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09/18/2023
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
Text language models have shown remarkable zero-shot capability in gener...
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05/30/2023
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models
Self-supervised learning (SSL) is a popular research topic in speech pro...
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03/27/2023
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems
Despite the significant advancements in keyphrase extraction and keyphra...
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02/24/2023
Ensemble knowledge distillation of self-supervised speech models
Distilled self-supervised models have shown competitive performance and ...
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12/20/2022
A Survey of Deep Learning for Mathematical Reasoning
Mathematical reasoning is a fundamental aspect of human intelligence and...
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12/20/2022
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English
Privacy policies provide individuals with information about their rights...
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05/25/2022
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions
Relational structure extraction covers a wide range of tasks and plays a...
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05/25/2022
GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types
Numerous events occur worldwide and are documented in the news, social m...
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05/23/2022
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages
Back-translation is widely known for its effectiveness for neural machin...
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12/07/2021
Grounded Language-Image Pre-training
This paper presents a grounded language-image pre-training (GLIP) model ...
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08/07/2021
What do Bias Measures Measure?
Natural Language Processing (NLP) models propagate social biases about p...
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07/13/2021
How Much Can CLIP Benefit Vision-and-Language Tasks?
Most existing Vision-and-Language (V L) models rely on pre-trained vis...
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04/18/2021
Revealing Persona Biases in Dialogue Systems
Dialogue systems in the form of chatbots and personal assistants are bei...
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01/01/2021
Intent Classification and Slot Filling for Privacy Policies
Understanding privacy policies is crucial for users as it empowers them ...
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10/24/2020
Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions
Pre-trained contextual vision-and-language (V L) models have brought i...
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08/09/2019
VisualBERT: A Simple and Performant Baseline for Vision and Language
We propose VisualBERT, a simple and flexible framework for modeling a br...
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07/01/2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Existing approaches for learning word embeddings often assume there are ...
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11/20/2018
