🖥️ Computing & GPUs107 papers · page 1 of 5 · newest first · all shelvesGPUs and parallel computing, compilers and languages, systems, databases, security, search and the web.1 2 3 4 5 next →AlphaEvolve: A coding agent for scientific and algorithmic discoveryAlexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025KernelBench: Can LLMs Write Efficient GPU Kernels?Anne Ouyang, Simon Guo, Simran Arora, et al.2025Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionJingyang Yuan, Huazuo Gao, Damai Dai, et al.2025Break the Sequential Dependency of LLM Inference Using Lookahead DecodingYichao Fu, Peter Bailis, Ion Stoica, et al.2024Code Llama: Open Foundation Models for CodeBaptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionAlex Gu, Baptiste Rozière, Hugh Leather, et al.2024DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyYuhui Li, Fangyun Wei, Chao Zhang, et al.2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationColeman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.2024LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding HeadsTianle Cai, Yuhong Li, Zhengyang Geng, et al.2024QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMsSaleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, et al.2024QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice CodebooksAlbert Tseng, Jerry Chee, Qingyao Sun, et al.2024SWE-agent: Agent-Computer Interfaces Enable Automated Software EngineeringJohn Yang, Carlos E. Jimenez, Alexander Wettig, et al.2024SWE-bench: Can Language Models Resolve Real-World GitHub Issues?Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsSeungju Han, Kavel Rao, Allyson Ettinger, et al.2024DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer ModelsSam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, et al.2023FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUYing Sheng, Lianmin Zheng, Binhang Yuan, et al.2023GlotLID: Language Identification for Low-Resource LanguagesAmir Hossein Kargaran, Ayyoob Imani, François Yvon, et al.2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.2023Llama Guard: LLM-based Input-Output Safeguard for Human-AI ConversationsHakan Inan, Kartikeya Upasani, Jianfeng Chi, et al.2023Mathematical Discoveries from Program Search with Large Language ModelsBernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, et al.2023MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse LanguagesXinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.20231 2 3 4 5 next →