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08/29/2023
TaskLAMA: Probing the Complex Task Understanding of Language Models
Structured Complex Task Decomposition (SCTD) is the problem of breaking ...
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06/13/2023
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
Automated reasoning with unstructured natural text is a key requirement ...
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02/11/2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
Standard empirical risk minimization (ERM) training can produce deep neu...
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01/26/2023
Understanding Finetuning for Factual Knowledge Extraction from Language Models
Language models (LMs) pretrained on large corpora of text from the web h...
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12/20/2022
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
Remarkable progress has been made on automated reasoning with knowledge ...
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05/20/2022
Tackling Provably Hard Representative Selection via Graph Neural Networks
Representative selection (RS) is the problem of finding a small subset o...
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02/06/2022
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors
Interactive recommender systems (RSs) allow users to express intent, pre...
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01/02/2021
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering
Many Question-Answering (QA) datasets contain unanswerable questions, bu...
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10/11/2020
Do Language Embeddings Capture Scales?
Pretrained Language Models (LMs) have been shown to possess significant ...
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06/04/2019
