🤖 AI & machine learning204 papers · page 2 of 9 · newest first · all shelvesNeural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated.← prev 1 2 3 4 5 6 7 8 9 next →InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024Large Language Model based Multi-Agents: A Survey of Progress and ChallengesTaicheng Guo, Xiuying Chen, Yaqi Wang, et al.2024Large Language Models: A SurveyShervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsSimone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.2024LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersParishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksAnna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.2024Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding HeadsTianle Cai, Yuhong Li, Zhengyang Geng, et al.2024MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringJun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al.2024Multilingual E5 Text Embeddings: A Technical ReportLiang Wang, Nan Yang, Xiaolong Huang, et al.2024NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024OpenHands: An Open Platform for AI Software Developers as Generalist AgentsXingyao Wang, Boxuan Li, Yufan Song, et al.2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer EnvironmentsTianbao Xie, Danyang Zhang, Jixuan Chen, 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.2024RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalParth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024SliceGPT: Compress Large Language Models by Deleting Rows and ColumnsSaleh Ashkboos, Maximilian L. Croci, Marcelo Gennari do Nascimento, et al.2024SnapKV: LLM Knows What You are Looking for Before GenerationYuhong Li, Yingbing Huang, Bowen Yang, et al.2024The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryChris Lu, Cong Lu, Robert Tjarko Lange, et al.2024The Faiss libraryMatthijs Douze, Alexandr Guzhva, Chengqi Deng, et al.2024The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary ProceedingsGili Goldin, Nick Howell, Noam Ordan, et al.2024← prev 1 2 3 4 5 6 7 8 9 next →