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Conformal Language Modeling

Conformal Language Modeling

16 June 2023
Victor Quach
Adam Fisch
Tal Schuster
Adam Yala
J. Sohn
Tommi Jaakkola
Regina Barzilay
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Papers citing "Conformal Language Modeling"

31 / 31 papers shown
Title
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
Trilok Padhi
R. Kaur
Adam D. Cobb
Manoj Acharya
Anirban Roy
Colin Samplawski
Brian Matejek
Alexander M. Berenbeim
Nathaniel D. Bastian
Susmit Jha
28
0
0
30 Apr 2025
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
92
0
0
25 Apr 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
72
0
0
18 Mar 2025
Multivariate Conformal Prediction using Optimal Transport
Multivariate Conformal Prediction using Optimal Transport
Michal Klein
Louis Béthune
Eugène Ndiaye
Marco Cuturi
OT
64
3
0
05 Feb 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
108
2
0
03 Jan 2025
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
106
3
0
09 Oct 2024
Conformal Structured Prediction
Conformal Structured Prediction
Botong Zhang
Shuo Li
Osbert Bastani
35
0
0
08 Oct 2024
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Kemal Kurniawan
Bernhard Schölkopf
Michael Muehlebach
35
0
0
02 Oct 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
LM&MA
77
3
0
24 Sep 2024
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of
  Audio-Guided LLM-Based Robot Navigation
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation
Xingpeng Sun
Yiran Zhang
Xindi Tang
Amrit Singh Bedi
Aniket Bera
50
4
0
03 Aug 2024
Building a stable classifier with the inflated argmax
Building a stable classifier with the inflated argmax
Jake A. Soloff
Rina Foygel Barber
Rebecca Willett
114
2
0
22 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
53
1
0
20 May 2024
Conformal Alignment: Knowing When to Trust Foundation Models with
  Guarantees
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
Yu Gui
Ying Jin
Zhimei Ren
MedIm
38
18
0
16 May 2024
Multicalibration for Confidence Scoring in LLMs
Multicalibration for Confidence Scoring in LLMs
Gianluca Detommaso
Martín Bertrán
Riccardo Fogliato
Aaron Roth
32
12
0
06 Apr 2024
CONFLARE: CONFormal LArge language model REtrieval
CONFLARE: CONFormal LArge language model REtrieval
Pouria Rouzrokh
S. Faghani
Cooper Gamble
Moein Shariatnia
Bradley J. Erickson
3DV
RALM
42
2
0
04 Apr 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty
Melkior Ornik
Katherine Driggs-Campbell
LRM
57
9
0
25 Mar 2024
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of
  Large Language Models
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Thomas P. Zollo
Todd Morrill
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
43
8
0
22 Nov 2023
Conformal Prediction for Deep Classifier via Label Ranking
Conformal Prediction for Deep Classifier via Label Ranking
Jianguo Huang
Huajun Xi
Linjun Zhang
Huaxiu Yao
Yue Qiu
Hongxin Wei
39
21
0
10 Oct 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model
  Planners
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
...
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
LM&Ro
64
219
0
04 Jul 2023
Conformal Nucleus Sampling
Conformal Nucleus Sampling
Shauli Ravfogel
Carlos Wert Carvajal
M.F. Eggl
UQLM
67
20
0
04 May 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,273
0
21 Mar 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
102
125
0
03 Oct 2021
Challenges in Detoxifying Language Models
Challenges in Detoxifying Language Models
Johannes Welbl
Amelia Glaese
J. Uesato
Sumanth Dathathri
John F. J. Mellor
Lisa Anne Hendricks
Kirsty Anderson
Pushmeet Kohli
Ben Coppin
Po-Sen Huang
LM&MA
250
193
0
15 Sep 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
189
69
0
18 Apr 2021
Few-shot Conformal Prediction with Auxiliary Tasks
Few-shot Conformal Prediction with Auxiliary Tasks
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
184
53
0
17 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
187
186
0
07 Jan 2021
Reducing conversational agents' overconfidence through linguistic
  calibration
Reducing conversational agents' overconfidence through linguistic calibration
Sabrina J. Mielke
Arthur Szlam
Emily Dinan
Y-Lan Boureau
209
154
0
30 Dec 2020
Improving Factual Completeness and Consistency of Image-to-Text
  Radiology Report Generation
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura
Yuhao Zhang
Emily Bao Tsai
C. Langlotz
Dan Jurafsky
MedIm
154
156
0
20 Oct 2020
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
290
0
17 Mar 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
184
3,513
0
10 Jun 2015
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