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Evaluating Generative Ad Hoc Information Retrieval

Evaluating Generative Ad Hoc Information Retrieval

8 November 2023
Lukas Gienapp
Harrisen Scells
Niklas Deckers
Janek Bevendorff
Shuai Wang
Johannes Kiesel
S. Syed
Maik Frobe
Guide Zucoon
Benno Stein
Matthias Hagen
Martin Potthast
    RALM
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Papers citing "Evaluating Generative Ad Hoc Information Retrieval"

15 / 15 papers shown
Title
Neural Corrective Machine Unranking
Neural Corrective Machine Unranking
Jingrui Hou
Axel Finke
Georgina Cosma
MU
30
1
0
13 Nov 2024
Evaluation of Retrieval-Augmented Generation: A Survey
Evaluation of Retrieval-Augmented Generation: A Survey
Hao Yu
Aoran Gan
Kai Zhang
Shiwei Tong
Qi Liu
Zhaofeng Liu
3DV
57
78
0
13 May 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
54
36
0
23 Apr 2024
Exploring Autonomous Agents through the Lens of Large Language Models: A
  Review
Exploring Autonomous Agents through the Lens of Large Language Models: A Review
Saikat Barua
LM&MA
LLMAG
25
14
0
05 Apr 2024
FeB4RAG: Evaluating Federated Search in the Context of Retrieval
  Augmented Generation
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
Shuai Wang
Ekaterina Khramtsova
Shengyao Zhuang
Guido Zuccon
18
11
0
19 Feb 2024
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
Daman Arora
Anush Kini
Sayak Ray Chowdhury
Nagarajan Natarajan
Gaurav Sinha
Amit Sharma
RALM
60
16
0
31 Oct 2023
Large Language Models are Built-in Autoregressive Search Engines
Large Language Models are Built-in Autoregressive Search Engines
Noah Ziems
W. Yu
Zhihan Zhang
Meng-Long Jiang
KELM
59
39
0
16 May 2023
Leveraging Large Language Models for Multiple Choice Question Answering
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson
Christopher Rytting
David Wingate
ELM
123
181
0
22 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
212
318
0
21 Sep 2022
Human Interpretation of Saliency-based Explanation Over Text
Human Interpretation of Saliency-based Explanation Over Text
Hendrik Schuff
Alon Jacovi
Heike Adel
Yoav Goldberg
Ngoc Thang Vu
MILM
XAI
FAtt
144
38
0
27 Jan 2022
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy
  Claims, Previously Fact-Checked Claims, and Fake News
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov
Giovanni Da San Martino
Tamer Elsayed
Alberto Barrón-Cedeño
Rubén Míguez
...
Gautam Kishore Shahi
Julia Maria Struß
Thomas Mandl
Mucahid Kutlu
Yavuz Selim Kartal
71
89
0
23 Sep 2021
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
Thibault Formal
Carlos Lassance
Benjamin Piwowarski
S. Clinchant
194
184
0
21 Sep 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A
  Survey
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
122
90
0
30 Apr 2021
Overview of the TREC 2020 deep learning track
Overview of the TREC 2020 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
51
362
0
15 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
1