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๐Ÿค– AI Agent11 items

Latest AI agent research papers, analysis, and improvement insights

semantic_scholarresearch

ElasticBack: Stealthy Conditional Backdoor in LLM-Agent Skills via Coupled Trigger-Rule Optimization

LLM ์—์ด์ „ํŠธ ์Šคํ‚ฌ ์ค‘๋…์„ ํ†ตํ•œ ์กฐ๊ฑด๋ถ€ ๋ฐฑ๋„์–ด ๊ณต๊ฒฉ

semantic_scholarresearch

Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

LLM ์—์ด์ „ํŠธ ๊ธฐ๋ฐ˜ ๋Œ€๊ทœ๋ชจ ๋„์‹œ ์—ญํ•™ ์‹œ๋ฎฌ๋ ˆ์ด์…˜

semantic_scholarresearch

ZhuLong: Execution-Grounded LLM Agent for EDA Scripting with Offline API Self-Exploration

EDA ๋„๊ตฌ API ์ž๋™ ํƒ์ƒ‰ ๋ฐ ์Šคํฌ๋ฆฝํŠธ ์ƒ์„ฑ

semantic_scholarresearch

REDAgentBench: Executable Red Teaming and Faithful Measurement of LLM Agent Systems

LLM ์—์ด์ „ํŠธ ์•ˆ์ „์„ฑ ํ‰๊ฐ€ ๋ฐ ์ธก์ • ํ”„๋ ˆ์ž„์›Œํฌ

semantic_scholarresearch

Compositional Threat Analysis of Latent Compromise in LLM Agent Systems: The Order 66 Scenario

LLM ์—์ด์ „ํŠธ์˜ ๋‹ค์ธต ๋ณด์•ˆ ์œ„ํ˜‘ ๋ถ„์„ ๋ฐ ๋ฐฉ์–ด

semantic_scholarresearch

Parallelizing LLM Agent Execution with Contrastive Task Allocation

LLM ์—์ด์ „ํŠธ ์›Œํฌํ”Œ๋กœ์šฐ์˜ ๋ณ‘๋ ฌ ์‹คํ–‰ ํ”„๋ ˆ์ž„์›Œํฌ

semantic_scholarresearch

From Runnable to Verifiable: An Independent Reproducibility Study of LLM/Agent-Driven Vulnerability Validation Artifacts

LLM/์—์ด์ „ํŠธ ๊ธฐ๋ฐ˜ ๋ณด์•ˆ ์—ฐ๊ตฌ ์•„ํ‹ฐํŒฉํŠธ ์žฌํ˜„์„ฑ ๊ฐ์‹œ

semantic_scholarresearch

Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control

LLM ์—์ด์ „ํŠธ ์ œ์–ด ๊ฒฝ๋กœ์˜ GPU ์ตœ์ ํ™” ๋ฐ ์„ฑ๋Šฅ

semantic_scholarresearch

A YANG-Grounded LLM Agent Supporting Multi-Vendor OpenROADM Optical Transport Networks

๋„คํŠธ์›Œํฌ ์„ค์ • ์ž๋™ํ™”๋ฅผ ์œ„ํ•œ LLM ์—์ด์ „ํŠธ

semantic_scholarresearch

Text2Onto-Agent: An LLM Agent-Based End-to-End Automated Ontology Construction Method anda Case Study of Green Building Domain Modeling

LLM ์—์ด์ „ํŠธ๋ฅผ ํ™œ์šฉํ•œ ์ž๋™ํ™”๋œ ์˜จํ†จ๋กœ์ง€ ๊ตฌ์ถ•

hackernewsresearch

HashAgent โ€“ Share an AI agent as a URL, runs locally via WebGPU

WebGPU ๊ธฐ๋ฐ˜ ๋กœ์ปฌ AI ์—์ด์ „ํŠธ ์‹คํ–‰ ๋ฐ ๊ณต์œ