
Souvik Das
Lifeng Jin
Linfeng Song
Haitao Mi
Baolin Peng
Dong Yu
HILM
40
2
0
14 Apr 2024
Exploring and Improving Drafts in Blockwise Parallel Decoding
Exploring and Improving Drafts in Blockwise Parallel Decoding
Taehyeon Kim
A. Suresh
Kishore Papineni
Michael Riley
Sanjiv Kumar
Adrian Benton
AI4TS
47
2
0
14 Apr 2024
Rho-1: Not All Tokens Are What You Need
Rho-1: Not All Tokens Are What You Need
Zheng-Wen Lin
Zhibin Gou
Yeyun Gong
Xiao Liu
Yelong Shen
...
Chen Lin
Yujiu Yang
Jian Jiao
Nan Duan
Weizhu Chen
CLL
46
55
0
11 Apr 2024
CodecLM: Aligning Language Models with Tailored Synthetic Data
CodecLM: Aligning Language Models with Tailored Synthetic Data
Zifeng Wang
Chun-Liang Li
Vincent Perot
Long T. Le
Jin Miao
Zizhao Zhang
Chen-Yu Lee
Tomas Pfister
SyDa
ALM
23
17
0
08 Apr 2024
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge
  Editing Benchmark
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark
Baolong Bi
Shenghua Liu
Yiwei Wang
Lingrui Mei
Xueqi Cheng
KELM
41
9
0
30 Mar 2024
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Yuxuan Yao
Han Wu
Zhijiang Guo
Biyan Zhou
Jiahui Gao
Sichun Luo
Hanxu Hou
Xiaojin Fu
Linqi Song
LLMAG
LRM
40
9
0
28 Mar 2024
Mitigating Hallucinations in Large Vision-Language Models with
  Instruction Contrastive Decoding
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
Xintong Wang
Jingheng Pan
Liang Ding
Christian Biemann
MLLM
32
52
0
27 Mar 2024
Monotonic Paraphrasing Improves Generalization of Language Model
  Prompting
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
Qin Liu
Fei Wang
Nan Xu
Tianyi Yan
Tao Meng
Muhao Chen
LRM
38
7
0
24 Mar 2024
Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination
Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination
Dingchen Yang
Bowen Cao
Guang Chen
Changjun Jiang
46
7
0
21 Mar 2024
Multi-Modal Hallucination Control by Visual Information Grounding
Multi-Modal Hallucination Control by Visual Information Grounding
Alessandro Favero
L. Zancato
Matthew Trager
Siddharth Choudhary
Pramuditha Perera
Alessandro Achille
Ashwin Swaminathan
Stefano Soatto
MLLM
87
62
0
20 Mar 2024
Knowledge Conflicts for LLMs: A Survey
Knowledge Conflicts for LLMs: A Survey
Rongwu Xu
Zehan Qi
Zhijiang Guo
Cunxiang Wang
Hongru Wang
Yue Zhang
Wei Xu
198
91
0
13 Mar 2024
Debiasing Multimodal Large Language Models
Debiasing Multimodal Large Language Models
Yi-Fan Zhang
Weichen Yu
Qingsong Wen
Xue Wang
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
39
4
0
08 Mar 2024
Learning to Decode Collaboratively with Multiple Language Models
Learning to Decode Collaboratively with Multiple Language Models
Zejiang Shen
Hunter Lang
Bailin Wang
Yoon Kim
David Sontag
41
28
0
06 Mar 2024
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