…math reasoning benchmarks, POISE matches DAPO while requiring less compute. Moreover, its value estimator shows similar performance to a separate LLM-scale value model and generalizes to various verifiable tasks. By leveraging…
…through negative sample projection, maintaining diversity while outperforming existing methods on multiple benchmarks. AI-generated summary Reinforcement Learning with Verifiable Rewards (RLVR) enhances reasoning of Large Language Models (LLMs) but usually exhibits…
…We formalize this challenge as Perception Deep Research and introduce WebEye, an object-anchored benchmark with verifiable evidence , knowledge-intensive queries , precise box/mask annotations , and three task views: Search-based Grounding…
…Generate proposes candidate trajectories and topologies; Filter constructs intermediate signals via verifiers , judges , critics ; Control allocates compute and makes continuation/branching/stopping decisions under budgets; and Replay retains and reuses artifacts across…
…Its core Statement Verification Pipeline reconstructs each agent's ground-truth trajectory from engine logs and checks every discussion claim against it, automatically flagging spatial hallucination , unsupported accusation , deception collapse , and language…
…Existing embodied simulators rely on manually crafted scenes or procedural templates, while recent LLM-based 3D generation systems mainly produce static scenes rather than deployable environments with verifiable tasks and standard learning…
…ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints (2026) From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs (2026) Affordance Agent Harness: Verification-Gated Skill…
…Recent structured approaches have further advanced this paradigm by organizing inference across multiple trajectories, refinement rounds, and verification-based feedback. However, existing structured test-time scaling methods either weakly coordinate parallel reasoning…
…Before any pairwise comparison, ARR externalizes a VLM 's internalized preference knowledge as prompt-specific rubrics , translating holistic intent into independently verifiable quality dimensions. This conversion of implicit preference structure into inspectable…
…A Hierarchical Benchmark for Visual Website Development with Agent Verification (2026) WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing (2026) Test-Driven AI Agent Definition (TDAD): Compiling Tool…