bambolleo's Top FindsLoading...
The Peculiar Case of Japanese Web Design
sabrinas.space·3d·
Discuss: Lobsters, r/programming
Not There Yet: Evaluating Vision Language Models in Simulating the Visual Perception of People with Low Vision
arxiv.org·2d
From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms
arxiv.org·5d
🤖AI
Accelerating exoplanet climate modelling: A machine learning approach to complement 3D GCM grid simulations
arxiv.org·5d
🦾Rust ML
My Interview With Cade Metz on His Reporting About Lighthaven
lesswrong.com·3d
X-Node: Self-Explanation is All We Need
arxiv.org·5d
🕯️Candle
BIPOLAR: Polarization-based granular framework for LLM bias evaluation
arxiv.org·2d
Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
arxiv.org·2d
Is ChatGPT-5 Ready for Mammogram VQA?
arxiv.org·2d
Agoran: An Agentic Open Marketplace for 6G RAN Automation
arxiv.org·6d
⏱️Real-time Systems
Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
arxiv.org·2d
ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
arxiv.org·6d
🕯️Candle
Sign up or login to customize your feed and get personalized topic recommendations
Sign UpLogin
Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
arxiv.org·5d
🕯️Candle
Thematic and Task-Based Categorization of K-12 GenAI Usages with Hierarchical Topic Modeling
arxiv.org·5d
🦾Rust ML
Detection of Odor Presence via Deep Neural Networks
arxiv.org·6d
🕯️Candle
Deep Learning in Classical and Quantum Physics
arxiv.org·5d
🕯️Candle
Towards Effective MLLM Jailbreaking Through Balanced On-Topicness and OOD-Intensity
arxiv.org·6d
🏗️LLVM
Distributional Robustness in Output Feedback Regret-Optimal Control
arxiv.org·5d
⏱️Real-time Systems
Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models
arxiv.org·5d
🦾Rust ML
Integrated Learning and Optimization to Control Load Demand and Wind Generation for Minimizing Ramping Cost in Real-Time Electricity Market
arxiv.org·6d
⏱️Real-time Systems