Gast ::
| 001 | 1012882 | ||
| 005 | 20260123110548.0 | ||
| 024 | 7 | _ | |2 DOI |a 10.18653/v1/2025.climatenlp-1.17 |
| 024 | 7 | _ | |2 ISBN |a 979-8-89176-259-6 |
| 037 | _ | _ | |a RWTH-CONV-254805 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)IDM04434 |a Thulke, David |b 0 |e Corresponding author |u rwth |
| 111 | 2 | _ | |a 2. Workshop on Natural Language Processing Meets Climate Change |c Vienna |d 2025-07-31 - 2025-07-31 |g ClimateNLP 2025 |w Austria |
| 245 | _ | _ | |a Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions |h online, print |
| 260 | _ | _ | |a Vienna, Austria |c 2025 |
| 295 | 1 | 0 | |a The 2ndWorkshop on Natural Language Processing Meets Climate Change : ClimateNLP 2025 : proceedings of the workshop : July 31, 2025 / Kalyan Dutia, Peter Henderson, Markus Leippold, Christoper Manning, Gaku Morio, Veruska Muccione, Jingwei Ni, Tobias Schimanski, Dominik Stammbach, Alok Singh, Alba (Ruiran) Su, Saeid A. Vaghefi (Editors) |
| 300 | _ | _ | |a 245-259 |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
| 336 | 7 | _ | |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |a Contribution to a book |
| 336 | 7 | _ | |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |a Contribution to a conference proceedings |b contrib |m contrib |
| 336 | 7 | _ | |2 BibTeX |a INPROCEEDINGS |
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| 591 | _ | _ | |a Germany |
| 700 | 1 | _ | |0 P:(DE-82)1016551 |a Kemmler, Jakob |b 1 |e Corresponding author |u rwth |
| 700 | 1 | _ | |a Dugast, Christian |b 2 |e Corresponding author |
| 700 | 1 | _ | |0 P:(DE-82)IDM01519 |a Ney, Hermann |b 3 |e Corresponding author |u rwth |
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| 914 | 1 | _ | |y 2025 |
| 920 | 1 | _ | |0 I:(DE-82)122010_20140620 |k 122010 |l Lehrstuhl für Maschinelles Lernen und Inferenz (Informatik 6) |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)120000_20140620 |k 120000 |l Fachgruppe Informatik |x 1 |
| 970 | _ | _ | |a thulke2025:listenContext-RWTHp |
| 980 | _ | _ | |a I:(DE-82)120000_20140620 |
| 980 | _ | _ | |a I:(DE-82)122010_20140620 |
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