Jiarui Liu

According to our database, Jiarui Liu authored at least 28 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Reinforcing Human Behavior Simulation via Verbal Feedback.

Weiwei Sun, Xuhui Zhou, Jiarui Liu, Weihua Du, Haojia Sun, Yiqing Xie, Qianou Ma, Sihao Chen, Mengting Wan, Longqi Yang, Pei Zhou, Sherry Wu, Sean Welleck, Graham Neubig, Yiming Yang, Maarten Sap

CoRR, May, 2026

MixSD: Mixed Contextual Self-Distillation for Knowledge Injection.

Jiarui Liu, Lechen Zhang, Yongjin Yang, Yinghui He, Yingheng Wang, Weihao Xuan, Zhijing Jin, Mona T. Diab

CoRR, May, 2026

CLT-Forge: A Scalable Library for Cross-Layer Transcoders and Attribution Graphs.

Florent Draye, Abir Harrasse, Vedant Palit, Tung-Yu Wu, Jiarui Liu, Punya Syon Pandey, Roderick Wu, Terry Jingchen Zhang, Zhijing Jin, Bernhard Schölkopf

CoRR, March, 2026

Mind the Sim2Real Gap in User Simulation for Agentic Tasks.

Xuhui Zhou, Weiwei Sun, Qianou Ma, Yiqing Xie, Jiarui Liu, Weihua Du, Sean Welleck, Yiming Yang, Graham Neubig, Sherry Tongshuang Wu, Maarten Sap

CoRR, March, 2026

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

Punya Syon Pandey, Yongjin Yang, Jiarui Liu, Zhijing Jin

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Taming Object Hallucinations with Verified Atomic Confidence Estimation.

Jiarui Liu, Weihao Xuan, Zhijing Jin, Mona T. Diab

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Are LLMs Good Safety Agents or a Propaganda Engine?

Neemesh Yadav, Francesco Ortu, Jiarui Liu, Joeun Yook, Bernhard Schölkopf, Rada Mihalcea, Alberto Cazzaniga, Zhijing Jin

CoRR, November, 2025

LLM Microscope: What Model Internals Reveal About Answer Correctness and Context Utilization.

Jiarui Liu, Jivitesh Jain, Mona T. Diab, Nishant Subramani

CoRR, October, 2025

Social World Models.

Xuhui Zhou, Jiarui Liu, Akhila Yerukola, Hyunwoo Kim, Maarten Sap

CoRR, September, 2025

Language Model Alignment in Multilingual Trolley Problems.

Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Humanizing Machines: Rethinking LLM Anthropomorphism Through a Multi-Level Framework of Design.

Yunze Xiao, Lynnette Hui Xian Ng, Jiarui Liu, Mona T. Diab

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics.

Jiarui Liu, Yueqi Song, Yunze Xiao, Mingqian Zheng, Lindia Tjuatja, Jana Schaich Borg, Mona T. Diab, Maarten Sap

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing.

Neemesh Yadav, Jiarui Liu, Francesco Ortu, Roya Ensafi, Zhijing Jin, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics, 2025

BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data.

Wenkai Li, Jiarui Liu, Andy Liu, Xuhui Zhou, Mona T. Diab, Maarten Sap

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Chumor 2.0: Towards Better Benchmarking Chinese Humor Understanding from (Ruo Zhi Ba).

Ruiqi He, Yushu He, Longju Bai, Jiarui Liu, Zhenjie Sun, Zenghao Tang, He Wang, Hanchen Xia, Rada Mihalcea, Naihao Deng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST).

Jiarui Liu, Iman Ouzzani, Wenkai Li, Lechen Zhang, Tianyue Ou, Houda Bouamor, Zhijing Jin, Mona T. Diab

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Bias Amplification Enhances Minority Group Performance.

Gaotang Li, Jiarui Liu, Wei Hu

Trans. Mach. Learn. Res., 2024

Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset.

Jiarui Liu, Iman Ouzzani, Wenkai Li, Lechen Zhang, Tianyue Ou, Houda Bouamor, Zhijing Jin, Mona T. Diab

CoRR, 2024

Chumor 2.0: Towards Benchmarking Chinese Humor Understanding.

Ruiqi He, Yushu He, Longju Bai, Jiarui Liu, Zhenjie Sun, Zenghao Tang, He Wang, Hanchen Xia, Rada Mihalcea, Naihao Deng

CoRR, 2024

Multilingual Trolley Problems for Language Models.

Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf

CoRR, 2024

Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba.

Ruiqi He, Yushu He, Longju Bai, Jiarui Liu, Zhenjie Sun, Zenghao Tang, He Wang, Hanchen Xia, Naihao Deng

CoRR, 2024

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

Zhijing Jin, Yuen Chen, Fernando Gonzalez, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab

CoRR, 2024

Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale.

Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Zhijing Jin, Yuen Chen, Fernando Gonzalez Adauto, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can Large Language Models Infer Causation from Correlation?

Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Implicit Personalization in Language Models: A Systematic Study.

Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Voices of Her: Analyzing Gender Differences in the AI Publication World.

Yiwen Ding, Jiarui Liu, Zhiheng Lyu, Kun Zhang, Bernhard Schölkopf, Zhijing Jin, Rada Mihalcea

CoRR, 2023