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12/22/2022
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
Recent work has shown that fine-tuning large pre-trained language models...
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11/25/2022
Complementary Explanations for Effective In-Context Learning
Large language models (LLMs) have exhibited remarkable capabilities in l...
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12/20/2021
Efficient Large Scale Language Modeling with Mixtures of Experts
Mixture of Experts layers (MoEs) enable efficient scaling of language mo...
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11/26/2021
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
Do language models have beliefs about the world? Dennett (1995) famously...
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05/14/2021
EASE: Extractive-Abstractive Summarization with Explanations
Current abstractive summarization systems outperform their extractive co...
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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
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA
While research on explaining predictions of open-domain QA systems (ODQA...
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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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08/03/2020
DeLighT: Very Deep and Light-weight Transformer
We introduce a very deep and light-weight transformer, DeLighT, that del...
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10/05/2019
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
Interactive programming with interleaved code snippet cells and natural ...
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04/19/2019
Learning Programmatic Idioms for Scalable Semantic Parsing
Programmers typically organize executable source code using high-level c...
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08/29/2018
Mapping Language to Code in Programmatic Context
Source code is rarely written in isolation. It depends significantly on ...
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04/18/2018
Learning to Map Context-Dependent Sentences to Executable Formal Queries
We propose a context-dependent model to map utterances within an interac...
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04/27/2017
Learning a Neural Semantic Parser from User Feedback
We present an approach to rapidly and easily build natural language inte...
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04/26/2017