Process Reward Modeling in LLMs
Module Description
| Course | Module Abbreviation | Credit Points |
|---|---|---|
| BA-2010[100%|75%] | CS-CL | 6 LP |
| BA-2010[50%] | BS-CL | 6 LP |
| BA-2010[25%] | BS-AC | 4 LP |
| BA-2010 | AS-CL | 8 LP |
| Master | SS-CL-TAC | 8 LP |
| Lecturer | Lei Tang |
| Module Type | Proseminar / Hauptseminar |
| Language | English |
| First Session | 16.04.2026 |
| Time and Place | Thursday, 15:15 - 16:45, INF 326 / SR 27 |
| Commitment Period | tbd. |
Participants
All advanced CL Bachelor students and all CL master students. Students from MSc Data and Computer Science or MSc Scientific Computing with Field of Application Computational Linguistics are welcome after getting permission from the lecturer. MSc Scientific Computing students can only take the course as HS for 8 LP. If the seminar should be oversubscribed, CL students will have priority.
Prerequisites for Participation
- Statistical Natural Language Processing
- Basic Knowledge in Neural Networks
Assessment
- Presentation (50%)
- Project (50%)
Content
Recent advances in Large Language Models (LLMs) suggest that Process Reward Models (PRMs) offer a promising approach to verifying intermediate reasoning steps and enhancing model performance. In this seminar, we will provide a systematic review of foundational and influential papers on PRMs.
