Webis

Code and data for the SIGIR'26 best student paper "Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs".

Code for the EMNLP 2026 paper "The Impostors Method as a Statistical Test for Authorship Verification With Large Language Models as Sampling Source for Hard Negatives".

The Webis Group Website.

Generic Webis Website Assets

↕️ Intuitive axiomatic retrieval experimentation.

One-stop shop for running and fine-tuning transformer-based language models for retrieval

📜 The Archive Query Log.