AI RESEARCH
LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks
arXiv CS.AI
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ArXi:2604.13072v1 Announce Type: cross LLM-based agents are increasingly expected to handle real-world assistant tasks, yet existing benchmarks typically evaluate them under isolated sources of difficulty, such as a single environment or fully specified instructions. This leaves a substantial gap between current evaluation settings and the compositional challenges that arise in practical deployment. To address this gap, we