Jin, Zhijing

Logical Fallacy Detection

Jin, Z., Lalwani, A., Vaidhya, T., Shen, X., Ding, Y., Lyu, Z., Sachan, M., Mihalcea, R., & Schölkopf, B. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Linguistics and Discourse AnalysisTopic Modeling

Cited by 52

CLadder: Assessing Causal Reasoning in Language Models

Jin, Z., Chen, Y., Leeb, F., Gresele, L., Kamal, O., Lyu, Z., Blin, K., Adauto, F. G., Kleiman-Weiner, M., Sachan, M., et al. (2023) · Advances in Neural Information Processing Systems 36

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 19

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

Stolfo, A., Jin, Z., Shridhar, K., Schoelkopf, B., & Sachan, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesLogic, Reasoning, and Knowledge

Cited by 17

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

Piatti, G., Jin, Z., Kleiman-Weiner, M., Schölkopf, B., Sachan, M., & Mihalcea, R. (2024) · Advances in Neural Information Processing Systems 37

Evolutionary Game Theory and CooperationMulti-Agent Systems and Negotiation

Cited by 14

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

Piatti, G., Jin, Z., Kleiman-Weiner, M., Schölkopf, B., Sachan, M., & Mihalcea, R. (2024) · arXiv

Evolutionary Game Theory and CooperationMulti-Agent Systems and Negotiation

Cited by 14

CLadder: Assessing Causal Reasoning in Language Models

Jin, Z., Chen, Y., Leeb, F., Gresele, L., Kamal, O., Lyu, Z., Blin, K., Adauto, F. G., Kleiman-Weiner, M., Sachan, M., et al. (2023) · arXiv

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 8

Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone

Mihalcea, R., Ignat, O., Bai, L., Borah, A., Chiruzzo, L., Jin, Z., Kwizera, C., Nwatu, J., Poria, S., & Solorio, T. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 4

Membership Inference Attacks against Language Models via Neighbourhood Comparison

Mattern, J., Mireshghallah, F., Jin, Z., Schölkopf, B., Sachan, M., & Berg-Kirkpatrick, T. (2023) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 4

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Yang, Y., Yi, E., Ko, J., Lee, K., Jin, Z., & Yun, S.-Y. (2025) · arXiv

Multi-Agent Systems and NegotiationAdversarial Robustness in Machine Learning

Cited by 0

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games

Piedrahita, D. G., Yang, Y., Sachan, M., Ramponi, G., Schölkopf, B., & Jin, Z. (2025) · arXiv

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 0

When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas

Backmann, S., Piedrahita, D. G., Zhang, T. J., Tewolde, E., Mihalcea, R., Schölkopf, B., & Jin, Z. (2025) · arXiv

Ethics and Social Impacts of AIEvolutionary Game Theory and Cooperation

Cited by 0