OpenForgeRL框架让AI智能体在任何环境中都能进行原生强化学习训练，打破现有推理工具的局限。
arXiv:2607.21557v1 Announce Type: new Abstract: Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to dri…
多模态大模型提取图表数据常不可靠？CHI'26论文推出专用基准与训练框架，显著提升提取准确性。
arXiv:2606.29808v1 Announce Type: cross Abstract: Chart data extraction, which reverse-engineers data tables from chart images, is essential for repro…
可扩展的强化学习训练框架LiteResearcher问世，专为深度研究智能体打造，效率与性能双提升。
arXiv:2604.17931v3 Announce Type: replace Abstract: Reinforcement Learning (RL) has emerged as a powerful training paradigm for LLM-based agents. Howe…
用纯CUDA从头实现LLM强化学习训练，极致的性能与底层控制探索。
Article URL: https://github.com/KJLdefeated/RL.cu Comments URL: https://news.ycombinator.com/item?id=48431886 Points: 1 # Comments: 0
提出无训练混合智能体框架，融合LLM与知识图谱，显著提升多文档摘要效率与质量。
arXiv:2606.03867v1 Announce Type: cross Abstract: Multi-Document Summarization (MDS) plays a critical role in distilling essential information from co…
破解多奖励强化学习中的模型崩溃难题，提出RLIF训练新框架实现稳定收敛。
arXiv:2605.22620v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has substantially improved the reasoning abili…
百度开源高性能训练框架LoongForge，最高5倍提速，支持LLM/VLM/VLA，已服务企业生产。
Article URL: https://github.com/baidu-baige/LoongForge Comments URL: https://news.ycombinator.com/item?id=48221214 Points: 8 # Comments: 2
场景文本编辑新框架TextSculptor，训练与基准测试双突破，AI文字处理再升级。
arXiv:2605.21090v1 Announce Type: new Abstract: Recent advances in Multimodal Large Language Models (MLLMs) and diffusion-based generative models have…