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06/06/2023
Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks
Despite readily memorizing world knowledge about entities, pre-trained l...
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10/10/2022
Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts
Soft prompts have been recently proposed as a tool for adapting large fr...
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04/25/2022
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
State-of-the-art neural models typically encode document-query pairs usi...
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05/27/2021
Contrastive Fine-tuning Improves Robustness for Neural Rankers
The performance of state-of-the-art neural rankers can deteriorate subst...
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05/10/2021
Improving Factual Consistency of Abstractive Summarization via Question Answering
A commonly observed problem with the state-of-the art abstractive summar...
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04/18/2021
Generative Context Pair Selection for Multi-hop Question Answering
Compositional reasoning tasks like multi-hop question answering, require...
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02/18/2021
Entity-level Factual Consistency of Abstractive Text Summarization
A key challenge for abstractive summarization is ensuring factual consis...
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01/14/2021
Structured Prediction as Translation between Augmented Natural Languages
We propose a new framework, Translation between Augmented Natural Langua...
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12/18/2020
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Most recently, there has been significant interest in learning contextua...
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11/26/2020
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
In open-domain question answering, questions are highly likely to be amb...
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10/27/2020
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
In this work, we present a dual learning approach for unsupervised text ...
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10/12/2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
We propose an end-to-end approach for synthetic QA data generation. Our ...
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10/06/2020
Beyond [CLS] through Ranking by Generation
Generative models for Information Retrieval, where ranking of documents ...
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09/22/2020
Embedding-based Zero-shot Retrieval through Query Generation
Passage retrieval addresses the problem of locating relevant passages, u...
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09/15/2020
Augmented Natural Language for Generative Sequence Labeling
We propose a generative framework for joint sequence labeling and senten...
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05/07/2020
Learning Implicit Text Generation via Feature Matching
Generative feature matching network (GFMN) is an approach for training i...
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04/04/2019
Learning Implicit Generative Models by Matching Perceptual Features
Perceptual features (PFs) have been used with great success in tasks suc...
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05/20/2018
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
We introduce a new approach to tackle the problem of offensive language ...
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05/13/2018
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering
Coreference resolution aims to identify in a text all mentions that refe...
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11/26/2017
Improved Neural Text Attribute Transfer with Non-parallel Data
Text attribute transfer using non-parallel data requires methods that ca...
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08/14/2017
Improved Answer Selection with Pre-Trained Word Embeddings
This paper evaluates existing and newly proposed answer selection method...
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03/09/2017
A Structured Self-attentive Sentence Embedding
This paper proposes a new model for extracting an interpretable sentence...
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02/19/2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
In this work, we model abstractive text summarization using Attentional ...
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04/24/2015
