ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.09677
  4. Cited By
R-Tuning: Instructing Large Language Models to Say `I Don't Know'

R-Tuning: Instructing Large Language Models to Say `I Don't Know'

16 November 2023
Hanning Zhang
Shizhe Diao
Yong Lin
Yi Ren Fung
Qing Lian
Xingyao Wang
Yangyi Chen
Heng Ji
Tong Zhang
    UQLM
ArXivPDFHTML

Papers citing "R-Tuning: Instructing Large Language Models to Say `I Don't Know'"

34 / 34 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
79
0
0
25 Apr 2025
Metacognition and Uncertainty Communication in Humans and Large Language Models
Metacognition and Uncertainty Communication in Humans and Large Language Models
Mark Steyvers
Megan A.K. Peters
24
0
0
18 Apr 2025
Learning from Reference Answers: Versatile Language Model Alignment without Binary Human Preference Data
Learning from Reference Answers: Versatile Language Model Alignment without Binary Human Preference Data
Shuai Zhao
Linchao Zhu
Yi Yang
29
1
0
14 Apr 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
Ziwei Ji
L. Yu
Yeskendir Koishekenov
Yejin Bang
Anthony Hartshorn
Alan Schelten
Cheng Zhang
Pascale Fung
Nicola Cancedda
44
1
0
18 Mar 2025
Don't lie to your friends: Learning what you know from collaborative self-play
Don't lie to your friends: Learning what you know from collaborative self-play
Jacob Eisenstein
Reza Aghajani
Adam Fisch
Dheeru Dua
Fantine Huot
Mirella Lapata
Vicky Zayats
Jonathan Berant
66
0
0
18 Mar 2025
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering
Zhi Rui Tam
Cheng-Kuang Wu
Chieh-Yen Lin
Yun-Nung Chen
36
1
0
03 Mar 2025
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
Yinghui Li
Haojing Huang
Jiayi Kuang
Yangning Li
Shu Guo
C. Qu
Xiaoyu Tan
Hai-Tao Zheng
Ying Shen
Philip S. Yu
CLL
66
5
0
11 Feb 2025
Cannot or Should Not? Automatic Analysis of Refusal Composition in
  IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs
Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs
Alexander von Recum
Christoph Schnabl
Gabor Hollbeck
Silas Alberti
Philip Blinde
Marvin von Hagen
87
2
0
22 Dec 2024
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
Luo Ji
Feixiang Guo
Teng Chen
Qingqing Gu
Xiaoyu Wang
...
Peng Yu
Yue Zhao
Hongyang Lei
Zhonglin Jiang
Yong Chen
RALM
LRM
89
0
0
21 Dec 2024
Epistemic Integrity in Large Language Models
Epistemic Integrity in Large Language Models
Bijean Ghafouri
Shahrad Mohammadzadeh
James Zhou
Pratheeksha Nair
Jacob-Junqi Tian
Mayank Goel
Reihaneh Rabbany
Jean-Francois Godbout
Kellin Pelrine
HILM
24
0
0
10 Nov 2024
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite
  Learning
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
Yujian Liu
Shiyu Chang
Tommi Jaakkola
Yang Zhang
23
0
0
25 Oct 2024
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic
  Entropy
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
Benedict Aaron Tjandra
Muhammed Razzak
Jannik Kossen
Kunal Handa
Yarin Gal
HILM
28
0
0
22 Oct 2024
Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through
  Failure-Inducing Exploration
Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration
Qintong Li
Jiahui Gao
Sheng Wang
Renjie Pi
Xueliang Zhao
Chuan Wu
Xin Jiang
Z. Li
Lingpeng Kong
SyDa
20
0
0
22 Oct 2024
A Survey on the Honesty of Large Language Models
A Survey on the Honesty of Large Language Models
Siheng Li
Cheng Yang
Taiqiang Wu
Chufan Shi
Yuji Zhang
...
Jie Zhou
Yujiu Yang
Ngai Wong
Xixin Wu
Wai Lam
HILM
27
4
0
27 Sep 2024
Tell Me What You Don't Know: Enhancing Refusal Capabilities of
  Role-Playing Agents via Representation Space Analysis and Editing
Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
Wenhao Liu
Siyu An
Junru Lu
Muling Wu
Tianlong Li
Xiaohua Wang
Xiaoqing Zheng
Di Yin
Xing Sun
Xuanjing Huang
28
0
0
25 Sep 2024
Trust or Escalate: LLM Judges with Provable Guarantees for Human
  Agreement
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
Jaehun Jung
Faeze Brahman
Yejin Choi
ALM
34
11
0
25 Jul 2024
Knowledge Overshadowing Causes Amalgamated Hallucination in Large
  Language Models
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
Yuji Zhang
Sha Li
Jiateng Liu
Pengfei Yu
Yi Ren Fung
Jing Li
Manling Li
Heng Ji
29
8
0
10 Jul 2024
Grounding and Evaluation for Large Language Models: Practical Challenges
  and Lessons Learned (Survey)
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
K. Kenthapadi
M. Sameki
Ankur Taly
HILM
ELM
AILaw
26
12
0
10 Jul 2024
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and
  Aleatoric Awareness
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Raghavi Chandu
Linjie Li
Anas Awadalla
Ximing Lu
Jae Sung Park
Jack Hessel
Lijuan Wang
Yejin Choi
36
2
0
02 Jul 2024
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of
  Theories, Detection Methods, and Opportunities
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
Xiaomin Yu
Yezhaohui Wang
Yanfang Chen
Zhen Tao
Dinghao Xi
Shichao Song
Simin Niu
Zhiyu Li
62
7
0
25 Apr 2024
From Pixels to Insights: A Survey on Automatic Chart Understanding in
  the Era of Large Foundation Models
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Kung-Hsiang Huang
Hou Pong Chan
Yi Ren Fung
Haoyi Qiu
Mingyang Zhou
Shafiq R. Joty
Shih-Fu Chang
Heng Ji
AI4TS
59
14
0
18 Mar 2024
Functional Benchmarks for Robust Evaluation of Reasoning Performance,
  and the Reasoning Gap
Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
Saurabh Srivastava
B. AnnaroseM
V. AntoP
Shashank Menon
Ajay Sukumar
T. AdwaithSamod
Alan Philipose
Stevin Prince
Sooraj Thomas
ELM
ReLM
LRM
27
45
0
29 Feb 2024
Search Engines Post-ChatGPT: How Generative Artificial Intelligence
  Could Make Search Less Reliable
Search Engines Post-ChatGPT: How Generative Artificial Intelligence Could Make Search Less Reliable
Shahan Ali Memon
Jevin D. West
16
4
0
18 Feb 2024
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries
Jiateng Liu
Pengfei Yu
Yuji Zhang
Sha Li
Zixuan Zhang
Heng Ji
KELM
11
4
0
17 Feb 2024
$L^*LM$: Learning Automata from Examples using Natural Language Oracles
L∗LML^*LML∗LM: Learning Automata from Examples using Natural Language Oracles
Marcell Vazquez-Chanlatte
Karim Elmaaroufi
Stefan J. Witwicki
S. Seshia
11
4
0
10 Feb 2024
EntGPT: Linking Generative Large Language Models with Knowledge Bases
EntGPT: Linking Generative Large Language Models with Knowledge Bases
Yifan Ding
Amrit Poudel
Qingkai Zeng
Tim Weninger
Balaji Veeramani
Sanmitra Bhattacharya
ReLM
KELM
LRM
10
4
0
09 Feb 2024
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering
  with Multi-Granularity Answers
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
G. Yona
Roee Aharoni
Mor Geva
ELM
20
11
0
09 Jan 2024
A Comprehensive Survey of Hallucination Mitigation Techniques in Large
  Language Models
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
S.M. Towhidul Islam Tonmoy
S. M. M. Zaman
Vinija Jain
Anku Rani
Vipula Rawte
Aman Chadha
Amitava Das
HILM
29
175
0
02 Jan 2024
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak
  Supervision
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Collin Burns
Pavel Izmailov
Jan Hendrik Kirchner
Bowen Baker
Leo Gao
...
Adrien Ecoffet
Manas Joglekar
Jan Leike
Ilya Sutskever
Jeff Wu
ELM
18
254
0
14 Dec 2023
Examining LLMs' Uncertainty Expression Towards Questions Outside
  Parametric Knowledge
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
Genglin Liu
Xingyao Wang
Lifan Yuan
Yangyi Chen
Hao Peng
27
15
0
16 Nov 2023
Self-RAG: Learning to Retrieve, Generate, and Critique through
  Self-Reflection
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai
Zeqiu Wu
Yizhong Wang
Avirup Sil
Hannaneh Hajishirzi
RALM
138
600
0
17 Oct 2023
Security and Privacy on Generative Data in AIGC: A Survey
Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang
Yushu Zhang
Shuren Qi
Ruoyu Zhao
Zhihua Xia
Jian Weng
40
41
0
18 Sep 2023
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in
  Question Answering Models
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Livska
Tomávs Kovciský
E. Gribovskaya
Tayfun Terzi
Eren Sezener
...
Susannah Young
Ellen Gilsenan-McMahon
Sophia Austin
Phil Blunsom
Angeliki Lazaridou
KELM
220
89
0
23 May 2022
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
255
273
0
01 Feb 2021
1