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An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response47m◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training47m◆Large language model and reinforcement learning based autonomous construction and progress updates47m◆Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models47m◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring47m◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution47m◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing47m◆Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 447m◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning47m◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System47m◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability47m◆SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents47m◆Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?47m◆Teaching AI Agent to Play Poker Strategically Through Preference Optimization47m◆M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement47m◆Physical AI: Concepts, Techniques, and Challenges47m◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems47m◆A general-purpose System One decision model for clinical records47m◆Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs47m◆PROVISO: Provenance-Informed Action Selection for Secure LLM Agents47m◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response47m◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training47m◆Large language model and reinforcement learning based autonomous construction and progress updates47m◆Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models47m◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring47m◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution47m◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing47m◆Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 447m◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning47m◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System47m◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability47m◆SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents47m◆Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?47m◆Teaching AI Agent to Play Poker Strategically Through Preference Optimization47m◆M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement47m◆Physical AI: Concepts, Techniques, and Challenges47m◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems47m◆A general-purpose System One decision model for clinical records47m◆Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs47m◆PROVISO: Provenance-Informed Action Selection for Secure LLM Agents47m◆
News/Final 24 hours to save up to $410 on your TechCrunch Disrupt 2026 ticket
techcrunch
PublishedMay 29, 2026 at 2:00 PM
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Final 24 hours to save up to $410 on your TechCrunch Disrupt 2026 ticket

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You now have until tonight at 11:59 p.m. PT to lock in Early Bird savings of up to $410 for TechCrunch Disrupt 2026 before prices increase. Join 10,000+ tech leaders in October for one of the most anticipated tech events of the year. Register now.

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