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05/26/2023
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
We propose EAR, a query Expansion And Reranking approach for improving p...
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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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05/14/2023
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing
Interactive semantic parsing based on natural language (NL) feedback, wh...
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05/09/2023
Large Language Model Programs
In recent years, large pre-trained language models (LLMs) have demonstra...
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05/04/2023
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation
We propose a new two-stage pre-training framework for video-to-text gene...
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02/16/2023
LEVER: Learning to Verify Language-to-Code Generation with Execution
The advent of large language models trained on code (code LLMs) has led ...
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02/15/2023
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Various techniques have been developed in recent years to improve dense ...
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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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12/02/2022
Nonparametric Masked Language Modeling
Existing language models (LMs) predict tokens with a softmax over a fini...
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11/29/2022
Coder Reviewer Reranking for Code Generation
Sampling diverse programs from a code language model and reranking with ...
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11/22/2022
Retrieval-Augmented Multimodal Language Modeling
Recent multimodal models such as DALL-E and CM3 have achieved remarkable...
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11/18/2022
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) ...
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11/16/2022
Task-aware Retrieval with Instructions
We study the problem of retrieval with instructions, where users of a re...
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10/25/2022
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
We introduce RoMQA, the first benchmark for robust, multi-evidence, mult...
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09/21/2022
Adapting Pretrained Text-to-Text Models for Long Text Sequences
We present an empirical study of adapting an existing pretrained text-to...
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05/24/2022
Structured Prompt Tuning
We propose structured prompt tuning, a simple and effective method to im...
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04/22/2022
Autoregressive Search Engines: Generating Substrings as Document Identifiers
Knowledge-intensive language tasks require NLP systems to both provide t...
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04/15/2022
Improving Passage Retrieval with Zero-Shot Question Generation
We propose a simple and effective re-ranking method for improving passag...
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04/12/2022
InCoder: A Generative Model for Code Infilling and Synthesis
Code is seldom written in a single left-to-right pass and is instead rep...
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12/18/2021
The Web Is Your Oyster – Knowledge-Intensive NLP against a Very Large Web Corpus
In order to address the increasing demands of real-world applications, t...
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12/14/2021
Boosted Dense Retriever
We propose DrBoost, a dense retrieval ensemble inspired by boosting. DrB...
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12/14/2021
Simple Local Attentions Remain Competitive for Long-Context Tasks
Many NLP tasks require processing long contexts beyond the length limit ...
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10/14/2021
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
With the rise of large-scale pre-trained language models, open-domain qu...
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10/14/2021
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Conventional fine-tuning of pre-trained language models tunes all model ...
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10/13/2021
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
Despite their recent popularity and well known advantages, dense retriev...
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07/28/2021
Domain-matched Pre-training Tasks for Dense Retrieval
Pre-training on larger datasets with ever increasing model size is now a...
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06/02/2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
In adversarial data collection (ADC), a human workforce interacts with a...
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04/18/2021
On the Influence of Masking Policies in Intermediate Pre-training
Current NLP models are predominantly trained through a pretrain-then-fin...
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04/12/2021
On Unifying Misinformation Detection
In this paper, we introduce UnifiedM2, a general-purpose misinformation ...
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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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01/01/2021
Multi-task Retrieval for Knowledge-Intensive Tasks
Retrieving relevant contexts from a large corpus is a crucial step for t...
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12/31/2020
Studying Strategically: Learning to Mask for Closed-book QA
Closed-book question-answering (QA) is a challenging task that requires ...
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12/31/2020
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Natural language (NL) explanations of model predictions are gaining popu...
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12/30/2020
Joint Verification and Reranking for Open Fact Checking Over Tables
Structured information is an important knowledge source for automatic ve...
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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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09/27/2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
We propose a simple and efficient multi-hop dense retrieval approach for...
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06/07/2020
Language Models as Fact Checkers?
Recent work has suggested that language models (LMs) store both common-s...
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05/22/2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Large pre-trained language models have been shown to store factual knowl...
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05/17/2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
Recent years have witnessed the burgeoning of pretrained language models...
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05/02/2020
An Imitation Game for Learning Semantic Parsers from User Interaction
Despite the widely successful applications, bootstrapping and fine-tunin...
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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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02/22/2020
Unsupervised Question Decomposition for Question Answering
We aim to improve question answering (QA) by decomposing hard questions ...
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10/11/2019
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
As a promising paradigm, interactive semantic parsing has shown to impro...
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09/10/2019
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
Our goal is to better comprehend procedural text, e.g., a paragraph abou...
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06/21/2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Our goal is procedural text comprehension, namely tracking how the prope...
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11/20/2018
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships
Many natural language questions require recognizing and reasoning with q...
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10/06/2018
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Conversational machine comprehension requires a deep understanding of th...
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09/05/2018
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
Semantic parsing from denotations faces two key challenges in model trai...
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08/29/2018
