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03/06/2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Open-ended learning methods that automatically generate a curriculum of ...
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10/26/2022
Large language models are not zero-shot communicators
Despite widespread use of LLMs as conversational agents, evaluations of ...
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05/31/2022
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions
The successes of deep Reinforcement Learning (RL) are limited to setting...
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05/22/2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Large pre-trained language models have been shown to store factual knowl...
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04/16/2020
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Natural Language Inference (NLI) datasets contain annotation artefacts r...
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12/04/2018
e-SNLI: Natural Language Inference withNatural Language Explanations
In order for machine learning to garner widespread public adoption, mode...
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11/20/2018
