3D Traffic Simulation for Autonomous Vehicles in Unity and Python. - Zhijing Jin 001; Tristan Swedish; Ramesh Raskar (CoRR, 2018)

IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. - Zhijing Jin 001; Di Jin; Jonas Mueller 001; Nicholas Matthews; Enrico Santus (EMNLP/IJCNLP (1), 2019)

GraphIE: A Graph-Based Framework for Information Extraction. - Yujie Qian; Enrico Santus; Zhijing Jin 001; Jiang Guo; Regina Barzilay (NAACL-HLT (1), 2019)

Unsupervised Text Style Transfer via Iterative Matching and Translation. - Zhijing Jin 001; Di Jin; Jonas Mueller 001; Nicholas Matthews; Enrico Santus (CoRR, 2019)

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment. - Di Jin; Zhijing Jin 001; Joey Tianyi Zhou; Peter Szolovits (CoRR, 2019)

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. - Di Jin; Zhijing Jin 001; Joey Tianyi Zhou; Peter Szolovits (AAAI, 2020)

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. - Di Jin; Zhijing Jin 001; Joey Tianyi Zhou; Lisa Orii; Peter Szolovits (ACL, 2020)

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation. - Zhijing Jin 001; Qipeng Guo; Xipeng Qiu; Zheng Zhang 001 (COLING, 2020)

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. - Xiaoyu Xing; Zhijing Jin 001; Di Jin; Bingning Wang; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (1), 2020)

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation. - Di Jin; Zhijing Jin 001; Joey Tianyi Zhou; Peter Szolovits (CoRR, 2020)

Relation of the Relations: A New Paradigm of the Relation Extraction Problem. - Zhijing Jin 001; Yongyi Yang; Xipeng Qiu; Zheng Zhang 001 (CoRR, 2020)

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training. - Qipeng Guo; Zhijing Jin 001; Xipeng Qiu; Weinan Zhang 001; David Wipf; Zheng Zhang 001 (CoRR, 2020)

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. - Zhijing Jin 001; Geeticka Chauhan; Brian Tse; Mrinmaya Sachan; Rada Mihalcea (ACL/IJCNLP (Findings), 2021)

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. - Qipeng Guo; Zhijing Jin 001; Ziyu Wang 006; Xipeng Qiu; Weinan Zhang 001; Jun Zhu 001; Zheng Zhang 001; David Wipf (AISTATS, 2021)

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. - Zhijing Jin 001; Julius von Kügelgen; Jingwei Ni; Tejas Vaidhya; Ayush Kaushal; Mrinmaya Sachan; Bernhard Schölkopf (EMNLP (1), 2021)

Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States. - Zhijing Jin 001; Zeyu Peng; Tejas Vaidhya; Bernhard Schölkopf; Rada Mihalcea (EMNLP (Findings), 2021)

Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning. - Hongru Wang 003; Zhijing Jin 001; Jiarun Cao; Gabriel Pui Cheong Fung; Kam-Fai Wong (CoRR, 2021)

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. - Daphna Keidar; Andreas Opedal; Zhijing Jin 001; Mrinmaya Sachan (ACL (1), 2022)

Competing perspectives on building ethical AI: psychological, philosophical, and computational approaches. - Sydney Levine; Zhijing Jin 001 (CogSci, 2022)

Logical Fallacy Detection. - Zhijing Jin 001; Abhinav Lalwani; Tejas Vaidhya; Xiaoyu Shen; Yiwen Ding; Zhiheng Lyu; Mrinmaya Sachan; Rada Mihalcea; Bernhard Schölkopf (EMNLP (Findings), 2022)

Differentially Private Language Models for Secure Data Sharing. - Justus Mattern; Zhijing Jin 001; Benjamin Weggenmann; Bernhard Schölkopf; Mrinmaya Sachan (EMNLP, 2022)

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. - Jingwei Ni; Zhijing Jin 001; Markus Freitag; Mrinmaya Sachan; Bernhard Schölkopf (NAACL-HLT, 2022)

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. - Zhijing Jin 001; Sydney Levine; Fernando Gonzalez Adauto; Ojasv Kamal; Maarten Sap; Mrinmaya Sachan; Rada Mihalcea; Josh Tenenbaum 001; Bernhard Schölkopf (NeurIPS, 2022)

Deep Learning for Text Style Transfer: A Survey. - Di Jin; Zhijing Jin 001; Zhiting Hu; Olga Vechtomova; Rada Mihalcea (Comput. Linguistics, 2022)

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. - Zhijing Jin 001; Sydney Levine; Fernando Gonzalez; Ojasv Kamal; Maarten Sap; Mrinmaya Sachan; Rada Mihalcea; Josh Tenenbaum 001; Bernhard Schölkopf (CoRR, 2022)

State-of-the-art generalisation research in NLP: a taxonomy and review. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos Christodoulopoulos 001; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (CoRR, 2022)

Editing a Woman's Voice. - Anna Costello; Ekaterina Fedorova; Zhijing Jin 001; Rada Mihalcea (CoRR, 2022)

Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing. - Justus Mattern; Zhijing Jin 001; Mrinmaya Sachan; Rada Mihalcea; Bernhard Schölkopf (CoRR, 2022)

Membership Inference Attacks against Language Models via Neighbourhood Comparison. - Justus Mattern; Fatemehsadat Mireshghallah; Zhijing Jin 001; Bernhard Schölkopf; Mrinmaya Sachan; Taylor Berg-Kirkpatrick (ACL (Findings), 2023)

When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. - Jingwei Ni; Zhijing Jin 001; Qian Wang; Mrinmaya Sachan; Markus Leippold (ACL (1), 2023)

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. - Alessandro Stolfo; Zhijing Jin 001; Kumar Shridhar; Bernhard Schölkopf; Mrinmaya Sachan (ACL (1), 2023)

ALERT: Adapt Language Models to Reasoning Tasks. - Ping Yu; Tianlu Wang; Olga Golovneva; Badr AlKhamissi; Siddharth Verma; Zhijing Jin 001; Gargi Ghosh; Mona T. Diab; Asli Celikyilmaz (ACL (1), 2023)

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. - Fernando Gonzalez Adauto; Zhijing Jin 001; Bernhard Schölkopf; Tom Hope; Mrinmaya Sachan; Rada Mihalcea (EMNLP (Findings), 2023)

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. - Zhijing Jin 001; Yuen Chen; Felix Leeb; Luigi Gresele; Ojasv Kamal; Zhiheng Lyu; Kevin Blin; Fernando Gonzalez Adauto; Max Kleiman-Weiner; Mrinmaya Sachan; Bernhard Schölkopf (NeurIPS, 2023)

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion. - Flavio Schneider; Zhijing Jin 001; Bernhard Schölkopf (CoRR, 2023)

Natural Language Processing for Policymaking. - Zhijing Jin 001; Rada Mihalcea (CoRR, 2023)

Psychologically-Inspired Causal Prompts. - Zhiheng Lyu; Zhijing Jin 001; Justus Mattern; Rada Mihalcea; Mrinmaya Sachan; Bernhard Schölkopf (CoRR, 2023)

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. - Fernando Gonzalez; Zhijing Jin 001; Bernhard Schölkopf; Tom Hope; Mrinmaya Sachan; Rada Mihalcea (CoRR, 2023)

OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models. - Badr AlKhamissi; Siddharth Verma; Ping Yu; Zhijing Jin 001; Asli Celikyilmaz; Mona T. Diab (CoRR, 2023)

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (CoRR, 2023)

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. - Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Ryan Cotterell (CoRR, 2023)

Voices of Her: Analyzing Gender Differences in the AI Publication World. - Yiwen Ding; Jiarui Liu 004; Zhiheng Lyu; Kun Zhang 001; Bernhard Schölkopf; Zhijing Jin 001; Rada Mihalcea (CoRR, 2023)

Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures. - David F. Jenny; Yann Billeter; Mrinmaya Sachan; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2023)

A taxonomy and review of generalization research in NLP. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos E. Christodoulopoulos; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (Nat. Mac. Intell., 2023)

CausalCite: A Causal Formulation of Paper Citations. - Ishan Kumar; Zhijing Jin 001; Ehsan Mokhtarian; Siyuan Guo; Yuen Chen; Negar Kiyavash; Mrinmaya Sachan; Bernhard Schölkopf (ACL (Findings), 2024)

Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. - Francesco Ortu; Zhijing Jin 001; Diego Doimo; Mrinmaya Sachan; Alberto Cazzaniga; Bernhard Schölkopf (ACL (1), 2024)

Moûsai: Efficient Text-to-Music Diffusion Models. - Flavio Schneider; Ojasv Kamal; Zhijing Jin 001; Bernhard Schölkopf (ACL (1), 2024)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (LREC/COLING, 2024)

Implicit Personalization in Language Models: A Systematic Study. - Zhijing Jin 001; Nils Heil; Jiarui Liu 004; Shehzaad Dhuliawala; Yahang Qi; Bernhard Schölkopf; Rada Mihalcea; Mrinmaya Sachan (EMNLP (Findings), 2024)

The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning. - Shaobo Cui 006; Zhijing Jin 001; Bernhard Schölkopf; Boi Faltings (EMNLP, 2024)

Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis. - Zhiheng Lyu; Zhijing Jin 001; Fernando Gonzalez Adauto; Rada Mihalcea; Bernhard Schölkopf; Mrinmaya Sachan (EMNLP (Findings), 2024)

Can Large Language Models Infer Causation from Correlation? - Zhijing Jin 001; Jiarui Liu 004; Zhiheng Lyu; Spencer Poff; Mrinmaya Sachan; Rada Mihalcea; Mona T. Diab; Bernhard Schölkopf (ICLR, 2024)

Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. - Jiarui Liu 004; Wenkai Li; Zhijing Jin 001; Mona T. Diab (NAACL-HLT, 2024)

Analyzing the Role of Semantic Representations in the Era of Large Language Models. - Zhijing Jin 001; Yuen Chen; Fernando Gonzalez Adauto; Jiarui Liu 004; Jiayi Zhang; Julian Michael; Bernhard Schölkopf; Mona T. Diab (NAACL-HLT, 2024)

On Affine Homotopy between Language Encoders. - Robin Chan; Reda Boumasmoud; Anej Svete; Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Mennatallah El-Assady; Ryan Cotterell (NeurIPS, 2024)

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents. - Giorgio Piatti; Zhijing Jin 001; Max Kleiman-Weiner; Bernhard Schölkopf; Mrinmaya Sachan; Rada Mihalcea (NeurIPS, 2024)

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. - Charvi Rastogi; Xiangchen Song; Zhijing Jin 001; Ivan Stelmakh; Hal Daumé III; Kun Zhang 001; Nihar B. Shah (CoRR, 2024)

On the Causal Nature of Sentiment Analysis. - Zhiheng Lyu; Zhijing Jin 001; Fernando Gonzalez; Rada Mihalcea; Bernhard Schölkopf; Mrinmaya Sachan (CoRR, 2024)

Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. - Giorgio Piatti; Zhijing Jin 001; Max Kleiman-Weiner; Bernhard Schölkopf; Mrinmaya Sachan; Rada Mihalcea (CoRR, 2024)

Analyzing the Role of Semantic Representations in the Era of Large Language Models. - Zhijing Jin 001; Yuen Chen; Fernando Gonzalez; Jiarui Liu 004; Jiayi Zhang; Julian Michael; Bernhard Schölkopf; Mona T. Diab (CoRR, 2024)

NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection. - Abhinav Lalwani; Lovish Chopra; Christopher Hahn; Caroline Trippel; Zhijing Jin 001; Mrinmaya Sachan (CoRR, 2024)

CausalQuest: Collecting Natural Causal Questions for AI Agents. - Roberto Ceraolo; Dmitrii Kharlapenko; Amélie Reymond; Rada Mihalcea; Mrinmaya Sachan; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2024)

Multilingual Trolley Problems for Language Models. - Zhijing Jin 001; Sydney Levine; Max Kleiman-Weiner; Giorgio Piatti; Jiarui Liu 004; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mihalcea; Yejin Choi 001; Bernhard Schölkopf (CoRR, 2024)

Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone. - Rada Mihalcea; Oana Ignat; Longju Bai; Angana Borah; Luis Chiruzzo; Zhijing Jin 001; Claude Kwizera; Joan Nwatu; Soujanya Poria; Thamar Solorio (CoRR, 2024)

Causal Responsibility Attribution for Human-AI Collaboration. - Yahang Qi; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2024)

Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset. - Jiarui Liu 004; Iman Ouzzani; Wenkai Li; Lechen Zhang; Tianyue Ou; Houda Bouamor; Zhijing Jin 001; Mona T. Diab (CoRR, 2024)

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 001; Claude Kwizera; Joan Nwatu; Soujanya Poria; Thamar Solorio (AAAI, 2025)

Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST). - Jiarui Liu 004; Iman Ouzzani; Wenkai Li; Lechen Zhang; Tianyue Ou; Houda Bouamor; Zhijing Jin 001; Mona T. Diab (ACL (Findings), 2025)

DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal. - Vaibhav Aggarwal; Ojasv Kamal; Abhinav Japesh; Zhijing Jin 001; Bernhard Schölkopf (ACL (1), 2025)

The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction. - Yihuai Hong; Meng Cao; Dian Zhou; Lei Yu; Zhijing Jin 001 (ACL (Findings), 2025)

Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing. - Neemesh Yadav; Jiarui Liu 004; Francesco Ortu; Roya Ensafi; Zhijing Jin 001; Rada Mihalcea (ACL (Findings), 2025)

Language Model Alignment in Multilingual Trolley Problems. - Zhijing Jin 001; Max Kleiman-Weiner; Giorgio Piatti; Sydney Levine; Jiarui Liu 004; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mihalcea; Yejin Choi 001; Bernhard Schölkopf (ICLR, 2025)

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias. - Yuen Chen; Vethavikashini Chithrra Raghuram; Justus Mattern; Rada Mihalcea; Zhijing Jin 001 (NAACL (Findings), 2025)

Causality can systematically address the monsters under the bench(marks). - Felix Leeb; Zhijing Jin 001; Bernhard Schölkopf (CoRR, 2025)

Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models. - Ruta Binkyte; Ivaxi Sheth; Zhijing Jin 001; Mohammad Havaei; Bernhard Schölkopf; Mario Fritz (CoRR, 2025)

How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities. - Aly M. Kassem; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

Causality for Natural Language Processing. - Zhijing Jin 001 (CoRR, 2025)

Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability. - Punya Syon Pandey; Samuel Simko; Kellin Pelrine; Zhijing Jin 001 (CoRR, 2025)

When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas. - Steffen Backmann; David Guzman Piedrahita; Emanuel Tewolde; Rada Mihalcea; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

Are Language Models Consequentialist or Deontological Moral Reasoners? - Keenan Samway; Max Kleiman-Weiner; David Guzman Piedrahita; Rada Mihalcea; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment. - Antonia Karamolegkou; Angana Borah; Eunjung Cho; Sagnik Ray Choudhury; Martina Galletti; Rajarshi Ghosh; Pranav Gupta; Oana Ignat; Priyanka Kargupta; Neema Kotonya; Hemank Lamba; Sun-Joo Lee; et al. (CoRR, 2025)

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness. - Yongjin Yang; Euiin Yi; Jongwoo Ko; Kimin Lee; Zhijing Jin 001; Se-Young Yun (CoRR, 2025)

Can Theoretical Physics Research Benefit from Language Agents? - Sirui Lu; Zhijing Jin 001; Terry Jingchen Zhang; Pavel Kos; J. Ignacio Cirac; Bernhard Schölkopf (CoRR, 2025)

Improving Large Language Model Safety with Contrastive Representation Learning. - Samuel Simko; Mrinmaya Sachan; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models. - David Guzman Piedrahita; Irene Strauss; Bernhard Schölkopf; Rada Mihalcea; Zhijing Jin 001 (CoRR, 2025)

Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models. - Younwoo Choi; Changling Li; Yongjin Yang; Zhijing Jin 001 (CoRR, 2025)

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games. - David Guzman Piedrahita; Yongjin Yang; Mrinmaya Sachan; Giorgia Ramponi; Bernhard Schölkopf; Zhijing Jin 001 (CoRR, 2025)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. - Chenfei Xiong; Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Zhijing Jin 001; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Mennatallah El-Assady; et al. (CoRR, 2025)

When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models. - Francesco Ortu; Zhijing Jin 001; Diego Doimo; Alberto Cazzaniga (CoRR, 2025)

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap. - Xuan Qi; Rongwu Xu; Zhijing Jin 001 (CoRR, 2025)

CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures. - Punya Syon Pandey; Yongjin Yang; Jiarui Liu 004; Zhijing Jin 001 (CoRR, 2025)