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05/27/2023
Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques
Compositional and domain generalization present significant challenges i...
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03/17/2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
Counterfactual (CF) explanations, also known as contrastive explanations...
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01/25/2023
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
While large language models (LLMs) have demonstrated strong capability i...
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05/18/2022
The Solvability of Interpretability Evaluation Metrics
Feature attribution methods are popular for explaining neural network pr...
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04/30/2022
ExSum: From Local Explanations to Model Understanding
Interpretability methods are developed to understand the working mechani...
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10/14/2021
The Irrationality of Neural Rationale Models
Neural rationale models are popular for interpretable predictions of NLP...
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02/14/2021
State-Visitation Fairness in Average-Reward MDPs
Fairness has emerged as an important concern in automated decision-makin...
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12/29/2020
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms
Active learning (AL) algorithms may achieve better performance with fewe...
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12/25/2020
RoCUS: Robot Controller Understanding via Sampling
As robots are deployed in complex situations, engineers and end users mu...
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01/16/2020
Adversarially Guided Self-Play for Adopting Social Conventions
Robotic agents must adopt existing social conventions in order to be eff...
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09/13/2019
Learning Household Task Knowledge from WikiHow Descriptions
Commonsense procedural knowledge is important for AI agents and robots t...
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09/11/2019
On Memory Mechanism in Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) extends (single-agent) reinfor...
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02/21/2019