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 | 72 | 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 | 36 | 2021 |
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 | 32 | 2023 |
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 | 16 | 2024 |
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 Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 13 | 2022 |
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 | 11 | 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 | 9 | 2024 |
Paradigm shift in sustainability disclosure analysis: empowering stakeholders with chatreport, a language model-based tool J Ni, J Bingler, C Colesanti-Senni, M Kraus, G Gostlow, T Schimanski, ... arXiv preprint arXiv:2306.15518, 2023 | 5 | 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 | 5 | 2023 |
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 | 4 | 2023 |
chatIPCC: Grounding Conversational AI in Climate Science SA Vaghefi, Q Wang, V Muccione, J Ni, M Kraus, J Bingler, T Schimanski, ... arXiv preprint arXiv:2304.05510, 2023 | 4 | 2023 |
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 | 3 | 2024 |
Combining AI and Domain Expertise to Assess Corporate Climate Transition Disclosures C Colesanti Senni, T Schimanski, J Bingler, J Ni, M Leippold Available at SSRN 4826207, 2024 | 2 | 2024 |
ChatClimate: Grounding Conversational AI in Climate Science V Muccione, D Stammbach, J Ni, M Kraus, J Bingler, S Allen, ... | 2 | 2023 |
Financial time series prediction model based recurrent neural network C Chaozhi, G Yachun, J Ni 2020 17th International Computer Conference on Wavelet Active Media …, 2020 | 1 | 2020 |
Using AI to assess corporate climate transition disclosures C Colesanti Senni, T Schimanski, J Bingler, J Ni, M Leippold Environmental Research Communications, 2024 | | 2024 |
Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024) D Stammbach, J Ni, T Schimanski, K Dutia, A Singh, J Bingler, ... Proceedings of the 1st Workshop on Natural Language Processing Meets Climate …, 2024 | | 2024 |
DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation J Ni, T Schimanski, M Lin, M Sachan, E Ash, M Leippold arXiv preprint arXiv:2406.14162, 2024 | | 2024 |
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures T Schimanski, J Ni, R Spacey, N Ranger, M Leippold arXiv preprint arXiv:2406.09818, 2024 | | 2024 |
Combining ai and domain expertise to assess corporate climate transition disclosures CC Senni, T Schimanski, J Bingler, J Ni, M Leippold Swiss Finance Institute Research Paper Series, 2024 | | 2024 |