Summary of Simple and Provable Scaling Laws For the Test-time Compute Of Large Language Models, by Yanxi Chen et al.
Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Modelsby Yanxi Chen,…
Summary of Interleaved-modal Chain-of-thought, by Jun Gao et al.
Interleaved-Modal Chain-of-Thoughtby Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie LiFirst submitted to arxiv on: 29…
Summary of Diorama: Unleashing Zero-shot Single-view 3d Indoor Scene Modeling, by Qirui Wu et al.
Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modelingby Qirui Wu, Denys Iliash, Daniel Ritchie, Manolis…
Summary of Deep Learning For Gwp Prediction: a Framework Using Pca, Quantile Transformation, and Ensemble Modeling, by Navin Rajapriya et al.
Deep Learning for GWP Prediction: A Framework Using PCA, Quantile Transformation, and Ensemble Modelingby Navin…
Summary of Advancing Generalization in Pinns Through Latent-space Representations, by Honghui Wang et al.
Advancing Generalization in PINNs through Latent-Space Representationsby Honghui Wang, Yifan Pu, Shiji Song, Gao HuangFirst…
Summary of Personalized Federated Fine-tuning For Llms Via Data-driven Heterogeneous Model Architectures, by Yicheng Zhang et al.
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architecturesby Yicheng Zhang, Zhen Qin, Zhaomin…
Summary of Puzzle: Distillation-based Nas For Inference-optimized Llms, by Akhiad Bercovich et al.
Puzzle: Distillation-Based NAS for Inference-Optimized LLMsby Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave…
Summary of Desire: Dynamic Knowledge Consolidation For Rehearsal-free Continual Learning, by Haiyang Guo et al.
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learningby Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing…
Summary of Convex Regularization and Convergence Of Policy Gradient Flows Under Safety Constraints, by Pekka Malo and Lauri Viitasaari and Antti Suominen and Eeva Vilkkumaa and Olli Tahvonen
Convex Regularization and Convergence of Policy Gradient Flows under Safety Constraintsby Pekka Malo, Lauri Viitasaari,…
Summary of Large Width Penalization For Neural Network-based Prediction Interval Estimation, by Worachit Amnuaypongsa et al.
Large width penalization for neural network-based prediction interval estimationby Worachit Amnuaypongsa, Jitkomut SongsiriFirst submitted to…