Yu-Chien (Tommy) Tang

Yu-Chien (Tommy) Tang

3rd-year Ph.D. Student 路 Institute of Computer Science and Engineering
National Yang Ming Chiao Tung University (NYCU), Taiwan

I am a 3rd-year Ph.D. student in Computer Science at National Yang Ming Chiao Tung University (NYCU), advised by Prof. An-Zi Yen. My research interests center on large language models, information retrieval, question answering, and multimodal assistant.

Before starting my Ph.D., I worked on LLM-driven business intelligence systems at TSMC and language-model classification systems at MediaTek. I am broadly interested in building reliable NLP systems that connect research ideas with practical user-facing workflows.

Research Interests

News

  • 2026
    馃帀 Three papers accepted by EMNLP 2026: one Main, one Findings, and one Demo.
  • 2026
    Paper accepted to EACL 2026: MathEDU.
  • 2026
    Student abstract accepted to AAAI 2026 on LLM behavior under malicious multiple-choice options.
  • 2025
    Paper accepted to SIGIR 2025 on template-based financial report generation.
  • 2025
    Selected for the AAAI Student Scholar & Volunteer Program.
  • 2024
    Awarded the NSTC Graduate Research Fellowship.
  • 2023
    Paper accepted to Findings of EMNLP 2023: RSVP.

Selected Publications

VDAR-Router workflow from query difficulty analysis and retrieval to model reward ranking.

VDAR-Router: Adaptive LLMs Routing via Verbalized Query Difficulty Analysis Retrieval

Yu-Chien Tang, Jun-Chen Hung, Wen-Chih Peng, An-Zi Yen
Findings of EMNLP 2026

Routes each query to an appropriate LLM by verbalizing its difficulty, retrieving difficulty-matched examples, and balancing performance against cost.

EgoArgus overview showing five assistance scenarios and the benchmark's context understanding, next-action prediction, and intervention-decision tasks.

EgoArgus: Benchmarking VLMs as Situational Assistants for Modality-Grounded User Supports

Yu-Chien Tang, Yu-Hsiang Liu, An-Zi Yen
EMNLP 2026 Main Conference

Introduces a human-annotated benchmark for evaluating whether vision-language models can ground daily-assistance decisions in the most trustworthy visual and dialogue evidence.

VISTA workflow from scenario design through auditable egocentric assistance-video generation.

VISTA: A Controllable Platform for Generating and Auditing Egocentric Assistance Scenarios

Yu-Hsiang Liu, Yu-Chien Tang, An-Zi Yen
EMNLP 2026 Demo

Presents an inspectable platform for generating and auditing editable egocentric assistance scenarios, including plans, videos, and review trails.

ConceptKT question distribution across thirteen mathematical and scientific categories.

ConceptKT: A Benchmark for Concept-Level Deficiency Prediction in Knowledge Tracing

Yu-Chen Kang, Yu-Chien Tang, An-Zi Yen
LREC 2026

Introduces concept-level deficiency prediction and a benchmark for diagnosing the concepts students are likely to struggle with on future problems.

OI-Bench example showing how an injected misleading option changes an LLM answer.

OI-Bench: An Option Injection Benchmark for Evaluating LLM Susceptibility to Directive Interference

Yow-Fu Liou, Yu-Chien Tang, Yu-Hsiang Liu, An-Zi Yen
arXiv preprint, 2026

Presents a 3,000-question benchmark with 16 directive types for measuring and mitigating LLM susceptibility to misleading multiple-choice options.

MathEDU paper figure showing a model feedback example.

MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support

Wei-Ling Hsu, Yu-Chien Tang, An-Zi Yen
EACL 2026

Studies feedback generation for mathematical learning support using authentic student solutions and teacher feedback.

Obedience or Vigilance? How Large Language Models React to Malicious Multiple-Choice Options

Yow-Fu Liou, Yu-Chien Tang, An-Zi Yen
AAAI 2026 Student Abstract

Analyzes how LLMs react when multiple-choice options include malicious or misleading choices.

AgenticIR framework architecture from the paper.

Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval

Yong-En Tian*, Yu-Chien Tang*, Kuang-Da Wang, An-Zi Yen, Wen-Chih Peng
SIGIR 2025

Compares agentic and decomposed information-retrieval workflows for generating structured financial reports.

RSVP framework architecture with response retrieval and response generation.

RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training

Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen, Wen-Chih Peng
Findings of EMNLP 2023

Uses agent responses for contrastive and generative pre-training in customer intent detection.

Experience

AI Engineer

TSMC 路 Jan 2024 - Apr 2025
NLP, LLM, DevOps

Developed an LLM-driven chatbot for business intelligence use cases, including cross-document summarization and question answering with RAG.

Machine Learning & Deep Learning Engineer Intern

MediaTek 路 Sep 2022 - Mar 2023
NLP, Distributed Computing

Fine-tuned language models to classify engineer queries automatically.

Database and Backend Developer

NCAP, NYCU CS 路 Jul 2021 - Jun 2022
Django, Docker, MySQL, Shell, Git

Built backend and database systems for an alumni communication platform.

Scholarships & Awards

  • 2025
    AAAI Student Scholar & Volunteer Program
  • 2024
    NSTC Graduate Research Fellowship Program
  • 2023
    Appier Artificial Intelligence and Information Technology Top Research Award Program
  • 2023
    AAAI Student Scholar & Volunteer Program
  • 2020
    MOST College Student Research Scholarship Program

Services

Reviewer

  • AAAI 2027
  • EACL 2027
  • ICLR 2027
  • AAAI 2026
  • EACL 2026
  • EMNLP 2026
  • ROCLING 2026
  • SIGIR 2026
  • ACL 2025
  • EMNLP 2025
  • IJCAI 2025
  • ROCLING 2025

Teaching Assistant

  • Introduction to NLP (2026, 2024)
  • Information Retrieval (2025)
  • Data Science Project (2022)
  • Introduction to Database System (2021)

Contact