…An Agentic Benchmark for Novel API Acquisition (2026) SWE-Explore: Benchmarking How Coding Agents Explore Repositories (2026) Context-as-AI-Service: Surfacing Cross-File Dependency Chains for LLM-Generated Developer Documentation (2026…
…Agents-A1 achieves strong and broad performance for long-horizon agent benchmarks. Compared with 1T-parameter model such as Kimi-K2.6 and DeepSeek-V4-pro, Agents-A1 achieves leading results on…
…A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation (2026) Beyond Rating: A Comprehensive Evaluation and Benchmark for AI Reviews (2026) NoveltyAgent: Autonomous Novelty Reporting Agent…
…that enhances LLM-based agent skill evolution through four core modules for task generation, optimization, execution, and evaluation, validated on a benchmark of 48 diverse skills. AI-generated summary We introduce Skills…
…A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents (2026) NARRA-Gym for Evaluating Interactive Narrative Agents (2026) ProactBench: Beyond What The User Asked For (2026) SocialMemBench: Are AI…
…AI-generated summary Large language model (LLM) agents face a structural tension: cloud agents provide strong reasoning but expose user data, while on-device agents preserve privacy at the cost of overall…
…WebEye, a benchmark for object localization requiring external knowledge resolution, and Pixel-Searcher, an agent-based approach that connects hidden target identities to visual annotations through search and reasoning. AI-generated summary…
…Abstract Agentic Data Tailoring paradigm uses learnable data processing to structure high-entropy multimodal streams, with DataClaw_0-9B model achieving robust alignment through SFT and GRPO on a novel benchmark. Generated…
…frameworks and benchmarks were created using data from game jam competitions to evaluate code generation and project-level programming capabilities. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Current AI-driven game…
…We address these demands with a closed agent loop in which a VLM orchestrates heterogeneous robot capabilities as interruptible tools . Unlike in virtual AI agents, the timing of decisions, actions and tool…
