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08/08/2023
On Monotonic Aggregation for Open-domain QA
Question answering (QA) is a critical task for speech-based retrieval fr...
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06/07/2023
When to Read Documents or QA History: On Unified and Selective Open-domain QA
This paper studies the problem of open-domain question answering, with t...
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04/06/2023
Revisiting Dense Retrieval with Unanswerable Counterfactuals
The retriever-reader framework is popular for open-domain question answe...
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02/07/2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
Recently, Language Models (LMs) instruction-tuned on multiple tasks, als...
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01/26/2023
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic
To apply reinforcement learning (RL) to real-world applications, agents ...
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04/27/2022
Plug-and-Play Adaptation for Continuously-updated QA
Language models (LMs) have shown great potential as implicit knowledge b...
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03/21/2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Domain generalization (DG) aims to learn a generalized model to an unsee...
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09/27/2021
Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation
In this paper, we present a semi-autonomous teleoperation framework for ...
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07/07/2021
Robustifying Multi-hop QA through Pseudo-Evidentiality Training
This paper studies the bias problem of multi-hop question answering mode...
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02/17/2021
Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts
Domain generalization aims to learn a generalizable model to unseen targ...
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10/24/2020
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
In this paper, we consider stochastic multi-armed bandits (MABs) with he...
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01/07/2020
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map
Visual odometry is an essential key for a localization module in SLAM sy...
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02/14/2019
Categorical Metadata Representation for Customized Text Classification
The performance of text classification has improved tremendously using i...
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01/31/2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning
In this paper, we present a new class of Markov decision processes (MDPs...
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06/14/2018
Translations as Additional Contexts for Sentence Classification
In sentence classification tasks, additional contexts, such as the neigh...
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05/22/2018
Maximum Causal Tsallis Entropy Imitation Learning
In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) ...
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09/19/2017
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
In this paper, a sparse Markov decision process (MDP) with novel causal ...
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09/03/2017