Zhijing Jin

Venues

Frequent coauthors

Papers

1. CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures
   EACL 2026 ·

   Punya Syon Pandey

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2. Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
   EACL 2026 ·

   David Guzman Piedrahita

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3. How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities
   EACL 2026 ·

   Aly M. Kassem

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4. NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment
   EACL 2026 ·

   Antonia Karamolegkou

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5. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf
   ACL 2026 ·

   Jiarui Liu

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6. Taming Object Hallucinations with Verified Atomic Confidence Estimation
   EACL 2026 ·

   Jiarui Liu

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7. Test of Time: Rethinking Temporal Signal of Benchmark Contamination
   ACL 2026 ·

   Terry Jingchen Zhang

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8. Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
   EACL 2026 ·

   Paul He

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9. When Do Language Models Endorse Limitations on Human Rights Principles?
   EACL 2026 ·

   Keenan Samway

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10. When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models
    ACL 2026 ·

    Francesco Ortu

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11. Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models
    EMNLP 2025 ·

    Younwoo Choi

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12. Are Language Models Consequentialist or Deontological Moral Reasoners?
    EMNLP 2025 ·

    Keenan Samway

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13. Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
    NAACL 2025 ·

    Yuen Chen

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14. Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
    EMNLP 2025 ·

    Chenfei Xiong

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15. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal
    ACL 2025 ·

    Vaibhav Aggarwal

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16. Improving Large Language Model Safety with Contrastive Representation Learning
    EMNLP 2025 ·

    Samuel Simko

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17. Language Model Alignment in Multilingual Trolley Problems
    ICLR 2025 · Zhijing Jin
18. Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers
    ACL 2025 ·

    Luciana Benotti

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19. Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing
    ACL 2025 ·

    Neemesh Yadav

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20. The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
    ACL 2025 ·

    Yihuai Hong

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21. Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)
    ACL 2025 ·

    Jiarui Liu

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22. Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone
    AAAI 2025 ·

    Rada Mihalcea

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23. Analyzing the Role of Semantic Representations in the Era of Large Language Models
    NAACL 2024 · Zhijing Jin
24. Automatic Generation of Model and Data Cards: A Step Towards Responsible AI
    NAACL 2024 ·

    Jiarui Liu

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25. Can Large Language Models Infer Causation from Correlation?
    ICLR 2024 · Zhijing Jin
26. CausalCite: A Causal Formulation of Paper Citations
    ACL 2024 ·

    Ishan Kumar

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27. Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
    ACL 2024 ·

    Francesco Ortu

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28. Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
    NeurIPS 2024 ·

    Giorgio Piatti

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29. Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis
    EMNLP 2024 ·

    Zhiheng Lyu

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30. Implicit Personalization in Language Models: A Systematic Study
    EMNLP 2024 · Zhijing Jin
31. Moûsai: Efficient Text-to-Music Diffusion Models
    ACL 2024 ·

    Flavio Schneider

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32. On Affine Homotopy between Language Encoders
    NeurIPS 2024 ·

    Robin Chan

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33. The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning
    EMNLP 2024 ·

    Shaobo Cui

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