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05/04/2023
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
Recent advances in deep learning methods for natural language processing...
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03/24/2023
Paraphrase Detection: Human vs. Machine Content
The growing prominence of large language models, such as GPT-4 and ChatG...
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02/16/2023
AI Usage Cards: Responsibly Reporting AI-generated Content
Given AI systems like ChatGPT can generate content that is indistinguish...
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01/12/2023
A Cohesive Distillation Architecture for Neural Language Models
A recent trend in Natural Language Processing is the exponential growth ...
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10/26/2022
Analyzing Multi-Task Learning for Abstractive Text Summarization
Despite the recent success of multi-task learning and pre-finetuning for...
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10/13/2022
CS-Insights: A System for Analyzing Computer Science Research
This paper presents CS-Insights, an interactive web application to analy...
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10/07/2022
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
The recent success of large language models for text generation poses a ...
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04/28/2022
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
DBLP is the largest open-access repository of scientific articles on com...
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11/15/2021
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
A drastic rise in potentially life-threatening misinformation has been a...
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06/15/2021
Incorporating Word Sense Disambiguation in Neural Language Models
We present two supervised (pre-)training methods to incorporate gloss de...
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03/23/2021
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
The rise of language models such as BERT allows for high-quality text pa...
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03/22/2021
