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| Qu Yijia | 曲 奕嘉 | M.Thesis: Transforming English Math Word Problems into Japanese Observing Cultural Differences and Grade Skills, September 2026. |
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| Zeng Shihan | 曾 詩涵 | M.Thesis: Dynamic User Profiling for Book Recommendation Systems via Large Language Models, September 2026. |
| Tu Duo | 塗 多 | M.Thesis: EFC-SMT: A Neuro-Symbolic Framework for Verifying Logical Inconsistencies in Fake News, September 2026. |
| Ma Xiaolong | 馬 暁龍 | M.Thesis: Mathematical Misconception Mining via Agentic Data Augmentation and Generative Reranking, September 2026. |
| Yang Guowei | 陽 國威 | M.Thesis: LAPM: Lightweight Alignment Projection Modules for Dimensionality Reduction in Multimodal Retrieval, September 2026. |
| Yan Ranyudi | 顔 冉羽笛 | M.Thesis: Automatic Essay Evaluation via Rubric-to-Checklist Generation with LLMs, September 2026. |
| Li Zhe | 李 哲 | M.Thesis: Self-iterative Self-Fact Guided Conflict Detection and Verification for Robust Question Answering under Noisy Context, September 2026. |
| Ying Jiaxuan | 応 嘉譞 | M.Thesis: A Multi-Layered Agentic Memory Architecture: Integrating Dynamic Memory Evolution via Prompt Engineering, March 2026. |
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| Tao Hongjie | 陶 泓潔 | M.Thesis: Game Review Recommendation via Personalized Sentiment-Aware Graphs with Lightweight LLM-Guided Text-Enhanced GCN, March 2026. |
| Zhang Chaofan | 張 超凡 | M.Thesis: Improving Question Answering via Knowledge Graph Retrieval with Ontology Information, March 2026. |
| Xiong Zhipeng | 熊 志鵬 | M.Thesis: Situational Immersion Method for Commonsense Question Answering： Enhancing Chain-of-Thought via Situation Understanding, October 2025. |
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| Shi Zifeng | 石 紫鋒 | M.Thesis: LightVideoRAG: Low-Resource Long Video Retrieval via Adaptive Sampling and Multimodal Embedding, October 2025. |
| Chen Lanyu | 陳 藍玉 | M.Thesis: Generating Math Word Problems from Arithmetic Equation and its Validation Method, October 2025. |
| Chen Chen | 陳 晨 | M.Thesis: Mapping Wikipedia Categories and Lists to Fine-grained and Union Classes of DBpedia - Multiple-LLM Approach , October 2025 |
| Peng Ziming | 彭 子銘 | M.Thesis: Multi-Label Few-Shot Aspect Category Detection Utilizing Embeddings from Large Language Models, October 2025 |
| Li Xueyi | 李 雪怡 | M.Thesis: Sequential Recommendation Enhanced by LLM-Based Historical Summarization, October 2025 |
| Li Dan | 李 丹 | M.Thesis: Dimension Reduction of LLM Embeddings for Keyphrase Generation, October 2025 |
| Zhang Ying | 张 颖 | M.Thesis: Table Annotation Utilizing Large Language Model and Knowledge Graph, February 2025 |
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| Wang Weixi | 王 韡熙 | M.Thesis: RAG Pipeline for Ontology-guided LLM-based Knowledge Graph Extraction, February 2025 |
| Shan Kexiang | 単 柯翔 | M.Thesis: Mapping Wikipedia Categories and Lists to DBpedia Classes by Utilizing LLMs and Hierarchy Information, February 2025 |
| Shin Dongha | 申 東夏 | M.Thesis: Semi-Automatic Generation of Math Word Problems for Finding Reasoning Errors in Large Language Models, February 2025 |
| Xu Zhewei | 徐 哲煒 | D.Thesis :Weakly Supervised Document Classification Leveraging Semantic Information in Pretrained Language Models, October 2024 |
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| Li Jiahao | 李 嘉豪 | M.Thesis:Enhancing Encoder-Decoder Models for Extreme Multi-Label Classification with Splitting Label Words, July 2024 |
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| Zou Donglin | 鄒 東麟 | M.Thesis: Mapping Wikipedia Categories and Lists to DBpedia Ontology with Large Language Models, July 2024 |
| Hu Guangjing | 胡 广靖 | M.Thesis: Enhancing Emotion Classification through LLaMa3 based LoRA-in-Mixture-of-Experts model, July 2024 |
| Wang Yifei | 王 芸霏 | M.Thesis: Evaluating Performance of Large Language Models for Aspect-Based Sentiment Analysis, July 2024 |
| Zhang Yixin | 張 亦昕 | M.Thesis: Finetuning Large Language Models for Keyphrase Generation under Supervised and Unsupervised Scenarios, July 2024 |
| Chen Ke | 陳 可 | M.Thesis: SumLTX-AO : Aspect-Based Summarization on Long Documents, July 2024 |
| Zhu Guangyao | 朱 光耀 | M.Thesis: Authorship Verification Based on Dense Document Representation and Capsule Network, February 2024 |
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| Zhou Xiongtao | 周 雄濤 | M.Thesis: A Study on Explainability of Large Language Models over Sentiment Analysis Thorough Instabilities on Prompting Texts, February 2024 |
| Xiao Yu | 肖 雨 | M.Thesis:Enhancing Emotion Classification on GoEmotions Dataset through Data Augmentation with Large Language Model, February 2024 |
| Zhao Yanan | 赵 雅楠 | M.Thesis: Empowering Zero-Shot Extreme Multi-Label Text Classification via Weighted Contrastive Learning and Semantic Label Augmentation, February 2024 |
| Chen Bin | 陳 斌 | M.Thesis: Enhancing Keyphrase Generation by BART Finetuning with Splitting and Shuffling, July 2023 |
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| Wang Zhaoyi | 王 昭懿 | M.Thesis: SLHCat: Mapping Wikipedia Categories and Lists to DBPedia by Leveraging Semantic, Lexical, and Hierarchical Features, July 2023 |
| Liu Yuxuan | 劉 宇軒 | M.Thesis: Composite Retriever with Indirect Linker for Hybrid Open Domain Question Answering, July 2023 |
| Dai Xiangting | 代 相廷 | M.Thesis: LG-XMC: Semantic-Guided Label Generation and Negative Sampling for Extreme Multi-Label Classification using Generative Models, July 2023 |
| Chen Weichao | 陳 偉超 | M.Thesis: Efficient Summarization of Long Documents Using Hybrid Extractive-Abstractive Method, July 2023 |
| Shen Shuyang | 沈 書楊 | M.Thesis: Fine-grained Column Type Annotation Using Multiple Knowledge Graphs, July 2023 |
| Yang Rui | 楊 瑞 | M.Thesis: Detection of Emotion-Related Passages in GoEmotions Dataset for Fine-Grained Emotions, July 2023 |
| Wang Luyao | 王 璐瑶 | M.Thesis: Soft and Hard Prompting for Document Classification with Only Label Names, July 2023 |
| Yue Yanghongbo | 岳 楊鴻博 | M.Thesis: Authorship attribution analysis and POS sensitivity analysis based on improved multi-layer capsule network and pre-trained model, July 2023 |
| Wang Zeyu | M.Thesis: Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation | |
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| Zhang Zhenyang | 張 鎮洋 | M.Thesis: Mapping Wikipedia Categories and Lists to DBPedia Ontology Based on Structural and Semantic Features |
| Li Jiaxin | 李 佳欣 | M.Thesis:Answer Prediction for Commonsense Multiple-Choice Questions by Utilizing Pretrained Language Model, Knowledge Graph and Additional Information |