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08/14/2023
Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders
In collaboration with Postpartum Support International (PSI), a non-prof...
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06/15/2023
Propagating Knowledge Updates to LMs Through Distillation
Modern language models have the capacity to store and use immense amount...
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06/14/2023
When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants
We present the first unified study of the efficiency of self-attention-b...
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05/30/2023
Concise Answers to Complex Questions: Summarization of Long-form Answers
Long-form question answering systems provide rich information by present...
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05/29/2023
A Critical Evaluation of Evaluations for Long-form Question Answering
Long-form question answering (LFQA) enables answering a wide range of qu...
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05/24/2023
Unit-based Speech-to-Speech Translation Without Parallel Data
We propose an unsupervised speech-to-speech translation (S2ST) system th...
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05/24/2023
Mitigating Temporal Misalignment by Discarding Outdated Facts
While large language models are able to retain vast amounts of world kno...
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05/21/2023
Continually Improving Extractive QA via Human Feedback
We study continually improving an extractive question answering (QA) sys...
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05/19/2023
Complex Claim Verification with Evidence Retrieved in the Wild
Evidence retrieval is a core part of automatic fact-checking. Prior work...
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05/02/2023
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Pre-trained language models (LMs) are used for knowledge intensive tasks...
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03/01/2023
DIFFQG: Generating Questions to Summarize Factual Changes
Identifying the difference between two versions of the same article is u...
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01/22/2023
Learning to Reject with a Fixed Predictor: Application to Decontextualization
We study the problem of classification with a reject option for a fixed ...
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12/22/2022
Understanding Postpartum Parents' Experiences via Two Digital Platforms
Digital platforms, including online forums and helplines, have emerged a...
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12/02/2022
Continual Learning for On-Device Speech Recognition using Disentangled Conformers
Automatic speech recognition research focuses on training and evaluating...
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11/29/2022
TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages
We study politeness phenomena in nine typologically diverse languages. P...
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11/28/2022
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources
While the NLP community is generally aware of resource disparities among...
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11/01/2022
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality
Recent visuolinguistic pre-trained models show promising progress on var...
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10/25/2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
Question answering models can use rich knowledge sources – up to one hun...
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06/29/2022
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
Developing methods to adversarially challenge NLP systems is a promising...
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05/19/2022
Modeling Exemplification in Long-form Question Answering via Retrieval
Exemplification is a process by which writers explain or clarify a conce...
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05/14/2022
Generating Literal and Implied Subquestions to Fact-check Complex Claims
Verifying complex political claims is a challenging task, especially whe...
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05/05/2022
Entity Cloze By Date: What LMs Know About Unseen Entities
Language models (LMs) are typically trained once on a large-scale corpus...
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03/21/2022
How Do We Answer Complex Questions: Discourse Structure of Long-form Answers
Long-form answers, consisting of multiple sentences, can provide nuanced...
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03/18/2022
Simulating Bandit Learning from User Feedback for Extractive Question Answering
We study learning from user feedback for extractive question answering b...
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09/13/2021
SituatedQA: Incorporating Extra-Linguistic Contexts into QA
Answers to the same question may change depending on the extra-linguisti...
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09/09/2021
Learning with Different Amounts of Annotation: From Zero to Many Labels
Training NLP systems typically assumes access to annotated data that has...
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09/03/2021
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
Most benchmark datasets targeting commonsense reasoning focus on everyda...
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06/02/2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering
We study calibration in question answering, estimating whether model cor...
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04/18/2021
Misinfo Belief Frames: A Case Study on Covid Climate News
Prior beliefs of readers impact the way in which they project meaning on...
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04/18/2021
Can NLI Models Verify QA Systems' Predictions?
To build robust question answering systems, we need the ability to verif...
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02/13/2021
Capturing Label Distribution: A Case Study in NLI
We study estimating inherent human disagreement (annotation label distri...
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02/09/2021
Decontextualization: Making Sentences Stand-Alone
Models for question answering, dialogue agents, and summarization often ...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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10/22/2020
Challenges in Information Seeking QA:Unanswerable Questions and Paragraph Retrieval
Recent progress in pretrained language model "solved" many reading compr...
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10/22/2020
XOR QA: Cross-lingual Open-Retrieval Question Answering
Multilingual question answering tasks typically assume answers exist in ...
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09/08/2020
QED: A Framework and Dataset for Explanations in Question Answering
A question answering system that in addition to providing an answer prov...
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04/15/2020
Entities as Experts: Sparse Memory Access with Entity Supervision
We focus on the problem of capturing declarative knowledge in the learne...
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03/10/2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Confidently making progress on multilingual modeling requires challengin...
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10/22/2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
We present the results of the Machine Reading for Question Answering (MR...
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04/18/2019
No Permanent Friends or Enemies: Tracking Relationships between Nations from News
Understanding the dynamics of international politics is important yet ch...
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10/20/2018
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Reasoning about implied relationships (e.g. paraphrastic, common sense, ...
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10/06/2018
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Conversational machine comprehension requires a deep understanding of th...
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08/29/2018
Neural Metaphor Detection in Context
We present end-to-end neural models for detecting metaphorical word use ...
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08/21/2018
QuAC : Question Answering in Context
We present QuAC, a dataset for Question Answering in Context that contai...
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07/13/2018
Ultra-Fine Entity Typing
We introduce a new entity typing task: given a sentence with an entity m...
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06/13/2017
Zero-Shot Relation Extraction via Reading Comprehension
We show that relation extraction can be reduced to answering simple read...
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05/09/2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
We present TriviaQA, a challenging reading comprehension dataset contain...
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11/06/2016
