…Recent agentic-memory systems pursue the consolidated form: an LLM rewrites past trajectories into a textual memory bank that it continuously updates with new interactions, promising self-improving agents without parameter updates…
…Compared with agent-driven wiki-walk memory, it reduces latency by 82.95 percent, token cost by 82.29 percent, and stale-knowledge usage by 96.58 percent, while improving quality by…
…Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization (2026) Think Through Uncertainty: Improving Long-Form Generation Factuality via Reasoning Calibration (2026) Evaluating Temporal Consistency in Multi-Turn Language Models (2026…
…Through a closed-loop run--verify--reflect process , the framework jointly improves decomposition and execution over time via persistent, human-readable external memory , with self-evolving updates to each single-agent. During…
…Minbeom Kim , , , , , , , , Abstract LiSA enables adaptive safety guardrails for AI agents by converting occasional failures into reusable policy abstractions and using evidence-aware confidence gating to improve performance under sparse and noisy…
…specific profiles significantly improving performance. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Personalization is a crucial capability of modern language agents . However, current research primarily positions personalized agents as passive responders…
…Software engineering agents are evaluated using a process-level framework that reveals differences between effective and ineffective approaches, identifying patterns like lucky passes and providing quality scoring for improved assessment. AI-generated…
…Continual learning expects an agent to accumulate reusable experience across a stream of tasks, improve over time, and avoid interference from irrelevant experiences. Unfortunately, existing benchmarks struggle to evaluate continual learning in…
…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…