Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Garland, Joshua P."'
Autor:
Ai, Lin, Kumarage, Tharindu, Bhattacharjee, Amrita, Liu, Zizhou, Hui, Zheng, Davinroy, Michael, Cook, James, Cassani, Laura, Trapeznikov, Kirill, Kirchner, Matthias, Basharat, Arslan, Hoogs, Anthony, Garland, Joshua, Liu, Huan, Hirschberg, Julia
The proliferation of Large Language Models (LLMs) poses challenges in detecting and mitigating digital deception, as these models can emulate human conversational patterns and facilitate chat-based social engineering (CSE) attacks. This study investi
Externí odkaz:
http://arxiv.org/abs/2406.12263
With the development and proliferation of large, complex, black-box models for solving many natural language processing (NLP) tasks, there is also an increasing necessity of methods to stress-test these models and provide some degree of interpretabil
Externí odkaz:
http://arxiv.org/abs/2405.04793
With the advancement in capabilities of Large Language Models (LLMs), one major step in the responsible and safe use of such LLMs is to be able to detect text generated by these models. While supervised AI-generated text detectors perform well on tex
Externí odkaz:
http://arxiv.org/abs/2403.15690
Large language models (LLMs) excel in many diverse applications beyond language generation, e.g., translation, summarization, and sentiment analysis. One intriguing application is in text classification. This becomes pertinent in the realm of identif
Externí odkaz:
http://arxiv.org/abs/2403.08035
Autor:
Kumarage, Tharindu, Agrawal, Garima, Sheth, Paras, Moraffah, Raha, Chadha, Aman, Garland, Joshua, Liu, Huan
We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs) capable of generating high-quality text. While these LLMs have revolutionized text generation across various domains, they also pose significant risks to the info
Externí odkaz:
http://arxiv.org/abs/2403.01152
Counterspeech, i.e., direct responses against hate speech, has become an important tool to address the increasing amount of hate online while avoiding censorship. Although AI has been proposed to help scale up counterspeech efforts, this raises quest
Externí odkaz:
http://arxiv.org/abs/2403.00179
In recent years, there has been a rapid proliferation of AI-generated text, primarily driven by the release of powerful pre-trained language models (PLMs). To address the issue of misuse associated with AI-generated text, various high-performing dete
Externí odkaz:
http://arxiv.org/abs/2310.05095
With the advent of larger and more complex deep learning models, such as in Natural Language Processing (NLP), model qualities like explainability and interpretability, albeit highly desirable, are becoming harder challenges to tackle and solve. For
Externí odkaz:
http://arxiv.org/abs/2309.13340
Autor:
Kumarage, Tharindu, Bhattacharjee, Amrita, Padejski, Djordje, Roschke, Kristy, Gillmor, Dan, Ruston, Scott, Liu, Huan, Garland, Joshua
The rapid proliferation of AI-generated text online is profoundly reshaping the information landscape. Among various types of AI-generated text, AI-generated news presents a significant threat as it can be a prominent source of misinformation online.
Externí odkaz:
http://arxiv.org/abs/2309.03164
Autor:
Kumarage, Tharindu, Garland, Joshua, Bhattacharjee, Amrita, Trapeznikov, Kirill, Ruston, Scott, Liu, Huan
Recent advancements in pre-trained language models have enabled convenient methods for generating human-like text at a large scale. Though these generation capabilities hold great potential for breakthrough applications, it can also be a tool for an
Externí odkaz:
http://arxiv.org/abs/2303.03697