| 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 | 25 | 2021 |
| 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 | 22 | 2023 |
| 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 | 9 | 2022 |
| 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 | 7 | 2023 |
| 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 | 3 | 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 | 3 | 2023 |
| ChatClimate: Grounding Conversational AI in Climate Science V Muccione, D Stammbach, J Ni, M Kraus, J Bingler, S Allen, ... | 2 | 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 | 2 | 2023 |
| 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 | 1 | 2024 |
| 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 |
| 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 | | 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 | | 2024 |
| 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 | | 2023 |
| 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 |
