LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data | Paper Citation Record

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This paper cites A systematic review of machine learning applications in infectious disease prediction, diagnosis, and outbreak forecasting,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data A systematic review of machine learning applications in infectious disease prediction, diagnosis, and outbreak forecasting,

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This paper cites Real-time idling vehicles detection using combined audio- visual deep learning,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Real-time idling vehicles detection using combined audio- visual deep learning,

Reference 2

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Joint audio-visual idling vehicle detection with streamlined input dependencies,

Reference 3

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Improving Text Embeddings with Large Language Models

Reference 4

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Is ChatGPT a Good NLG Evaluator? A Preliminary Study

Reference 5

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Audio and multiscale visual cues driven cross-modal transformer for idling vehicle detection,

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This paper cites Setransformer: A hybrid attention-based architecture for robust human activity recognition,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Setransformer: A hybrid attention-based architecture for robust human activity recognition,

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Evaluating supervised learning models for fraud detection: A comparative study of classical and deep architectures on imbalanced transaction data,

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Gated multimodal graph learning for personalized recommendation,

Reference 9

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Extraction/conversion of geometric di- mensions and tolerances for machining features,

Reference 10

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data A datum-based model for practicing geometric dimensioning and tolerancing,

Reference 11

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This paper cites Tolerance information extraction for mechanical engineering drawings: A digital image processing and deep learning-based model,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Tolerance information extraction for mechanical engineering drawings: A digital image processing and deep learning-based model,

Reference 12

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data You only look once: Unified, real-time object detection,

Reference 13

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data tesseract-ocr/tesseract,

Reference 14

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Leading image & video data annotation platform CV AT,

Reference 15

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data torchvision.transforms torchvision master documentation,

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Few could be better than all: Feature sampling and grouping for scene text detection,

Reference 17

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Spts v2: single-point scene text spotting,

Reference 18

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This paper cites Integration of deep learning for automatic recognition of 2D engineering drawings,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Integration of deep learning for automatic recognition of 2D engineering drawings,

Reference 19

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This paper cites Fine-tuning vision-language model for automated engineering drawing information extraction,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Fine-tuning vision-language model for automated engineering drawing information extraction,

Reference 20

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data AutoCAD mechanical 2022 help | about balloons (autocad mechanical toolset) | autodesk,

Reference 21

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Data management and SPC software,

Reference 22

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 23

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 24

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Optimal boxes: boosting end- to-end scene text recognition by adjusting annotated bounding boxes via reinforcement learning,

Reference 25

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Character recognition competition for street view shop signs,

Reference 26

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data GPT-4 Technical Report

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data The Llama 3 Herd of Models

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Introducing contextual retrieval,

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data From Local to Global: A Graph RAG Approach to Query-Focused Summarization

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Austen,Pride and Prejudice

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive Evaluation

Reference 34

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Medical graph rag: Towards safe medical large language model via graph retrieval-augmented generation,

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Ragas: Automated Evaluation of Retrieval Augmented Generation

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 37

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Hermes 3 Technical Report

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 39

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Enhancing Knowledge Graph Construction Using Large Language Models

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering

Reference 41

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Multi- modal in-context learning makes an ego-evolving scene text recognizer,

Reference 42

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Harmonizing Visual Text Comprehension and Generation

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Pargo: Bridging vision-language with partial and global views,

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Attentive eraser: Unleashing diffusion model’s object removal potential via self-attention redirection guidance,

Reference 46

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding

Reference 47

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Tabpedia: Towards comprehensive visual table understanding with concept synergy,

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data TextSquare: Scaling up Text-Centric Visual Instruction Tuning

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding

Reference 50

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Docpedia: Unleashing the power of large multimodal model in the frequency domain for versatile document understanding,

Reference 51

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Advancing Sequential Numerical Prediction in Autoregressive Models

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data LightRAG: Simple and Fast Retrieval-Augmented Generation

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This paper cites CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking

Reference 55

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Observation 51864c64-7d84-47ee-b7d8-29872cf72c76 · outbound

This paper cites Afrikaans, inc.: the afrikaans culture industry after apartheid,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Afrikaans, inc.: the afrikaans culture industry after apartheid,

Reference 56

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Observation 12ec8083-be59-47c5-96f5-408fe6331990 · outbound

This paper cites Llms for low resource languages in multilingual, multimodal and dialectal settings,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Llms for low resource languages in multilingual, multimodal and dialectal settings,

Reference 57

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Observation be5a4fe0-ef32-4782-8ed8-76ca7ac1d1a1 · outbound

This paper cites Self-Preference Bias in LLM-as-a-Judge.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Self-Preference Bias in LLM-as-a-Judge

Reference 58

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Observation 0a0e23cb-c337-4c60-a6b2-2f48626396d6 · outbound

This paper cites Enhancing thyroid disease prediction using machine learning: A comparative study of ensemble models and class balancing techniques,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Enhancing thyroid disease prediction using machine learning: A comparative study of ensemble models and class balancing techniques,

Reference 59

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Observation 0a87f090-ae57-40c2-b436-88df499bc5e8 · outbound

This paper cites Blind image quality assessment via vision-language correspondence: A multitask learning perspective,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Blind image quality assessment via vision-language correspondence: A multitask learning perspective,

Reference 60

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Observation d9d02ef9-b7bd-4654-a543-f96523f82639 · outbound

This paper cites You can even annotate text with voice: Transcription-only-supervised text spotting,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data You can even annotate text with voice: Transcription-only-supervised text spotting,

Reference 61

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This paper cites OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

Reference 62

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Observation 551b044c-893e-4f21-abcf-9b252941a2ce · outbound

This paper cites Paddleocr: A versatile ocr toolkit with 80+ languages recognition,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Paddleocr: A versatile ocr toolkit with 80+ languages recognition,

Reference 63

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Observation bed1ebcf-69f7-4e96-9e5a-9f763a375257 · outbound

This paper cites Seed1.5-VL Technical Report.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Seed1.5-VL Technical Report

Reference 64

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Observation f8ca4742-fa05-4dbf-8860-506dcf7bb9c1 · outbound

This paper cites Vision as LoRA.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Vision as LoRA

Reference 65

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This paper cites Cme-cad: Heterogeneous collaborative multi-expert reinforcement learning for cad code generation,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Cme-cad: Heterogeneous collaborative multi-expert reinforcement learning for cad code generation,

Reference 66

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Observation 9f344048-1785-457e-92d9-1fc2608ea381 · outbound

This paper cites Meml-grpo: Heterogeneous multi-expert mutual learning for rlvr advancement,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Meml-grpo: Heterogeneous multi-expert mutual learning for rlvr advancement,

Reference 67

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Observation 628b386f-c510-48e9-8a40-dca61fd3b53c · outbound

This paper cites Mindev: Multi-modal integrated diffusion framework for video reconstruction from eeg signals,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Mindev: Multi-modal integrated diffusion framework for video reconstruction from eeg signals,

Reference 68

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Observation 44e1235a-a7a0-4fdf-86ef-2ff897635d2d · outbound

This paper cites Resolving evidence spar- sity: Agentic context engineering for long-document understanding,.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Resolving evidence spar- sity: Agentic context engineering for long-document understanding,

Reference 69

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Observation b970c54c-739d-42e1-81f1-102616d7dbdc · outbound

This paper cites Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting

Reference 70

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This paper cites WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?

Reference 71

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Observation e74eeb16-d382-4be7-b166-523b26a33d99 · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 72

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This paper cites Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning

Reference 73

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Observation dafc88ea-0a71-45e6-aef4-00b2e12ea0f5 · outbound

This paper cites Jack and the beanstalk: Towards question answering in plant biology.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Jack and the beanstalk: Towards question answering in plant biology

Reference 74

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This paper cites Long-context LLMs Struggle with Long In-context Learning.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Long-context LLMs Struggle with Long In-context Learning

Reference 75

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This paper cites RAG based Question-Answering for Contextual Response Prediction System.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data RAG based Question-Answering for Contextual Response Prediction System

Reference 76

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Observation 504792b0-ecbe-4b1f-8f4c-599d9cc2f557 · outbound

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LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Fine-grained heartbeat waveform monitoring with rfid: A latent diffusion model,

Reference 77

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Observation 5d1ba0a0-cc09-4253-aaba-ab881fa4a59a · outbound

This paper cites Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation

Reference 2024

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