Publications

Zhijing Jin*, Max Kleiman-Weiner*, Giorgio Piatti*, Sydney Levine, Jiarui Liu, Fernando Gonzalez, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf (2024). Language Model Alignment in Multilingual Trolley Problems. NeurIPS PLuralistic Alignment Workshop 2024 Oral.

Arxiv

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

Arxiv

Tianyue Ou, Frank F Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou (2024). Synatra: Turning indirect knowledge into direct demonstrations for digital agents at scale. NeurIPS 2024.

Arxiv

Aashiq Muhamed, Jiarui Liu, Mona Diab, Virginia Smith (2024). Inducing Elasticity in Foundation Models: Post-Training Techniques for Adaptable Inference. NeurIPS ENLSP Workshop 2024.

Jiarui Liu, Wenkai Li, Zhijing Jin, Mona Diab (2024). Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. NAACL 2024 Oral.

Arxiv

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

Arxiv

Zhijing Jin*, Jiarui Liu*, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, Bernhard Schölkopf (2023). Can Large Language Models Infer Causation from Correlation?. ICLR 2024.

Arxiv

Gaotang Li*, Jiarui Liu*, Wei Hu (2023). Bias Amplification Enhances Minority Group Performance. TMLR 2024.

Arxiv

Yiwen Ding*, Jiarui Liu*, Zhiheng Lyu, Kun Zhang, Bernhard Schoelkopf, Zhijing Jin, Rada Mihalcea (2023). Voices of Her: Analyzing Gender Differences in the AI Publication World. Preprint 2023.

Arxiv