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  4. Cited By
Learning to Reject with a Fixed Predictor: Application to
  Decontextualization

Learning to Reject with a Fixed Predictor: Application to Decontextualization

22 January 2023
Christopher Mohri
D. Andor
Eunsol Choi
Michael Collins
    BDL
ArXivPDFHTML

Papers citing "Learning to Reject with a Fixed Predictor: Application to Decontextualization"

17 / 17 papers shown
Title
Conformal Linguistic Calibration: Trading-off between Factuality and Specificity
Conformal Linguistic Calibration: Trading-off between Factuality and Specificity
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
81
1
0
26 Feb 2025
Learning to Route LLMs with Confidence Tokens
Learning to Route LLMs with Confidence Tokens
Yu-Neng Chuang
Helen Zhou
Prathusha Kameswara Sarma
Parikshit Gopalan
John Boccio
Sara Bolouki
Xia Hu
25
0
0
17 Oct 2024
Multi-Label Learning with Stronger Consistency Guarantees
Multi-Label Learning with Stronger Consistency Guarantees
Anqi Mao
M. Mohri
Yutao Zhong
41
5
0
18 Jul 2024
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for
  Learning to Defer
Realizable HHH-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao
M. Mohri
Yutao Zhong
38
8
0
18 Jul 2024
Cardinality-Aware Set Prediction and Top-$k$ Classification
Cardinality-Aware Set Prediction and Top-kkk Classification
Corinna Cortes
Anqi Mao
Christopher Mohri
M. Mohri
Yutao Zhong
30
5
0
09 Jul 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses
A Universal Growth Rate for Learning with Smooth Surrogate Losses
Anqi Mao
M. Mohri
Yutao Zhong
27
6
0
09 May 2024
Top-$k$ Classification and Cardinality-Aware Prediction
Top-kkk Classification and Cardinality-Aware Prediction
Anqi Mao
M. Mohri
Yutao Zhong
20
7
0
28 Mar 2024
Regression with Multi-Expert Deferral
Regression with Multi-Expert Deferral
Anqi Mao
M. Mohri
Yutao Zhong
21
11
0
28 Mar 2024
$H$-Consistency Guarantees for Regression
HHH-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
23
9
0
28 Mar 2024
Learning to Decode Collaboratively with Multiple Language Models
Learning to Decode Collaboratively with Multiple Language Models
Zejiang Shen
Hunter Lang
Bailin Wang
Yoon Kim
David Sontag
39
28
0
06 Mar 2024
Language Models with Conformal Factuality Guarantees
Language Models with Conformal Factuality Guarantees
Christopher Mohri
Tatsunori Hashimoto
HILM
34
33
0
15 Feb 2024
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and
  Algorithms
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
Anqi Mao
M. Mohri
Yutao Zhong
27
23
0
23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based
  Multi-Class Abstention
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao
M. Mohri
Yutao Zhong
19
22
0
23 Oct 2023
Learning to Make Adherence-Aware Advice
Learning to Make Adherence-Aware Advice
Guanting Chen
Xiaocheng Li
Chunlin Sun
Hanzhao Wang
17
10
0
01 Oct 2023
Will this Question be Answered? Question Filtering via Answer Model
  Distillation for Efficient Question Answering
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
Siddhant Garg
Alessandro Moschitti
27
26
0
14 Sep 2021
A Finer Calibration Analysis for Adversarial Robustness
A Finer Calibration Analysis for Adversarial Robustness
Pranjal Awasthi
Anqi Mao
M. Mohri
Yutao Zhong
AAML
46
30
0
04 May 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1