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06/02/2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Language models (LMs) often exhibit undesirable text generation behavior...
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12/19/2022
Continual Learning for Instruction Following from Realtime Feedback
We study the problem of continually training an instruction-following ag...
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11/29/2022
Abstract Visual Reasoning with Tangram Shapes
We introduce KiloGram, a resource for studying abstract visual reasoning...
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09/09/2021
Analysis of Language Change in Collaborative Instruction Following
We analyze language change over time in a collaborative, goal-oriented i...
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08/10/2021
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
We study continual learning for natural language instruction generation,...
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10/08/2019
Executing Instructions in Situated Collaborative Interactions
We study a collaborative scenario where a user not only instructs a syst...
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09/23/2019
NLVR2 Visual Bias Analysis
NLVR2 (Suhr et al., 2019) was designed to be robust for language bias th...
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11/01/2018
A Corpus for Reasoning About Natural Language Grounded in Photographs
We introduce a new dataset for joint reasoning about language and vision...
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05/25/2018
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
We propose a learning approach for mapping context-dependent sequential ...
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04/18/2018
Learning to Map Context-Dependent Sentences to Executable Formal Queries
We propose a context-dependent model to map utterances within an interac...
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10/02/2017