Jingwei Ni

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Causal Inferences

Information Retrieval

Top Venues

Publications

Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. ACL (1) (2024)
Markus Leippold, Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Anna Bingler, Jingwei Ni, Chiara Colesanti Senni, Tobias Wekhof, Tobias Schimanski, Glen Gostlow, Tingyu Yu, Jürg Luterbacher, Christian Huggel
Automated Fact-Checking of Climate Change Claims with Large Language Models. CoRR (2024)
Tobias Schimanski, Jingwei Ni, Roberto Spacey, Nicola Ranger, Markus Leippold
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures. CoRR (2024)
Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. ACL (1) (2024)
Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold
DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. CoRR (2024)
Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. CoRR (2024)
Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. CoRR (2024)
Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. CoRR (2023)
Saeid Ashraf Vaghefi, Qian Wang, Veruska Muccione, Jingwei Ni, Mathias Kraus, Julia Anna Bingler, Tobias Schimanski, Chiara Colesanti Senni, Nicolas Webersinke, Christian Huggel, Markus Leippold
chatIPCC: Grounding Conversational AI in Climate Science. CoRR (2023)
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. CoRR (2023)
Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
Paradigm Shift in Sustainability Disclosure Analysis: Empowering Stakeholders with CHATREPORT, a Language Model-Based Tool. CoRR (2023)
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. ACL (1) (2023)
Jingwei Ni, Julia Anna Bingler, Chiara Colesanti Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. EMNLP (Demos) (2023)
Tobias Schimanski, Chiara Colesanti Senni, Glen Gostlow, Jingwei Ni, Tingyu Yu, Markus Leippold
Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures. CoRR (2023)
Zhong Ji, Jingwei Ni, Xiyao Liu, Yanwei Pang
Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning. Frontiers Comput. Sci. 17 (2) (2022)
Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. NAACL-HLT (2022)
Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. CoRR (2022)
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. EMNLP (1) (2021)
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. CoRR (2021)