INFRAMIND: Infrastructure-Aware Multi-Agent Orchestration
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Noticias de IA
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Knowing When to Ask: Self-Gated Clarification for Hierarchical Language Agents
Can AI Agents Synthesize Scientific Conclusions?
Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Proce…
Interpretable Factor Decomposition for Decision Intelligence in Large-Scale Financial Mar…
CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewi…
Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing
SymQNet: Amortized Acquisition for Low-Latency Adaptive Hamiltonian Learning
Agentic MPC for Semantic Control System Resynthesis
How an astrophysicist uses Codex to help simulate black holes
Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5
Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics
Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learn…
Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks
ALIGNBEAM : Inference-Time Alignment Transfer via Cross-Vocabulary Logit Mixing
Claude Fable 5's Hardest Test Was Knowing the Metric Was Wrong
Finding Sparse Subnetworks in One Training Cycle via Progressive Magnitude-Based Pruning
Finding Multiple Interpretations in Datasets
Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion La…
How memory tools can make AI models worse
German court holds Google liable for false AI Overview answers
VIA-SD: Verification via Intra-Model Routing for Speculative Decoding
Re-evaluating Confidence Remasking in Masked Diffusion Language Models
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models
MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representatio…
A Resource for Enthymeme Detection in Controversial Political Discourse
How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit
Time-Conditioned and Multi-Time Survival Prediction from 2D PET/CT Projections in Lung Ca…