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05/24/2023
Coverage-based Example Selection for In-Context Learning
In-context learning (ICL), the ability of large language models to perfo...
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12/08/2022
Successive Prompting for Decomposing Complex Questions
Answering complex questions that require making latent decisions is a ch...
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11/01/2022
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
The full power of human language-based communication cannot be realized ...
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05/17/2022
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning
Transfer learning (TL) in natural language processing (NLP) has seen a s...
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04/12/2022
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
Training a referring expression comprehension (ReC) model for a new visu...
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03/24/2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Natural language processing models often exploit spurious correlations b...
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03/16/2022
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets
A rapidly growing body of research has demonstrated the inability of NLP...
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02/15/2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Pretrained Language Models (LMs) have demonstrated ability to perform nu...
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12/16/2021
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Retrieval-augmented generation models have shown state-of-the-art perfor...
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09/22/2021
COVR: A test-bed for Visually Grounded Compositional Generalization with real images
While interest in models that generalize at test time to new composition...
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07/27/2021
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
Alongside huge volumes of research on deep learning models in NLP in the...
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07/15/2021
Tailor: Generating and Perturbing Text with Semantic Controls
Making controlled perturbations is essential for various tasks (e.g., da...
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07/13/2021
Enforcing Consistency in Weakly Supervised Semantic Parsing
The predominant challenge in weakly supervised semantic parsing is that ...
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05/07/2021
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
Readers of academic research papers often read with the goal of answerin...
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04/18/2021
Documenting the English Colossal Clean Crawled Corpus
As language models are trained on ever more text, researchers are turnin...
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04/18/2021
Generative Context Pair Selection for Multi-hop Question Answering
Compositional reasoning tasks like multi-hop question answering, require...
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04/18/2021
Learning with Instance Bundles for Reading Comprehension
When training most modern reading comprehension models, all the question...
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04/17/2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Much recent work in NLP has documented dataset artifacts, bias, and spur...
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04/05/2021
Paired Examples as Indirect Supervision in Latent Decision Models
Compositional, structured models are appealing because they explicitly d...
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03/22/2021
Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization
Question Answering (QA) tasks requiring information from multiple docume...
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11/16/2020
Learning from Task Descriptions
Typically, machine learning systems solve new tasks by training on thous...
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11/13/2020
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
Humans often have to read multiple documents to address their informatio...
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10/12/2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References
Understanding the relationship between figures and text is key to scient...
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10/12/2020
Improving Compositional Generalization in Semantic Parsing
Generalization of models to out-of-distribution (OOD) data has captured ...
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10/07/2020
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
Posing reading comprehension as a generation problem provides a great de...
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10/06/2020
Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq
High-quality and large-scale data are key to success for AI systems. How...
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09/20/2020
Understanding Mention Detector-Linker Interaction for Neural Coreference Resolution
Coreference resolution is an important task for discourse-level natural ...
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07/01/2020
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
Answering questions that involve multi-step reasoning requires decomposi...
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05/02/2020
Obtaining Faithful Interpretations from Compositional Neural Networks
Neural module networks (NMNs) are a popular approach for modeling compos...
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05/01/2020
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
A critical part of reading is being able to understand the temporal rela...
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04/06/2020
Multi-Step Inference for Reasoning Over Paragraphs
Complex reasoning over text requires understanding and chaining together...
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04/06/2020
Evaluating NLP Models via Contrast Sets
Standard test sets for supervised learning evaluate in-distribution gene...
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01/31/2020
Break It Down: A Question Understanding Benchmark
Understanding natural language questions entails the ability to break do...
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12/29/2019
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension
Reading comprehension is one of the crucial tasks for furthering researc...
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12/10/2019
Neural Module Networks for Reasoning over Text
Answering compositional questions that require multiple steps of reasoni...
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09/25/2019
Question Answering is a Format; When is it Useful?
Recent years have seen a dramatic expansion of tasks and datasets posed ...
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09/19/2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Neural NLP models are increasingly accurate but are imperfect and opaque...
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09/17/2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
The ability to understand and work with numbers (numeracy) is critical f...
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09/08/2019
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
We introduce the first open-domain dataset, called QuaRTz, for reasoning...
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08/29/2019
Global Reasoning over Database Structures for Text-to-SQL Parsing
State-of-the-art semantic parsers rely on auto-regressive decoding, emit...
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08/20/2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Adversarial examples highlight model vulnerabilities and are useful for ...
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08/20/2019
Universal Adversarial Triggers for NLP
Adversarial examples highlight model vulnerabilities and are useful for ...
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08/16/2019
Reasoning Over Paragraph Effects in Situations
A key component of successfully reading a passage of text is the ability...
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08/16/2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
Machine comprehension of texts longer than a single sentence often requi...
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06/07/2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Multi-hop reading comprehension (RC) questions are challenging because t...
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05/30/2019
Grammar-based Neural Text-to-SQL Generation
The sequence-to-sequence paradigm employed by neural text-to-SQL models ...
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05/15/2019
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Research on parsing language to SQL has largely ignored the structure of...
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03/21/2019
Linguistic Knowledge and Transferability of Contextual Representations
Contextual word representations derived from large-scale neural language...
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03/01/2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Reading comprehension has recently seen rapid progress, with systems mat...
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11/20/2018