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Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
v1v2v3v4 (latest)

Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs

28 February 2025
Xiaomin Li
Zhou Yu
Ziji Zhang
Yingying Zhuang
Siyang Song
Narayanan Sadagopan
Anurag Beniwal
    HILM
ArXiv (abs)PDFHTML

Papers citing "Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs"

34 / 34 papers shown
Title
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLMVLMOffRLAI4TSLRM
380
1,970
0
22 Jan 2025
Improving Uncertainty Quantification in Large Language Models via
  Semantic Embeddings
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
Yashvir S. Grewal
Edwin V. Bonilla
Thang D. Bui
UQCV
79
9
0
30 Oct 2024
Rule-based Data Selection for Large Language Models
Rule-based Data Selection for Large Language Models
Xiaomin Li
Mingye Gao
Zhiwei Zhang
Chang Yue
Hong Hu
70
6
0
07 Oct 2024
On the consistent reasoning paradox of intelligence and optimal trust in
  AI: The power of Í don't know'
On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of Í don't know'
Alexander Bastounis
Paolo Campodonico
M. Schaar
Ben Adcock
Anders C. Hansen
LRM
53
2
0
05 Aug 2024
LLM Internal States Reveal Hallucination Risk Faced With a Query
LLM Internal States Reveal Hallucination Risk Faced With a Query
Ziwei Ji
Delong Chen
Etsuko Ishii
Samuel Cahyawijaya
Yejin Bang
Bryan Wilie
Pascale Fung
HILMLRM
89
33
0
03 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
110
51
0
22 Jun 2024
Detecting Hallucinations in Large Language Model Generation: A Token
  Probability Approach
Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
Ernesto Quevedo
Jorge Yero
Rachel Koerner
Pablo Rivas
Tomas Cerny
HILM
64
16
0
30 May 2024
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information
  Needs in Large Language Models
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models
Tong Zhang
Peixin Qin
Yang Deng
Chen Huang
Wenqiang Lei
Junhong Liu
Dingnan Jin
Hongru Liang
Tat-Seng Chua
60
13
0
20 May 2024
CLARINET: Augmenting Language Models to Ask Clarification Questions for
  Retrieval
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
Yizhou Chi
Jessy Lin
Kevin Lin
Dan Klein
RALM
50
7
0
28 Apr 2024
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised
  Approach
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
Linyu Liu
Yu Pan
Xiaocheng Li
Guanting Chen
93
38
0
24 Apr 2024
Aligning Language Models to Explicitly Handle Ambiguity
Aligning Language Models to Explicitly Handle Ambiguity
Sungmin Cho
Youna Kim
Cheonbok Park
Junyeob Kim
Choonghyun Park
Kang Min Yoo
Sang-goo Lee
Taeuk Kim
64
21
0
18 Apr 2024
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs
Michael J.Q. Zhang
Eunsol Choi
79
37
0
16 Nov 2023
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRMHILM
130
901
0
09 Nov 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
396
12,044
0
18 Jul 2023
Generating with Confidence: Uncertainty Quantification for Black-box
  Large Language Models
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
HILM
187
153
0
30 May 2023
Do Large Language Models Know What They Don't Know?
Do Large Language Models Know What They Don't Know?
Zhangyue Yin
Qiushi Sun
Qipeng Guo
Jiawen Wu
Xipeng Qiu
Xuanjing Huang
ELMAI4MH
78
163
0
29 May 2023
Selectively Answering Ambiguous Questions
Selectively Answering Ambiguous Questions
Jeremy R. Cole
Michael J.Q. Zhang
D. Gillick
Julian Martin Eisenschlos
Bhuwan Dhingra
Jacob Eisenstein
UQLM
88
30
0
24 May 2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
Dongryeol Lee
Segwang Kim
Minwoo Lee
Hwanhee Lee
Joonsuk Park
Sang-Woo Lee
Kyomin Jung
UQLM
76
13
0
23 May 2023
Hallucinations in Large Multilingual Translation Models
Hallucinations in Large Multilingual Translation Models
Nuno M. Guerreiro
Duarte M. Alves
Jonas Waldendorf
Barry Haddow
Alexandra Birch
Pierre Colombo
André F.T. Martins
VLMHILMLRM
182
152
0
28 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,699
0
15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,437
0
27 Feb 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation
  in Natural Language Generation
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn
Y. Gal
Sebastian Farquhar
UQLM
201
308
0
19 Feb 2023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on
  Reasoning, Hallucination, and Interactivity
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Yejin Bang
Samuel Cahyawijaya
Nayeon Lee
Wenliang Dai
Dan Su
...
Tiezheng Yu
Willy Chung
Quyet V. Do
Yan Xu
Pascale Fung
ReLMLRM
124
1,386
0
08 Feb 2023
CLAM: Selective Clarification for Ambiguous Questions with Generative
  Language Models
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models
Lorenz Kuhn
Y. Gal
Sebastian Farquhar
77
41
0
15 Dec 2022
Towards Improving Faithfulness in Abstractive Summarization
Towards Improving Faithfulness in Abstractive Summarization
Preslav Nakov
Mingzhe Li
Xin Gao
Xiangliang Zhang
HILM
58
27
0
04 Oct 2022
Language Models (Mostly) Know What They Know
Language Models (Mostly) Know What They Know
Saurav Kadavath
Tom Conerly
Amanda Askell
T. Henighan
Dawn Drain
...
Nicholas Joseph
Benjamin Mann
Sam McCandlish
C. Olah
Jared Kaplan
ELM
122
830
0
11 Jul 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILMLRM
228
2,423
0
08 Feb 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&RoLRMAI4CEReLM
843
9,644
0
28 Jan 2022
Types of Out-of-Distribution Texts and How to Detect Them
Types of Out-of-Distribution Texts and How to Detect Them
Udit Arora
William Huang
He He
OODD
262
101
0
14 Sep 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
877
42,379
0
28 May 2020
Unsupervised Quality Estimation for Neural Machine Translation
Unsupervised Quality Estimation for Neural Machine Translation
M. Fomicheva
Shuo Sun
Lisa Yankovskaya
Frédéric Blain
Francisco Guzmán
Mark Fishel
Nikolaos Aletras
Vishrav Chaudhary
Lucia Specia
UQLM
87
209
0
21 May 2020
AmbigQA: Answering Ambiguous Open-domain Questions
AmbigQA: Answering Ambiguous Open-domain Questions
Sewon Min
Julian Michael
Hannaneh Hajishirzi
Luke Zettlemoyer
107
317
0
22 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,301
0
27 Aug 2019
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
260
1,140
0
25 Jul 2012
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