Summary of Sloth: Scaling Laws For Llm Skills to Predict Multi-benchmark Performance Across Families, by Felipe Maia Polo et al.
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across familiesby Felipe Maia Polo,…
Summary of Mosh: Modeling Multi-objective Tradeoffs with Soft and Hard Bounds, by Edward Chen et al.
MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Boundsby Edward Chen, Natalie Dullerud, Thomas Niedermayr,…
Summary of Alphaverus: Bootstrapping Formally Verified Code Generation Through Self-improving Translation and Treefinement, by Pranjal Aggarwal et al.
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinementby Pranjal Aggarwal, Bryan Parno,…
Summary of Exploring Multi-grained Concept Annotations For Multimodal Large Language Models, by Xiao Xu et al.
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Modelsby Xiao Xu, Tianhao Niu, Yuxi Xie,…
Summary of Text-to-3d Gaussian Splatting with Physics-grounded Motion Generation, by Wenqing Wang et al.
Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generationby Wenqing Wang, Yun FuFirst submitted to arxiv on:…
Summary of Multi-armed Bandit Approach For Optimizing Training on Synthetic Data, by Abdulrahman Kerim et al.
Multi-Armed Bandit Approach for Optimizing Training on Synthetic Databy Abdulrahman Kerim, Leandro Soriano Marcolino, Erickson…
Summary of Multi-objective Alignment Of Large Language Models Through Hypervolume Maximization, by Subhojyoti Mukherjee et al.
Multi-Objective Alignment of Large Language Models Through Hypervolume Maximizationby Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta,…
Summary of Gla-ai4biomed at Rrg24: Visual Instruction-tuned Adaptation For Radiology Report Generation, by Xi Zhang et al.
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generationby Xi Zhang, Zaiqiao Meng, Jake…
Summary of Alma: Alignment with Minimal Annotation, by Michihiro Yasunaga et al.
ALMA: Alignment with Minimal Annotationby Michihiro Yasunaga, Leonid Shamis, Chunting Zhou, Andrew Cohen, Jason Weston,…
Summary of Multi-bin Batching For Increasing Llm Inference Throughput, by Ozgur Guldogan et al.
Multi-Bin Batching for Increasing LLM Inference Throughputby Ozgur Guldogan, Jackson Kunde, Kangwook Lee, Ramtin PedarsaniFirst…