Publications

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conferences


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.

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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