Jia-Ling Shi (史佳灵)

Jia-Ling Shi (史佳灵)

Undergraduate Student at Beijing Institute of Technology

About Me

I am a senior undergraduate at Beijing Institute of Technology. My primary research interests are generative retrieval system evaluation and research evaluation for scientific peer review.

Snapshot

Education

  • B.S. in Computer Science, Beijing Institute of Technology
  • Class of 2026 (Expected)
  • Beijing, China

Research Focus

  • Generative Retrieval System Evaluation
  • Research Evaluation for Scientific Peer Review
  • Natural Language Processing
  • Large Language Models

Collaboration

  • Open to research internships & collaborations
  • Enthusiastic about interdisciplinary teamwork
  • Passionate about creating measurable impact with AI

Technical Stack

Programming Languages

Python Java C++ JavaScript Kotlin Dart

Frameworks & Libraries

PyTorch TensorFlow Transformers LangChain

Web Development

Vue.js Spring Boot Flask

Tools & Platforms

Git Docker Linux CUDA

Databases

MySQL MongoDB

ResearchRadar

ArXiv intelligence tool that tracks multi-week trends, clusters papers into topic maps, and answers research questions via local RAG. Supports Ollama, DeepSeek, and OpenAI — all data stored locally.

Python RAG TypeScript
GitHub

G-CoS

Interpretable gain-cost framework for user satisfaction estimation in generative information retrieval, accepted as a SIGIR 2026 short paper.

IR LLM Evaluation
GitHub Paper

ReviewLLM

Designed a large language model pipeline that drafts high-quality academic peer reviews, combining retrieval-augmented prompts with rubric-aware critique generation.

NLP LLM RAG

心迹 · Diary

Privacy-focused personal diary web app with rich-text editing, mood tracking, tag classification, calendar check-in, and writing statistics. Fully Dockerized with React + Node.js + PostgreSQL.

React Node.js PostgreSQL
GitHub

Get in Touch

I love discussing research collaborations, creative AI applications, and opportunities to bring large language models into real-world workflows. Reach out via email or connect with me on GitHub.