… 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… …
… 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. …
… 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. …
… The following papers were recommended by the Semantic Scholar API Voice of India: A Large-Scale Benchmark for Real-World Speech Recognition in India 2026 NVBench: A Benchmark for Speech Synthesis with Non-Verbal Vocalizations 2026 AnimeScore: A Preference-Based Dataset and Framework for Evaluating … …