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06/22/2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Despite recent progress in reinforcement learning (RL) from raw pixel da...
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06/09/2023
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Generative AI systems across modalities, ranging from text, image, audio...
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05/23/2023
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems
AI systems have shown impressive performance at answering questions by r...
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05/15/2023
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
Progress in NLP is increasingly measured through benchmarks; hence, cont...
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04/12/2023
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
Sign languages are used as a primary language by approximately 70 millio...
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12/21/2022
A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities
We mathematically characterize the cognitive capabilities that enable hu...
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11/22/2022
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
How do author perceptions match up to the outcomes of the peer-review pr...
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11/12/2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Mistakes in AI systems are inevitable, arising from both technical limit...
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10/26/2022
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
In visual question answering (VQA), a machine must answer a question giv...
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06/23/2022
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models
NLP models trained on text have been shown to reproduce human stereotype...
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05/13/2022
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
There are many ways to express similar things in text, which makes evalu...
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10/14/2021
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework
Reliable AI agents should be mindful of the limits of their knowledge an...
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10/10/2021
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation
Open-domain question answering answers a question based on evidence retr...
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04/27/2021
A Human-Centered Interpretability Framework Based on Weight of Evidence
In this paper, we take a human-centered approach to interpretable machin...
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04/13/2021
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval
Complex question answering often requires finding a reasoning chain that...
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11/30/2020
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions
Peer review is the backbone of academia and humans constitute a cornerst...
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11/30/2020
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences
Conference peer review constitutes a human-computation process whose imp...
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11/30/2020
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review
Modern machine learning and computer science conferences are experiencin...
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10/21/2020
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
Large-scale semantic parsing datasets annotated with logical forms have ...
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06/14/2020
Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms
We formulate the problem of learning to imitate multiple, non-determinis...
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05/28/2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
We survey 146 papers analyzing "bias" in NLP systems, finding that their...
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05/28/2020
Operationalizing the Legal Principle of Data Minimization for Personalization
Article 5(1)(c) of the European Union's General Data Protection Regulati...
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05/26/2020
Active Imitation Learning with Noisy Guidance
Imitation learning algorithms provide state-of-the-art results on many s...
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04/06/2020
Meta-Learning for Few-Shot NMT Adaptation
We present META-MT, a meta-learning approach to adapt Neural Machine Tra...
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10/30/2019
Toward Gender-Inclusive Coreference Resolution
Correctly resolving textual mentions of people fundamentally entails mak...
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10/29/2019
Weight of Evidence as a Basis for Human-Oriented Explanations
Interpretability is an elusive but highly sought-after characteristic of...
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10/01/2019
Global Voices: Crossing Borders in Automatic News Summarization
We construct Global Voices, a multilingual dataset for evaluating cross-...
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09/04/2019
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Mobile agents that can leverage help from humans can potentially accompl...
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06/21/2019
Reinforcement Learning with Convex Constraints
In standard reinforcement learning (RL), a learning agent seeks to optim...
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04/04/2019
Answer-based Adversarial Training for Generating Clarification Questions
We present an approach for generating clarification questions with the g...
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02/05/2019
Non-Monotonic Sequential Text Generation
Standard sequential generation methods assume a pre-specified generation...
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01/23/2019
Meta-Learning for Contextual Bandit Exploration
We describe MELEE, a meta-learning algorithm for learning a good explora...
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01/02/2019
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
We investigate the feasibility of learning from both fully-labeled super...
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12/13/2018
Improving fairness in machine learning systems: What do industry practitioners need?
The potential for machine learning (ML) systems to amplify social inequi...
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10/29/2018
Content Selection in Deep Learning Models of Summarization
We carry out experiments with deep learning models of summarization acro...
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07/17/2018
Contextual Memory Trees
We design and study a Contextual Memory Tree (CMT), a learning memory co...
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05/12/2018
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information
Inquiry is fundamental to communication, and machines cannot effectively...
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03/19/2018
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Attacks against machine learning systems represent a growing threat as h...
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03/01/2018
Hierarchical Imitation and Reinforcement Learning
We study the problem of learning policies over long time horizons. We pr...
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11/04/2017
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
This paper presents a summary of the first Workshop on Building Linguist...
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08/03/2017
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task
We describe the University of Maryland machine translation systems submi...
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07/24/2017
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Machine translation is a natural candidate problem for reinforcement lea...
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03/03/2017
Active Learning for Cost-Sensitive Classification
We design an active learning algorithm for cost-sensitive multiclass cla...
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11/16/2016
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives
Visual narrative is often a combination of explicit information and judi...
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06/15/2016
Logarithmic Time One-Against-Some
We create a new online reduction of multiclass classification to binary ...
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11/30/2015
Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text
The ability to comprehend wishes or desires and their fulfillment is imp...
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11/30/2015
Modeling Dynamic Relationships Between Characters in Literary Novels
Studying characters plays a vital role in computationally representing a...
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10/26/2015
Parser for Abstract Meaning Representation using Learning to Search
We develop a novel technique to parse English sentences into Abstract Me...
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03/18/2015
Learning to Search for Dependencies
We demonstrate that a dependency parser can be built using a credit assi...
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02/08/2015
