Scaling Laws

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Period ending 2026-09-21

12 new papers

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  1. Efficient Test-Time Scaling via Temporal Reasoning Aggregation

    Apr 19, 2026Jiakun Li, Xingwei He, Kefan Li +3Test-Time ScalingTest Time

  2. Clover: A Neural-Symbolic Agentic Harness with Stochastic Tree-of-Thoughts for Verified RTL Repair

    Apr 19, 2026Zizhang Luo, Yansong Xu, Runlin Guo +6BugMock-Interface Synthesis

  3. FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time

    Apr 17, 2026Montgomery Bohde, Hongxuan Liu, Mrunali Manjrekar +4Tandem Mass SpectraMolecular Generation

  4. AgentV-RL: Scaling Reward Modeling with Agentic Verifier

    Apr 17, 2026Jiazheng Zhang, Ziche Fu, Zhiheng Xi +13Agentic ReasoningLarge Language Model Reasoning

  5. LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

    Apr 16, 2026Jack Wei Lun Shi, Minghao Dang, Wawan Solihin +1Large Language Model PerformanceCode Quality

  6. SCATR: Simple Calibrated Test-Time Ranking

    Apr 16, 2026Divya Shyamal, Marta Knežević, Lan Tran +3Test-Time ScalingScoring

  7. Scaling Test-Time Compute for Agentic Coding

    Apr 16, 2026Joongwon Kim, Wannan Yang, Kelvin Niu +13Long-Horizon AgentsTest Time

  8. Stability and Generalization in Looped Transformers

    Apr 16, 2026Asher LabovichTransformer ArchitecturesFixed-Point Iteration

  9. Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization

    Apr 16, 2026Zhiyuan Zhai, Bingcong Li, Bingnan Xiao +2Test-Time ScalingLarge Language Model Reasoning

  10. Physics-Grounded Monocular Vehicle Distance Estimation Using Standardized License Plate Typography

    Apr 14, 2026Manognya Lokesh Reddy, Zheng LiuLicense Plate Character DetectionMonocular Depth Estimation

  11. How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models

    Apr 6, 2026Gregory N. FrankLarge Language Model SafetyLarge Language Model Alignment

  12. A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling

    Mar 28, 2026Kirill Skobelev, Eric Fithian, Yegor Baranovski +9Gradient SurgerySurgical Videos

  13. NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing

    Mar 20, 2026Raphael Simon, José Carrasquel, Wim Mees +1Penetration TestingSimulation-Based Reinforcement Learning

  14. LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion

    Mar 15, 2026Zengqun Zhao, Ziquan Liu, Yu Cao +5Pre-Trained Video Diffusion ModelsDenoising Trajectory

  15. TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning

    Mar 3, 2026Christian Greisinger, Steffen EgerText-To-ImageSketches

  16. Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?

    Mar 2, 2026Jihwan Kim, Dogyoon Song, Chulhee YunStochastic Gradient DescentScaling Laws

  17. OSF: On Pre-training and Scaling of Sleep Foundation Models

    Feb 27, 2026Zitao Shuai, Zongzhe Xu, David Yang +2Wireless Foundation ModelsNeural Scaling Laws

  18. Xray-Visual Models: Scaling Vision models on Industry Scale Data

    Feb 18, 2026Shlok Mishra, Tsung-Yu Lin, Linda Wang +24Vision Foundation ModelsCross-Modal Learning

  19. Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance

    Feb 17, 2026Hua Yan, Heng Tan, Yu YangMobilityUser Simulation

  20. Deriving Neural Scaling Laws from the statistics of natural language

    Feb 7, 2026Francesco Cagnetta, Allan Raventós, Surya Ganguli +1Scaling LawsLarge Models

  21. Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay

    Feb 6, 2026Binghui Li, Zilin Wang, Fengling Chen +3Learning RatesScaling Laws

  22. SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs

    Feb 6, 2026Niccolo Avogaro, Nayanika Debnath, Li Mi +6Large Vision Language ModelsVisual Reasoning

  23. Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions

    Feb 4, 2026Dmitry Yarotsky, Eugene Golikov, Yaroslav GusevGradient FlowWasserstein Gradient Flows

  24. PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

    Feb 3, 2026Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik +4Relational Deep LearningSynthetic Data

  25. Geometry-Preserving Neural Architectures on Manifolds with Boundary

    Feb 3, 2026Karthik Elamvazhuthi, Shiba Biswal, Kian Rosenblum +4ManifoldsRepresentational Geometry

  26. DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers

    Feb 2, 2026Ionut-Vlad Modoranu, Philip Zmushko, Erik Schultheis +2Spectral PreconditioningNewton

  27. What If We Allocate Test-Time Compute Adaptively?

    Feb 1, 2026Ahsan Bilal, Ahmed Mohsin, Muhammad Umer +4Test-Time ScalingEfficient Inference

  28. It's all In the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms

    Jan 29, 2026Keegan Kang, Kerong Wang, Ding Zhang +3EstimatorsExponents

  29. MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources

    Jan 29, 2026Baorui Ma, Jiahui Yang, Donglin Di +5Depth EstimationVision Foundation Models

  30. More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)

    Jan 29, 2026Sagi Meir, Tommer D. Keidar, Noam Levi +2LLM Inference EfficiencyToken Budgets

  31. GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models

    Jan 26, 2026Shaokang Wang, Pei Fu, Ruoceng Zhang +7Critic LearningGraphical User Interface

  32. AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs

    Jan 9, 2026Chengming Cui, Tianxin Wei, Ziyi Chen +6Large Language Model AdaptationEnsemble

  33. EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance

    Dec 19, 2025Ankit Yadav, Ta Duc Huy, Lingqiao LiuDiffusion SamplingGenerative Quality

  34. From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis

    Dec 15, 2025Łukasz DębowskiPower-Law DistributionKullback-Leibler Divergence

  35. ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth

    Dec 2, 2025Salman Rahman, Sruthi Gorantla, Arpit Gupta +3Reliable Medical Process-Level Reward Model Evaluation FrameworkProcess Reward Modeling

  36. Scaling Latent Reasoning via Looped Language Models

    Oct 29, 2025Rui-Jie Zhu, Zixuan Wang, Kai Hua +30Large Language Model ReasoningEfficient Latent Reasoning

  37. Rethinking Reward Models for Multi-Domain Test-Time Scaling

    Oct 1, 2025Dong Bok Lee, Seanie Lee, Sangwoo Park +12Reasoning-Aware RewardTest-Time Scaling

  38. ScalingAR: Scaling Confidence for Autoregressive Image Generation

    Sep 30, 2025Harold Haodong Chen, Xianfeng Wu, Wen-Jie Shu +4Autoregressive Image GenerationImage Generation

  39. Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals

    Sep 15, 2025Milan Marocchi, Matthew Fynn, Kayapanda Mandana +1Congenital Heart DiseaseMultimodal Physiological Signals

  40. Beyond Scaling Law: A Data-Efficient Distillation Framework for Reasoning

    Aug 13, 2025Xiaojun Wu, Xiaoguang Jiang, Huiyang Li +11Scaling Laws

  41. Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

    May 26, 2025Safa Hamreras, Sukhbinder Singh, Román OrúsTensor NetworksNeural Network

  42. Accelerating scientific discovery with Co-Scientist

    Feb 26, 2025Juraj Gottweis, Wei-Hung Weng, Alexander Daryin +48Scientific AgentsScientific Discovery

  43. Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling

    Feb 21, 2025Yufan Li, Pragya SurMulticalibration and CalibrationBinary Classification

  44. How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

    Nov 15, 2024Masoud Mohseni, Artur Scherer, K. Grace Johnson +48Quantum ComputingHybrid Quantum Neural Networks

  45. Data Scaling Laws in Imitation Learning for Robotic Manipulation

    Oct 24, 2024Fanqi Lin, Yingdong Hu, Pingyue Sheng +3Imitation LearningRobot Policies

  46. Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets

    Mar 7, 2024Zixiong Yu, Guhan Chen, Jianfa Lai +2Over-Parameterized Neural NetworksResidual Connections

  47. An Overview of Formulae for the Higher-Order Kinematics of Lower-Pair Chains with Applications in Robotics and Mechanism Theory

    Sep 10, 2023Andreas MuellerKinematicsLie Group

  48. Multiperiodic Processes: Ergodic Sources with a Sublinear Entropy

    Feb 17, 2023Łukasz DębowskiScaling Laws

  49. Universal Topological Regularity of Syntactic Structures

    Jan 31, 2023Fermín Moscoso del Prado MartínSyntactic StructureUniversality

  50. SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers

    Date pendingShaowen Wang, Ge Zhang, Kairong Luo +6Transformer LayersTransformer Architectures

  51. Teaching Vision-Language Models to Use the Scale They Are Given: Label-Free Equivariance Training for Metric Physical Reasoning

    Date pendingKaizhen Tan, Yang Feng, Heqing Du +3Large Vision Language ModelsVisual Grounding