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Jingwei Ni
Jingwei Ni
Doctoral Researcher in NLP, ETH Zurich
Verified email at gess.ethz.ch - Homepage
Title
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Cited by
Year
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
422023
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
282021
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
132023
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
112022
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
42024
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
42023
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
32023
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
22024
ChatClimate: Grounding Conversational AI in Climate Science
V Muccione, D Stammbach, J Ni, M Kraus, J Bingler, S Allen, ...
22023
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
22023
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
12024
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
12023
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
12020
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
C Colesanti Senni, T Schimanski, J Bingler, J Ni, M Leippold
Available at SSRN 4826207, 2024
2024
chatIPCC: Grounding Conversational AI in Climate Science
S Ashraf Vaghefi, Q Wang, V Muccione, J Ni, M Kraus, J Bingler, ...
arXiv e-prints, arXiv: 2304.05510, 2023
2023
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