Summary of Diesel — Dynamic Inference-guidance Via Evasion Of Semantic Embeddings in Llms, by Ben Ganon et al.
DIESEL – Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMsby Ben Ganon, Alon Zolfi,…
DIESEL – Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMsby Ben Ganon, Alon Zolfi,…
Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulationby Marco Pasini, Javier Nistal, Stefan Lattner,…
STAR: Synthesis of Tailored Architecturesby Armin W. Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli, Michael…
Multiscale spatiotemporal heterogeneity analysis of bike-sharing system’s self-loop phenomenon: Evidence from Shanghaiby Yichen Wang, Qing…
KL-geodesics flow matching with a novel sampling schemeby Egor Sevriugov, Ivan OseledetsFirst submitted to arxiv…
High-Resolution Image Synthesis via Next-Token Predictionby Dengsheng Chen, Jie Hu, Tiezhu Yue, Xiaoming Wei, Enhua…
Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioningby AJ Piergiovanni, Dahun…
Multimodal Autoregressive Pre-training of Large Vision Encodersby Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter,…
Adaptable Embeddings Network (AEN)by Stan Loosmore, Alexander TitusFirst submitted to arxiv on: 21 Nov 2024CategoriesMain:…
Closer Look at Efficient Inference Methods: A Survey of Speculative Decodingby Hyun Ryu, Eric KimFirst…