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publications
A Human-Centered Multimodal AutoML Framework for Discriminative and Generative Tasks with Large Language Models
Published in IEEE BIBM, 2026
This paper is about a LLM-driven AutoML pipeline
Recommended citation: J. Guo, L. Zhang and Y. Shen, "A Human-Centered Multimodal AutoML Framework for Discriminative and Generative Tasks with Large Language Models," 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, 2025, pp. 3614-3619, doi: 10.1109/BIBM66473.2025.11356681.
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When Do LLM Agents Treat Surface Noise Differently from Semantic Noise? A 68-Cell Measurement Study with a Held-Out Trace-Level Validation
Published in Submitted to EMNLP 2026, 2026
A controlled measurement study of how LLM agents respond to surface and semantic noise, with held-out trace-level validation.
Recommended citation: L. Zhang and J. Guo, "When Do LLM Agents Treat Surface Noise Differently from Semantic Noise? A 68-Cell Measurement Study with a Held-Out Trace-Level Validation," submitted to EMNLP 2026.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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