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DExperts: Decoding-Time Controlled Text Generation with Experts and
  Anti-Experts

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts

7 May 2021
Alisa Liu
Maarten Sap
Ximing Lu
Swabha Swayamdipta
Chandra Bhagavatula
Noah A. Smith
Yejin Choi
    MU
ArXivPDFHTML

Papers citing "DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts"

50 / 72 papers shown
Title
Teaching Models to Understand (but not Generate) High-risk Data
Teaching Models to Understand (but not Generate) High-risk Data
Ryan Yixiang Wang
Matthew Finlayson
Luca Soldaini
Swabha Swayamdipta
Robin Jia
86
0
0
05 May 2025
Semantic Probabilistic Control of Language Models
Semantic Probabilistic Control of Language Models
Kareem Ahmed
Catarina G Belém
Padhraic Smyth
Sameer Singh
42
0
0
04 May 2025
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
Gwen Yidou Weng
Benjie Wang
Guy Van den Broeck
BDL
102
0
0
25 Apr 2025
Unified Attacks to Large Language Model Watermarks: Spoofing and Scrubbing in Unauthorized Knowledge Distillation
Unified Attacks to Large Language Model Watermarks: Spoofing and Scrubbing in Unauthorized Knowledge Distillation
Xin Yi
Shunfan Zhengc
Linlin Wanga
Xiaoling Wang
Liang He
Liang He
AAML
118
0
0
24 Apr 2025
From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment
From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment
Yucheng Suo
Fan Ma
Linchao Zhu
T. Wang
Fengyun Rao
Yi Yang
LRM
72
0
0
26 Mar 2025
Selective Prompt Anchoring for Code Generation
Selective Prompt Anchoring for Code Generation
Yuan Tian
Tianyi Zhang
86
3
0
24 Feb 2025
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
Yuchen Wen
Keping Bi
Wei Chen
J. Guo
Xueqi Cheng
81
1
0
20 Feb 2025
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang
Dongling Xiao
Jinjie Wei
Mingcheng Li
Zhaoyu Chen
Ke Li
L. Zhang
HILM
92
3
0
28 Jan 2025
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Zeping Yu
Sophia Ananiadou
KELM
43
1
0
24 Jan 2025
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
Jiaqi Wang
Yifei Gao
Jitao Sang
MLLM
115
2
0
24 Nov 2024
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
Wenkai Li
Jiarui Liu
Andy Liu
Xuhui Zhou
Mona Diab
Maarten Sap
48
6
0
21 Oct 2024
From Pixels to Personas: Investigating and Modeling
  Self-Anthropomorphism in Human-Robot Dialogues
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues
Yu Li
Devamanyu Hazarika
Di Jin
Julia Hirschberg
Yang Liu
26
0
0
04 Oct 2024
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
Han Wang
Archiki Prasad
Elias Stengel-Eskin
Mohit Bansal
75
5
0
11 Sep 2024
LLM-based multi-agent poetry generation in non-cooperative environments
LLM-based multi-agent poetry generation in non-cooperative environments
Ran Zhang
Steffen Eger
LLMAG
31
5
0
05 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Cheng Wang
Yiwei Wang
Bryan Hooi
Yujun Cai
Nanyun Peng
Kai-Wei Chang
37
2
0
05 Sep 2024
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective
  Alignment with Contrastive Prompts
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
Tingchen Fu
Yupeng Hou
Julian McAuley
Rui Yan
28
3
0
09 Aug 2024
Diffusion Guided Language Modeling
Diffusion Guided Language Modeling
Justin Lovelace
Varsha Kishore
Yiwei Chen
Kilian Q. Weinberger
36
6
0
08 Aug 2024
Strong Copyright Protection for Language Models via Adaptive Model
  Fusion
Strong Copyright Protection for Language Models via Adaptive Model Fusion
Javier Abad
Konstantin Donhauser
Francesco Pinto
Fanny Yang
37
4
0
29 Jul 2024
Towards Aligning Language Models with Textual Feedback
Towards Aligning Language Models with Textual Feedback
Sauc Abadal Lloret
S. Dhuliawala
K. Murugesan
Mrinmaya Sachan
VLM
38
1
0
24 Jul 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
38
18
0
08 Jul 2024
CPT: Consistent Proxy Tuning for Black-box Optimization
CPT: Consistent Proxy Tuning for Black-box Optimization
Yuanyang He
Zitong Huang
Xinxing Xu
Rick Siow Mong Goh
Salman Khan
W. Zuo
Yong Liu
Chun-Mei Feng
34
0
0
01 Jul 2024
FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating
  Toxicity in French Texts
FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts
Caroline Brun
Vassilina Nikoulina
34
1
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
38
5
0
25 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
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective
  Unlearning in LLMs
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
S. Kadhe
Farhan Ahmed
Dennis Wei
Nathalie Baracaldo
Inkit Padhi
MoMe
MU
26
6
0
17 Jun 2024
A Framework for Real-time Safeguarding the Text Generation of Large
  Language Model
A Framework for Real-time Safeguarding the Text Generation of Large Language Model
Ximing Dong
Dayi Lin
Shaowei Wang
Ahmed E. Hassan
25
1
0
29 Apr 2024
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
Minbeom Kim
Hwanhee Lee
Joonsuk Park
Hwaran Lee
Kyomin Jung
32
1
0
18 Apr 2024
From One to Many: Expanding the Scope of Toxicity Mitigation in Language
  Models
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models
Luiza Amador Pozzobon
Patrick Lewis
Sara Hooker
B. Ermiş
36
7
0
06 Mar 2024
Apollo: A Lightweight Multilingual Medical LLM towards Democratizing
  Medical AI to 6B People
Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People
Xidong Wang
Nuo Chen
Junying Chen
Yan Hu
Yidong Wang
Xiangbo Wu
Anningzhe Gao
Xiang Wan
Haizhou Li
Benyou Wang
LM&MA
38
25
0
06 Mar 2024
Socratic Reasoning Improves Positive Text Rewriting
Socratic Reasoning Improves Positive Text Rewriting
Anmol Goel
Nico Daheim
Iryna Gurevych
Iryna Gurevych
LRM
36
4
0
05 Mar 2024
Quantized Embedding Vectors for Controllable Diffusion Language Models
Quantized Embedding Vectors for Controllable Diffusion Language Models
Cheng Kang
Xinye Chen
Yong Hu
Daniel Novak
21
0
0
15 Feb 2024
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
16
3
0
27 Nov 2023
Controlled Text Generation via Language Model Arithmetic
Controlled Text Generation via Language Model Arithmetic
Jasper Dekoninck
Marc Fischer
Luca Beurer-Kellner
Martin Vechev
26
36
0
24 Nov 2023
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in
  LLM-Generated Reference Letters
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
Yixin Wan
George Pu
Jiao Sun
Aparna Garimella
Kai-Wei Chang
Nanyun Peng
32
159
0
13 Oct 2023
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented
  Models
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models
Luiza Amador Pozzobon
B. Ermiş
Patrick Lewis
Sara Hooker
28
20
0
11 Oct 2023
CMD: a framework for Context-aware Model self-Detoxification
CMD: a framework for Context-aware Model self-Detoxification
Zecheng Tang
Keyan Zhou
Juntao Li
Yuyang Ding
Pinzheng Wang
Bowen Yan
Minzhang
MU
23
5
0
16 Aug 2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via
  Parameter-Efficient Module Operation
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Xinshuo Hu
Dongfang Li
Baotian Hu
Zihao Zheng
Zhenyu Liu
M. Zhang
KELM
MU
25
26
0
16 Aug 2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and
  Negative Prompting for Coherent and Diverse Synthetic Data Generation
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Charles OÑeill
Y. Ting 丁
I. Ciucă
Jack Miller
Thang Bui
SyDa
31
1
0
15 Aug 2023
CFL: Causally Fair Language Models Through Token-level Attribute
  Controlled Generation
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
Rahul Madhavan
Rishabh Garg
Kahini Wadhawan
S. Mehta
21
5
0
01 Jun 2023
An Invariant Learning Characterization of Controlled Text Generation
An Invariant Learning Characterization of Controlled Text Generation
Carolina Zheng
Claudia Shi
Keyon Vafa
Amir Feder
David M. Blei
OOD
22
8
0
31 May 2023
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
Yue Guo
Tal August
Gondy Leroy
T. Cohen
Lucy Lu Wang
55
9
0
23 May 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
Jiaao Chen
Aston Zhang
Mu Li
Alexander J. Smola
Diyi Yang
DiffM
24
17
0
10 Apr 2023
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
Nico Daheim
Nouha Dziri
Mrinmaya Sachan
Iryna Gurevych
E. Ponti
MoMe
26
30
0
30 Mar 2023
Second Thoughts are Best: Learning to Re-Align With Human Values from
  Text Edits
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
Ruibo Liu
Chenyan Jia
Ge Zhang
Ziyu Zhuang
Tony X. Liu
Soroush Vosoughi
90
34
0
01 Jan 2023
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
Tianxing He
Jingyu Zhang
Tianle Wang
Sachin Kumar
Kyunghyun Cho
James R. Glass
Yulia Tsvetkov
27
44
0
20 Dec 2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text
  Generation
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation
Yuxi Feng
Xiaoyuan Yi
Xiting Wang
L. Lakshmanan
Xing Xie
DiffM
27
5
0
16 Dec 2022
Controllable Text Generation via Probability Density Estimation in the
  Latent Space
Controllable Text Generation via Probability Density Estimation in the Latent Space
Yuxuan Gu
Xiaocheng Feng
Sicheng Ma
Lingyuan Zhang
Heng Gong
Weihong Zhong
Bing Qin
19
18
0
16 Dec 2022
Editing Models with Task Arithmetic
Editing Models with Task Arithmetic
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
KELM
MoMe
MU
41
422
0
08 Dec 2022
Understanding BLOOM: An empirical study on diverse NLP tasks
Understanding BLOOM: An empirical study on diverse NLP tasks
Parag Dakle
Sai Krishna Rallabandi
Preethi Raghavan
AI4CE
31
3
0
27 Nov 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek F. Abdelzaher
Jiawei Han
VLM
41
46
0
06 Nov 2022
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