| ChatClimate: Grounding conversational AI in climate science SA Vaghefi, D Stammbach, V Muccione, J Bingler, J Ni, M Kraus, S Allen, ... Communications Earth & Environment 4 (1), 480, 2023 | 178 | 2023 |
| CHATREPORT: Democratizing sustainability disclosure analysis through LLM-based tools J Ni, J Bingler, C Colesanti-Senni, M Kraus, G Gostlow, T Schimanski, ... arXiv preprint arXiv:2307.15770, 2023 | 84* | 2023 |
| Causal direction of data collection matters: Implications of causal and anticausal learning for NLP Z Jin, J von Kügelgen, J Ni, T Vaidhya, A Kaushal, M Sachan, ... arXiv preprint arXiv:2110.03618, 2021 | 42 | 2021 |
| Afacta: Assisting the annotation of factual claim detection with reliable llm annotators J Ni, M Shi, D Stammbach, M Sachan, E Ash, M Leippold arXiv preprint arXiv:2402.11073, 2024 | 36 | 2024 |
| Towards faithful and robust llm specialists for evidence-based question-answering T Schimanski, J Ni, M Kraus, E Ash, M Leippold arXiv preprint arXiv:2402.08277, 2024 | 35 | 2024 |
| Automated fact-checking of climate change claims with large language models M Leippold, SA Vaghefi, D Stammbach, V Muccione, J Bingler, J Ni, ... arXiv preprint arXiv:2401.12566, 2024 | 31* | 2024 |
| Lexam: Benchmarking legal reasoning on 340 law exams Y Fan, J Ni, J Merane, Y Tian, Y Hermstrüwer, Y Huang, M Akhtar, ... arXiv preprint arXiv:2505.12864, 2025 | 20 | 2025 |
| Using AI to assess corporate climate transition disclosures CC Senni, T Schimanski, J Bingler, J Ni, M Leippold Environmental Research Communications 7 (2), 021010, 2025 | 18* | 2025 |
| Original or translated? a causal analysis of the impact of translationese on machine translation performance J Ni, Z Jin, M Freitag, M Sachan, B Schölkopf arXiv preprint arXiv:2205.02293, 2022 | 16 | 2022 |
| ClimRetrieve: A benchmarking dataset for information retrieval from corporate climate disclosures T Schimanski, J Ni, RS Martín, N Ranger, M Leippold Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 13 | 2024 |
| Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead V Muccione, SA Vaghefi, J Bingler, SK Allen, M Kraus, G Gostlow, ... Regional Environmental Change 24 (3), 121, 2024 | 13 | 2024 |
| DIRAS: Efficient LLM annotation of document relevance for retrieval augmented generation J Ni, T Schimanski, M Lin, M Sachan, E Ash, M Leippold Proceedings of the 2025 Conference of the Nations of the Americas Chapter of …, 2025 | 11* | 2025 |
| Exploring nature: Datasets and models for analyzing nature-related disclosures T Schimanski, CC Senni, G Gostlow, J Ni, T Yu, M Leippold arXiv preprint arXiv:2312.17337, 2023 | 9 | 2023 |
| When does aggregating multiple skills with multi-task learning work? A case study in financial NLP J Ni, Z Jin, Q Wang, M Sachan, M Leippold arXiv preprint arXiv:2305.14007, 2023 | 9 | 2023 |
| Apertus: Democratizing open and compliant llms for global language environments A Hernández-Cano, A Hägele, A Hao Huang, A Romanou, AJ Solergibert, ... arXiv e-prints, arXiv: 2509.14233, 2025 | 7 | 2025 |
| Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? J Ni, Y Fan, V Zouhar, D Rooein, A Hoyle, M Sachan, M Leippold, D Hovy, ... arXiv preprint arXiv:2506.19467, 2025 | 4* | 2025 |
| Balancing Truthfulness and Informativeness with Uncertainty-Aware Instruction Fine-Tuning T Wu, J Ni, B Hooi, J Zhang, E Ash, SK Ng, M Sachan, M Leippold arXiv preprint arXiv:2502.11962, 2025 | 3* | 2025 |
| Co-detect: Collaborative discovery of edge cases in text classification C Xiong, J Ni, Y Fan, V Zouhar, D Rooein, L Calvo-Bartolomé, AM Hoyle, ... Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 1 | 2025 |
| Proceedings of the 2nd Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2025) K Dutia, P Henderson, M Leippold, C Manning, G Morio, V Muccione, J Ni, ... Proceedings of the 2nd Workshop on Natural Language Processing Meets Climate …, 2025 | 1 | 2025 |
| pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs T Schimanski, I Kolli, J Ni, Y Fan, AS Vaghefi, E Ash, M Leippold arXiv preprint arXiv:2601.02285, 2026 | | 2026 |
