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05/24/2023
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning
Open-world survival games pose significant challenges for AI algorithms ...
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05/03/2023
Plan, Eliminate, and Track – Language Models are Good Teachers for Embodied Agents
Pre-trained large language models (LLMs) capture procedural knowledge ab...
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04/26/2023
The Internal State of an LLM Knows When its Lying
While Large Language Models (LLMs) have shown exceptional performance in...
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09/17/2021
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
One of the challenges faced by conversational agents is their inability ...
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07/31/2020
From Data to Knowledge to Action: A Global Enabler for the 21st Century
A confluence of advances in the computer and mathematical sciences has u...
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06/17/2020
Conversational Neuro-Symbolic Commonsense Reasoning
One aspect of human commonsense reasoning is the ability to make presump...
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04/07/2020
Learning from Imperfect Annotations
Many machine learning systems today are trained on large amounts of huma...
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02/15/2020
Jelly Bean World: A Testbed for Never-Ending Learning
Machine learning has shown growing success in recent years. However, cur...
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12/12/2019
Game Design for Eliciting Distinguishable Behavior
The ability to inferring latent psychological traits from human behavior...
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10/28/2019
Learning Data Manipulation for Augmentation and Weighting
Manipulating data, such as weighting data examples or augmenting with ne...
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10/27/2019
Look-up and Adapt: A One-shot Semantic Parser
Computing devices have recently become capable of interacting with their...
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06/27/2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain
What is the relationship between sentence representations learned by dee...
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04/02/2019
Understanding language-elicited EEG data by predicting it from a fine-tuned language model
Electroencephalography (EEG) recordings of brain activity taken while pa...
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02/25/2019
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
This paper focuses on how to take advantage of external knowledge bases ...
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02/22/2019
Learning to Learn Semantic Parsers from Natural Language Supervision
As humans, we often rely on language to learn language. For example, whe...
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08/26/2018
Contextual Parameter Generation for Universal Neural Machine Translation
We propose a simple modification to existing neural machine translation ...
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03/15/2018
Sonifying stochastic walks on biomolecular energy landscapes
Translating the complex, multi-dimensional data from simulations of biom...
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09/12/2016
Joint Extraction of Events and Entities within a Document Context
Events and entities are closely related; entities are often actors or pa...
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12/01/2015
Inferring Interpersonal Relations in Narrative Summaries
Characterizing relationships between people is fundamental for the under...
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04/12/2014