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07/01/2023
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Natural Language Feedback (NLF) is an increasingly popular avenue to ali...
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05/24/2023
Editing Commonsense Knowledge in GPT
Memory editing methods for updating encyclopedic knowledge in transforme...
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05/24/2023
Aligning Language Models to User Opinions
An important aspect of developing LLMs that interact with humans is to a...
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05/24/2023
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts
Representing texts as information about entities has long been deemed ef...
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05/15/2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
Despite their unprecedented success, even the largest language models ma...
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03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
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05/25/2022
Conditional set generation using Seq2seq models
Conditional set generation learns a mapping from an input sequence of to...
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01/16/2022
Memory-assisted prompt editing to improve GPT-3 after deployment
Large LMs such as GPT-3, while powerful, are not immune to mistakes, but...
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12/16/2021
Improving scripts with a memory of natural feedback
How can an end-user provide feedback if a deployed structured prediction...
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12/15/2021
Interscript: A dataset for interactive learning of scripts through error feedback
How can an end-user provide feedback if a deployed structured prediction...
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04/18/2021
Improving Neural Model Performance through Natural Language Feedback on Their Explanations
A class of explainable NLP models for reasoning tasks support their deci...
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04/16/2021
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models
Scripts - standardized event sequences describing typical everyday activ...
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06/12/2020
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations
We present a new knowledge-base of hasPart relationships, extracted from...
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09/10/2019
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
Our goal is to better comprehend procedural text, e.g., a paragraph abou...
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09/10/2019
WIQA: A dataset for "What if..." reasoning over procedural text
We introduce WIQA, the first large-scale dataset of "What if..." questio...
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09/04/2019
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
AI has achieved remarkable mastery over games such as Chess, Go, and Pok...
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09/02/2019
Know2Look: Commonsense Knowledge for Visual Search
With the rise in popularity of social media, images accompanied by conte...
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09/02/2019
VISIR: Visual and Semantic Image Label Refinement
The social media explosion has populated the Internet with a wealth of i...
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06/21/2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Our goal is procedural text comprehension, namely tracking how the prope...
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08/29/2018
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge
Comprehending procedural text, e.g., a paragraph describing photosynthes...
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05/17/2018
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension
We present a new dataset and models for comprehending paragraphs about p...
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04/15/2018
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text
Our goal is to answer questions about paragraphs describing processes (e...
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09/26/2016
Learning Language-Visual Embedding for Movie Understanding with Natural-Language
Learning a joint language-visual embedding has a number of very appealin...
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05/12/2016
Movie Description
Audio Description (AD) provides linguistic descriptions of movies and al...
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01/12/2015
