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Skills2026-08-07 · source-backed
BFCL v4 results show PTC matching or beating JSON tool calling on 11 of 14 models, with the GPT-5.6 family up 10.6% and better stability under context degradation and parallel execution. Most agent frameworks hard-code structured output as the default. On current models that default costs you accuracy.
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arXiv 2608.06370 evaluated models emitting code that calls tools against JSON-schema tool calling on BFCL v4. PTC matched or exceeded the baseline in 11 of 14 models, with the GPT-5.6 family up 10.6%, and held stable under parallel execution in 13 of 14. Under context degradat...
$3,054 against $38,370. Same benchmark, better score. Praxist (arXiv 2608.25955, submitted August 26) replaces per-attempt agent memory with a typed evidence graph of findings, plus lane-structured frontiers and agendas, so later attempts inherit validated mechanisms rather th...
Accuracy drops 30–50% well before you hit the documented context limit. Not at the limit. Before it. Cross-model testing across GPT-4.1, the Claude 4 family, Gemini 2.5, and Qwen3 quantified what everyone shipping long-context features has felt and couldn't measure (Glasp). Th...
This is the most directly usable paper of the day and it does something rare: it bolts onto an existing agent without touching it. Ledger is a deterministic runtime wrapper that distills an agent's completed interactions into explicit state. What has been observed, what has be...
Microsoft Research dropped a paper that should change how every builder thinks about their agent configuration files. SkillOpt (arXiv 2605.23904) treats a Markdown document as an external parameter of a frozen LLM and applies learning rate, batch, and momentum concepts in text...
arXiv 2608.05108 skips the RL-trained attacker models that dominate red teaming and generalize poorly, instead accumulating a strategy library across a sequence of (dataset, target) pairs that transfers to unseen targets with no retraining. AgentDojo: 86.7% ASR against Gemini-...
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