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11/30/2022
Towards True Lossless Sparse Communication in Multi-Agent Systems
Communication enables agents to cooperate to achieve their goals. Learni...
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06/30/2022
Towards Human-Agent Communication via the Information Bottleneck Principle
Emergent communication research often focuses on optimizing task-specifi...
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05/27/2022
Prototype Based Classification from Hierarchy to Fairness
Artificial neural nets can represent and classify many types of data but...
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04/20/2022
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
Recent causal probing literature reveals when language models and syntac...
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01/26/2022
Probe-Based Interventions for Modifying Agent Behavior
Neural nets are powerful function approximators, but the behavior of a g...
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01/19/2022
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication
Communication enables agents to cooperate to achieve their goals. Learni...
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08/04/2021
Emergent Discrete Communication in Semantic Spaces
Neural agents trained in reinforcement learning settings can learn to co...
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05/28/2021
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings
Neural language models exhibit impressive performance on a variety of ta...
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01/16/2020