Who cites Stefano Soatto
- Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
- Transformers learn in-context by gradient descentarXiv:2212.07677Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 247 citations
- CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Qinyuan Ye, Bill Yuchen Lin, Xiang Ren2021 · 210 citations
- Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
- Exploring and Predicting Transferability across NLP TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Tu Vu, Tong Wang, Tsendsuren Munkhdalai, et al.2020 · 198 citations
- HunyuanVideo: A Systematic Framework For Large Video Generative ModelsarXiv:2412.03603Weijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 169 citations
- What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
- A Survey of On-Policy Distillation for Large Language ModelsarXiv:2604.00626Mingyang Song, Mao Zheng2026 · 41 citations
- Self-Distilled RLVRarXiv:2604.03128Chenxu Yang, Chuanyu Qin, Qingyi Si, et al.2026 · 37 citations
- Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy DistillationarXiv:2604.13010Yecheng Wu, Song Han, Han Cai2026 · 10 citations
- HDPO: Hybrid Distillation Policy Optimization via Privileged Self-DistillationarXiv:2603.23871Ken Ding2026 · 8 citations
- Self-Distilled Policy GradientarXiv:2606.04036Yifeng Liu, Shiyuan Zhang, Yifan Zhang, et al.2026 · 5 citations
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