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All Explained Papers · cs.LG

1727 papers in cs.LG. Page 2 of 87. ← Back to home

• arXiv:2502.16982 · cs.LG+2 · submitted 2025-02-24 · explained 2026-08-20
  0.1[width=0.032]figures/logo.png Muon is Scalable for LLM Training
  Jingyuan Liu, Jianlin Su, Xingcheng Yao, et al.
• arXiv:2502.14382 · cs.LG+1 · submitted 2025-02-20 · explained 2026-08-20
  ~Test Time Scaling for Code Generation
  Dacheng Li, Shiyi Cao, Chengkun Cao, et al.
• arXiv:2502.12224 · cs.AI+1 · submitted 2025-02-17 · explained 2026-08-20
  Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate
  Zhiyuan Fang, Zicong Hong, Yuegui Huang, et al.
• arXiv:2410.18976 · cs.CV+4 · submitted 2024-10-24 · explained 2026-08-20
  [width=1cm]Figures/Camel.pdf CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
  Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.
• arXiv:2409.01115 · cs.LG · submitted 2024-09-02 · explained 2026-08-20
  Time series classification with random convolution kernels: pooling operators and input representations matter
  Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi, et al.
• arXiv:2407.21439 · cs.AI+2 · submitted 2024-07-31 · explained 2026-08-20
  MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
  Zhanpeng Chen, Chengjin Xu, Yiyan Qi, et al.
• arXiv:2407.01032 · cs.LG+2 · submitted 2024-07-01 · explained 2026-08-20
  Overcoming Common Flaws in the Evaluation of Selective Classification Systems
  Jeremias Traub, Till J. Bungert, Carsten T. Lüth, et al.
• arXiv:2404.14986 · cs.LG+1 · submitted 2024-04-23 · explained 2026-08-20
  MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
  Kerstin Kläser, Błażej Banaszewski, Samuel Maddrell-Mander, et al.
• arXiv:2403.07974 · cs.SE+2 · submitted 2024-03-12 · explained 2026-08-20
  LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
  Naman Jain, King Han, Alex Gu, et al.
• arXiv:2402.07033 · cs.LG+3 · submitted 2024-02-10 · explained 2026-08-20
  Fiddler: CPU-GPU Orchestration for Inference of Mixture-of-Experts Models
  Keisuke Kamahori, Tian Tang, Yile Gu, et al.
• arXiv:2401.15077 · cs.LG+1 · submitted 2024-01-26 · explained 2026-08-20
  [width=0.06]./figs/logo EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
  Yuhui Li, Fangyun Wei, Chao Zhang, et al.
• arXiv:2401.13649 · cs.LG+2 · submitted 2024-01-24 · explained 2026-08-20
  VisualWebArena: Evaluating Multimodal Agents on Realistic Visually Grounded Web Tasks
  Jing Yu Koh, Robert Lo, Lawrence Jang, et al.
• arXiv:2311.06233 · cs.CL+2 · submitted 2023-11-10 · explained 2026-08-20
  Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models
  Shahriar Golchin, Mihai Surdeanu
• arXiv:2310.01334 · cs.LG+2 · submitted 2023-10-02 · explained 2026-08-20
  Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
  Pingzhi Li, Zhenyu Zhang, Prateek Yadav, et al.
• arXiv:2309.07200 · cs.LG+2 · submitted 2023-09-13 · explained 2026-08-20
  Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
  Marco Federici, Patrick Forré, Ryota Tomioka, et al.
• arXiv:2307.15043 · cs.CL+3 · submitted 2023-07-27 · explained 2026-08-20
  Universal and Transferable Adversarial Attacks on Aligned Language Models
  Andy Zou, Zifan Wang, Nicholas Carlini, et al.
• arXiv:2302.06675 · cs.LG+4 · submitted 2023-02-13 · explained 2026-08-20
  25pt Symbolic Discovery of Optimization Algorithms
  Xiangning Chen, Chen Liang, Da Huang, et al.
• arXiv:2211.17192 · cs.LG+1 · submitted 2022-11-30 · explained 2026-08-20
  Fast Inference from Transformers via Speculative Decoding
  Yaniv Leviathan, Matan Kalman, Yossi Matias
• arXiv:2101.03961 · cs.LG+1 · submitted 2021-01-11 · explained 2026-08-20
  Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
  William Fedus, Barret Zoph, Noam Shazeer
• arXiv:2011.14821 · cs.LG+2 · submitted 2020-11-23 · explained 2026-08-20
  Discovering Causal Structure with Reproducing-Kernel Hilbert Space
  Nicolas Brodu, James P. Crutchfield