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05/25/2023
Diversity-Aware Coherence Loss for Improving Neural Topic Models
The standard approach for neural topic modeling uses a variational autoe...
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05/09/2023
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the r...
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03/14/2023
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
The Natural Language for Optimization (NL4Opt) Competition was created t...
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01/09/2023
SantaCoder: don't reach for the stars!
The BigCode project is an open-scientific collaboration working on the r...
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11/20/2022
The Stack: 3 TB of permissively licensed source code
Large Language Models (LLMs) play an ever-increasing role in the field o...
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07/12/2022
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction
Identifying spans in medical texts that correspond to medical entities i...
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03/15/2022
Evaluating the Text-to-SQL Capabilities of Large Language Models
We perform an empirical evaluation of Text-to-SQL capabilities of the Co...
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12/10/2021
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization
The transformer multi-head self-attention mechanism has been thoroughly ...
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08/31/2021
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP
Transformers are the dominant architecture in NLP, but their training an...
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08/30/2021
ConVIScope: Visual Analytics for Exploring Patient Conversations
The proliferation of text messaging for mobile health is generating a la...
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06/24/2021
byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings
This article introduces byteSteady – a fast model for classification usi...
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10/21/2020
DuoRAT: Towards Simpler Text-to-SQL Models
Recent research has shown that neural text-to-SQL models can effectively...
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02/24/2020
Video Monitoring Queries
Recent advances in video processing utilizing deep learning primitives a...
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09/07/2019
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
We present a method to produce abstractive summaries of long documents t...
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12/18/2018
