Jan Philip Wahle

Dr. Jan Philip Wahle

Dr. Jan Philip Wahle is a faculty member at the University of Göttingen . He received his PhD in Computer Science from the University of Göttingen and has been a visiting researcher at the National Research Council Canada (NRC ) working with Dr. Saif M. Mohammad . Before his PhD, he worked as a software engineer for the autonomous driving company Aptiv PLC . His main research interests lie in computational linguistics and natural language processing with a focus on reasoning methods via reinforcement learning and agentic systems and AI safety via interpretability. His research has been presented at various conferences, including ACL and EMNLP , and won the ACL Best Resource Paper Award and the SemEval Best Task Award .

News

Here are updates about recent activities, such as talks, awards, travels, and workshops.

Publications

My main research interests during my PhD were in language modeling and understanding via paraphrase generation and detection. After my PhD, my main research interests have shifted to reasoning methods via reinforcement learning and agentic systems and AI safety via interpretability. You can also find all my publications on Google Scholar .

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Projects

I am leading several third-party funded research projects focusing on natural language processing, multi-agent systems, AI safety, and low-resource AI.

Paraphrase Types: A New Paradigm for Paraphrase Generation and Detection
DFG
Feb 2026 – Feb 2029
EDIKILEX: AI and Lexicography for Early New High German Texts
MWK
Nov 2025 – Nov 2029
COPILOT: Multi-Agent Assistance System for Process Optimization and Root Cause Analysis in Process Industry
BMWK
Aug 2025 – Nov 2027
Fake News Detection: A Manipulated Content Authenticity System
KNPA
Apr 2025 – Dec 2026

Software

I develop and maintain open-source tools for the research community. These tools help researchers with common academic tasks like tracking deadlines, generating citations, and documenting AI usage.

AI Conference Deadlines
Track submission deadlines for AI, ML, and NLP conferences. Features countdown timers, calendar integration, and customizable notifications.
AI Usage Cards
Generate standardized reports for documenting AI assistance in scientific works. Promotes transparency and responsible AI use in research.
MALLM
Multi-Agent Large Language Model framework for orchestrating debates and discussions between AI agents with configurable decision protocols.
CiteAssist
Automated citation and BibTeX generator for preprints. Instantly create properly formatted citations from arXiv, bioRxiv, and other preprint servers.

Contact

Dr. Jan Philip Wahle
University of Göttingen
Papendiek 14, Office 0.209​
37073 Göttingen, Germany
wahle {at} uni-goettingen {dot} de

Page last updated: February 01, 2026