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08/08/2023
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
The legality of training language models (LMs) on copyrighted or otherwi...
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05/23/2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Evaluating the factuality of long-form text generated by large language ...
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01/30/2023
REPLUG: Retrieval-Augmented Black-Box Language Models
We introduce REPLUG, a retrieval-augmented language modeling framework t...
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12/19/2022
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations
Although large language models can be prompted for both zero- and few-sh...
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12/02/2022
Nonparametric Masked Language Modeling
Existing language models (LMs) predict tokens with a softmax over a fini...
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11/30/2022
CREPE: Open-Domain Question Answering with False Presuppositions
Information seeking users often pose questions with false presupposition...
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10/22/2022
Exploring The Landscape of Distributional Robustness for Question Answering Models
We conduct a large empirical evaluation to investigate the landscape of ...
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10/07/2022
Measuring and Narrowing the Compositionality Gap in Language Models
We investigate the ability of language models to perform compositional r...
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07/02/2022
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
In an information-seeking conversation, a user converses with an agent t...
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05/25/2022
Revisiting Calibration for Question Answering
Model calibration aims to adjust (calibrate) models' confidence so that ...
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02/25/2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Large language models (LMs) are able to in-context learn – perform a new...
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10/29/2021
MetaICL: Learning to Learn In Context
We introduce MetaICL (Meta-training for In-Context Learning), a new meta...
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08/09/2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
We introduce a noisy channel approach for language model prompting in fe...
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07/05/2021
FaVIQ: FAct Verification from Information-seeking Questions
Despite significant interest in developing general purpose fact checking...
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04/17/2021
Joint Passage Ranking for Diverse Multi-Answer Retrieval
We study multi-answer retrieval, an under-explored problem that requires...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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10/21/2020
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
State-of-the-art Machine Reading Comprehension (MRC) models for Open-dom...
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10/06/2020
Efficient One-Pass End-to-End Entity Linking for Questions
We present ELQ, a fast end-to-end entity linking model for questions, wh...
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04/22/2020
AmbigQA: Answering Ambiguous Open-domain Questions
Ambiguity is inherent to open-domain question answering; especially when...
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04/10/2020
Dense Passage Retrieval for Open-Domain Question Answering
Open-domain question answering relies on efficient passage retrieval to ...
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11/10/2019
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
This paper presents a general approach for open-domain question answerin...
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09/25/2019
Question Answering is a Format; When is it Useful?
Recent years have seen a dramatic expansion of tasks and datasets posed ...
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09/11/2019
A Discrete Hard EM Approach for Weakly Supervised Question Answering
Many question answering (QA) tasks only provide weak supervision for how...
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06/07/2019
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Multi-hop Reading Comprehension (RC) requires reasoning and aggregation ...
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06/07/2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Multi-hop reading comprehension (RC) questions are challenging because t...
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05/21/2018
Efficient and Robust Question Answering from Minimal Context over Documents
Neural models for question answering (QA) over documents have achieved s...
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11/06/2017
Neural Speed Reading via Skim-RNN
Inspired by the principles of speed reading, we introduce Skim-RNN, a re...
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02/07/2017
Question Answering through Transfer Learning from Large Fine-grained Supervision Data
We show that the task of question answering (QA) can significantly benef...
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06/14/2016
