Summary of Sketch to Adapt: Fine-tunable Sketches For Efficient Llm Adaptation, by Tianyi Zhang et al.
Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptationby Tianyi Zhang, Junda Su, Aditya Desai,…
Summary of Evolve: Evaluating and Optimizing Llms For Exploration, by Allen Nie et al.
EVOLvE: Evaluating and Optimizing LLMs For Explorationby Allen Nie, Yi Su, Bo Chang, Jonathan N.…
Summary of Mixture Compressor For Mixture-of-experts Llms Gains More, by Wei Huang et al.
Mixture Compressor for Mixture-of-Experts LLMs Gains Moreby Wei Huang, Yue Liao, Jianhui Liu, Ruifei He,…
Summary of Bayesian Estimation and Tuning-free Rank Detection For Probability Mass Function Tensors, by Joseph K. Chege et al.
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensorsby Joseph K. Chege, Arie…
Summary of Qera: An Analytical Framework For Quantization Error Reconstruction, by Cheng Zhang et al.
QERA: an Analytical Framework for Quantization Error Reconstructionby Cheng Zhang, Jeffrey T. H. Wong, Can…
Summary of Posets and Bounded Probabilities For Discovering Order-inducing Features in Event Knowledge Graphs, by Christoffer Olling Back and Jakob Grue Simonsen
Posets and Bounded Probabilities for Discovering Order-inducing Features in Event Knowledge Graphsby Christoffer Olling Back,…
Summary of Deep Learning-based Fault Identification in Condition Monitoring, by Hariom Dhungana et al.
Deep learning-based fault identification in condition monitoringby Hariom Dhungana, Suresh Kumar Mukhiya, Pragya Dhungana, Benjamin…
Summary of Brain-inspired Continual Pre-trained Learner Via Silent Synaptic Consolidation, by Xuming Ran et al.
Brain-inspired continual pre-trained learner via silent synaptic consolidationby Xuming Ran, Juntao Yao, Yusong Wang, Mingkun…
Summary of Pathwise Gradient Variance Reduction with Control Variates in Variational Inference, by Kenyon Ng et al.
Pathwise Gradient Variance Reduction with Control Variates in Variational Inferenceby Kenyon Ng, Susan WeiFirst submitted…
Summary of Training-free Diffusion Model Alignment with Sampling Demons, by Po-hung Yeh et al.
Training-free Diffusion Model Alignment with Sampling Demonsby Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng ChenFirst submitted to…