NeurIPS Submission · arXiv Preprint
I am currently pursuing a second bachelor's degree in Data Science and Big Data Technology at China University of Petroleum (Beijing), after completing a B.A. in English at the same university. I am working on research projects related to vision-language models, large language models, and multimodal AI, with current experience in VLM robustness evaluation, LLM-based generation systems, and retrieval-augmented reasoning.
My research interests include computer vision, large language models, retrieval-augmented generation, artificial intelligence, and embodied AI. I am especially interested in various applications of large language models.
I am looking for 2027 PhD opportunities, research internships, visiting student positions, and research assistant opportunities, especially in LLM applications and RAG.
NeurIPS Submission · arXiv Preprint
NeurIPS Submission · arXiv Submission Preview
ACM MM Submission · arXiv Preprint
ACM MM Submission · arXiv Preprint
Led an LLM-based system covering rating prediction, explanation generation, LLM-as-judge evaluation, semantic feedback, and DPO signal construction. The project explores how LLMs can generate faithful and decision-relevant explanations.
Designed a citation-grounded QA benchmark and RAG evaluation toolkit for Chinese academic documents, comparing lexical retrieval, BM25, dense retrieval, cross-encoder reranking, and structure-aware retrieval under draft and noisy PDF settings.
I am actively seeking 2027 PhD opportunities, research internships, visiting student positions, and research assistant opportunities, especially in LLM applications and RAG.
Email: 1404293404 [at] qq [dot] com