LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matricesby Jung Hyun…
Knowledge boosting during low-latency inferenceby Vidya Srinivas, Malek Itani, Tuochao Chen, Sefik Emre Eskimez, Takuya…
Gradient Boosting Reinforcement Learningby Benjamin Fuhrer, Chen Tessler, Gal DalalFirst submitted to arxiv on: 11…
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillationby Efstathia Soufleri, Deepak Ravikumar, Kaushik RoyFirst…
How to Boost Any Loss Functionby Richard Nock, Yishay MansourFirst submitted to arxiv on: 2…
LiteSearch: Efficacious Tree Search for LLMby Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian…
Boosting Soft Q-Learning by Boundingby Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. KulkarniFirst submitted…
Contrastive General Graph Matching with Adaptive Augmentation Samplingby Jianyuan Bo, Yuan FangFirst submitted to arxiv…
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Modelsby Jiale Cheng,…
Fault Detection for agents on power grid topology optimization: A Comprehensive analysisby Malte Lehna, Mohamed…