Floating-Point

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2 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Systematic Fp16 DivergenceFp8Low-Precision Formats

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Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Floating-Point.

26 papers

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  1. Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding

    Sep 3, 2026Gaspard Quenard, Takudzwa Togarepi, Damien Pellier +1SatisfiabilityTool Planning

  2. Train What You Deploy: Closing the MLP Reachability Gap in Low-Rank Clone Distillation

    Sep 2, 2026Wenhui Chen, Zhifeng Li, Jie Zhou +5Confidence-Gated Closed-Loop Distillation FrameworkLarge Language Model Compression

  3. From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs

    Jul 29, 2026Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis +5LLM Inference EfficiencyEnergy Based Models

  4. Formally Verified Synthesizable Floating-Point Data Types in ARCH HDL

    Jul 26, 2026Shuqing ZhaoFloating-PointSystematic Fp16 Divergence

  5. Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning

    Jul 10, 2026Wenxi Gao, Guanxi Lu, Didi Zhu +5Multimodal ReasoningGuidance

  6. The Silent Freeze: Predicting When Low-Precision Training Stops Learning

    Jul 9, 2026Zekai ShangLow-Precision TrainingFloating-Point

  7. Benchmarking Large Language Models on Floating-Point Error Classification

    Jun 30, 2026Lisa Taldir, Muhammad Ahmad Saeed, David Defour +2Large Language Model BenchmarksFloating-Point

  8. Compiling Differentiable Audio Graphs to Real-Time DSP

    Jun 19, 2026Facundo Franchino, Sebastian J. SchlechtAudio Generation and ProcessingGraph Signal Processing

  9. The Correctness Illusion in LLM-Generated GPU Kernels

    Jun 18, 2026Dipankar SarkarGraphics Processing Unit KernelsCorrectness

  10. ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training

    Jun 14, 2026Janghwan Lee, Sihwa Lee, Jinseok Kim +4Fp8Floating-Point

  11. Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy

    Jun 8, 2026Haozhe Hu, Hao Wu, Anhao Zhao +4Magnitude-Based PruningLLM Inference Efficiency

  12. sGPO: Trading Inference FLOPs for Training Efficiency in RLVR

    Jun 7, 2026Shivchander Sudalairaj, Kai Xu, Akash Srivastava +1Verifiable RewardsLong Rollouts

  13. Hiding in Plain Floats: Steganographic Carriers for Indirect Prompt and Content Injection

    Jun 7, 2026Mudit Sinha, Sanika ChavanSteganographyLanguage Model Evasion Attacks

  14. Curvature-aware dynamic precision approach for physics-informed neural networks

    Jun 3, 2026Yingjie Shao, Ioannis N. Athanasiadis, George van Voorn +1Conventional Physics-Informed Neural NetworksCurvature Prediction Quality

  15. dMX: Differentiable Mixed-Precision Assignment for Low-Precision Floating-Point Formats

    Jun 2, 2026Giuseppe Franco, Ian Colbert, Pablo Monteagudo-Lago +2Mixed-Precision QuantizationFloating-Point

  16. Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning

    Jun 1, 2026Andrew Fitzgibbon, Christoph M. Wintersteiger, Jeffrey SarnoffFloating-PointLow-Precision Training

  17. Bit-Exact AI Inference Verification Without Performance Tradeoffs

    May 29, 2026Naci CankayaLLM Inference EfficiencyFloating-Point

  18. Expressive Power of Floating-Point Neural Networks with Arbitrary Reduction Orders and Inexact Activation Implementations

    May 27, 2026Yeachan Park, Geonho Hwang, Wonyeol Lee +1Floating-PointActivation Functions

  19. Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models

    May 25, 2026Inés Gonzalez-Pepe, Hiba Akhaddar, Tristan Glatard +1PytorchFloating-Point

  20. Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training

    May 25, 2026Yingying Cheng, Jinquan Shi, Li Zhou +4Low-Precision TrainingFloating-Point

  21. Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning

    May 22, 2026Yoshihiko Fujisawa, Yuma Ichikawa, Yudai Fujimoto +2Low-Rank AdaptersLarge Language Model Adaptation

  22. Instant GPU Efficiency Visibility at Fleet Scale

    May 20, 2026Connor Pedersen, Dong H. Ahn, Michel Migdal +2High-Performance ComputingTensor Programs

  23. Search Your Block Floating Point Scales!

    May 12, 2026Tanmaey Gupta, Hayden Prairie, Xiaoxia Wu +10QuantizationFloating-Point

  24. Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients

    May 3, 2026Sejun Park, Yeachan Park, Geonho HwangFloating-PointActivation Functions

  25. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

    Apr 26, 2026DeepSeek-AI, Anyi Xu, Bangcai Lin +316Efficient Long-Context InferenceDeepseek-R1

  26. Lipschitz-Based Robustness Certification Under Floating-Point Execution

    Mar 6, 2026Toby MurrayFloating-PointLipschitz Constant