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07/27/2023
Med-Flamingo: a Multimodal Medical Few-shot Learner
Medicine, by its nature, is a multifaceted domain that requires the synt...
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05/27/2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
Language models have been shown to exhibit positive scaling, where perfo...
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02/17/2023
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Automatic medical text simplification can assist providers with patient-...
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02/08/2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
Spurred by advancements in scale, large language models (LLMs) have demo...
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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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01/28/2023
Zero-shot causal learning
Predicting how different interventions will causally affect a specific i...
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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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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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10/17/2022
Deep Bidirectional Language-Knowledge Graph Pretraining
Pretraining a language model (LM) on text has been shown to help various...
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05/23/2022
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering
Visual understanding requires seamless integration between recognition a...
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03/29/2022
LinkBERT: Pretraining Language Models with Document Links
Language model (LM) pretraining can learn various knowledge from text co...
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01/21/2022
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Answering complex questions about textual narratives requires reasoning ...
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12/09/2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Machine learning systems deployed in the wild are often trained on a sou...
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09/14/2021
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
Training a model for grammatical error correction (GEC) requires a set o...
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06/11/2021
Break-It-Fix-It: Unsupervised Learning for Program Repair
We consider repair tasks: given a critic (e.g., compiler) that assesses ...
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04/13/2021
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
The problem of answering questions using knowledge from pre-trained lang...
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12/14/2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Distribution shifts can cause significant degradation in a broad range o...
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05/20/2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
We consider the problem of learning to repair programs from diagnostic f...
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10/30/2019
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
Automated analysis of clinical notes is attracting increasing attention....
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09/11/2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
We present CoSQL, a corpus for building cross-domain, general-purpose da...
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09/04/2019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Scientific article summarization is challenging: large, annotated corpor...
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09/04/2019
ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Scientific article summarization is challenging: large, annotated corpor...
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09/02/2019
The CL-SciSumm Shared Task 2018: Results and Key Insights
This overview describes the official results of the CL-SciSumm Shared Ta...
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07/23/2019
Overview and Results: CL-SciSumm Shared Task 2019
The CL-SciSumm Shared Task is the first medium-scale shared task on scie...
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06/05/2019
SParC: Cross-Domain Semantic Parsing in Context
We present SParC, a dataset for cross-domainSemanticParsing inContext th...
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02/16/2019
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Scientific documents rely on both mathematics and text to communicate id...
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10/11/2018
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task
Most existing studies in text-to-SQL tasks do not require generating com...
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09/24/2018
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
We present Spider, a large-scale, complex and cross-domain semantic pars...
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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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11/14/2017
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Adversarial training (AT) is a powerful regularization method for neural...
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06/20/2017
