Channels - Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python Modernization :: FRELIP Discovery

Similar Items: Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python Modernization

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Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management
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MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
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OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing
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From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work
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LLM-enabled Social Agents
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A Language for Describing Agentic LLM Contexts
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Pythia: Toward Predictability-Driven Agent-Native LLM Serving
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Coordination as an Architectural Layer for LLM-Based Multi-Agent Systems
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LLM-Foraging: Large Language Models for Decentralized Swarm Robot Foraging
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AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimization
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The $textit{Silicon Society}$ Cookbook: Design Space of LLM-based Social Simulations
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Governed Collaborative Memory as Artificial Selection in LLM-Based Multi-Agent Systems
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Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
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The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents
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When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
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When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis
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SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications
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Collective Alignment in LLM Multi-Agent Systems: Disentangling Bias from Cooperation via Statistical Physics
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Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems
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HBEE: Human Behavioral Entropy Engine -- Pre-Registered Multi-Agent LLM Simulation of Peer-Suspicion-Based Detection Inversion
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Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital
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Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
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Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations