Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representationsby Yize Zhao, Tina…
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillationby Lujun Gui, Bin Xiao,…
Generative Verifiers: Reward Modeling as Next-Token Predictionby Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi,…
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Modelsby Hongfu Liu, Yuxi Xie, Ye…
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddingsby Duo Wang,…
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentationby Trung Dinh Quoc Dang, Huy Hoang Nguyen,…
Assessing Contamination in Large Language Models: Introducing the LogProber methodby Nicolas Yax, Pierre-Yves Oudeyer, Stefano…
Selective Preference Optimization via Token-Level Reward Function Estimationby Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin…
A Law of Next-Token Prediction in Large Language Modelsby Hangfeng He, Weijie J. SuFirst submitted…
HMoE: Heterogeneous Mixture of Experts for Language Modelingby An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng…