agent-evaluation
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Power Grid Agents Need Constraint Tests, Not Chat Scores
A June 2026 power-systems benchmark argues that language-model agents can solve grid-engineering tasks, but the useful signal is narrower: the agent must...
Tool Agents Need State Diffs, Not API Call Scores
Tool-use agents are moving from choosing the right API to changing live product state. That makes a clean function-call score too small a test because...
Multilingual Agents Need Workflow Tests, Not Translation Scores
PolyWorkBench landed on arXiv on 7 July 2026 with a useful correction to enterprise-agent hype: a global workflow is not a translated English task...
Agent Benchmarks Need Runtime Receipts, Not Model Labels
RuBench's revised 19 July 2026 release contains a small but important warning for coding-agent buyers: one audited product configuration silently...
Assistant Agents Need Reminder Tests, Not Recall Scores
Most agent-memory benchmarks ask whether a model can recover old information. PM-Bench asks a harsher question: can an agent remember to do the right...
Computer-Use Agents Fail Long Workflows, Not Mouse Clicks
Computer-use agents are clearing more short benchmark tasks, but the new failure line is workflow length. A June 2026 benchmark called OSWorld 2.0 tests...