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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...
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07/05/2023
Deductive Additivity for Planning of Natural Language Proofs
Current natural language systems designed for multi-step claim validatio...
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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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06/01/2023
EEL: Efficiently Encoding Lattices for Reranking
Standard decoding approaches for conditional text generation tasks typic...
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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...
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05/29/2023
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
Developers often dedicate significant time to maintaining and refactorin...
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05/24/2023
Drafting Event Schemas using Language Models
Past work has studied event prediction and event language modeling, some...
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05/24/2023
Using Natural Language Explanations to Rescale Human Judgments
The rise of large language models (LLMs) has brought a critical need for...
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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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05/17/2023
Data Extraction via Semantic Regular Expression Synthesis
Many data extraction tasks of practical relevance require not only synta...
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05/16/2023
Satisfiability-Aided Language Models Using Declarative Prompting
Prior work has combined chain-of-thought prompting in large language mod...
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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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03/16/2023
TypeT5: Seq2seq Type Inference using Static Analysis
There has been growing interest in automatically predicting missing type...
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02/14/2023
Modeling Complex Event Scenarios via Simple Entity-focused Questions
Event scenarios are often complex and involve multiple event sequences c...
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02/09/2023
Explanation Selection Using Unlabeled Data for In-Context Learning
Recent work has addressed textual reasoning tasks by prompting large lan...
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11/29/2022
Zero-Shot Opinion Summarization with GPT-3
Very large language models such as GPT-3 have shown impressive performan...
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11/25/2022
Complementary Explanations for Effective In-Context Learning
Large language models (LLMs) have exhibited remarkable capabilities in l...
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11/01/2022
Natural Language Deduction with Incomplete Information
A growing body of work studies how to answer a question or verify a clai...
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10/13/2022
Assessing Out-of-Domain Language Model Performance from Few Examples
While pretrained language models have exhibited impressive generalizatio...
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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 ...
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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-...
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09/02/2022
Type-Directed Synthesis of Visualizations from Natural Language Queries
We propose a new technique based on program synthesis for automatically ...
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05/25/2022
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
The propensity of abstractive summarization systems to make factual erro...
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05/19/2022
SNaC: Coherence Error Detection for Narrative Summarization
Progress in summarizing long texts is inhibited by the lack of appropria...
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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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05/06/2022
The Unreliability of Explanations in Few-Shot In-Context Learning
How can prompting a large language model like GPT-3 with explanations im...
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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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01/16/2022
Natural Language Deduction through Search over Statement Compositions
In settings from fact-checking to question answering, we frequently want...
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12/14/2021
Massive-scale Decoding for Text Generation using Lattices
Neural text generation models like those used for summarization and tran...
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11/01/2021
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
While there has been substantial progress in text comprehension through ...
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10/15/2021
Training Dynamics for Text Summarization Models
Pre-trained language models (e.g. BART) have shown impressive results wh...
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10/15/2021
Aspect-Oriented Summarization through Query-Focused Extraction
A reader interested in a particular topic might be interested in summari...
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10/15/2021
Cross-Lingual Fine-Grained Entity Typing
The growth of cross-lingual pre-trained models has enabled NLP tools to ...
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10/14/2021
Making Document-Level Information Extraction Right for the Right Reasons
Document-level information extraction is a flexible framework compatible...
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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...
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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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06/03/2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
Despite the prominence of neural abstractive summarization models, we kn...
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04/18/2021
Flexible Operations for Natural Language Deduction
An interpretable system for complex, open-domain reasoning needs an inte...
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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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04/14/2021
Web Question Answering with Neurosymbolic Program Synthesis
In this paper, we propose a new technique based on program synthesis for...
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04/09/2021
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals
Token-level attributions have been extensively studied to explain model ...
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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...
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04/09/2021
Annotating and Modeling Fine-grained Factuality in Summarization
Recent pre-trained abstractive summarization systems have started to ach...
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02/05/2021
Model Agnostic Answer Reranking System for Adversarial Question Answering
While numerous methods have been proposed as defenses against adversaria...
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01/02/2021
Modeling Fine-Grained Entity Types with Box Embeddings
Neural entity typing models typically represent entity types as vectors ...
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12/31/2020
Conditional Generation of Temporally-ordered Event Sequences
Models encapsulating narrative schema knowledge have proven to be useful...
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10/24/2020
Effective Distant Supervision for Temporal Relation Extraction
A principal barrier to training temporal relation extraction models in n...
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10/15/2020
Compressive Summarization with Plausibility and Salience Modeling
Compressive summarization systems typically rely on a crafted set of syn...
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10/15/2020
Understanding Neural Abstractive Summarization Models via Uncertainty
An advantage of seq2seq abstractive summarization models is that they ge...
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10/12/2020