| Can large language models infer causation from correlation? Z Jin, J Liu, Z Lyu, S Poff, M Sachan, R Mihalcea, M Diab, B Schölkopf ICLR 2024, 2023 | 101 | 2023 |
| Synatra: Turning indirect knowledge into direct demonstrations for digital agents at scale T Ou, FF Xu, A Madaan, J Liu, R Lo, A Sridhar, S Sengupta, D Roth, ... arXiv preprint arXiv:2409.15637, 2024 | 8 | 2024 |
| Analyzing the Role of Semantic Representations in the Era of Large Language Models Z Jin, Y Chen, F Gonzalez, J Liu, J Zhang, J Michael, B Schölkopf, M Diab arXiv preprint arXiv:2405.01502, 2024 | 4 | 2024 |
| 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 | 3 | 2023 |
| Implicit Personalization in Language Models: A Systematic Study Z Jin, N Heil, J Liu, S Dhuliawala, Y Qi, B Schölkopf, R Mihalcea, ... arXiv preprint arXiv:2405.14808, 2024 | 2 | 2024 |
| Automatic Generation of Model and Data Cards: A Step Towards Responsible AI J Liu, W Li, Z Jin, M Diab arXiv preprint arXiv:2405.06258, 2024 | 2 | 2024 |
| Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba R He, Y He, L Bai, J Liu, Z Sun, Z Tang, H Wang, H Xia, N Deng arXiv preprint arXiv:2406.12754, 2024 | 1 | 2024 |
| Bias Amplification Enhances Minority Group Performance G Li, J Liu, W Hu arXiv preprint arXiv:2309.06717, 2023 | 1 | 2023 |
| Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset J Liu, I Ouzzani, W Li, L Zhang, T Ou, H Bouamor, Z Jin, M Diab arXiv preprint arXiv:2412.18367, 2024 | | 2024 |
| Chumor 2.0: Towards Benchmarking Chinese Humor Understanding R He, Y He, L Bai, J Liu, Z Sun, Z Tang, H Wang, H Xia, R Mihalcea, ... arXiv preprint arXiv:2412.17729, 2024 | | 2024 |
| BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data W Li, J Liu, A Liu, X Zhou, M Diab, M Sap arXiv preprint arXiv:2410.16491, 2024 | | 2024 |
| Language Model Alignment in Multilingual Trolley Problems Z Jin, M Kleiman-Weiner, G Piatti, S Levine, J Liu, F Gonzalez, F Ortu, ... arXiv preprint arXiv:2407.02273, 2024 | | 2024 |
| Multilingual Trolley Problems for Language Models Z Jin, M Kleiman-Weiner, G Piatti, S Levine, J Liu, FG Adauto, F Ortu, ... Pluralistic Alignment Workshop at NeurIPS 2024, 2024 | | 2024 |
| Inducing Elasticity in Foundation Models: Post-Training Techniques for Adaptable Inference A Muhamed, J Liu, MT Diab, V Smith | | |
Zhijing JinMax Planck Institute & ETH Zürich在 ethz.ch 的电子邮件经过验证