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05/31/2023
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Despite the seeming success of contemporary grounded text generation sys...
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05/23/2023
Evaluating and Modeling Attribution for Cross-Lingual Question Answering
Trustworthy answer content is abundant in many high-resource languages a...
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05/22/2023
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
Reliable automatic evaluation of summarization systems is challenging du...
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05/18/2023
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
Factual consistency evaluation is often conducted using Natural Language...
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05/17/2023
What You See is What You Read? Improving Text-Image Alignment Evaluation
Automatically determining whether a text and a corresponding image are s...
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05/12/2023
Surfacing Biases in Large Language Models using Contrastive Input Decoding
Ensuring that large language models (LMs) are fair, robust and useful re...
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04/27/2023
q2d: Turning Questions into Dialogs to Teach Models How to Search
One of the exciting capabilities of recent language models for dialog is...
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12/20/2022
mFACE: Multilingual Summarization with Factual Consistency Evaluation
Abstractive summarization has enjoyed renewed interest in recent years, ...
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12/19/2022
Multilingual Sequence-to-Sequence Models for Hebrew NLP
Recent work attributes progress in NLP to large language models (LMs) wi...
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11/10/2022
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
Question answering models commonly have access to two sources of "knowle...
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04/11/2022
TRUE: Re-evaluating Factual Consistency Evaluation
Grounded text generation systems often generate text that contains factu...
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04/16/2021
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Neural knowledge-grounded generative models for dialogue often produce c...
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09/23/2020
KoBE: Knowledge-Based Machine Translation Evaluation
We propose a simple and effective method for machine translation evaluat...
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08/11/2020
Real-Time Sign Language Detection using Human Pose Estimation
We propose a lightweight real-time sign language detection model, as we ...
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04/05/2020
Unsupervised Domain Clusters in Pretrained Language Models
The notion of "in-domain data" in NLP is often over-simplistic and vague...
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10/21/2019
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Phenomenon-specific "adversarial" datasets have been recently designed t...
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03/17/2019
The Missing Ingredient in Zero-Shot Neural Machine Translation
Multilingual Neural Machine Translation (NMT) models are capable of tran...
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03/08/2019
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
When translating from a language that does not morphologically mark info...
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02/28/2019
Massively Multilingual Neural Machine Translation
Multilingual neural machine translation (NMT) enables training a single ...
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05/02/2018
Split and Rephrase: Better Evaluation and a Stronger Baseline
Splitting and rephrasing a complex sentence into several shorter sentenc...
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04/16/2017
Towards String-to-Tree Neural Machine Translation
We present a simple method to incorporate syntactic information about th...
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11/04/2016