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TruthfulQA: Measuring How Models Mimic Human Falsehoods

TruthfulQA: Measuring How Models Mimic Human Falsehoods

8 September 2021
Stephanie C. Lin
Jacob Hilton
Owain Evans
    HILM
ArXivPDFHTML

Papers citing "TruthfulQA: Measuring How Models Mimic Human Falsehoods"

50 / 337 papers shown
Title
Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
Hyeonwoo Kim
Dahyun Kim
Jihoo Kim
Sukyung Lee
Y. Kim
Chanjun Park
46
0
0
16 Oct 2024
Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks
Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks
Rudra Murthy
Prince Kumar
Praveen Venkateswaran
Danish Contractor
KELM
ALM
ELM
34
1
0
16 Oct 2024
Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
Weixuan Wang
J. Yang
Wei Peng
LLMSV
28
2
0
16 Oct 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin
Bo Zhu
Li Yuan
Shuicheng Yan
MoE
31
13
0
15 Oct 2024
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
Syeda Nahida Akter
Shrimai Prabhumoye
John Kamalu
S. Satheesh
Eric Nyberg
M. Patwary
M. Shoeybi
Bryan Catanzaro
LRM
SyDa
ReLM
103
1
0
15 Oct 2024
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Tongtian Yue
Longteng Guo
Jie Cheng
Xuange Gao
Jiaheng Liu
MoE
39
0
0
14 Oct 2024
Taming Overconfidence in LLMs: Reward Calibration in RLHF
Taming Overconfidence in LLMs: Reward Calibration in RLHF
Jixuan Leng
Chengsong Huang
Banghua Zhu
Jiaxin Huang
34
7
0
13 Oct 2024
Language Imbalance Driven Rewarding for Multilingual Self-improving
Language Imbalance Driven Rewarding for Multilingual Self-improving
Wen Yang
Junhong Wu
Chen Wang
Chengqing Zong
Junzhe Zhang
ALM
LRM
68
4
0
11 Oct 2024
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Shenao Zhang
Zhihan Liu
Boyi Liu
Yuhang Zhang
Yingxiang Yang
Y. Liu
Liyu Chen
Tao Sun
Ziyi Wang
101
3
0
10 Oct 2024
A Closer Look at Machine Unlearning for Large Language Models
A Closer Look at Machine Unlearning for Large Language Models
Xiaojian Yuan
Tianyu Pang
Chao Du
Kejiang Chen
Weiming Zhang
Min-Bin Lin
MU
41
5
0
10 Oct 2024
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
Philipp Guldimann
Alexander Spiridonov
Robin Staab
Nikola Jovanović
Mark Vero
...
Mislav Balunović
Nikola Konstantinov
Pavol Bielik
Petar Tsankov
Martin Vechev
ELM
50
4
0
10 Oct 2024
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language
  Models for Healthcare
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
Pardis Sadat Zahraei
Zahra Shakeri
LM&MA
26
0
0
09 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
87
1
0
09 Oct 2024
Calibrating Expressions of Certainty
Calibrating Expressions of Certainty
Peiqi Wang
Barbara D. Lam
Yingcheng Liu
Ameneh Asgari-Targhi
Rameswar Panda
W. Wells
Tina Kapur
Polina Golland
34
1
0
06 Oct 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
Guanchu Wang
Yu-Neng Chuang
Ruixiang Tang
Shaochen Zhong
Jiayi Yuan
...
Zirui Liu
V. Chaudhary
Shuai Xu
James Caverlee
Xia Hu
PILM
76
1
0
06 Oct 2024
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
Lu Chen
Yuxuan Huang
Yixing Li
Dongrui Liu
Qihan Ren
Shuai Zhao
Kun Kuang
Zilong Zheng
Quanshi Zhang
31
1
0
06 Oct 2024
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
Xinpeng Wang
Chengzhi Hu
Paul Röttger
Barbara Plank
46
6
0
04 Oct 2024
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Hadas Orgad
Michael Toker
Zorik Gekhman
Roi Reichart
Idan Szpektor
Hadas Kotek
Yonatan Belinkov
HILM
AIFin
61
25
0
03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty
Suzan Verberne
Fatih Turkmen
ELM
PILM
74
7
0
03 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
53
10
0
03 Oct 2024
Better Instruction-Following Through Minimum Bayes Risk
Better Instruction-Following Through Minimum Bayes Risk
Ian Wu
Patrick Fernandes
Amanda Bertsch
Seungone Kim
Sina Pakazad
Graham Neubig
48
9
0
03 Oct 2024
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Yi Cheng
Xiao Liang
Yeyun Gong
Wen Xiao
Song Wang
...
Wenjie Li
Jian Jiao
Qi Chen
Peng Cheng
Wayne Xiong
HILM
59
1
0
02 Oct 2024
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu
Pei-Yu Lo
ReLM
LRM
46
2
0
02 Oct 2024
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
Yuxuan Zhang
Ruizhe Li
MoMe
55
0
0
02 Oct 2024
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
Yifei Ming
Senthil Purushwalkam
Shrey Pandit
Zixuan Ke
Xuan-Phi Nguyen
Caiming Xiong
Shafiq R. Joty
HILM
112
16
0
30 Sep 2024
Small Language Models: Survey, Measurements, and Insights
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu
Xiang Li
Dongqi Cai
Rongjie Yi
Fangming Liu
Xiwen Zhang
Nicholas D. Lane
Mengwei Xu
ObjD
LRM
58
36
0
24 Sep 2024
Prompt Obfuscation for Large Language Models
Prompt Obfuscation for Large Language Models
David Pape
Thorsten Eisenhofer
Thorsten Eisenhofer
Lea Schönherr
AAML
38
2
0
17 Sep 2024
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
Guobin Shen
Dongcheng Zhao
Aorigele Bao
Xiang He
Yiting Dong
Yi Zeng
36
1
0
14 Sep 2024
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
Zhe Su
Xuhui Zhou
Sanketh Rangreji
Anubha Kabra
Julia Mendelsohn
Faeze Brahman
Maarten Sap
LLMAG
106
3
0
13 Sep 2024
Representation Tuning
Representation Tuning
Christopher M. Ackerman
LLMSV
29
0
0
11 Sep 2024
Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard
Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard
Chanjun Park
Hyeonwoo Kim
LRM
60
1
0
05 Sep 2024
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Junhao Chen
Bowen Wang
Zhouqiang Jiang
Yuta Nakashima
48
1
0
20 Aug 2024
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs
Do Xuan Long
Hai Nguyen Ngoc
Tiviatis Sim
Hieu Dao
Shafiq R. Joty
Kenji Kawaguchi
Nancy F. Chen
Min-Yen Kan
34
7
0
16 Aug 2024
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty
Yongjin Yang
Haneul Yoo
Hwaran Lee
65
1
0
13 Aug 2024
Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
Zikai Xie
HILM
LRM
61
5
0
09 Aug 2024
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language
  Models via Weight Disentanglement
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement
Le Yu
Bowen Yu
Haiyang Yu
Fei Huang
Yongbin Li
MoMe
32
5
0
06 Aug 2024
Meltemi: The first open Large Language Model for Greek
Meltemi: The first open Large Language Model for Greek
Leon Voukoutis
Dimitris Roussis
Georgios Paraskevopoulos
Sokratis Sofianopoulos
Prokopis Prokopidis
Vassilis Papavasileiou
Athanasios Katsamanis
Stelios Piperidis
V. Katsouros
VLM
35
7
0
30 Jul 2024
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost
Sania Nayab
Giulio Rossolini
Giorgio Buttazzo
Nicolamaria Manes
F. Giacomelli
Nicolamaria Manes
Fabrizio Giacomelli
LRM
59
24
0
29 Jul 2024
A deeper look at depth pruning of LLMs
A deeper look at depth pruning of LLMs
Shoaib Ahmed Siddiqui
Xin Dong
Greg Heinrich
Thomas Breuel
Jan Kautz
David M. Krueger
Pavlo Molchanov
40
7
0
23 Jul 2024
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
Gonçalo Hora de Carvalho
Oscar Knap
R. Pollice
ReLM
ELM
LRM
34
1
0
12 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
63
8
0
08 Jul 2024
Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?
Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?
Leonidas Zotos
H. Rijn
Malvina Nissim
ELM
42
2
0
07 Jul 2024
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM
  Compression
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
Zhichao Xu
Ashim Gupta
Tao Li
Oliver Bentham
Vivek Srikumar
52
8
0
06 Jul 2024
A Systematic Survey and Critical Review on Evaluating Large Language
  Models: Challenges, Limitations, and Recommendations
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Md Tahmid Rahman Laskar
Sawsan Alqahtani
M Saiful Bari
Mizanur Rahman
Mohammad Abdullah Matin Khan
...
Chee Wei Tan
Md. Rizwan Parvez
Enamul Hoque
Shafiq R. Joty
Jimmy Huang
ELM
ALM
29
28
0
04 Jul 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large
  Language Models
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
Bozhong Tian
Xiaozhuan Liang
Siyuan Cheng
Qingbin Liu
Mengru Wang
Dianbo Sui
Xi Chen
Huajun Chen
Ningyu Zhang
MU
32
6
0
02 Jul 2024
Badllama 3: removing safety finetuning from Llama 3 in minutes
Badllama 3: removing safety finetuning from Llama 3 in minutes
Dmitrii Volkov
26
4
0
01 Jul 2024
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Yuheng Zhang
Dian Yu
Baolin Peng
Linfeng Song
Ye Tian
Mingyue Huo
Nan Jiang
Haitao Mi
Dong Yu
35
15
0
30 Jun 2024
Teola: Towards End-to-End Optimization of LLM-based Applications
Teola: Towards End-to-End Optimization of LLM-based Applications
Xin Tan
Yimin Jiang
Yitao Yang
Hong-Yu Xu
70
5
0
29 Jun 2024
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
Huixuan Zhang
Yun Lin
Xiaojun Wan
50
0
0
26 Jun 2024
VarBench: Robust Language Model Benchmarking Through Dynamic Variable
  Perturbation
VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation
Kun Qian
Shunji Wan
Claudia Tang
Youzhi Wang
Xuanming Zhang
Maximillian Chen
Zhou Yu
AAML
45
8
0
25 Jun 2024
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