Alternatives and similar repositories for Graph-R1:

Users that are interested in Graph-R1 are comparing it to the libraries listed below

• LHRLAB / KBQA-o1
  KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
  ☆18Updated 2 weeks ago
• dongguanting / DPA-RAG
  The code and data of DPA-RAG
  ☆58Updated 2 months ago
• LaVi-Lab / LongContextReasoner
  [ACL 2024] Making Long-Context Language Models Better Multi-Hop Reasoners
  ☆16Updated 10 months ago
• rookie-joe / AutoPSV
  ☆44Updated 5 months ago
• LightChen233 / reasoning-boundary
  ☆54Updated 5 months ago
• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated 3 months ago
• chenmeiqii / Teach-LLM-LR
  ☆29Updated 7 months ago
• ruleGreen / AppBench
  This is for EMNLP 2024 Paper: AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
  ☆11Updated 5 months ago
• ignorejjj / MetaRAG
  Code for the paper: Metacognitive Retrieval-Augmented Large Language Models
  ☆28Updated last year
• iQua / llmpebase
  This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).
  ☆15Updated 2 months ago
• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆112Updated 6 months ago
• OpenMatch / RAG-DDR
  [ICLR 2025] This is the code repo for our ICLR’25 paper "RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rew…
  ☆33Updated 2 months ago
• xhan77 / context-aware-decoding
  ☆41Updated 4 months ago
• HITsz-TMG / SKURG
  ☆17Updated last year
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆35Updated 7 months ago
• YiCheng98 / IntegrativeDecoding
  Official Implementation for the paper "Integrative Decoding: Improving Factuality via Implicit Self-consistency"
  ☆23Updated 2 weeks ago
• reml-group / DoG
  ☆16Updated this week
• MingyuJ666 / The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models
  [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…
  ☆45Updated last month
• amazon-science / ContextualUnderstanding-ContrastiveDecoding
  Enhancing contextual understanding in large language models through contrastive decoding
  ☆17Updated 11 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆37Updated last year
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆110Updated 3 weeks ago
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆81Updated 2 months ago
• OpenMatch / MARVEL
  [ACL 2024] This is the code repo for our ACL‘24 paper "MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module …
  ☆36Updated 9 months ago
• LHRLAB / HyperGraphRAG
  HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation
  ☆22Updated 2 weeks ago
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆67Updated last year
• OpenKG-ORG / EasyDetect
  An Easy-to-use Hallucination Detection Framework for LLMs.
  ☆58Updated 11 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆57Updated 5 months ago
• THUNLP-MT / SKR
  Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)
  ☆26Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• Reason-Wang / NAT
  The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…
  ☆25Updated last year