🖥️ Computing & GPUs107 papers · page 2 of 5 · newest first · all shelvesGPUs and parallel computing, compilers and languages, systems, databases, security, search and the web.← prev 1 2 3 4 5 next →Query2doc: Query Expansion with Large Language ModelsLiang Wang, Nan Yang, Furu Wei2023Reflexion: Language Agents with Verbal Reinforcement LearningNoah Shinn, Federico Cassano, Edward Berman, et al.2023Ring Attention with Blockwise Transformers for Near-Infinite ContextHao Liu, Matei Zaharia, Pieter Abbeel2023SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023SqueezeLLM: Dense-and-Sparse QuantizationSehoon Kim, Coleman Hooper, Amir Gholami, et al.2023A Holistic Approach to Undesired Content Detection in the Real WorldTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022BERTopic: Neural topic modeling with a class-based TF-IDF procedureMaarten Grootendorst2022CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionKeshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022Competition-Level Code Generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.2022DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScaleSamyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022Reducing Activation Recomputation in Large Transformer ModelsVijay Korthikanti, Jared Casper, Sangkug Lym, et al.2022UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationDaya Guo, Shuai Lu, Nan Duan, et al.2022ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersZhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.20228-bit Optimizers via Block-wise QuantizationTim Dettmers, Mike Lewis, Sam Shleifer, et al.2021BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021Evaluating Large Language Models Trained on CodeMark Chen, Jerry Tworek, Heewoo Jun, et al.2021GraphCodeBERT: Pre-training Code Representations with Data FlowDaya Guo, Shuo Ren, Shuai Lu, et al.2021Measuring Coding Challenge Competence With APPSDan Hendrycks, Steven Basart, Saurav Kadavath, et al.2021Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021SPLADE: Sparse Lexical and Expansion Model for First Stage RankingThibault Formal, Benjamin Piwowarski, Stéphane Clinchant2021Unified Pre-training for Program Understanding and GenerationWasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021ZeRO-Offload: Democratizing Billion-Scale Model TrainingJie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.2021← prev 1 2 3 4 5 next →