Zobrazeno 1 - 10
of 3 846
pro vyhledávání: '"A. Koneru"'
Autor:
Wang, Xinyu, Zhang, Wenbo, Koneru, Sai, Guo, Hangzhi, Mingole, Bonam, Sundar, S. Shyam, Rajtmajer, Sarah, Yadav, Amulya
With the rise of AI-generated content spewed at scale from large language models (LLMs), genuine concerns about the spread of fake news have intensified. The perceived ability of LLMs to produce convincing fake news at scale poses new challenges for
Externí odkaz:
http://arxiv.org/abs/2410.19250
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies
Recent advancements in NLP have resulted in models with specialized strengths, such as processing multimodal inputs or excelling in specific domains. However, real-world tasks, like multimodal translation, often require a combination of these strengt
Externí odkaz:
http://arxiv.org/abs/2408.11327
In this research short, we examine the potential of using GPT-4o, a state-of-the-art large language model (LLM) to undertake evidence synthesis and systematic assessment tasks. Traditional workflows for such tasks involve large groups of domain exper
Externí odkaz:
http://arxiv.org/abs/2407.12826
Autor:
Koneru, Sai, Nguyen, Thai-Binh, Pham, Ngoc-Quan, Liu, Danni, Li, Zhaolin, Waibel, Alexander, Niehues, Jan
Large Language Models (LLMs) are currently under exploration for various tasks, including Automatic Speech Recognition (ASR), Machine Translation (MT), and even End-to-End Speech Translation (ST). In this paper, we present KIT's offline submission in
Externí odkaz:
http://arxiv.org/abs/2406.16777
Following changes in Twitter's ownership and subsequent changes to content moderation policies, many in academia looked to move their discourse elsewhere and migration to Mastodon was pursued by some. Our study looks at the dynamics of this migration
Externí odkaz:
http://arxiv.org/abs/2406.04005
As social media has become a predominant mode of communication globally, the rise of abusive content threatens to undermine civil discourse. Recognizing the critical nature of this issue, a significant body of research has been dedicated to developin
Externí odkaz:
http://arxiv.org/abs/2405.11030
In the past decade, open science and science of science communities have initiated innovative efforts to address concerns about the reproducibility and replicability of published scientific research. In some respects, these efforts have been successf
Externí odkaz:
http://arxiv.org/abs/2402.08796
Over the past decade, a crisis of confidence in scientific literature has gained attention, particularly in the West. In response, we have seen changes in policy and practice amongst individual researchers and institutions. Greater attention is given
Externí odkaz:
http://arxiv.org/abs/2310.19158
Large Language Models (LLM's) have demonstrated considerable success in various Natural Language Processing tasks, but they have yet to attain state-of-the-art performance in Neural Machine Translation (NMT). Nevertheless, their significant performan
Externí odkaz:
http://arxiv.org/abs/2310.14855
Defects such as grain boundaries (GBs) are almost inevitable during the synthesis process of 2D materials. To take advantage of the fascinating properties of 2D materials, understanding the nature and impact of various GB structures on the pristine 2
Externí odkaz:
http://arxiv.org/abs/2309.17407