AmbigQA: Answering Ambiguous Open-domain Questions
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AmbigQA: Answering Ambiguous Open-domain Questions

Papers citing "AmbigQA: Answering Ambiguous Open-domain Questions"

50 / 173 papers shown
Title
Model Analysis & Evaluation for Ambiguous Question Answering
Model Analysis & Evaluation for Ambiguous Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
50
2
0
21 May 2023
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive
  Critiquing
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingInternational Conference on Learning Representations (ICLR), 2023
237
518
0
19 May 2023
CREPE: Open-Domain Question Answering with False Presuppositions
CREPE: Open-Domain Question Answering with False PresuppositionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
143
64
0
30 Nov 2022
Diverse Multi-Answer Retrieval with Determinantal Point Processes
Diverse Multi-Answer Retrieval with Determinantal Point ProcessesInternational Conference on Computational Linguistics (COLING), 2022
97
2
0
29 Nov 2022
Task-aware Retrieval with Instructions
Task-aware Retrieval with InstructionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
220
108
0
16 Nov 2022
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous
  Questions in VQA
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQAAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
99
14
0
14 Nov 2022
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader
  Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
238
6
0
02 Nov 2022
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question
  Answering
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Victor Zhong
Weijia Shi
Anuj Kumar
Luke Zettlemoyer
142
28
0
25 Oct 2022
SciFact-Open: Towards open-domain scientific claim verification
SciFact-Open: Towards open-domain scientific claim verificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
143
72
0
25 Oct 2022
Claim-Dissector: An Interpretable Fact-Checking System with Joint
  Re-ranking and Veracity Prediction
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
233
24
0
28 Jul 2022
Automated Crossword Solving
Automated Crossword SolvingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
190
15
0
19 May 2022
Modeling Multi-hop Question Answering as Single Sequence Prediction
Modeling Multi-hop Question Answering as Single Sequence PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
117
32
0
18 May 2022
Answer Consolidation: Formulation and Benchmarking
Answer Consolidation: Formulation and BenchmarkingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
112
5
0
29 Apr 2022
ASQA: Factoid Questions Meet Long-Form Answers
ASQA: Factoid Questions Meet Long-Form AnswersConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
188
213
0
12 Apr 2022
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
141
79
0
26 Sep 2021
Learning with Different Amounts of Annotation: From Zero to Many Labels
Learning with Different Amounts of Annotation: From Zero to Many LabelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
127
32
0
09 Sep 2021
Memory and Knowledge Augmented Language Models for Inferring Salience in
  Long-Form Stories
Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form StoriesConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
136
23
0
08 Sep 2021
R2-D2: A Modular Baseline for Open-Domain Question Answering
R2-D2: A Modular Baseline for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
106
48
0
08 Sep 2021
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question
  Answering over Historical News Collections
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News CollectionsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
289
37
0
08 Sep 2021

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