Jingwei Ni

31 papers A* 1Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
EACL (Volume 1: Long Papers)
Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash
2026 J jnl
Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills.
CoRR
Jingwei Ni, Yihao Liu, Xinpeng Liu, Yutao Sun, Mengyu Zhou, Pengyu Cheng, Dexin Wang, Erchao Zhao, Xiaoxi Jiang, Guanjun Jiang
2026 J jnl
When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation.
CoRR
Mubashara Akhtar, Anka Reuel, Prajna Soni, Sanchit Ahuja, Pawan Sasanka Ammanamanchi, Ruchit Rawal, Vilém Zouhar, Srishti Yadav, Chenxi Whitehouse, Dayeon Ki, Jennifer Mickel, Leshem Choshen, Marek Suppa, Jan Batzner, Jenny Chim, Jeba Sania, Yanan Long, Hossein A. Rahmani, Christina Knight, Yiyang Nan, Jyoutir Raj, Yu Fan, Shubham Singh, Subramanyam Sahoo, Eliya Habba, Usman Gohar, Siddhesh Pawar, Robert Scholz, Arjun Subramonian, Jingwei Ni, Mykel J. Kochenderfer, Sanmi Koyejo, Mrinmaya Sachan, Stella Biderman, Zeerak Talat, Avijit Ghosh, Irene Solaiman
2026 J jnl
pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs.
CoRR
Tobias Schimanski, Imene Kolli, Yu Fan, Saeid Ario Vaghefi, Jingwei Ni, Elliott Ash, Markus Leippold
2025 J jnl
Can Large Language Models Capture Human Annotator Disagreements?
CoRR
Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash
2025 — conf
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification.
EMNLP (System Demonstrations)
Chenfei Xiong, Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash
2025 J jnl
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification.
CoRR
Chenfei Xiong, Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash
2025 — conf
DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation.
NAACL (Long Papers)
Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2025 J jnl
LEXam: Benchmarking Legal Reasoning on 340 Law Exams.
CoRR
Yu Fan, Jingwei Ni, Jakob Merane, Etienne Salimbeni, Yang Tian, Yoan Hermstrüwer, Yinya Huang, Mubashara Akhtar, Florian Geering, Oliver Dreyer, Daniel Brunner, Markus Leippold, Mrinmaya Sachan, Alexander Stremitzer, Christoph Engel, Elliott Ash, Joel Niklaus
2025 J jnl
Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning.
CoRR
Tianyi Wu, Jingwei Ni, Bryan Hooi, Jiaheng Zhang, Elliott Ash, See-Kiong Ng, Mrinmaya Sachan, Markus Leippold
2025 J jnl
Reasoning with Confidence: Efficient Verification of LLM Reasoning Steps via Uncertainty Heads.
CoRR
Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan
2025 J jnl
WeatherArchive-Bench: Benchmarking Retrieval-Augmented Reasoning for Historical Weather Archives.
CoRR
Yongan Yu, Xianda Du, Qingchen Hu, Jiahao Liang, Jingwei Ni, Dan Qiang, Kaiyu Huang, Grant McKenzie, Renée Sieber, Fengran Mo
2024 — conf
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators.
ACL (1)
Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2024 J jnl
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators.
CoRR
Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2024 J jnl
Automated Fact-Checking of Climate Change Claims with Large Language Models.
CoRR
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
2024 A* conf
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures.
EMNLP
Tobias Schimanski, Jingwei Ni, Roberto Martín, Nicola Ranger, Markus Leippold
2024 J jnl
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures.
CoRR
Tobias Schimanski, Jingwei Ni, Roberto Spacey, Nicola Ranger, Markus Leippold
2024 J jnl
DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation.
CoRR
Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2024 — conf
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering.
ACL (1)
Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold
2024 J jnl
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering.
CoRR
Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold
2023 — conf
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools.
EMNLP (Demos)
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
2023 J jnl
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools.
CoRR
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
2023 J jnl
Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures.
CoRR
Tobias Schimanski, Chiara Colesanti Senni, Glen Gostlow, Jingwei Ni, Tingyu Yu, Markus Leippold
2023 — conf
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP.
ACL (1)
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
2023 J jnl
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP.
CoRR
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
2023 J jnl
chatClimate: Grounding Conversational AI in Climate Science.
CoRR
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
2022 — conf
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance.
NAACL-HLT
Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
2022 J jnl
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance.
CoRR
Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
2022 J jnl
Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning.
Frontiers Comput. Sci.
Zhong Ji, Jingwei Ni, Xiyao Liu, Yanwei Pang
2021 — conf
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
EMNLP (1)
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
2021 J jnl
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
CoRR
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf