Zhijing Jin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf. | Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, Xuanqiang Angelo Huang, Vilm Zouhar, Dominik Glandorf, Isabel Dahlgren, Rishit Dagli, Yuen Chen, Felix Leeb, Van Q. Truong, Punya Syon Pandey, Yves Bicker, Suvajit Majumder, Wenyuan Jiang, Zeju Qiu, Sankalan Pal Chowdhury, Mrinmaya Sachan, Bernhard Schlkopf, Mona T. Diab, Zhijing Jin |
| 2026 | ACL | When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models. | Francesco Ortu, Zhijing Jin, Diego Doimo, Alberto Cazzaniga |
| 2026 | ACL | Test of Time: Rethinking Temporal Signal of Benchmark Contamination. | Terry Jingchen Zhang, Gopal Dev, Ning Wang, Max Obreiter, Wenyuan Jiang, Punya Syon Pandey, Keenan Samway, Yinya Huang, Bernhard Schlkopf, Mrinmaya Sachan, Zhijing Jin |
| 2026 | EACL | Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification. | Paul He, Yinya Huang, Mrinmaya Sachan, Zhijing Jin |
| 2026 | EACL | NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment. | Antonia Karamolegkou, Angana Borah, Eunjung Cho, Sagnik Ray Choudhury, Martina Galletti, Pranav Gupta, Oana Ignat, Priyanka Kargupta, Neema Kotonya, Hemank Lamba, Sun-Joo Lee, Arushi Mangla, Ishani Mondal, Fatima Zahra Moudakir, Deniz Nazar, Poli Nemkova, Dina Pisarevskaya, Naquee Rizwan, Nazanin Sabri, Keenan Samway, Dominik Stammbach, Anna Steinberg, David Toms, Steven R. Wilson, Bowen Yi, Jessica H. Zhu, Arkaitz Zubiaga, Anders Sgaard, Alexander Fraser, Zhijing Jin, Rada Mihalcea, Joel R. Tetreault, Daryna Dementieva |
| 2026 | EACL | How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities. | Aly M. Kassem, Bernhard Schlkopf, Zhijing Jin |
| 2026 | EACL | Taming Object Hallucinations with Verified Atomic Confidence Estimation. | Jiarui Liu, Weihao Xuan, Zhijing Jin, Mona T. Diab |
| 2026 | EACL | CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures. | Punya Syon Pandey, Yongjin Yang, Jiarui Liu, Zhijing Jin |
| 2026 | EACL | Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models. | David Guzman Piedrahita, Irene Strauss, Rada Mihalcea, Zhijing Jin |
| 2026 | EACL | When Do Language Models Endorse Limitations on Human Rights Principles? | Keenan Samway, Miu Nicole Takagi, Rada Mihalcea, Bernhard Schlkopf, Ilias Chalkidis, Daniel Hershcovich, Zhijing Jin |
| 2025 | AAAI | Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone. | Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah, Luis Chiruzzo, Zhijing Jin, Claude Kwizera, Joan Nwatu, Soujanya Poria, Thamar Solorio |
| 2025 | ACL | Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST). | Jiarui Liu, Iman Ouzzani, Wenkai Li, Lechen Zhang, Tianyue Ou, Houda Bouamor, Zhijing Jin, Mona T. Diab |
| 2025 | ACL | DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal. | Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, Zhijing Jin, Bernhard Schlkopf |
| 2025 | ACL | Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers. | Luciana Benotti, Fanny Ducel, Karn Fort, Guido Ivetta, Zhijing Jin, Min-Yen Kan, Seunghun J. Lee, Minzhi Li, Margot Mieskes, Adriana S. Pagano |
| 2025 | ACL | The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction. | Yihuai Hong, Meng Cao, Dian Zhou, Lei Yu, Zhijing Jin |
| 2025 | ACL | Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing. | Neemesh Yadav, Jiarui Liu, Francesco Ortu, Roya Ensafi, Zhijing Jin, Rada Mihalcea |
| 2025 | EMNLP | Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models. | Younwoo Choi, Changling Li, Yongjin Yang, Zhijing Jin |
| 2025 | EMNLP | Are Language Models Consequentialist or Deontological Moral Reasoners? | Keenan Samway, Max Kleiman-Weiner, David Guzman Piedrahita, Rada Mihalcea, Bernhard Schlkopf, Zhijing Jin |
| 2025 | EMNLP | Improving Large Language Model Safety with Contrastive Representation Learning. | Samuel Simko, Mrinmaya Sachan, Bernhard Schlkopf, Zhijing Jin |
| 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 | ICLR | Language Model Alignment in Multilingual Trolley Problems. | Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, Andrs Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schlkopf |
| 2025 | IJCNLP | Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries. | Roberto Ceraolo, Dmitrii Kharlapenko, Ahmad Khan, Amlie Reymond, Rada Mihalcea, Bernhard Schlkopf, Mrinmaya Sachan, Zhijing Jin |
| 2025 | IJCNLP | Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection. | Abhinav Lalwani, Tasha Kim, Lovish Chopra, Christopher Hahn, Zhijing Jin, Mrinmaya Sachan |
| 2025 | NAACL | Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias. | Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern, Rada Mihalcea, Zhijing Jin |
| 2024 | ACL | CausalCite: A Causal Formulation of Paper Citations. | Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schlkopf |
| 2024 | ACL | Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. | Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schlkopf |
| 2024 | ACL | Mosai: Efficient Text-to-Music Diffusion Models. | Flavio Schneider, Ojasv Kamal, Zhijing Jin, Bernhard Schlkopf |
| 2024 | COLING | Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. | Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Vernica Prez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea |
| 2024 | EMNLP | Implicit Personalization in Language Models: A Systematic Study. | Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schlkopf, Rada Mihalcea, Mrinmaya Sachan |
| 2024 | EMNLP | The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning. | Shaobo Cui, Zhijing Jin, Bernhard Schlkopf, Boi Faltings |
| 2024 | EMNLP | Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis. | Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez Adauto, Rada Mihalcea, Bernhard Schlkopf, Mrinmaya Sachan |
| 2024 | ICLR | Can Large Language Models Infer Causation from Correlation? | Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schlkopf |
| 2024 | NAACL | Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. | Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab |
| 2024 | NAACL | Analyzing the Role of Semantic Representations in the Era of Large Language Models. | Zhijing Jin, Yuen Chen, Fernando Gonzalez Adauto, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schlkopf, Mona T. Diab |
| 2023 | ACL | Membership Inference Attacks against Language Models via Neighbourhood Comparison. | Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schlkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick |
| 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 | ACL | A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. | Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schlkopf, Mrinmaya Sachan |
| 2023 | ACL | ALERT: Adapt Language Models to Reasoning Tasks. | Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz |
| 2023 | EMNLP | Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. | Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schlkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea |
| 2022 | ACL | Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. | Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan |
| 2022 | CogSci | Competing perspectives on building ethical AI: psychological, philosophical, and computational approaches. | Sydney Levine, Zhijing Jin |
| 2022 | EMNLP | CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing. | Zhijing Jin, Amir Feder, Kun Zhang |
| 2022 | EMNLP | Logical Fallacy Detection. | Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schlkopf |
| 2022 | EMNLP | Differentially Private Language Models for Secure Data Sharing. | Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schlkopf, Mrinmaya Sachan |
| 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 | ACL | How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. | Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea |
| 2021 | AISTATS | Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. | Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf |
| 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 |
| 2021 | EMNLP | Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States. | Zhijing Jin, Zeyu Peng, Tejas Vaidhya, Bernhard Schlkopf, Rada Mihalcea |
| 2020 | AAAI | Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. | Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits |
| 2020 | ACL | Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. | Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits |
| 2020 | COLING | GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation. | Zhijing Jin, Qipeng Guo, Xipeng Qiu, Zheng Zhang |
| 2020 | EMNLP | Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. | Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang |
| 2019 | EMNLP | IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. | Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus |
| 2019 | NAACL | GraphIE: A Graph-Based Framework for Information Extraction. | Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay |