A DVDrive Approach for doScenes Instructed Driving Challenge
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Noticias de IA
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Cross-Modal Corroboration for Annotation-Free Wildlife Monitoring
The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning
VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct
Breaking chains with trees: Deep learning with $\mathcal{O}(\log N)$ parallel time comple…
SPIRAL: Learning to Search and Aggregate
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
Decoupling the Declarative from the Procedural in Vision-Language-Action Models
TailorMind: Towards Preference-Aligned Multimodal Content Generation
Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth…
An LLM-Orchestrated Agent for Directional-Coupler Design with Self-Consistent Eigenmode a…
Ghost Vectors: Soft-Deleted Embeddings Remain Reconstructible in HNSW Vector Databases
Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBo…
Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing
Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinica…
AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domai…
CORTIS: Text-Only Adaptation of Spoken Language Models for Task-Oriented Voice Agents
Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Pla…
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge …
Investigating Linguistic Steering: An Analysis of Adjectival Effects Across Large Languag…
Human-Less LLM Serving: Quantifying the Human Tax on Throughput
Role-Based Agentic AI for Intent-Driven Network and Service Orchestration
Turning Intent into Specifications: A Benchmark and an Interactive User-Assistant Agent
Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Mod…
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
Delay-Adaptive Speculation Control for Low-Latency Edge-Cloud LLM Inference
HAAS Studio: A Tool for Simulating, Benchmarking, and Governing Human-AI Work Allocation
AI Companions as Hyper Attachment and Caregiving Targets
Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security De…
CourseBlueprint: A Structured Pipeline for Adaptive Pedagogical Video Generation Grounded…