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; Rada Mihalcea (CoRR, 2023)

Can Large Language Models Infer Causation from Correlation? - Zhijing Jin; 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; Mona T. Diab (NAACL-HLT, 2024)

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

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

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

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

Bias Amplification Enhances Minority Group Performance. - Gaotang Li; Jiarui Liu 004; Wei Hu (Trans. Mach. Learn. Res., 2024)