… Existing detectors often reduce verification to binary found/not-found decisions and rely on brittle parsing or incomplete retrieval, offering little field-level signal to auditors. …
… On two open-ended coding benchmarks, training on our synthesized data yields substantial gains over the base models: Qwen3.5-9B improves by +8.82 score on FrontierCS and +306.36 Elo-rating-based performance on ALE-bench ; Qwen3.5-27B improves by +12.12 and +309.12, respectively. …
… Reliable typesetting optimization therefore requires a visual closed loop with verification after every edit. …
… Across GenEval, PRISM, WiseBench, and other benchmarks, CLVR consistently improves over strong open-source baselines and narrows the gap with proprietary systems like GPT-4o and Gemini. …
… Extensive experiments demonstrate that AlphaGRPO yields robust improvements across multimodal generation benchmarks, including GenEval , TIIF-Bench , DPG-Bench and WISE , while also achieving significant gains in editing tasks on GEdit without training on editing tasks. …
… Grading is hybrid, combining deterministic rule-based checks, environment-state auditing of side effects, and an LLM/VLM judge for semantic verification. …
… We will release our benchmarks and evaluation toolkit to support community research on genuinely world-aware video generation at this https URL . …
…Learning Policies by Repairing Executable Knowledge Bases (2026) An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning (2026) EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations (2026) AutoPyVerifier: Learning…
… SCOPE conditionally invokes retrieval, reasoning, and repair skills around unresolved or violated commitments, while verification maps failures back to the same operational units. …
… On several benchmarks, FEST outperforms baselines with magnitudes less SFT data, even matching their performance with full dataset. …