…Empirically, we demonstrate that our approach achieves consistent improvements across a range of challenging text-based and GUI-based agent benchmarks. Code is available at https://github.com/HansenHua/EAPO-ICML26 and…
…and diverse multimodal benchmarks, improving average accuracy by +4.4 and +6.0 points over the SFT-to-RLVR baseline on 4B and 8B, respectively. Our code, data, and model checkpoints are…
…Despite the strong performance gains, coding agent based methods have high latency costs. While AgentRunbook-C advances the accuracy-latency Pareto frontier, substantial room for improvement remains. Together, these results establish LME…
…View arXiv page View PDF Add to collection Community EverAnimate code, 480p LoRA checkpoints, minimal demo data, and training/inference scripts are now released: https://huggingface.co/epfl-vita/everanimate Resources: Code…
…A^2RD formulates long video synthesis as a closed-loop process that synthesizes and self-improves video segment-by-segment through a Retrieve--Synthesize--Refine--Update cycle. It comprises three core components…
…Experiments show that leveraging coordination-path diversity improves performance over fixed coordination strategies while providing interpretable intermediate behaviors. The code is available at:https://github.com/AIFrontierLab/TorchUMM/tree/main/src/umm…
…Experiments across multiple model scales and architectures show that SEIF consistently improves instruction-following performance, suggesting strong generality. Further analyses reveal the sources of improvement and identify an effective training strategy for…
…complicated agent framework really improve performance over a simpler approach" doesn't have an immediately obvious answer to me. I took the liberty of converting your javascript code into python and implementing…
…Nemotron 3 Nano Omni delivers consistent accuracy improvements over its predecessor, Nemotron Nano V2 VL, across all modalities, enabled by advances in architecture, training data and recipes. In particular, Nemotron 3 delivers…
…FlashEvolve further improves throughput and token efficiency with speculative stage completion and adaptive workflow control . On GEPA workloads, FlashEvolve improves proposal throughput by 3.5times on local vLLM and 4.9times on…