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Chunking
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Chunking, also known as shallow parsing, identifies continuous spans of tokens that form syntactic units such as noun phrases or verb phrases.
Example:
| Vinken | , | 61 | years | old |
|---|---|---|---|---|
| B-NLP | I-NP | I-NP | I-NP | I-NP |
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
CronusVLA: Transferring Latent Motion Across Time for Multi-Frame Prediction in Manipulation
Can LLMs Replace Humans During Code Chunking?
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
Real-Time Execution of Action Chunking Flow Policies
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models
LID Models are Actually Accent Classifiers: Implications and Solutions for LID on Accented Speech
Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning
Concept-Guided Interpretability via Neural Chunking
Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency
Recognizing Ornaments in Vocal Indian Art Music with Active Annotation
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking
Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
A Baseline for Self-state Identification and Classification in Mental Health Data: CLPsych 2025 Task
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents
Bi-LAT: Bilateral Control-Based Imitation Learning via Natural Language and Action Chunking with Transformers
Leveraging Embedding Techniques in Multimodal Machine Learning for Mental Illness Assessment
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization
Text Chunking for Document Classification for Urban System Management using Large Language Models
Niyama : Breaking the Silos of LLM Inference Serving
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
SLIDE: Sliding Localized Information for Document Extraction
Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.