Logical fallacy detection Z Jin, A Lalwani, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ... arXiv preprint arXiv:2202.13758, 2022 | 59 | 2022 |
Can large language models infer causation from correlation? Z Jin, J Liu, Z Lyu, S Poff, M Sachan, R Mihalcea, M Diab, B Schölkopf arXiv preprint arXiv:2306.05836, 2023 | 55 | 2023 |
Cladder: Assessing causal reasoning in language models Z Jin, Y Chen, F Leeb, L Gresele, O Kamal, LYU Zhiheng, K Blin, ... Thirty-seventh conference on neural information processing systems, 2023 | 41* | 2023 |
Psychologically-inspired causal prompts Z Lyu, Z Jin, J Mattern, R Mihalcea, M Sachan, B Schölkopf arXiv preprint arXiv:2305.01764, 2023 | 5 | 2023 |
Can large language models distinguish cause from effect? Z Lyu, Z Jin, R Mihalcea, M Sachan, B Schölkopf UAI 2022 Workshop on Causal Representation Learning, 16, 2022 | 5 | 2022 |
Voices of her: Analyzing gender differences in the AI publication world Y Ding, J Liu, Z Lyu, K Zhang, B Schoelkopf, Z Jin, R Mihalcea arXiv preprint arXiv:2305.14597, 2023 | 2 | 2023 |
Can Large Language Models Distinguish Cause from Effect? LYU Zhiheng, Z Jin, R Mihalcea, M Sachan, B Schölkopf UAI 2022 Workshop on Causal Representation Learning, 2022 | 2 | 2022 |
On the causal nature of sentiment analysis Z Lyu, Z Jin, F Gonzalez, R Mihalcea, B Schoelkopf, M Sachan arXiv preprint arXiv:2404.11055, 2024 | | 2024 |
ROBUST CAUSAL MODELING BY KERNEL-BASED CONDITIONAL INDEPENDENCE A Strausz, Z Lyu, B Schölkopf, Z Jin | | |