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Parallel Hybrid Architecture Combines GSS and Attention for Efficient Long-Context Language Modeling NVMOS: Novel AI Model Predicts Perceptual Quality of Non-Verbal Vocalizations in Speech CoffeeBench: New Benchmark Evaluates LLM Agents in Multi-Agent Economic Simulations Proximal Policy Optimization Achieves Faster Convergence in Discrete Sampling Research PolyKV: Layer-Wise KV Cache Compression Boosts LLM Inference Efficiency by Up to 54.5% Kairos Stack Promises Native World Models for Physical AI Across Heterogeneous Experience ‘Pretty Crazy’ Token Usage Tests Enterprise AI Bets as Companies Balance Costs and Gains New Algorithm for Multi-Turn AI Agents Reduces Compounding Errors in Knowledge Distillation EC-Script: New LLM Agent Framework Offers Controllable Emotional Trajectories for Narrative Generation LLM-Powered Virtual Population Model Simulates Demand for Smarter Pricing Decisions Parallel Hybrid Architecture Combines GSS and Attention for Efficient Long-Context Language Modeling NVMOS: Novel AI Model Predicts Perceptual Quality of Non-Verbal Vocalizations in Speech CoffeeBench: New Benchmark Evaluates LLM Agents in Multi-Agent Economic Simulations Proximal Policy Optimization Achieves Faster Convergence in Discrete Sampling Research PolyKV: Layer-Wise KV Cache Compression Boosts LLM Inference Efficiency by Up to 54.5% Kairos Stack Promises Native World Models for Physical AI Across Heterogeneous Experience ‘Pretty Crazy’ Token Usage Tests Enterprise AI Bets as Companies Balance Costs and Gains New Algorithm for Multi-Turn AI Agents Reduces Compounding Errors in Knowledge Distillation EC-Script: New LLM Agent Framework Offers Controllable Emotional Trajectories for Narrative Generation LLM-Powered Virtual Population Model Simulates Demand for Smarter Pricing Decisions

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routing

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ChatPlanner: LLM Framework Personalizes Public Transit Routing with Fine-Tuning and RAG

Artificial Intelligence #large language models#llms

ChatPlanner: LLM Framework Personalizes Public Transit Routing with Fine-Tuning and RAG

Researchers present ChatPlanner, a novel framework that leverages fine-tuned Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to capture diverse user preferences for public transit routing. The system extracts routing parameters from natural language queries, integrates preferences into the routing algorithm, and generates feasible, personalized alternatives. Three experiments show that the combined fine-tuning and RAG approach achieves highest accuracy and uncovers valuable solutions overlooked by existing route planners.

Jun 16, 2026 1 source

New Attack Forces Costly Model Usage in Multimodal LLM Cascades

Artificial Intelligence #ai#llm

New Attack Forces Costly Model Usage in Multimodal LLM Cascades

A research paper introduces the Forced Deferral Attack (FDA), which manipulates confidence thresholds in multimodal large language model cascades, causing queries to be routed to more expensive strong models. The attack raises security concerns for enterprises deploying cost-optimized AI systems.

Jun 16, 2026 1 source