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)

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)

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)

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)

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)

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)