b'Greg Durrett'

research

∙ 09/16/2023

X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs

Understanding when two pieces of text convey the same information is a g...

0 Juan Diego Rodriguez, et al. ∙

research

∙ 07/05/2023

Deductive Additivity for Planning of Natural Language Proofs

Current natural language systems designed for multi-step claim validatio...

0 Zayne Sprague, et al. ∙

research

∙ 06/15/2023

Propagating Knowledge Updates to LMs Through Distillation

Modern language models have the capacity to store and use immense amount...

0 Shankar Padmanabhan, et al. ∙

research

∙ 06/01/2023

EEL: Efficiently Encoding Lattices for Reranking

Standard decoding approaches for conditional text generation tasks typic...

0 Prasann Singhal, et al. ∙

research

∙ 05/30/2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses

A human decision-maker benefits the most from an AI assistant that corre...

0 Liyan Tang, et al. ∙

research

∙ 05/29/2023

Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing

Developers often dedicate significant time to maintaining and refactorin...

0 Jiayi Wei, et al. ∙

research

∙ 05/24/2023

Drafting Event Schemas using Language Models

Past work has studied event prediction and event language modeling, some...

0 Anisha Gunjal, et al. ∙

research

∙ 05/24/2023

Using Natural Language Explanations to Rescale Human Judgments

The rise of large language models (LLMs) has brought a critical need for...

0 Manya Wadhwa, et al. ∙

research

∙ 05/19/2023

Complex Claim Verification with Evidence Retrieved in the Wild

Evidence retrieval is a core part of automatic fact-checking. Prior work...

0 Jifan Chen, et al. ∙

research

∙ 05/17/2023

Data Extraction via Semantic Regular Expression Synthesis

Many data extraction tasks of practical relevance require not only synta...

0 Qiaochu Chen, et al. ∙

research

∙ 05/16/2023

Satisfiability-Aided Language Models Using Declarative Prompting

Prior work has combined chain-of-thought prompting in large language mod...

0 Xi Ye, et al. ∙

research

∙ 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...

0 Yasumasa Onoe, et al. ∙

research

∙ 03/16/2023

TypeT5: Seq2seq Type Inference using Static Analysis

There has been growing interest in automatically predicting missing type...

0 Jiayi Wei, et al. ∙

research

∙ 02/14/2023

Modeling Complex Event Scenarios via Simple Entity-focused Questions

Event scenarios are often complex and involve multiple event sequences c...

0 Mahnaz Koupaee, et al. ∙

research

∙ 02/09/2023

Explanation Selection Using Unlabeled Data for In-Context Learning

Recent work has addressed textual reasoning tasks by prompting large lan...

0 Xi Ye, et al. ∙

research

∙ 11/29/2022

Zero-Shot Opinion Summarization with GPT-3

Very large language models such as GPT-3 have shown impressive performan...

0 Adithya Bhaskar, et al. ∙

research

∙ 11/25/2022

Complementary Explanations for Effective In-Context Learning

Large language models (LLMs) have exhibited remarkable capabilities in l...

0 Xi Ye, et al. ∙

research

∙ 11/01/2022

Natural Language Deduction with Incomplete Information

A growing body of work studies how to answer a question or verify a clai...

0 Zayne Sprague, et al. ∙

research

∙ 10/13/2022

Assessing Out-of-Domain Language Model Performance from Few Examples

While pretrained language models have exhibited impressive generalizatio...

0 Prasann Singhal, et al. ∙

research

∙ 10/12/2022

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion

Automatic discourse processing, which can help understand how sentences ...

0 Wei-Jen Ko, et al. ∙

research

∙ 09/26/2022

News Summarization and Evaluation in the Era of GPT-3

The recent success of zero- and few-shot prompting with models like GPT-...

0 Tanya Goyal, et al. ∙

research

∙ 09/02/2022

Type-Directed Synthesis of Visualizations from Natural Language Queries

We propose a new technique based on program synthesis for automatically ...

0 Qiaochu Chen, et al. ∙

research

∙ 05/25/2022

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors

The propensity of abstractive summarization systems to make factual erro...

0 Liyan Tang, et al. ∙

research

∙ 05/19/2022

SNaC: Coherence Error Detection for Narrative Summarization

Progress in summarizing long texts is inhibited by the lack of appropria...

0 Tanya Goyal, et al. ∙

research

∙ 05/14/2022

Generating Literal and Implied Subquestions to Fact-check Complex Claims

Verifying complex political claims is a challenging task, especially whe...

0 Jifan Chen, et al. ∙

research

∙ 05/06/2022

The Unreliability of Explanations in Few-Shot In-Context Learning

How can prompting a large language model like GPT-3 with explanations im...

0 Xi Ye, et al. ∙

research

∙ 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...

0 Yasumasa Onoe, et al. ∙

research

∙ 01/16/2022

Natural Language Deduction through Search over Statement Compositions

In settings from fact-checking to question answering, we frequently want...

0 Kaj Bostrom, et al. ∙

research

∙ 12/14/2021

Massive-scale Decoding for Text Generation using Lattices

Neural text generation models like those used for summarization and tran...

0 Jiacheng Xu, et al. ∙

research

∙ 11/01/2021

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections

While there has been substantial progress in text comprehension through ...

0 Wei-Jen Ko, et al. ∙

research

∙ 10/15/2021

Training Dynamics for Text Summarization Models

Pre-trained language models (e.g. BART) have shown impressive results wh...

0 Tanya Goyal, et al. ∙

research

∙ 10/15/2021

Aspect-Oriented Summarization through Query-Focused Extraction

A reader interested in a particular topic might be interested in summari...

0 Ojas Ahuja, et al. ∙

research

∙ 10/15/2021

Cross-Lingual Fine-Grained Entity Typing

The growth of cross-lingual pre-trained models has enabled NLP tools to ...

0 Nila Selvaraj, et al. ∙

research

∙ 10/14/2021

Making Document-Level Information Extraction Right for the Right Reasons

Document-level information extraction is a flexible framework compatible...

0 Liyan Tang, et al. ∙

research

∙ 10/14/2021

Can Explanations Be Useful for Calibrating Black Box Models?

One often wants to take an existing, trained NLP model and use it on dat...

0 Xi Ye, et al. ∙

research

∙ 09/03/2021

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

Most benchmark datasets targeting commonsense reasoning focus on everyda...

0 Yasumasa Onoe, et al. ∙

research

∙ 06/03/2021

Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution

Despite the prominence of neural abstractive summarization models, we kn...

0 Jiacheng Xu, et al. ∙

research

∙ 04/18/2021

Flexible Operations for Natural Language Deduction

An interpretable system for complex, open-domain reasoning needs an inte...

0 Kaj Bostrom, et al. ∙

research

∙ 04/18/2021

Can NLI Models Verify QA Systems' Predictions?

To build robust question answering systems, we need the ability to verif...

0 Jifan Chen, et al. ∙

research

∙ 04/14/2021

Web Question Answering with Neurosymbolic Program Synthesis

In this paper, we propose a new technique based on program synthesis for...

0 Qiaochu Chen, et al. ∙

research

∙ 04/09/2021

Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals

Token-level attributions have been extensively studied to explain model ...

0 Xi Ye, et al. ∙

research

∙ 04/09/2021

Did they answer? Subjective acts and intents in conversational discourse

Discourse signals are often implicit, leaving it up to the interpreter t...

0 Elisa Ferracane, et al. ∙

research

∙ 04/09/2021

Annotating and Modeling Fine-grained Factuality in Summarization

Recent pre-trained abstractive summarization systems have started to ach...

0 Tanya Goyal, et al. ∙

research

∙ 02/05/2021

Model Agnostic Answer Reranking System for Adversarial Question Answering

While numerous methods have been proposed as defenses against adversaria...

15 Sagnik Majumder, et al. ∙

research

∙ 01/02/2021

Modeling Fine-Grained Entity Types with Box Embeddings

Neural entity typing models typically represent entity types as vectors ...

0 Yasumasa Onoe, et al. ∙

research

∙ 12/31/2020

Conditional Generation of Temporally-ordered Event Sequences

Models encapsulating narrative schema knowledge have proven to be useful...

0 Shih-Ting Lin, et al. ∙

research

∙ 10/24/2020

Effective Distant Supervision for Temporal Relation Extraction

A principal barrier to training temporal relation extraction models in n...

0 Xinyu Zhao, et al. ∙

research

∙ 10/15/2020

Compressive Summarization with Plausibility and Salience Modeling

Compressive summarization systems typically rely on a crafted set of syn...

0 Shrey Desai, et al. ∙

research

∙ 10/15/2020

Understanding Neural Abstractive Summarization Models via Uncertainty

An advantage of seq2seq abstractive summarization models is that they ge...

0 Jiacheng Xu, et al. ∙

research

∙ 10/12/2020

Evaluating Factuality in Generation with Dependency-level Entailment

Despite significant progress in text generation models, a serious limita...

0 Tanya Goyal, et al. ∙

Greg Durrett

Featured Co-authors