…In controlled experiments, user profile memory improves persona-alignment judgments on a multi-persona, multi-intent profile bank, tool-memory injection improves closed-loop modify behavior in diagnostic matched-pair settings, and…
…The following papers were recommended by the Semantic Scholar API AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations (2026) HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM…
…Despite the strong performance gains, coding agent based methods have high latency costs. While AgentRunbook-C advances the accuracy-latency Pareto frontier, substantial room for improvement remains. Together, these results establish LME…
…Rather than improving planner accuracy, Agent libOS demonstrates a runtime substrate in which long-running LLM agents can be scheduled, authorized, resumed, and audited without treating tool dispatch as the trust boundary…
…refines context-specific skills for language models through a multi-agent self-play loop with Challenger, Reasoner, and Judge components, improving context learning performance without human supervision. AI-generated summary Many real…
…Evidence Assembly for Scalable Deep Research Agents (2026) LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling (2026) Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward (2026) Towards On…
…AI-generated summary Asynchronous reinforcement learning improves rollout throughput for large language model agents by decoupling sample generation from policy optimization, but it also introduces a critical failure mode for PPO-style…
Papers arxiv:2606.03965 Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning Published on Jun 2 Submitted by Yu Xia on Jun 4 University of California at San Diego…
…Across long-horizon, partially observable embodied language environments, Agent-BRACE achieves an average absolute improvement of +14.5% (Qwen2.5-3B-Instruct) and +5.3% (Qwen3-4B-Instruct), outperforming strong RL baselines…
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