Zhijing Jin

62 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) 🗺️ Taxonomy Completionist (94) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🔬 Deep Specialist (17) 🧬 Topic Evolution 👥 Mega-Team (22) 🤝 Dynamic Duo (26) 🗃️ Keyword Collector (249) ❓ The Questioner (9) ⚡ Prolific Year (13) 💎 Century Club (53) 🔥 Unstoppable (7)

Conferences

ACL (17) EMNLP (16) EACL (7) NAACL (5) IJCNLP (4) NIPS (4) AAAI (2) AACL (2) COLING (2) ICLR (2) AISTATS (1)

Top co-authors

Bernhard Schölkopf (29) Mrinmaya Sachan (28) Rada Mihalcea (22) Jiarui Liu (10) Zhiheng LYU (5) Fernando Gonzalez Adauto (5) Di Jin (5) Mona Diab (4) Max Kleiman-Weiner (4) Ojasv Kamal (4)

Research topics

Applications (1) Privacy (1) Education (1)

Keywords

large language model (19) causal inference (13) text classification (6) language model (5) responsible ai (4) adversarial attack (3) moral reasoning (3) logical fallacy detection (3) natural language processing (3) prompt engineering (3) causal reasoning (3) unsupervised learning (3) causal discovery (3) transfer learning (2) first-order logic (2) citation analysis (2) representation learning (2) text generation (2) sentiment analysis (2) model robustness (2)

Papers

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

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

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

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

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

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

Language Model Alignment in Multilingual Trolley Problems ICLR 2025

Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection IJCNLP 2025

Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries IJCNLP 2025

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

Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection AACL 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

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

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

Can Large Language Models Infer Causation from Correlation? ICLR 2024

Analyzing the Role of Semantic Representations in the Era of Large Language Models NAACL 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

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

On Affine Homotopy between Language Encoders NIPS 2024

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents NIPS 2024

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models COLING 2024

Automatic Generation of Model and Data Cards: A Step Towards Responsible AI NAACL 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

When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP 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

Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 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

ALERT: Adapt Language Models to Reasoning Tasks ACL 2023

CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing 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

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment NIPS 2022

Logical Fallacy Detection EMNLP 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