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08/21/2023
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
Large Language Models (LLMs) have achieved significant success across va...
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05/23/2023
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
We propose ConGraT(Contrastive Graph-Text pretraining), a general, self-...
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05/04/2023
PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences
Despite the many use cases for large language models (LLMs) in the desig...
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09/28/2022
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene
Fast and efficient semantic segmentation of large-scale LiDAR point clou...
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09/15/2022
CommunityLM: Probing Partisan Worldviews from Language Models
As political attitudes have diverged ideologically in the United States,...
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06/29/2022
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
Understanding public discourse on emergency use of unproven therapeutics...
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01/18/2022
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis
Social media data such as Twitter messages ("tweets") pose a particular ...
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12/12/2021
Topic Detection and Tracking with Time-Aware Document Embeddings
The time at which a message is communicated is a vital piece of metadata...
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10/12/2021
Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking
The essential task of Topic Detection and Tracking (TDT) is to organize ...
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06/17/2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Entity linking (EL), the task of disambiguating mentions in text by link...
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10/02/2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Learning visual representations of medical images is core to medical ima...
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02/07/2020
Data augmentation with Möbius transformations
Data augmentation has led to substantial improvements in the performance...
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11/21/2019
Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings
Previous works related to automatic personality recognition focus on usi...
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10/04/2019
DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions
Several computational models have been developed to detect and analyze d...
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10/04/2019
