Can Next-Turn Metrics Test Workflows?
The paper *When Better Turns Do Not Make Better Agents* tests a quiet failure in agent evaluation: a model can improve at predicting the next local action...
Technical AI research, explained clearly for researchers, builders, and anyone trying to understand what actually matters.
The paper *When Better Turns Do Not Make Better Agents* tests a quiet failure in agent evaluation: a model can improve at predicting the next local action...
The *Beyond Agent Harnesses* paper names a production failure that ordinary workspace inspection misses: an agent can see the same files and memory while...
Hyper-Tau Bench changes the unit of evaluation from an agent using tools to a coding system building a deployable customer-service agent [Hyper-Tau...
SentinelBench turns waiting into an agent benchmark [SentinelBench](https://arxiv.org/abs/2606.05342). The Microsoft Research paper introduces 100...
Efficient Benchmarking of AI Agents asks a practical release question: can teams compare agent systems without rerunning every expensive interactive task...
Anthropic's September 2026 threat-intelligence report is useful because it shows Claude misuse moving from isolated prompt abuse towards operational...
SciAgentArena turns biomedical research assistance into an interactive agent benchmark, not a static science quiz...
PM-Bench turns prospective memory into an agent evaluation problem: can a system remember to act on a future cue while ordinary work continues? The...
FluxMoE, revised on 30 April 2026, treats mixture-of-experts serving as a memory-residency problem rather than only a routing or kernel problem...
Messier, revised on 30 August 2026, treats agent evaluation as a data-integration problem rather than another leaderboard race...
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