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05/11/2023
Active Retrieval Augmented Generation
Despite the remarkable ability of large language models (LMs) to compreh...
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02/08/2023
GPTScore: Evaluate as You Desire
Generative Artificial Intelligence (AI) has enabled the development of s...
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12/05/2022
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
Systems for knowledge-intensive tasks such as open-domain question answe...
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11/14/2022
SPE: Symmetrical Prompt Enhancement for Fact Probing
Pretrained language models (PLMs) have been shown to accumulate factual ...
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10/09/2022
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering
Generative question answering (QA) models generate answers to questions ...
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09/27/2022
EditEval: An Instruction-Based Benchmark for Text Improvements
Evaluation of text generation to date has primarily focused on content c...
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08/24/2022
PEER: A Collaborative Language Model
Textual content is often the output of a collaborative writing process: ...
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07/13/2022
DocCoder: Generating Code by Retrieving and Reading Docs
Natural-language-to-code models learn to generate a code snippet given a...
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07/08/2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
The information in tables can be an important complement to text, making...
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05/19/2022
Table Retrieval May Not Necessitate Table-specific Model Design
Tables are an important form of structured data for both human and machi...
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07/28/2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
This paper surveys and organizes research works in a new paradigm in nat...
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06/01/2021
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
Integrating extracted knowledge from the Web to knowledge graphs (KGs) c...
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12/02/2020
How Can We Know When Language Models Know?
Recent works have shown that language models (LM) capture different type...
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10/15/2020
GSum: A General Framework for Guided Neural Abstractive Summarization
Neural abstractive summarization models are flexible and can produce coh...
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10/13/2020
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
Language models (LMs) have proven surprisingly successful at capturing f...
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04/20/2020
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
Open-domain code generation aims to generate code in a general-purpose p...
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11/28/2019
How Can We Know What Language Models Know?
Recent work has presented intriguing results examining the knowledge con...
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11/17/2019
Graph-Revised Convolutional Network
Graph Convolutional Networks (GCNs) have received increasing attention i...
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11/10/2019
Generalizing Natural Language Analysis through Span-relation Representations
A large number of natural language processing tasks exist to analyze syn...
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08/20/2019
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention
Search results personalization has become an effective way to improve th...
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05/31/2019
