12 citations · 33 across the 25 of their papers we have counts for
Showing 2025 · cs.CLShow all
2 papers · 2 filters
cs.CL2025
Can Language Models Critique Themselves? Investigating Self-Feedback for Retrieval Augmented Generation at BioASQ 2025
Samy Ateia, Udo Kruschwitz
Agentic Retrieval Augmented Generation (RAG) and 'deep research' systems aim to enable autonomous search processes where Large Language Models (LLMs) iteratively refine outputs. Ho…
cs.CL2025
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz +1
Aspect sentiment quad prediction (ASQP) facilitates a detailed understanding of opinions expressed in a text by identifying the opinion term, aspect term, aspect category and senti…