Martin Potthast
@martin-potthast.com
Professor at the University of Kassel, https://hessian.AI, and https://ScaDS.AI. Member of @webis.de
Research in information retrieval #IR, natural language processing #NLP, and artificial intelligence.
Research in information retrieval #IR, natural language processing #NLP, and artificial intelligence.
Seconded.
If it needs to be separate from other situations where induction occurs, then maybe:
In-context induction, though that does not differentiate it too well from the model's inference run itself.
Maybe: Inductive prompting?
If it needs to be separate from other situations where induction occurs, then maybe:
In-context induction, though that does not differentiate it too well from the model's inference run itself.
Maybe: Inductive prompting?
November 16, 2025 at 11:22 AM
Seconded.
If it needs to be separate from other situations where induction occurs, then maybe:
In-context induction, though that does not differentiate it too well from the model's inference run itself.
Maybe: Inductive prompting?
If it needs to be separate from other situations where induction occurs, then maybe:
In-context induction, though that does not differentiate it too well from the model's inference run itself.
Maybe: Inductive prompting?
ChatGPT gives you little to no predictability of results in how your text changes. Grammarly and DeepL do.
September 14, 2025 at 6:34 AM
ChatGPT gives you little to no predictability of results in how your text changes. Grammarly and DeepL do.
Reposted by Martin Potthast
Honored to win the ICTIR Best Paper Honorable Mention Award for "Axioms for Retrieval-Augmented Generation"!
Our new axioms are integrated with ir_axioms: github.com/webis-de/ir_...
Nice to see axiomatic IR gaining momentum.
Our new axioms are integrated with ir_axioms: github.com/webis-de/ir_...
Nice to see axiomatic IR gaining momentum.
July 18, 2025 at 2:18 PM
Honored to win the ICTIR Best Paper Honorable Mention Award for "Axioms for Retrieval-Augmented Generation"!
Our new axioms are integrated with ir_axioms: github.com/webis-de/ir_...
Nice to see axiomatic IR gaining momentum.
Our new axioms are integrated with ir_axioms: github.com/webis-de/ir_...
Nice to see axiomatic IR gaining momentum.
Reposted by Martin Potthast
We share your concern that LLMs could be prompted to generate responses that are biased in favor of certain products. That is why we are currently organizing a shared task on detecting advertisements in the responses of RAG-based search engines: bsky.app/profile/webi...
Can LLM-generated ads be blocked? With OpenAI adding shopping options to ChatGPT, this question gains further importance.
If you are interested in contributing to the research on LLM-based advertising, please check out our shared task: touche.webis.de/clef25/touch...
More details below.
If you are interested in contributing to the research on LLM-based advertising, please check out our shared task: touche.webis.de/clef25/touch...
More details below.
April 30, 2025 at 12:52 PM
We share your concern that LLMs could be prompted to generate responses that are biased in favor of certain products. That is why we are currently organizing a shared task on detecting advertisements in the responses of RAG-based search engines: bsky.app/profile/webi...