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Inference-Time Intervention: Eliciting Truthful Answers from a Language
  Model

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

6 June 2023
Kenneth Li
Oam Patel
Fernanda Viégas
Hanspeter Pfister
Martin Wattenberg
    KELM
    HILM
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Papers citing "Inference-Time Intervention: Eliciting Truthful Answers from a Language Model"

40 / 90 papers shown
Title
Attention layers provably solve single-location regression
Attention layers provably solve single-location regression
P. Marion
Raphael Berthier
Gérard Biau
Claire Boyer
93
2
0
02 Oct 2024
Robust LLM safeguarding via refusal feature adversarial training
Robust LLM safeguarding via refusal feature adversarial training
L. Yu
Virginie Do
Karen Hambardzumyan
Nicola Cancedda
AAML
56
10
0
30 Sep 2024
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Haiyan Zhao
Heng Zhao
Bo Shen
Ali Payani
Fan Yang
Mengnan Du
57
2
0
30 Sep 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
Wei Chen
Zhen Huang
Liang Xie
Binbin Lin
Houqiang Li
...
Deng Cai
Yonggang Zhang
Wenxiao Wang
Xu Shen
Jieping Ye
42
6
0
03 Sep 2024
Personality Alignment of Large Language Models
Personality Alignment of Large Language Models
Minjun Zhu
Linyi Yang
Yue Zhang
Yue Zhang
ALM
57
5
0
21 Aug 2024
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
Chunyang Li
Hao Peng
Xiaozhi Wang
Y. Qi
Lei Hou
Bin Xu
Juanzi Li
HILM
33
1
0
22 Jul 2024
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty
Maor Ivgi
Ori Yoran
Jonathan Berant
Mor Geva
HILM
47
8
0
08 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
Daking Rai
Yilun Zhou
Shi Feng
Abulhair Saparov
Ziyu Yao
75
19
0
02 Jul 2024
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in
  LLMs
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
Jannik Kossen
Jiatong Han
Muhammed Razzak
Lisa Schut
Shreshth A. Malik
Yarin Gal
HILM
46
33
0
22 Jun 2024
Insights into LLM Long-Context Failures: When Transformers Know but
  Don't Tell
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
Taiming Lu
Muhan Gao
Kuai Yu
Adam Byerly
Daniel Khashabi
42
11
0
20 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
36
2
0
11 Jun 2024
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
Wichayaporn Wongkamjan
Feng Gu
Yanze Wang
Ulf Hermjakob
Jonathan May
Brandon M. Stewart
Jonathan K. Kummerfeld
Denis Peskoff
Jordan L. Boyd-Graber
45
3
0
07 Jun 2024
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila
Shuai Zhang
Boran Han
Yuyang Wang
AAML
LLMSV
27
6
0
05 Jun 2024
Towards Detecting LLMs Hallucination via Markov Chain-based Multi-agent
  Debate Framework
Towards Detecting LLMs Hallucination via Markov Chain-based Multi-agent Debate Framework
Xiaoxi Sun
Jinpeng Li
Yan Zhong
Dongyan Zhao
Rui Yan
LLMAG
HILM
29
5
0
05 Jun 2024
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Kiho Park
Yo Joong Choe
Yibo Jiang
Victor Veitch
50
25
0
03 Jun 2024
Standards for Belief Representations in LLMs
Standards for Belief Representations in LLMs
Daniel A. Herrmann
B. Levinstein
34
6
0
31 May 2024
Knowledge Circuits in Pretrained Transformers
Knowledge Circuits in Pretrained Transformers
Yunzhi Yao
Ningyu Zhang
Zekun Xi
Meng Wang
Ziwen Xu
Shumin Deng
Huajun Chen
KELM
64
20
0
28 May 2024
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
Tianlong Wang
Xianfeng Jiao
Yifan He
Zhongzhi Chen
Yinghao Zhu
Xu Chu
Junyi Gao
Yasha Wang
Liantao Ma
LLMSV
59
7
0
26 May 2024
Implicit In-context Learning
Implicit In-context Learning
Zhuowei Li
Zihao Xu
Ligong Han
Yunhe Gao
Song Wen
Di Liu
Hao Wang
Dimitris N. Metaxas
38
1
0
23 May 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
67
46
0
23 Apr 2024
Continuous Language Model Interpolation for Dynamic and Controllable
  Text Generation
Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
Sara Kangaslahti
David Alvarez-Melis
KELM
29
0
0
10 Apr 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
Jingyu Zhang
Marc Marone
Tianjian Li
Benjamin Van Durme
Daniel Khashabi
85
9
0
05 Apr 2024
Language Models Represent Beliefs of Self and Others
Language Models Represent Beliefs of Self and Others
Wentao Zhu
Zhining Zhang
Yizhou Wang
MILM
LRM
38
7
0
28 Feb 2024
Citation-Enhanced Generation for LLM-based Chatbots
Citation-Enhanced Generation for LLM-based Chatbots
Weitao Li
Junkai Li
Weizhi Ma
Yang Liu
60
17
0
25 Feb 2024
A Language Model's Guide Through Latent Space
A Language Model's Guide Through Latent Space
Dimitri von Rutte
Sotiris Anagnostidis
Gregor Bachmann
Thomas Hofmann
35
21
0
22 Feb 2024
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
Kundan Krishna
S. Ramprasad
Prakhar Gupta
Byron C. Wallace
Zachary Chase Lipton
Jeffrey P. Bigham
HILM
KELM
SyDa
50
9
0
19 Feb 2024
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for
  Hallucination Mitigation
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
Yuxin Liang
Zhuoyang Song
Hao Wang
Jiaxing Zhang
HILM
31
28
0
27 Jan 2024
Effective Large Language Model Adaptation for Improved Grounding and
  Citation Generation
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
Xi Ye
Ruoxi Sun
Sercan Ö. Arik
Tomas Pfister
HILM
26
25
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
Towards Best Practices of Activation Patching in Language Models:
  Metrics and Methods
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang
Neel Nanda
LLMSV
26
96
0
27 Sep 2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large
  Language Models
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Yue Zhang
Yafu Li
Leyang Cui
Deng Cai
Lemao Liu
...
Longyue Wang
A. Luu
Wei Bi
Freda Shi
Shuming Shi
RALM
LRM
HILM
41
519
0
03 Sep 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
21
26
0
16 Aug 2023
Hoodwinked: Deception and Cooperation in a Text-Based Game for Language
  Models
Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models
Aidan O'Gara
6
36
0
05 Jul 2023
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
218
443
0
23 Aug 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
171
772
0
27 May 2022
Teaching language models to support answers with verified quotes
Teaching language models to support answers with verified quotes
Jacob Menick
Maja Trebacz
Vladimir Mikulik
John Aslanides
Francis Song
...
Mia Glaese
Susannah Young
Lucy Campbell-Gillingham
G. Irving
Nat McAleese
ELM
RALM
235
257
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,909
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,448
0
28 Jan 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
224
404
0
24 Feb 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,587
0
18 Sep 2019
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