Dragomir Radev

research

∙ 05/23/2023

QTSumm: A New Benchmark for Query-Focused Table Summarization

People primarily consult tables to conduct data analysis or answer speci...

16 Yilun Zhao, et al. ∙

research

∙ 05/23/2023

On Learning to Summarize with Large Language Models as References

Recent studies have found that summaries generated by large language mod...

0 Yixin Liu, et al. ∙

research

∙ 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...

0 Linyong Nan, et al. ∙

research

∙ 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 ...

1 Ye Liu, et al. ∙

research

∙ 05/05/2023

HiPool: Modeling Long Documents Using Graph Neural Networks

Encoding long sequences in Natural Language Processing (NLP) is a challe...

0 Irene Li, et al. ∙

research

∙ 03/31/2023

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

As large language models (LLMs) gain popularity among speakers of divers...

0 Jungo Kasai, et al. ∙

research

∙ 03/07/2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation

Interpretability and efficiency are two important considerations for the...

13 Yixin Liu, et al. ∙

research

∙ 02/24/2023

ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics

We introduce ProofNet, a benchmark for autoformalization and formal prov...

0 Zhangir Azerbayev, et al. ∙

research

∙ 02/16/2023

LEVER: Learning to Verify Language-to-Code Generation with Execution

The advent of pre-trained code language models (CodeLMs) has lead to sig...

0 Ansong Ni, et al. ∙

research

∙ 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...

0 Yilun Zhao, et al. ∙

research

∙ 12/24/2022

STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension

Abstractive dialogue summarization has long been viewed as an important ...

0 Borui Wang, et al. ∙

research

∙ 12/20/2022

On Improving Summarization Factual Consistency from Natural Language Feedback

Despite the recent progress in language generation models, their outputs...

0 Yixin Liu, et al. ∙

research

∙ 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...

16 Zheng Xin Yong, et al. ∙

research

∙ 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...

12 Yixin Liu, et al. ∙

research

∙ 12/07/2022

When Geometric Deep Learning Meets Pretrained Protein Language Models

Geometric deep learning has recently achieved great success in non-Eucli...

0 Fang Wu, et al. ∙

research

∙ 11/30/2022

Explicit Knowledge Transfer for Weakly-Supervised Code Generation

Large language models (LLMs) can acquire strong code-generation capabili...

0 Zhangir Azerbayev, et al. ∙

research

∙ 11/10/2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing

This paper introduces the shared task of summarizing documents in severa...

0 Divyansh Agarwal, et al. ∙

research

∙ 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...

0 Ye Liu, et al. ∙

research

∙ 11/03/2022

Crosslingual Generalization through Multitask Finetuning

Multitask prompted finetuning (MTF) has been shown to help large languag...

0 Niklas Muennighoff, et al. ∙

research

∙ 10/06/2022

Binding Language Models in Symbolic Languages

Though end-to-end neural approaches have recently been dominating NLP ta...

2 Zhoujun Cheng, et al. ∙

research

∙ 05/28/2022

Learning from Self-Sampled Correct and Partially-Correct Programs

Program synthesis aims to generate executable programs that are consiste...

0 Ansong Ni, et al. ∙

research

∙ 05/25/2022

Leveraging Locality in Abstractive Text Summarization

Despite the successes of neural attention models for natural language ge...

0 Yixin Liu, et al. ∙

research

∙ 05/25/2022

R2D2: Robust Data-to-Text with Replacement Detection

Unfaithful text generation is a common problem for text generation syste...

0 Linyong Nan, et al. ∙

research

∙ 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...

0 Yacine Jernite, et al. ∙

research

∙ 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...

29 Irene Li, et al. ∙

research

∙ 03/31/2022

BRIO: Bringing Order to Abstractive Summarization

Abstractive summarization models are commonly trained using maximum like...

4 Yixin Liu, et al. ∙

research

∙ 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...

11 Irene Li, et al. ∙

research

∙ 12/16/2021

CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning

Factual inconsistencies in generated summaries severely limit the practi...

8 Xiangru Tang, et al. ∙

research

∙ 12/16/2021

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources

A classification scheme of a scientific subject gives an overview of its...

3 Swapnil Hingmire, et al. ∙

research

∙ 12/13/2021

Surfer100: Generating Surveys From Web Resources on Wikipedia-style

Fast-developing fields such as Artificial Intelligence (AI) often outpac...

9 Irene Li, et al. ∙

research

∙ 10/04/2021

3D-Transformer: Molecular Representation with Transformer in 3D Space

Spatial structures in the 3D space are important to determine molecular ...

5 Fang Wu, et al. ∙

research

∙ 09/19/2021

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries

Current pre-trained models applied to summarization are prone to factual...

9 Xiangru Tang, et al. ∙

research

∙ 09/17/2021

Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains

Prerequisite chain learning helps people acquire new knowledge efficient...

5 Irene Li, et al. ∙

research

∙ 08/29/2021

SummerTime: Text Summarization Toolkit for Non-experts

Recent advances in summarization provide models that can generate summar...

10 Ansong Ni, et al. ∙

research

∙ 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...

12 Irene Li, et al. ∙

research

∙ 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...

0 Wenpeng Yin, et al. ∙

research

∙ 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...

10 Alexander R. Fabbri, et al. ∙

research

∙ 05/18/2021

BookSum: A Collection of Datasets for Long-form Narrative Summarization

The majority of available text summarization datasets include short-form...

11 Wojciech Kryściński, et al. ∙

research

∙ 05/07/2021

Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders

Learning prerequisite chains is an essential task for efficiently acquir...

8 Irene Li, et al. ∙

research

∙ 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 ...

11 Alexander R. Fabbri, et al. ∙

research

∙ 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...

0 Wenpeng Yin, et al. ∙

research

∙ 09/29/2020

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing

We present GraPPa, an effective pre-training approach for table semantic...

1 Tao Yu, et al. ∙

research

∙ 07/24/2020

SummEval: Re-evaluating Summarization Evaluation

The scarcity of comprehensive up-to-date studies on evaluation metrics f...

0 Alexander R. Fabbri, et al. ∙

research

∙ 07/06/2020

DART: Open-Domain Structured Data Record to Text Generation

We introduce DART, a large dataset for open-domain structured data recor...

0 Dragomir Radev, et al. ∙

research

∙ 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...

11 Andre Esteva, et al. ∙

research

∙ 05/02/2020

ESPRIT: Explaining Solutions to Physical Reasoning Tasks

Neural networks lack the ability to reason about qualitative physics and...

0 Nazneen Fatema Rajani, et al. ∙

research

∙ 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...

0 Irene Li, et al. ∙

research

∙ 10/30/2019

A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation

Automated analysis of clinical notes is attracting increasing attention....

0 Irene Li, et al. ∙

research

∙ 09/11/2019

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

We present CoSQL, a corpus for building cross-domain, general-purpose da...

39 Tao Yu, et al. ∙

research

∙ 09/02/2019

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

We focus on the cross-domain context-dependent text-to-SQL generation ta...

0 Rui Zhang, et al. ∙

Dragomir Radev

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