LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting
cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Code: https://github.com/boschresearch/Pap2Pat
Terminology
Sources
- An automatic patent literature retrieval system based on LLM-RAG
- PATENTWRITER: A Benchmarking Study for Patent Drafting with LLMs
- PatentGPT: A Large Language Model for Intellectual Property
- PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims
- AutoPatent: A Multi-Agent Framework for Automatic Patent Generation
- Longformer: The Long-Document Transformer
- Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
- Kimi K2: Open Agentic Intelligence
- Qwen3 Technical Report
- DeepSeek-V3 Technical Report
- GPT-4 Technical Report
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- StyloMetrix: An Open-Source Multilingual Tool for Representing Stylometric Vectors
- IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models
- LongLaMP: A Benchmark for Personalized Long-form Text Generation
- Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
- CLIPPER: Compression enables long-context synthetic data generation
- VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action Policies
- Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification
- Qwen2 Technical Report
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