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05/07/2023
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Large Language Models (LLMs) can achieve strong performance on many task...
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08/26/2022
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
We present the results of the NLP Community Metasurvey. Run from May to ...
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05/27/2022
Nearest Neighbor Zero-Shot Inference
We introduce kNN-Prompt, a simple and effective technique to use k-neare...
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09/10/2021
Asking It All: Generating Contextualized Questions for any Semantic Role
Asking questions about a situation is an inherent step towards understan...
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06/12/2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Many commonsense reasoning NLP tasks involve choosing between one or mor...
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04/29/2020
Asking without Telling: Exploring Latent Ontologies in Contextual Representations
The success of pretrained contextual encoders, such as ELMo and BERT, ha...
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04/22/2020
AmbigQA: Answering Ambiguous Open-domain Questions
Ambiguity is inherent to open-domain question answering; especially when...
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11/08/2019
Crowdsourcing a High-Quality Gold Standard for QA-SRL
Question-answer driven Semantic Role Labeling (QA-SRL) has been proposed...
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05/02/2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
In the last year, new models and methods for pretraining and transfer le...
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05/14/2018
Large-Scale QA-SRL Parsing
We present a new large-scale corpus of Question-Answer driven Semantic R...
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04/20/2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
For natural language understanding (NLU) technology to be maximally usef...
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11/16/2017