Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptationby Nguyen Thang Loi, Duong Tan…
Predictive variational inference: Learn the predictively optimal posterior distributionby Jinlin Lai, Yuling YaoFirst submitted to…
Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level…
Decomposing The Dark Matter of Sparse Autoencodersby Joshua Engels, Logan Riggs, Max TegmarkFirst submitted to…
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptationby Zixin Wang, Dong Gong, Sen…
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projectionby Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi…
Large Language Models Are Overparameterized Text Encodersby Thennal D K, Tim Fischer, Chris BiemannFirst submitted…
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokensby Zhepeng Cen, Yao Liu, Siliang…
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Mediaby Owen…
Revisiting SLO and Goodput Metrics in LLM Servingby Zhibin Wang, Shipeng Li, Yuhang Zhou, Xue…