Papers arxiv:2606.00138 A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics Problems Published on May 28 Submitted by Leo Y on Jun 3 Authors…
…Autonomous AI Agents in Real Executable Environments (2026) SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents (2026) SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces (2026) SABER: Benchmarking Operational…
…training advanced multimodal search agents using reinforcement learning, featuring specialized data curation, diverse tool environments, and a novel training algorithm that improves performance across multiple benchmarks. AI-generated summary Deep search has…
…Measuring Human--AI Tacit Understanding (2026) Behavioral Transfer in AI Agents: Evidence and Privacy Implications (2026) The Attribution Blind Spot: Detecting When Language Models Rely on Memory Rather Than Retrieved Context (2026…
…AI-generated summary We present Metal-Sci, a 10-task benchmark of scientific Apple Silicon Metal compute kernels spanning six optimization regimes (stencils, all-pairs in n-body problems, multi-field Boltzmann…
…A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages (2026) AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks (2026) HiMed: Incentivizing Hindi Reasoning in…
…The following papers were recommended by the Semantic Scholar API Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching…
…An Industry Consortium Benchmark for Financial Deep Research (2026) FORCE-Bench: A Benchmark, Dataset, and Evaluation Harness for Agentic AI in Enterprise Finance (2026) LakeQA: An Exploratory QA Benchmark over a Million…
…AI-generated summary LLM-based agents increasingly operate in persistent environments where they must store, update, and reason over information across many sessions. While prior benchmarks evaluate only single-entity updates, MEME…
…A Benchmark for Evaluating and Improving LLM-Based Environment Simulation (2026) SWE-TRACE: Optimizing Long-Horizon SWE Agents Through Rubric Process Reward Models and Heuristic Test-Time Scaling (2026) A2DEPT: Large Language…