Zhijing Jin
Assistant Professor
Studies causal methods for NLP, multi-agent LLMs and AI safety.
Zhijing Jin's lab at Toronto works on large language models, reasoning & agents and trustworthy & safe ML. 45 papers since 2023, 25 at top venues, mostly ACL and EACL. 8 PhD students and 6 master's students. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 56%
- PhD students
- 8
- MS students
- 6
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 12 papers2026 · T1 5 · collecting
- 14 papers2025 · T1 8
- 12 papers2024 · T1 8
- 7 papers2023 · T1 4
T1 venuesOtherVenues: ACL, EACL, EMNLP, Findings of ACL, Findings of EMNLP
Research focuspaper titles that use each topic's words
- Large language models35 papers
- Reasoning & agents7 papers
- llms3 papers
- Trustworthy & safe ML0 papers
- studies causal0 papers
Paper list
From DBLP.
202612 papers
- EACLCORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures (opens in a new tab)
- EACLDemocratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models (opens in a new tab)
- EACLHow Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities (opens in a new tab)
- EACLNLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment (opens in a new tab)
- ACL (T1)PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf (opens in a new tab)
- ICLR (T1)SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests (opens in a new tab)
- EACLTaming Object Hallucinations with Verified Atomic Confidence Estimation (opens in a new tab)
- KDD (T1)TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering (opens in a new tab)
- ACL (T1)Test of Time: Rethinking Temporal Signal of Benchmark Contamination (opens in a new tab)
- EACLUncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification (opens in a new tab)
- Findings of EACLWhen Do Language Models Endorse Limitations on Human Rights Principles? (opens in a new tab)
- ACL (T1)When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models (opens in a new tab)
202514 papers
- EMNLP (T1)Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models (opens in a new tab)
- EMNLP (T1)Are Language Models Consequentialist or Deontological Moral Reasoners? (opens in a new tab)
- Findings of IJCNLP-AACLAutoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection (opens in a new tab)
- Findings of NAACLCausally Testing Gender Bias in LLMs: A Case Study on Occupational Bias (opens in a new tab)
- EMNLP (T1)Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification (opens in a new tab)
- ACL (T1)DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal (opens in a new tab)
- EMNLP (T1)Improving Large Language Model Safety with Contrastive Representation Learning (opens in a new tab)
- ICLR (T1)Language Model Alignment in Multilingual Trolley Problems (opens in a new tab)
- ACL (T1)Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers (opens in a new tab)
- Findings of IJCNLP-AACLQuriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries (opens in a new tab)
- Findings of ACLRevealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing (opens in a new tab)
- Findings of ACLThe Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction (opens in a new tab)
202412 papers
- NAACL (T1)Analyzing the Role of Semantic Representations in the Era of Large Language Models (opens in a new tab)
- NAACL (T1)Automatic Generation of Model and Data Cards: A Step Towards Responsible AI (opens in a new tab)
- ICLR (T1)Can Large Language Models Infer Causation from Correlation? (opens in a new tab)
- Findings of ACLCausalCite: A Causal Formulation of Paper Citations (opens in a new tab)
- ACL (T1)Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals (opens in a new tab)
- NeurIPS (T1)Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents (opens in a new tab)
- Findings of EMNLPDo LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis (opens in a new tab)
- LREC/COLINGHas It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models (opens in a new tab)
- Findings of EMNLPImplicit Personalization in Language Models: A Systematic Study (opens in a new tab)
- ACL (T1)Moûsai: Efficient Text-to-Music Diffusion Models (opens in a new tab)
- NeurIPS (T1)On Affine Homotopy between Language Encoders (opens in a new tab)
- EMNLP (T1)The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning (opens in a new tab)
20237 papers
- ACL (T1)A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models (opens in a new tab)
- Nat. Mac. Intell.A taxonomy and review of generalization research in NLP (opens in a new tab)
- ACL (T1)ALERT: Adapt Language Models to Reasoning Tasks (opens in a new tab)
- Findings of EMNLPBeyond Good Intentions: Reporting the Research Landscape of NLP for Social Good (opens in a new tab)
- NeurIPS (T1)CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models (opens in a new tab)
- Findings of ACLMembership Inference Attacks against Language Models via Neighbourhood Comparison (opens in a new tab)
- ACL (T1)When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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