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05/19/2023
Characterizing tradeoffs between teaching via language and demonstrations in multi-agent systems
Humans teach others about the world through language and demonstration. ...
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04/17/2023
Learning to Compress Prompts with Gist Tokens
Prompting is now the primary way to utilize the multitask capabilities o...
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09/30/2022
Improving Policy Learning via Language Dynamics Distillation
Recent work has shown that augmenting environments with language descrip...
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04/18/2022
Active Learning Helps Pretrained Models Learn the Intended Task
Models can fail in unpredictable ways during deployment due to task ambi...
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02/17/2022
Improving Intrinsic Exploration with Language Abstractions
Reinforcement learning (RL) agents are particularly hard to train when r...
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10/11/2021
Calibrate your listeners! Robust communication-based training for pragmatic speakers
To be good conversational partners, natural language processing (NLP) sy...
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06/04/2021
Emergent Communication of Generalizations
To build agents that can collaborate effectively with others, recent res...
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06/24/2020
Compositional Explanations of Neurons
We describe a procedure for explaining neurons in deep representations b...
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05/31/2020
Learning to refer informatively by amortizing pragmatic reasoning
A hallmark of human language is the ability to effectively and efficient...
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11/06/2019
Shaping Visual Representations with Language for Few-shot Classification
Language is designed to convey useful information about the world, thus ...
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04/03/2019