5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Parametric Knowledge in RAG-SFT for Domain-Specific Document Generation
Julian Oestreich, Maximilian Bley, Frank Binder +3
Retrieval-Augmented Generation (RAG) fine-tuning has shown substantial improvements over vanilla RAG, yet most studies target document question answering, leaving open whether thes…
cs.CL2025
Evaluating Structured Decoding for Text-to-Table Generation: Evidence from Three Datasets
Julian Oestreich, Lydia Müller
We present a comprehensive evaluation of structured decoding for text-to-table generation with large language models (LLMs). While previous work has primarily focused on unconstrai…
cs.CL2021★ 5 cited
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
Christopher Schröder, Kim Bürgl, Yves Annanias +7
Open pit mines left many regions worldwide inhospitable or uninhabitable. To put these regions back into use, entire stretches of land must be renaturalized. For the sustainable su…