arXiv:2609.08729v1 Announce Type: new Abstract: The transition from single-core to multi-core architectures in safety-critical embedded systems introduces…
Category: AI
AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems
arXiv:2609.08572v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems (MAS) achieve strong performance by employing…
Personalizing LLM Agent Memory Using Biometrics
arXiv:2609.08558v1 Announce Type: new Abstract: Personalized memory helps LLM agents deliver stable, tailored assistance by storing and reusing…
BIO-MEMART: Biometric-Aware KV Cache Memory for Multi-User LLM Agents
arXiv:2609.08566v1 Announce Type: new Abstract: KV cache is evolving from a serving optimization into an external memory substrate for long-term LLM…
Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0
TwelveLabs Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, bringing fully managed natural language…
A Three-Tier Persona Vector for Controllable User Simulation in Agentic Evaluation
arXiv:2609.08592v1 Announce Type: new Abstract: Evaluating tool-augmented LLM agents requires diverse, realistic user inputs yet most evaluation…
OpenAI Launches the Agents API in Public Beta, Putting the Codex Harness Behind One API Call
OpenAI has released the Agents API in public beta. It gives developers the same harness and infrastructure that run Codex. OpenAI hosts and maintains the…
Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluation
arXiv:2609.08599v1 Announce Type: new Abstract: Large Language Model (LLM) agents are evolving from single-session tools toward long-term personal…
LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation
arXiv:2609.08288v1 Announce Type: new Abstract: Travel survey data are essential for transportation planning and travel behavior analysis, yet collecting…
FastE: Readout-Triggered Token Compression for LLM Embedding Inference
arXiv:2609.08407v1 Announce Type: new Abstract: In this study, we identify depth-dependent prefix redundancy in final-readout LLM embedding models,…