33 citations · 68 across the 16 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CL2026
Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation
Hermann Kumbong, Ishan S. Khare, Iddah Mlauzi +6
Diffusion language models (DLMs) offer parallel sampling for faster generation than autoregressive models, an increasingly important advantage as inference becomes a dominant compu…
cs.DC2026
SyclKittens: A Tile Programming Model for Programmers and Coding Agents on Intel GPUs
Yehong Jiang, Sheng Chen, Fangwen Fu +4
New AI accelerators arrive before the kernels that make them fast, because peak kernel performance requires architecture-specific expertise in operand pipelines and data-movement t…
cs.OS2026
ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System
Hao Kang, Ziyang Li, Weili Xu +7
Large language models(LLMs) are now used to power complex multi-turn agentic workflows. Existing systems run agentic inference by loosely assembling isolated components: an LLM inf…