Zhijing Jin

Taming Object Hallucinations with Verified Atomic Confidence Estimation EACL 2026 How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities EACL 2026 When Do Language Models Endorse Limitations on Human Rights Principles? EACL 2026 Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification EACL 2026 CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures EACL 2026 Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models EACL 2026 Test of Time: Rethinking Temporal Signal of Benchmark Contamination ACL 2026 When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models ACL 2026 PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf ACL 2026 NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment EACL 2026 Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection IJCNLP 2025 Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone AAAI 2025 Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias NAACL 2025 DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal ACL 2025 Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers ACL 2025 The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction ACL 2025 Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST) ACL 2025 Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing ACL 2025 Voices of Her: Analyzing Gender Differences in the AI Publication World ACL 2025 Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries AACL 2025 Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection AACL 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025 Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models EMNLP 2025 Are Language Models Consequentialist or Deontological Moral Reasoners? EMNLP 2025 Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification EMNLP 2025 Language Model Alignment in Multilingual Trolley Problems ICLR 2025 Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries IJCNLP 2025 Implicit Personalization in Language Models: A Systematic Study EMNLP 2024 Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis EMNLP 2024 Analyzing the Role of Semantic Representations in the Era of Large Language Models NAACL 2024 Can Large Language Models Infer Causation from Correlation? ICLR 2024 Automatic Generation of Model and Data Cards: A Step Towards Responsible AI NAACL 2024 Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models COLING 2024 Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents NIPS 2024 Moûsai: Efficient Text-to-Music Diffusion Models ACL 2024 Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals ACL 2024 CausalCite: A Causal Formulation of Paper Citations ACL 2024 On Affine Homotopy between Language Encoders NIPS 2024 The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning EMNLP 2024 Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis EMNLP 2024 Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023 ALERT: Adapt Language Models to Reasoning Tasks ACL 2023 A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models ACL 2023 CLadder: Assessing Causal Reasoning in Language Models NIPS 2023 OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models ACL 2023 Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good EMNLP 2023 When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP ACL 2023 Logical Fallacy Detection EMNLP 2022 Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ACL 2022 Differentially Private Language Models for Secure Data Sharing EMNLP 2022 CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing EMNLP 2022 When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment NIPS 2022 Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance NAACL 2022 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021 Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States EMNLP 2021 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact IJCNLP 2021 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ACL 2021 Hooks in the Headline: Learning to Generate Headlines with Controlled Styles ACL 2020 Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment AAAI 2020 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020 GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation COLING 2020 IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation EMNLP 2019 IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation IJCNLP 2019 GraphIE: A Graph-Based Framework for Information Extraction NAACL 2019