… The following papers were recommended by the Semantic Scholar API DataClaw: A Process-Oriented Agent Benchmark for Exploratory Real-World Data Analysis 2026 World Reasoning Arena 2026 FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards 2026 P… …
Papers arxiv:2605.02240 PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments Published on May 4 Submitted by Ruoqi Liu on May 5 Stanford University Authors: , , , , , , , , , , , , Abstract PhysicianBench evaluates LLM agents on real clinical tasks requiring complex, multi-step work… …
Papers arxiv:2605.10912 WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation Published on May 11 Submitted by Shuangrui Ding on May 15 Intern Large Models Authors: , Xuanlang Dai , , , , Yang JingYi , , , , , , , , , , , Yuhang Zang Abstract WildClawBench evaluates language and … …
… Unpacking Multimodal Error Analysis in Handwritten Math 2026 CC-OCR V2: Benchmarking Large Multimodal Models for Literacy in Real-world Document Processing 2026 EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content 2026 Unveiling Fine-Grained Visual Traces: Evaluati… …
I built an independent benchmark with 20 real CVEs across 15 CWE categories, 5 models (3 OpenAI, 2 Poolside Laguna), three prompt conditions: full advisory, behavioral description only, and location only (file and functi…
Current LLM benchmarks are broken. We think long horizon "world" building could be an interesting additional way to evaluate LLMs, since it combines many aspects such as need for advanced reasoning, tool calling, working…
Most of the document parsers fail on real world challenges like complex tables, handwritten documents, historical document scans, equations, multi-column layouts, complex reading order, etc. We built Unsiloed Parser to h…
Game Information Game Title: LEGO Batman: Legacy of the Dark Knight Platforms: Nintendo Switch 2 (May 22, 2026) PlayStation 5 (May 22, 2026) Xbox Series X/S (May 22, 2026) PC (May 22, 2026) Trailer: Developer: Review Agg…
Hi Reddit, We just wrapped up The Android Show | I/O Edition, and a core theme of the show was how we’re making your phone more helpful so that you can spend less time looking at it and more time living your life. To mak…
… An Evaluation of Its Performance on Image Restoration Tasks 2026 RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models 2026 DiffCap-Bench: A Comprehensive, Challenging, Robust Benchmark for Image Difference Captioning 2026 RefReward-SR: LR-Conditione… …
… The following papers were recommended by the Semantic Scholar API Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents 2026 ClawEnvKit: Automatic Environment Generation for Claw-Like Agents 2026 One-Eval: An Agentic System for Automated and Traceable LLM Evaluation 2026 GTA-2: Benchmarking… …
… In parallel, reward models have become increasingly important for RL-based image editing optimization, yet existing reward model benchmarks still rely on unrealistic evaluation settings that deviate from practical RL scenarios. …
Agentic AI / Generative AI Mastering Agentic Techniques: AI Agent Evaluation May 19, 2026 By Edward Li , Vanessa Bellotti , Nicola Sessions and Rebecca Kao Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike Evaluating AI models focuses on assessing the foundation model's capabilities u… …
… The following papers were recommended by the Semantic Scholar API OSExpert: Computer-Use Agents Learning Professional Skills via Exploration 2026 EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings 2026 OccuBench: Evaluating AI Agents on… …
… Furthermore, we create a dataset of 600 tasks modeled after real-world rescue cases and propose a robust set of evaluation metrics. …
