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All Explained Papers · cs.LG

167 papers in cs.LG. Page 1 of 9. ← Back to home

• arXiv:2605.12327 · cs.LG · submitted 2026-05-12 · explained 2026-05-20
  Grid Games: The Power of Multiple Grids for Quantizing Large Language Models
  Vage Egiazarian, Erik Schultheis, Andrei Panferov, et al.
• arXiv:2601.19026 · cs.LG+2 · submitted 2026-01-26 · explained 2026-05-20
  Is Finer Better? The Limits of Microscaling Formats in Large Language Models
  Andrea Fasoli, Monodeep Kar, Chi-Chun Liu, et al.
• arXiv:2512.02010 · cs.CL+1 · submitted 2025-12-01 · explained 2026-05-20
  Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling
  Jack Cook, Junxian Guo, Guangxuan Xiao, et al.
• arXiv:2511.05187 · cs.LG+1 · submitted 2025-11-07 · explained 2026-05-20
  Linear Gradient Prediction with Control Variates
  Kamil Ciosek, Nicolò Felicioni, Juan Elenter Litwin
• arXiv:2510.15821 · cs.LG+2 · submitted 2025-10-17 · explained 2026-05-20
  AccentColor: From Univariate to Universal Forecasting
  Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, et al.
• arXiv:2508.01710 · cs.CL+1 · submitted 2025-08-03 · explained 2026-05-20
  CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications
  Raviraj Joshi, Rakesh Paul, Kanishk Singla, et al.
• arXiv:2506.14922 · cs.CY+1 · submitted 2025-06-17 · explained 2026-05-20
  FORTRESS: Frontier Risk Evaluation for National Security and Public Safety
  Christina Q. Knight, Kaustubh Deshpande, Ved Sirdeshmukh, et al.
• arXiv:2505.20323 · cs.CL+2 · submitted 2025-05-23 · explained 2026-05-20
  PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus
  Shahriar Noroozizadeh, Sayantan Kumar, George H. Chen, et al.
• arXiv:2505.06653 · cs.LG+1 · submitted 2025-05-10 · explained 2026-05-20
  Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations
  Patrick Blumenberg, Thomas Graave, Tim Fingscheidt
• arXiv:2505.03812 · cs.LG · submitted 2025-05-02 · explained 2026-05-20
  Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications
  Tomaso Aste
• arXiv:2407.09450 · cs.AI+3 · submitted 2024-07-12 · explained 2026-05-20
  Human-inspired Episodic Memory for Infinite Context LLMs
  Zafeirios Fountas, Martin A Benfeghoul, Adnan Oomerjee, et al.
• arXiv:2406.18682 · cs.CL+2 · submitted 2024-06-26 · explained 2026-05-20
  The Multilingual Alignment Prism:
  Aakanksha, Arash Ahmadian, Beyza Ermis, et al.
• arXiv:2406.11110 · cs.LG+2 · submitted 2024-06-17 · explained 2026-05-20
  How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD
  Pierfrancesco Beneventano, Andrea Pinto, Tomaso Poggio
• arXiv:2404.04475 · cs.LG+3 · submitted 2024-04-06 · explained 2026-05-20
  Length-Controlled AlpacaEval:
  Yann Dubois, Balázs Galambosi, Percy Liang, et al.
• arXiv:2402.04249 · cs.LG+3 · submitted 2024-02-06 · explained 2026-05-20
  HarmBench: A Standardized Evaluation Framework for Red Teaming and Robust Refusal
  Mantas Mazeika, Long Phan, Xuwang Yin, et al.
• arXiv:2401.11817 · cs.CL+2 · submitted 2024-01-22 · explained 2026-05-20
  Hallucination is Inevitable:
  Ziwei Xu, Sanjay Jain, Mohan Kankanhalli
• arXiv:2311.07911 · cs.CL+2 · submitted 2023-11-14 · explained 2026-05-20
  Instruction-Following Evaluation for Large Language Models
  Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.
• arXiv:2308.13816 · cs.LG+2 · submitted 2023-08-26 · explained 2026-05-20
  Homological Convolutional Neural Networks
  Antonio Briola, Yuanrong Wang, Silvia Bartolucci, et al.
• arXiv:2211.15089 · cs.CL+1 · submitted 2022-11-28 · explained 2026-05-20
  Continuous diffusion for categorical data
  Sander Dieleman, Laurent Sartran, Arman Roshannai, et al.
• arXiv:2110.14168 · cs.LG+1 · submitted 2021-10-27 · explained 2026-05-20
  Training Verifiers to Solve Math Word Problems
  Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al.