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18307 items — filtered, classified, deduplicated

Hacker News (AI filter) Research & Papers
Zero-Mem: Zero-Token Memory Operations for LLM Agents
TechCrunch AI Research & Papers
Open-weight AI models are catching up to the frontier. The safety gap remains.
Hugging Face Daily Papers Research & Papers
ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs
Hugging Face Daily Papers Research & Papers
ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning
Hugging Face Daily Papers Research & Papers
Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input P…
Hugging Face Daily Papers Research & Papers
Separating quantum circuits from classical LLMs
Hugging Face Daily Papers Research & Papers
UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-D…
Hugging Face Daily Papers Research & Papers
MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language General…
Hugging Face Daily Papers Research & Papers
ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?
Hugging Face Daily Papers Research & Papers
FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synt…
Hugging Face Daily Papers Research & Papers
Autoreflection: How Agentic Strange Loops Turn Human Culture into AI Infrastructure
Hugging Face Daily Papers Research & Papers
Does Forgetting Transfer Across Modalities? A Real-World Benchmark for Cross-Modal Knowle…
Hugging Face Daily Papers Research & Papers
Can LLMs Test Terminal User Interfaces?
Hugging Face Daily Papers Research & Papers
Failure-Informed Image Self-Augmentation for Multimodal Large Language Model Self-Improve…
Hugging Face Daily Papers Research & Papers
When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Coupling Diagnostic fo…
Hugging Face Daily Papers Research & Papers
Attention is Case-Sensitive
Hugging Face Daily Papers Research & Papers
Predicting Deep Neural Network Training Outcomes from Early Training Telemetry
Hugging Face Daily Papers Research & Papers
To Describe or Construct Statistical Learning Models Using the Category-theoretical Langu…
Hugging Face Daily Papers Research & Papers
Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph
Hugging Face Daily Papers Research & Papers
DiagLoop: A Counterfactual Data Flywheel with Stage-Localized Reinforcement for Diagnosti…
Hugging Face Daily Papers Research & Papers
CausalOPD: First-Wrong-Step Supervision for Distilling Causal Chain Reasoning
Microsoft Source (AI + Cloud) Research & Papers
Teaching AI to speak the language of pathology
Hugging Face Daily Papers Research & Papers
Learning Biomechanically Plausible Human Motion from Sparse Radar Point Clouds
Hugging Face Daily Papers Research & Papers
When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation
Hugging Face Daily Papers Research & Papers
AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Age…
Hugging Face Daily Papers Research & Papers
When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Rea…
Hugging Face Daily Papers Research & Papers
Can LLM design high-quality experiments? A Comprehensive and Systematic Benchmark on Auto…
Hugging Face Daily Papers Research & Papers
FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare
Hugging Face Daily Papers Research & Papers
SGFormer: Structure-Guided Transformer for Robust Local Feature Matching
Hugging Face Daily Papers Research & Papers
FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection