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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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04/28/2023
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation
While conditional generation models can now generate natural language we...
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02/17/2023
Columbus: Android App Testing Through Systematic Callback Exploration
With the continuous rise in the popularity of Android mobile devices, au...
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01/24/2023
Demystifying NFT Promotion and Phishing Scams
The popularity and hype around purchasing digital assets such as art, vi...
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11/15/2022
QAmeleon: Multilingual QA with Only 5 Examples
The availability of large, high-quality datasets has been one of the mai...
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10/31/2022
Query Refinement Prompts for Closed-Book Long-Form Question Answering
Large language models (LLMs) have been shown to perform well in answerin...
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10/06/2022
Language Models are Multilingual Chain-of-Thought Reasoners
We evaluate the reasoning abilities of large language models in multilin...
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07/01/2022
Conditional Generation with a Question-Answering Blueprint
The ability to convey relevant and faithful information is critical for ...
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03/28/2022
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
We propose Composition Sampling, a simple but effective method to genera...
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12/23/2021
Measuring Attribution in Natural Language Generation Models
With recent improvements in natural language generation (NLG) models for...
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11/17/2021
Understanding Security Issues in the NFT Ecosystem
Non-Fungible Tokens (NFTs) have emerged as a way to collect digital art ...
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07/14/2021
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
Knowledge-grounded dialogue systems are intended to convey information t...
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06/30/2021
The MultiBERTs: BERT Reproductions for Robustness Analysis
Experiments with pretrained models such as BERT are often based on a sin...
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02/09/2021
Decontextualization: Making Sentences Stand-Alone
Models for question answering, dialogue agents, and summarization often ...
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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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10/08/2020
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
The quality of machine translation systems has dramatically improved ove...
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05/10/2020
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering
Recent advances in deep learning have shown their ability to learn stron...
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04/29/2020
ToTTo: A Controlled Table-To-Text Generation Dataset
We present ToTTo, an open-domain English table-to-text dataset with over...
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04/24/2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Pretrained neural models such as BERT, when fine-tuned to perform natura...
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04/09/2020
BLEURT: Learning Robust Metrics for Text Generation
Text generation has made significant advances in the last few years. Yet...
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06/03/2019
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Automatically constructed datasets for generating text from semi-structu...
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05/15/2019
What do you learn from context? Probing for sentence structure in contextualized word representations
Contextualized representation models such as ELMo (Peters et al., 2018a)...
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05/15/2019
BERT Rediscovers the Classical NLP Pipeline
Pre-trained text encoders have rapidly advanced the state of the art on ...
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04/09/2019
Text Generation with Exemplar-based Adaptive Decoding
We propose a novel conditioned text generation model. It draws inspirati...
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01/19/2019
Deep Representation Learning Characterized by Inter-class Separation for Image Clustering
Despite significant advances in clustering methods in recent years, the ...
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12/23/2018
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences
Deep approaches to predict monocular depth and ego-motion have grown in ...
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08/28/2018
Learning To Split and Rephrase From Wikipedia Edit History
Split and rephrase is the task of breaking down a sentence into shorter ...
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08/28/2018
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
We release a corpus of 43 million atomic edits across 8 languages. These...
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08/28/2018
Identifying Well-formed Natural Language Questions
Understanding search queries is a hard problem as it involves dealing wi...
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04/15/2017
Neural Paraphrase Identification of Questions with Noisy Pretraining
We present a solution to the problem of paraphrase identification of que...
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11/04/2016
Learning Recurrent Span Representations for Extractive Question Answering
The reading comprehension task, that asks questions about a given eviden...
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06/06/2016