Jingwei Ni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Apertus: Democratizing Open and Compliant LLMs for Global Language Environments. | Alejandro Hernndez-Cano, Alexander Hgele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert i Llaquet, Barna Psztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Durech, Ido Hakimi, Juan Garcia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolcec, Yixuan Even Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas John Browning, Fabian Bsch, Maximilian Bther, Niklas Canova, Camille Challier, Clment Charmillot, Jonathan Coles, Jan Milan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, Mara Grandury, Diba Hashemi, Alexander Miserlis Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lbeck, Roman Machacek, Theofilos Ioannis Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendona, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Lo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javier Rando, Mathieu Sauser, Jakhongir Saydaliev, Mukhammadali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao, Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas C. Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag |
| 2026 | ACL | Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models. | Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan |
| 2026 | ACL | Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation. | Minjing Shi, Junling Wang, Jingwei Ni, Sankalan Pal Chowdhury, Mrinmaya Sachan |
| 2026 | ACL | ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning. | Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, Minh Ngoc Ta, Ekaterina Fadeeva, Artem Vazhentsev, Daria Galimzianova, Nikolai Rozanov, Viktor Mazanov, Jingwei Ni, Tianyi Wu, Igor Kiselev, Mrinmaya Sachan, Iryna Gurevych, Preslav Nakov, Timothy Baldwin, Artem Shelmanov |
| 2026 | EACL | Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? | Jingwei Ni, Yu Fan, Vilm Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash |
| 2026 | SIGIR | WeatherArchive: A Benchmark for Retrieval-Augmented Reasoning over Historical Weather Archives. | Yongan Yu, Xianda Du, Qingchen Hu, Jiahao Liang, Jingwei Ni, Dan Qiang, Kaiyu Huang, Grant McKenzie, Rene Sieber, Fengran Mo |
| 2025 | EMNLP | Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. | Chenfei Xiong, Jingwei Ni, Yu Fan, Vilm Zouhar, Donya Rooein, Lorena Calvo-Bartolom, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash |
| 2025 | NAACL | DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation. | Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold |
| 2024 | ACL | AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. | Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold |
| 2024 | ACL | Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. | Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold |
| 2024 | EMNLP | ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures. | Tobias Schimanski, Jingwei Ni, Roberto Martn, Nicola Ranger, Markus Leippold |
| 2023 | ACL | When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. | Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold |
| 2023 | EMNLP | CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. | 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 |
| 2022 | NAACL | Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. | Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schlkopf |
| 2021 | EMNLP | Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. | Zhijing Jin, Julius von Kgelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schlkopf |