Papers arxiv:2605.11378 An Empirical Study of Automating Agent Evaluation Published on May 12 Submitted by Sangmin Woo on May 14 Amazon Authors: , , , , , , , , , , , , , , , , Abstract Automated agent evaluation using AI assistants requires specialized domain knowledge and procedural skills to ach… …
… Together, the camroll dataset and camroll-agent highlight the gap in AI agents' long-context reasoning: personalized visual memory requires different approaches from standard long-context textual memory, especially when consistency, visual details, and user-specific context are present. …
Papers arxiv:2606.08857 PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf Published on Jun 7 Submitted by Jiarui Liu on Jun 10 Jinesis Authors: Jiarui Liu , , , , , , , , , , , , , , , , , , , Abstract A human-centered writing assistant system called PaperMe… …
… The following papers were recommended by the Semantic Scholar API Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents 2026 Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms 2026 AgentStop: Terminating Local AI Agents Early to Save … …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Agents are widely deployed as assistants over documents, tools, and code. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct AI glasses present a compelling platform for AI agents to serve as personalized memory assistants . …
… Orchard-Claw targets personal assistant agents. Trained with only 0.2K synthetic tasks, it achieves 59.6% pass@3 on Claw-Eval and 73.9% when paired with a stronger ZeroClaw harness . …
… Abaqus Agent is composed of six agents, including interpreter, architect, input writer, runner, reviewer, and visualizer agents, encompassing all the essential pre-processing and post-processing steps of standard FEA analyses. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Effective real-world assistance requires AI agents with robust Theory of Mind ToM : inferring human mental states from their behavior. …
… View arXiv page View PDF Add to collection Community AI agents will increasingly need to interact with unfamiliar AI counterparts in settings like negotiation and bargaining. In this paper, we ask: can we predict the next decision of a black-box AI agent after seeing only a few prior interactions? …