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12/20/2022
When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories
Despite their impressive performance on diverse tasks, large language mo...
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10/25/2022
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
We introduce RoMQA, the first benchmark for robust, multi-evidence, mult...
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10/13/2022
M2D2: A Massively Multi-domain Language Modeling Dataset
We present M2D2, a fine-grained, massively multi-domain corpus for study...
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09/30/2022
Improving Policy Learning via Language Dynamics Distillation
Recent work has shown that augmenting environments with language descrip...
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02/17/2022
Improving Intrinsic Exploration with Language Abstractions
Reinforcement learning (RL) agents are particularly hard to train when r...
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10/20/2021
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
Existing work in language grounding typically study single environments....
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05/18/2021
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
Many types of text style transfer can be achieved with only small, preci...
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09/16/2020
Grounded Adaptation for Zero-shot Executable Semantic Parsing
We propose Grounded Adaptation for Zero-shot Executable Semantic Parsing...
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10/18/2019
RTFM: Generalising to Novel Environment Dynamics via Reading
Obtaining policies that can generalise to new environments in reinforcem...
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06/12/2019
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
Conversational machine reading systems help users answer high-level ques...
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06/07/2019
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Multi-hop Reading Comprehension (RC) requires reasoning and aggregation ...
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01/03/2019
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
End-to-end neural models have made significant progress in question answ...
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05/21/2018
Efficient and Robust Question Answering from Minimal Context over Documents
Neural models for question answering (QA) over documents have achieved s...
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05/19/2018
Global-Locally Self-Attentive Dialogue State Tracker
Dialogue state tracking, which estimates user goals and requests given t...
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10/31/2017
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering
Traditional models for question answering optimize using cross entropy l...
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08/31/2017
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
A significant amount of the world's knowledge is stored in relational da...
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11/05/2016
Dynamic Coattention Networks For Question Answering
Several deep learning models have been proposed for question answering. ...
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06/24/2015