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C-RAG: Certified Generation Risks for Retrieval-Augmented Language
  Models

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

5 February 2024
Mintong Kang
Nezihe Merve Gürel
Ning Yu
D. Song
Yue Liu
ArXivPDFHTML

Papers citing "C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models"

11 / 11 papers shown
Title
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
559
4
0
09 Oct 2024
Compressing Context to Enhance Inference Efficiency of Large Language
  Models
Compressing Context to Enhance Inference Efficiency of Large Language Models
Yucheng Li
Bo Dong
Chenghua Lin
Frank Guerin
28
61
0
09 Oct 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT
  Models
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Wei Ping
Weixin Chen
Hengzhi Pei
Chulin Xie
Mintong Kang
...
Zinan Lin
Yuk-Kit Cheng
Sanmi Koyejo
D. Song
Yue Liu
55
405
0
20 Jun 2023
MTEB: Massive Text Embedding Benchmark
MTEB: Massive Text Embedding Benchmark
Niklas Muennighoff
Nouamane Tazi
L. Magne
Nils Reimers
215
381
0
13 Oct 2022
Adaptive Conformal Predictions for Time Series
Adaptive Conformal Predictions for Time Series
Margaux Zaffran
Aymeric Dieuleveut
Olivier Féron
Y. Goude
Julie Josse
AI4TS
122
131
0
15 Feb 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
45
679
0
16 Dec 2021
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
182
127
0
03 Oct 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
229
190
0
07 Jan 2021
Approximate Nearest Neighbor Negative Contrastive Learning for Dense
  Text Retrieval
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong
Chenyan Xiong
Ye Li
Kwok-Fung Tang
Jialin Liu
Paul N. Bennett
Junaid Ahmed
Arnold Overwijk
95
1,207
0
01 Jul 2020
The E2E Dataset: New Challenges For End-to-End Generation
The E2E Dataset: New Challenges For End-to-End Generation
Jekaterina Novikova
Ondrej Dusek
Verena Rieser
67
456
0
28 Jun 2017
Survey of the State of the Art in Natural Language Generation: Core
  tasks, applications and evaluation
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt
E. Krahmer
LM&MA
ELM
60
814
0
29 Mar 2017
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