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πŸ€– AI Agent7 items

Latest AI agent research papers, analysis, and improvement insights

semantic_scholarresearch

Can your AI agent be cheaper? Investigating the effects of task specifications on token spend in agentic coding tasks

μž‘μ—… λͺ…μ„Έ 방식이 μ—μ΄μ „νŠΈμ˜ 토큰 μ‚¬μš©λŸ‰κ³Ό λΉ„μš©μ— λ―ΈμΉ˜λŠ” 영ν–₯ 뢄석

semantic_scholarresearch

Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?

μ‚¬μš©μž μ •μ˜ κΆŒν•œ 정책이 μ—μ΄μ „νŠΈμ˜ κ³Όλ„ν•œ μ‹œμŠ€ν…œ μ ‘κ·Ό μ œμ–΄μ— νš¨κ³Όμ μΈμ§€ 검증

semantic_scholarresearch

Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries

쑰직 κ°„ μ—μ΄μ „νŠΈ μƒν˜Έμž‘μš© μ‹œ λ°œμƒν•˜λŠ” μœ„ν—˜ μš”μ†Œμ™€ μ œμ–΄ ν”„λ ˆμž„μ›Œν¬

semantic_scholarresearch

Cost-Utility Alignment in LLM Agent Trajectories:Profiling,Attribution,Diagnosis,Adaptation,and Evaluation

μ—μ΄μ „νŠΈ μ‹€ν–‰ 경둜의 토큰, μ§€μ—°, λΉ„μš© λŒ€λΉ„ νš¨μš©μ„ μ’…ν•© ν‰κ°€ν•˜λŠ” ν”„λ ˆμž„μ›Œν¬

semantic_scholarresearch

Right-Sizing LLM-Agent Decomposition in VAT Determination: A Pilot Controlled Sweep

μ—μ΄μ „νŠΈ λΆ„ν•΄(닀쀑 쒁은 μ—μ΄μ „νŠΈ) vs 톡합(단일 κ°•λ ₯ μ—μ΄μ „νŠΈ) 섀계 μ„±λŠ₯ 비ꡐ

semantic_scholarresearch

Belief Cascades Drive Persuasion in LLM Agent Networks

LLM μ—μ΄μ „νŠΈ λ„€νŠΈμ›Œν¬μ—μ„œ μƒν˜Έ 섀득과 신념 μ „νŒŒ λ©”μ»€λ‹ˆμ¦˜ 뢄석

semantic_scholarresearch

Enhancing Group Recommendation with Memory-Augmented Reasoning in LLM Agent

λ©”λͺ¨λ¦¬ κΈ°λŠ₯κ³Ό 동적 μΆ”λ‘ μœΌλ‘œ κ·Έλ£Ή μ˜μ‚¬κ²°μ • 및 μΆ”μ²œ μ„±λŠ₯ 개μ„