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06/28/2023
Towards Measuring the Representation of Subjective Global Opinions in Language Models
Large language models (LLMs) may not equitably represent diverse global ...
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10/11/2022
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
No-press Diplomacy is a complex strategy game involving both cooperation...
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12/14/2021
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
We consider the task of building strong but human-like policies in multi...
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10/06/2021
No-Press Diplomacy from Scratch
Prior AI successes in complex games have largely focused on settings wit...
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02/20/2021
Physical Reasoning Using Dynamics-Aware Models
A common approach to solving physical-reasoning tasks is to train a valu...
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10/06/2020
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Prior AI breakthroughs in complex games have focused on either the purel...
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07/27/2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
The combination of deep reinforcement learning and search at both traini...
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04/22/2020
Residual Energy-Based Models for Text Generation
Text generation is ubiquitous in many NLP tasks, from summarization, to ...
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09/03/2019
Language Models as Knowledge Bases?
Recent progress in pretraining language models on large textual corpora ...
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08/15/2019
PHYRE: A New Benchmark for Physical Reasoning
Understanding and reasoning about physics is an important ability of int...
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06/07/2019
Real or Fake? Learning to Discriminate Machine from Human Generated Text
Recent advances in generative modeling of text have demonstrated remarka...
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04/20/2018
Lightweight Adaptive Mixture of Neural and N-gram Language Models
It is often the case that the best performing language model is an ensem...
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10/26/2017
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models
We develop streaming keyword spotting systems using a recurrent neural n...
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07/15/2016