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05/23/2023
Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models
Large language models are able to learn new tasks in context, where they...
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10/21/2022
Decoding a Neural Retriever's Latent Space for Query Suggestion
Neural retrieval models have superseded classic bag-of-words methods suc...
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09/30/2022
Zero-Shot Retrieval with Search Agents and Hybrid Environments
Learning to search is the task of building artificial agents that learn ...
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09/01/2021
Boosting Search Engines with Interactive Agents
Can machines learn to use a search engine as an interactive tool for fin...
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12/01/2020
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
We introduce CLIMATE-FEVER, a new publicly available dataset for verific...
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12/01/2020
ClimaText: A Dataset for Climate Change Topic Detection
Climate change communication in the mass media and other textual sources...
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11/11/2019
Meta Answering for Machine Reading
We investigate a framework for machine reading, inspired by real world i...
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09/27/2018
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
We propose a method to efficiently learn diverse strategies in reinforce...
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05/25/2018
Zero-Shot Dual Machine Translation
Neural Machine Translation (NMT) systems rely on large amounts of parall...
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01/23/2018
Analyzing Language Learned by an Active Question Answering Agent
We analyze the language learned by an agent trained with reinforcement l...
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05/22/2017
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
We frame Question Answering as a Reinforcement Learning task, an approac...
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09/02/2013
Scalable Probabilistic Entity-Topic Modeling
We present an LDA approach to entity disambiguation. Each topic is assoc...
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08/22/2000