Summary of Dynamic Depth Decoding: Faster Speculative Decoding For Llms, by Oscar Brown et al.
Dynamic Depth Decoding: Faster Speculative Decoding for LLMsby Oscar Brown, Zhengjie Wang, Andrea Do, Nikhil…
Dynamic Depth Decoding: Faster Speculative Decoding for LLMsby Oscar Brown, Zhengjie Wang, Andrea Do, Nikhil…
LLMs hallucinate graphs too: a structural perspectiveby Erwan Le Merrer, Gilles TredanFirst submitted to arxiv…
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedbackby Jiayi Zhou, Jiaming Ji, Juntao…
Transient Fault Tolerant Semantic Segmentation for Autonomous Drivingby Leonardo Iurada, Niccolò Cavagnero, Fernando Fernandes Dos…
MemLong: Memory-Augmented Retrieval for Long Text Modelingby Weijie Liu, Zecheng Tang, Juntao Li, Kehai Chen,…
Beyond Preferences in AI Alignmentby Tan Zhi-Xuan, Micah Carroll, Matija Franklin, Hal AshtonFirst submitted to…
Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Samplingby Guangya Wan, Yuqi Wu, Jie…
Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithmsby Ahmed Ben Yahmed, Clément Calauzènes,…
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformersby Juncan Deng, Shuaiting Li, Zeyu Wang, Hong…
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoningby Xiaoye Qu,…