Summary of Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens, by Lijie Fan et al.
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokensby Lijie Fan, Tianhong Li, Siyang Qin,…
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokensby Lijie Fan, Tianhong Li, Siyang Qin,…
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization…
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Modelsby Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue,…
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Modelsby…
Long Range Named Entity Recognition for Marathi Documentsby Pranita Deshmukh, Nikita Kulkarni, Sanhita Kulkarni, Kareena…
Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approachby Duraimurugan RajamanickamFirst…
Privately Learning from Graphs with Applications in Fine-tuning Large Language Modelsby Haoteng Yin, Rongzhe Wei,…
Leveraging free energy in pretraining model selection for improved fine-tuningby Michael Munn, Susan WeiFirst submitted…
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articlesby Md. Tarek…
Variational Language Concepts for Interpreting Foundation Language Modelsby Hengyi Wang, Shiwei Tan, Zhiqing Hong, Desheng…