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[2603.17205] OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
Machine Learning

[2603.17205] OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation

Abstract page for arXiv paper 2603.17205: OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation

arXiv - Machine Learning · 4 min ·
[2601.03811] EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging
Llms

[2601.03811] EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging

Abstract page for arXiv paper 2601.03811: EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging

arXiv - Machine Learning · 4 min ·
[2512.12090] SPDMark: Selective Parameter Displacement for Robust Video Watermarking
Machine Learning

[2512.12090] SPDMark: Selective Parameter Displacement for Robust Video Watermarking

Abstract page for arXiv paper 2512.12090: SPDMark: Selective Parameter Displacement for Robust Video Watermarking

arXiv - Machine Learning · 4 min ·

All Content

[2508.19897] The Information Dynamics of Generative Diffusion
Machine Learning

[2508.19897] The Information Dynamics of Generative Diffusion

Abstract page for arXiv paper 2508.19897: The Information Dynamics of Generative Diffusion

arXiv - Machine Learning · 4 min ·
[2508.15090] Mapping the Course for Prompt-based Structured Prediction
Llms

[2508.15090] Mapping the Course for Prompt-based Structured Prediction

Abstract page for arXiv paper 2508.15090: Mapping the Course for Prompt-based Structured Prediction

arXiv - AI · 3 min ·
[2508.00307] Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD
Machine Learning

[2508.00307] Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD

Abstract page for arXiv paper 2508.00307: Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD

arXiv - AI · 4 min ·
[2411.12135] Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects
Machine Learning

[2411.12135] Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects

Abstract page for arXiv paper 2411.12135: Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compress...

arXiv - Machine Learning · 3 min ·
[2507.20423] CodeNER: Code Prompting for Named Entity Recognition
Llms

[2507.20423] CodeNER: Code Prompting for Named Entity Recognition

Abstract page for arXiv paper 2507.20423: CodeNER: Code Prompting for Named Entity Recognition

arXiv - AI · 4 min ·
[2410.13874] Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation
Machine Learning

[2410.13874] Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation

Abstract page for arXiv paper 2410.13874: Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for D...

arXiv - Machine Learning · 4 min ·
[2507.14237] U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model
Machine Learning

[2507.14237] U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model

Abstract page for arXiv paper 2507.14237: U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model

arXiv - AI · 3 min ·
[2410.12476] Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation
Llms

[2410.12476] Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation

Abstract page for arXiv paper 2410.12476: Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation

arXiv - Machine Learning · 4 min ·
[2506.14861] BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models
Llms

[2506.14861] BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models

Abstract page for arXiv paper 2506.14861: BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models

arXiv - AI · 4 min ·
[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models
Llms

[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models

Abstract page for arXiv paper 2506.13734: Instruction Following by Principled Boosting Attention of Large Language Models

arXiv - Machine Learning · 4 min ·
[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Llms

[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Abstract page for arXiv paper 2506.12104: DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

arXiv - AI · 4 min ·
[2505.24840] The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition
Llms

[2505.24840] The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition

Abstract page for arXiv paper 2505.24840: The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition

arXiv - Machine Learning · 3 min ·
[2306.04810] Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Machine Learning

[2306.04810] Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry

Abstract page for arXiv paper 2306.04810: Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neur...

arXiv - Machine Learning · 4 min ·
[2502.05228] Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation
Machine Learning

[2502.05228] Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation

Abstract page for arXiv paper 2502.05228: Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Invo...

arXiv - AI · 4 min ·
[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding
Machine Learning

[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding

Abstract page for arXiv paper 2006.09534: Discriminative reconstruction via simultaneous dense and sparse coding

arXiv - Machine Learning · 4 min ·
[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
Llms

[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends

Abstract page for arXiv paper 2410.15281: LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments...

arXiv - AI · 4 min ·
[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
Llms

[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

Abstract page for arXiv paper 2410.10700: LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

arXiv - AI · 4 min ·
[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers
Llms

[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

Abstract page for arXiv paper 2408.13366: CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

arXiv - Machine Learning · 3 min ·
[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
Machine Learning

[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

Abstract page for arXiv paper 2404.05290: MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

arXiv - AI · 4 min ·
[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Machine Learning

[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Abstract page for arXiv paper 2401.11605: Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

arXiv - Machine Learning · 3 min ·
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