diff --git a/README.md b/README.md index de9c43af49..fecaea4ac5 100644 --- a/README.md +++ b/README.md @@ -32,13 +32,13 @@ Trinity-RFT provides functionalities for users with different backgrounds and ob ## 🚀 News +* [2026-02] [[Release Notes]](https://github.com/agentscope-ai/Trinity-RFT/releases/tag/v0.5.1) Trinity-RFT v0.5.1 released: Enhanced VLM support, logging improvements, bug fixes. * [2026-02] [[Release Notes]](https://github.com/agentscope-ai/Trinity-RFT/releases/tag/v0.5.0) Trinity-RFT v0.5.0 released: colocate mode for single-GPU scenarios, trainer driven weight synchronization, automatic parallelism setting suggestion, and more. * [2026-01] 🎉 Three papers accepted by ICLR 2026: [CHORD](https://github.com/agentscope-ai/Trinity-RFT/tree/main/examples/mix_chord), [BOTS](https://github.com/agentscope-ai/Trinity-RFT/tree/main/examples/bots), and [Group-relative REINFORCE variants](https://github.com/agentscope-ai/Trinity-RFT/tree/main/examples/rec_gsm8k). Try out these new algorithms in Trinity-RFT! * [2026-01] [[Release Notes]](https://github.com/agentscope-ai/Trinity-RFT/releases/tag/v0.4.1) Trinity-RFT v0.4.1 released: upgraded verl to v0.7.0, Tinker backend supports OpenAI API, bug fixes. * [2026-01] Introducing [R3L](https://github.com/shiweijiezero/R3L): a systematic reflect-then-retry RL mechanism with efficient language-guided exploration and stable off-policy learning ([paper](https://arxiv.org/abs/2601.03715)). * [2025-12] [[Release Notes]](https://github.com/agentscope-ai/Trinity-RFT/releases/tag/v0.4.0) Trinity-RFT v0.4.0 released: added [Tinker](https://thinkingmachines.ai/tinker/) backend for users **without GPUs**, add more benchmarks, enhance online RL and more. * [2025-12] Trinity-RFT powers the medical and health business of "Taobao Shangou", enabling the AI agent to understand vague symptoms, proactively ask follow-up questions, and provide precise recommendations ([News](https://tech.china.com.cn/sx/20251201/411376.shtml)). -* [2025-11] [[Release Notes](https://github.com/agentscope-ai/Trinity-RFT/releases/tag/v0.3.3)] Trinity-RFT v0.3.3 released: bug fixes. * [2025-11] Introducing [Learn-to-Ask](https://github.com/agentscope-ai/Trinity-RFT/tree/main/examples/learn_to_ask): a framework for training proactive dialogue agents from offline expert data ([paper](https://arxiv.org/pdf/2510.25441)). * [2025-11] Introducing [BOTS](https://github.com/agentscope-ai/Trinity-RFT/tree/main/examples/bots): online RL task selection for efficient LLM fine-tuning ([paper](https://arxiv.org/pdf/2510.26374)). * [2025-09] [Our paper](https://arxiv.org/pdf/2509.24203) reveals a novel off-policy interpretation for group-relative REINFORCE and its variants like GRPO and AsymRE ([implementation](https://github.com/agentscope-ai/Trinity-RFT/tree/main/examples/rec_gsm8k)). @@ -46,6 +46,7 @@ Trinity-RFT provides functionalities for users with different backgrounds and ob
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