…benchmark for optimizing scientific computing kernels on Apple Silicon is paired with an automated search framework that uses a large language model in a evolutionary loop to optimize performance while identifying hidden…
…Loop optimizes a worker agent 's harness H for a single task: a Worker Agent W_{H} executes the task, an Evaluator Agent V adversarially diagnoses failures and scores performance, and an…
…optimizing full ODE sampling trajectories through flow-map transition learning and backward simulation techniques. AI-generated summary Few-step video generation has been significantly advanced by consistency distillation . However, the performance of…
…strategies that improve sample efficiency and performance across interactive environments. AI-generated summary Large language models (LLMs) are increasingly used as interactive agents, but optimizing them for long-horizon decision making remains…
…Caijun Xu , , , Abstract DenoiseRL is a reinforcement learning framework that enhances reasoning in large language models by learning from incorrect traces through failure-oriented optimization, improving scalability and reducing dependence on external…
…preference data and iteratively refines the model via Direct Preference Optimization . Extensive experiments demonstrate that OSCAR achieves state-of-the-art performance on hallucination benchmarks while improving general multimodal capabilities. View arXiv…
…and improved performance. AI-generated summary Multi-agent systems (MAS) have emerged as a promising paradigm for solving complex tasks. Recent work has explored self-evolving MAS that automatically optimize agent capabilities…
…Xin Zhou , , , , , , Abstract HERMES++ combines 3D scene understanding and future geometry prediction through BEV representation, LLM-enhanced queries, temporal linking, and joint geometric optimization for autonomous driving applications. AI-generated summary Driving…
…Yao Du , , Abstract A distribution-aware reinforcement learning framework improves multimodal large language models' numerical regression performance on long-tailed distributions through batch-level comparison-based supervision. AI-generated summary Multimodal large…
…This coupling takes place in initialization, optimization and factor graph connections to improve the consistency of the map from multiple modalities. The optimization is wrapped within adaptive robust kernels , designed to handle…