From 5ff5c5d3ebbaa1cde25163581deca7e7a3778b6d Mon Sep 17 00:00:00 2001 From: DarkLight <74350191+Bmithbs@users.noreply.github.com> Date: Wed, 4 Mar 2026 21:49:30 +0800 Subject: [PATCH 1/2] add InfoReasoner --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 86259e3ab..9be0827d5 100644 --- a/README.md +++ b/README.md @@ -249,6 +249,7 @@ We sincerely appreciate the efforts of these teams for their contributions to op - [Tree-GRPO](https://arxiv.org/abs/2509.21240): Tree Search for LLM Agent Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/AMAP-ML/Tree-GRPO)](https://github.com/AMAP-ML/Tree-GRPO) - [EviNote-RAG](https://arxiv.org/abs/2509.00877): Enhancing RAG Models via Answer-Supportive Evidence Notes. [![[code]](https://img.shields.io/github/stars/Da1yuqin/EviNoteRAG)](https://github.com/Da1yuqin/EviNoteRAG) - [GlobalRAG](https://arxiv.org/pdf/2510.20548v1): GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/CarnegieBin/GlobalRAG)](https://github.com/CarnegieBin/GlobalRAG) +- [InfoReasoner](https://arxiv.org/abs/2602.00845): Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward. [![[code]](https://img.shields.io/github/stars/CarnegieBin/GlobalRAG)](https://github.com/dl-m9/InfoReasoner) From b14b5e2940ceb115eafd8ad7a8bf9deac882faea Mon Sep 17 00:00:00 2001 From: DarkLight <74350191+Bmithbs@users.noreply.github.com> Date: Wed, 4 Mar 2026 21:52:47 +0800 Subject: [PATCH 2/2] add InfoReasoner --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9be0827d5..32336f19c 100644 --- a/README.md +++ b/README.md @@ -249,7 +249,7 @@ We sincerely appreciate the efforts of these teams for their contributions to op - [Tree-GRPO](https://arxiv.org/abs/2509.21240): Tree Search for LLM Agent Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/AMAP-ML/Tree-GRPO)](https://github.com/AMAP-ML/Tree-GRPO) - [EviNote-RAG](https://arxiv.org/abs/2509.00877): Enhancing RAG Models via Answer-Supportive Evidence Notes. [![[code]](https://img.shields.io/github/stars/Da1yuqin/EviNoteRAG)](https://github.com/Da1yuqin/EviNoteRAG) - [GlobalRAG](https://arxiv.org/pdf/2510.20548v1): GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/CarnegieBin/GlobalRAG)](https://github.com/CarnegieBin/GlobalRAG) -- [InfoReasoner](https://arxiv.org/abs/2602.00845): Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward. [![[code]](https://img.shields.io/github/stars/CarnegieBin/GlobalRAG)](https://github.com/dl-m9/InfoReasoner) +- [InfoReasoner](https://arxiv.org/abs/2602.00845): Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward. [![[code]](https://img.shields.io/github/stars/dl-m9/InfoReasoner)](https://github.com/dl-m9/InfoReasoner)