WING's CS6101 Retrieval Augmented Generation comes to a successful close at 27th STePS

WING ran an experimental section of our CS6101 Exploration of Computer Science Research, as a trial course on Retrieval Augmented Generation.

RAG is now a common gateway experience for the general public as well as students to experience Information Retrieval, a core research area of WING.

The CS6101 course website has publicly-available lecture slides, video lecture recordings and scribe notes for the class’s topics.

These include sections on LLM generation, Retreival, Ranking, RAG Models, Iterative Retrieval and Advanced RAG topics (inclusive of graph, multimodal RAG) and source credibility estimation.

Check out the LinkedIn posts by class participants Vangmay Sachin, Jonathan Chen and Sahej Agrawal.

You can also visit the other WING Events, including past public iterations of WING’s CS6101 sections.

Image enhanced and regenerated via Google’s Nano Banana

Min-Yen Kan
Min-Yen Kan
Associate Professor

WING lead; interests include Digital Libraries, Information Retrieval and Natural Language Processing.

Nura Tamton
Nura Tamton
Master Student (Aug ‘25)

Master Student January 2025 Intake

Zihang Fu
Zihang Fu
Research Assistant (Aug ‘25)

Research Assistant

Yisong Miao
Yisong Miao
Doctoral Student (Jan ‘21)

PhD Candidate January 2021 Intake

Tongyao Zhu
Tongyao Zhu
IPP Doctoral Student (Jan ‘23; SEA)

PhD Candidate January 2023 Intake

Jiecheng Jiang
Jiecheng Jiang
Master Student (Aug ‘25)

Master Student August 2025 Intake

Sahajpreet Singh
Sahajpreet Singh
CTIC Doctoral Student (Jan ‘25)
Co-Supervised by Kokil Jaidka

PhD Candidate January 2025 Intake

Sahej Agarwal
Sahej Agarwal
UROP Student (Jan ‘25)

UROP Student