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06/25/2023
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations
Despite significant progress having been made in question answering on t...
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05/23/2023
QTSumm: A New Benchmark for Query-Focused Table Summarization
People primarily consult tables to conduct data analysis or answer speci...
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05/23/2023
On Learning to Summarize with Large Language Models as References
Recent studies have found that summaries generated by large language mod...
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05/21/2023
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
In-context learning (ICL) has emerged as a new approach to various natur...
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05/12/2023
Answering Complex Questions over Text by Hybrid Question Parsing and Execution
The dominant paradigm of textual question answering systems is based on ...
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05/05/2023
HiPool: Modeling Long Documents Using Graph Neural Networks
Encoding long sequences in Natural Language Processing (NLP) is a challe...
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03/31/2023
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
As large language models (LLMs) gain popularity among speakers of divers...
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03/07/2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation
Interpretability and efficiency are two important considerations for the...
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02/24/2023
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
We introduce ProofNet, a benchmark for autoformalization and formal prov...
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02/16/2023
LEVER: Learning to Verify Language-to-Code Generation with Execution
The advent of large language models trained on code (code LLMs) has led ...
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02/06/2023
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control
Logical Table-to-Text (LT2T) generation is tasked with generating logica...
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12/24/2022
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
Abstractive dialogue summarization has long been viewed as an important ...
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12/20/2022
On Improving Summarization Factual Consistency from Natural Language Feedback
Despite the recent progress in language generation models, their outputs...
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12/19/2022
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting
The BLOOM model is a large open-source multilingual language model capab...
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12/15/2022
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Human evaluation is the foundation upon which the evaluation of both sum...
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12/07/2022
When Geometric Deep Learning Meets Pretrained Protein Language Models
Geometric deep learning has recently achieved great success in non-Eucli...
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11/30/2022
Explicit Knowledge Transfer for Weakly-Supervised Code Generation
Large language models (LLMs) can acquire strong code-generation capabili...
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11/10/2022
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
This paper introduces the shared task of summarizing documents in severa...
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11/09/2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
Parsing natural language questions into executable logical forms is a us...
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11/03/2022
Crosslingual Generalization through Multitask Finetuning
Multitask prompted finetuning (MTF) has been shown to help large languag...
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10/06/2022
Binding Language Models in Symbolic Languages
Though end-to-end neural approaches have recently been dominating NLP ta...
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05/28/2022
Learning from Self-Sampled Correct and Partially-Correct Programs
Program synthesis aims to generate executable programs that are consiste...
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05/25/2022
Leveraging Locality in Abstractive Text Summarization
Despite the successes of neural attention models for natural language ge...
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05/25/2022
R2D2: Robust Data-to-Text with Replacement Detection
Unfaithful text generation is a common problem for text generation syste...
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05/04/2022
Data Governance in the Age of Large-Scale Data-Driven Language Technology
The recent emergence and adoption of Machine Learning technology, and sp...
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04/13/2022
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts
The Electronic Health Record (EHR) is an essential part of the modern me...
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03/31/2022
BRIO: Bringing Order to Abstractive Summarization
Abstractive summarization models are commonly trained using maximum like...
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01/07/2022
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
Effective human learning depends on a wide selection of educational mate...
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12/16/2021
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
Factual inconsistencies in generated summaries severely limit the practi...
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12/16/2021
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
A classification scheme of a scientific subject gives an overview of its...
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12/13/2021
Surfer100: Generating Surveys From Web Resources on Wikipedia-style
Fast-developing fields such as Artificial Intelligence (AI) often outpac...
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10/04/2021
3D-Transformer: Molecular Representation with Transformer in 3D Space
Spatial structures in the 3D space are important to determine molecular ...
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09/19/2021
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries
Current pre-trained models applied to summarization are prone to factual...
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09/17/2021
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains
Prerequisite chain learning helps people acquire new knowledge efficient...
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08/29/2021
SummerTime: Text Summarization Toolkit for Non-experts
Recent advances in summarization provide models that can generate summar...
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07/07/2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Electronic health records (EHRs), digital collections of patient healthc...
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06/17/2021
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Natural language inference (NLI) is formulated as a unified framework fo...
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06/01/2021
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
While online conversations can cover a vast amount of information in man...
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05/18/2021
BookSum: A Collection of Datasets for Long-form Narrative Summarization
The majority of available text summarization datasets include short-form...
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05/07/2021
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
Learning prerequisite chains is an essential task for efficiently acquir...
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10/24/2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
Models pretrained with self-supervised objectives on large text corpora ...
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10/06/2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
A standard way to address different NLP problems is by first constructin...
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09/29/2020
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
We present GraPPa, an effective pre-training approach for table semantic...
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07/24/2020
SummEval: Re-evaluating Summarization Evaluation
The scarcity of comprehensive up-to-date studies on evaluation metrics f...
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07/06/2020
DART: Open-Domain Structured Data Record to Text Generation
We introduce DART, a large dataset for open-domain structured data recor...
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06/17/2020
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
The COVID-19 global pandemic has resulted in international efforts to un...
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05/02/2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
Neural networks lack the ability to reason about qualitative physics and...
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04/22/2020
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
The task of concept prerequisite chain learning is to automatically dete...
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10/30/2019
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
Automated analysis of clinical notes is attracting increasing attention....
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09/11/2019