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Question Answering
ServiceNow Research
Question Answering
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
Large Language Models (LLMs) are trained on vast amounts of data, most of which is automatically scraped from the internet. This data …
João Monteiro
,
Pierre-André Noël
,
Étienne Marcotte
,
Sai Rajeswar Mudumba
,
Valentina Zantedeschi
,
David Vazquez
,
Nicolas Chapados
,
Christopher Pal
,
Perouz Taslakian
NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2024.
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Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Retriever-augmented instruction-following models are attractive alternatives to fine-tuned approaches for information-seeking tasks …
Vaibhav Adlakha
,
Parishad BehnamGhader
,
Xing Han Lu
,
Nicholas Meade
,
Siva Reddy
Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
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TopiOCQA: Open-domain Conversational Question Answering with Topic Switching
In a conversational question answering scenario, a questioner seeks to extract information about a topic through a series of …
Vaibhav Adlakha
,
Shehzaad Dhuliawala
,
Kaheer Suleman
,
Harm de Vries
,
Siva Reddy
Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
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Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
We examine the problem of question answering over knowledge graphs, focusing on simple questions that can be answered by the lookup of …
Salman Mohammed
,
Peng Shi
,
Jimmy Li
North American Chapter of the Association for Computational Linguistics (NAACL), 2018.
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Coarse-to-Fine Question Answering for Long Documents
We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving …
Eunsol Choi
,
Daniel Hewlett
,
Jakob Uszkoreit
,
Illia Polosukhin
,
Alexandre Lacoste
,
Jonathan Berant
Annual Meeting of the Association for Computational Linguistics (ACL), 2016.
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