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NatureBench evaluates coding agents on research
Published on June 24, 2026, the post describes a benchmark with 90 tasks based on articles from the Nature family. The best agent exceeded the published reference result on 17.8% of tasks.
NOVA applies verified agents to recommendation systems
A description published on June 26, 2026 presents an agent harness for evolving recommendation architectures under domain, interface, resource, and serving constraints.
Agent orchestration can reduce costs and latency
Published on July 13, 2026, the paper reports lower costs and latency with equivalent quality across 22 tasks and six models after changing orchestration.
PACE predicts agent performance with few tasks
A July 6, 2026 post presents a method to estimate agent results from a small task set at lower cost than a full evaluation.
ReContext: improving evidence use in long contexts
Published on July 6, 2026, the ReContext paper reports improved evidence use across eight 128K datasets, with three model backbones and no training.
Red Queen Gödel Machine coevolves agents and evaluators
A paper published June 29, 2026 describes a method that evolves agents and evaluators, keeping evaluators fixed per epoch and replacing them only after better performance on reserved ground truth.
Rejection sampling for on-policy LLM alignment
A paper published on July 7, 2026 proposes using rejection sampling to treat accepted off-policy tokens as on-policy and address the variance of accumulated per-token importance sampling ratios.
Elastic sandboxes for training and evaluating agents
Published on September 23, 2026, the article describes stateful, elastic execution environments for large-scale agent training and evaluation, as well as defenses against agents exploiting training environments.
Three autonomy levels for agentic recommendations
A survey published on July 7, 2026 proposes a taxonomy of recommendation systems using LLM-based agents, organized by level of autonomy.
VeriHarness verifies agents on long-horizon tasks
A paper published on October 4, 2026 presents a method for checking agent claims against workspace evidence, without reference answers or evaluation rubrics during testing.
WikiSkill: persistent knowledge for agent skills
Published on August 28, 2026, the WikiSkill description separates execution traces, a persistent knowledge wiki, and executable skills to reuse experience across iterations.
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