Machine Learning · Computer Science
Towards Robust Scaling Laws for Optimizers
Alexandra Volkova, Mher Safaryan, Christoph H. Lampert, Dan Alistarh
2026-02-25
Machine Learning · Computer Science
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Nikhil Sardana, Jacob Portes, Sasha Doubov, Jonathan Frankle
2025-04-15
Machine Learning · Computer Science
Scaling Behavior of Discrete Diffusion Language Models
Dimitri von Rütte, Janis Fluri, Omead Pooladzandi, Bernhard Schölkopf +2
2026-02-17
Computation and Language · Computer Science
Scaling Laws for Discriminative Classification in Large Language Models
Dean Wyatte, Fatemeh Tahmasbi, Ming Li, Thomas Markovich
2024-05-27
Machine Learning · Computer Science
Compute-Optimal LLMs Provably Generalize Better With Scale
Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu +3
2025-04-22
Machine Learning · Computer Science
Scaling Laws for Differentially Private Language Models
Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle +8
2025-02-03
Information Retrieval · Computer Science
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
Kayhan Behdin, Ata Fatahibaarzi, Qingquan Song, Yun Dai +16
2025-10-28
Machine Learning · Computer Science
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
Yuchen Zhu, Wei Guo, Jaemoo Choi, Petr Molodyk +3
2026-02-24
Human-Computer Interaction · Computer Science
Comuniqa : Exploring Large Language Models for improving speaking skills
Manas Mhasakar, Shikhar Sharma, Apurv Mehra, Utkarsh Venaik +3
2024-05-15
Machine Learning · Computer Science
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
Zachary Charles, Gabriel Teston, Lucio Dery, Keith Rush +4
2025-03-14
Distributed, Parallel, and Cluster Computing · Computer Science
An Explorative Study on Distributed Computing Techniques in Training and Inference of Large Language Models
Sheikh Azizul Hakim, Saem Hasan
2025-10-14
Computation and Language · Computer Science
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Siyan Zhao, Devaansh Gupta, Qinqing Zheng, Aditya Grover
2025-06-04
Computation and Language · Computer Science
Scaling Laws for Code: A More Data-Hungry Regime
Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, Rongyi Zhang +4
2026-05-19
Programming Languages · Computer Science
Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis
Anjiang Wei, Tianran Sun, Tarun Suresh, Haoze Wu +2
2026-04-03
Computation and Language · Computer Science
Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs
Haokun Lin, Haobo Xu, Yichen Wu, Ziyu Guo +5
2026-03-17
Computation and Language · Computer Science
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
Chenyang Shao, Sijian Ren, Fengli Xu, Yong Li
2025-11-03
Artificial Intelligence · Computer Science
Scaling up Masked Diffusion Models on Text
Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang +4
2025-03-03
Machine Learning · Computer Science
Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models
Datta Nimmaturi, Vaishnavi Bhargava, Rajat Ghosh, Johnu George +1
2026-03-23
Machine Learning · Computer Science
DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
Hanyang Zhao, Dawen Liang, Wenpin Tang, David Yao +1
2026-01-13