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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.
From Dionysius Emerges Apollo -- Learning Patterns and Abstractions from Perceptual Sequences
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
The Pitfalls of Imitation Learning when Actions are Continuous
TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease
Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns
Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
TrustRAG: An Information Assistant with Retrieval Augmented Generation
NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question Answering
LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease
Discovering Chunks in Neural Embeddings for Interpretability
ACT-JEPA: Joint-Embedding Predictive Architecture Improves Policy Representation Learning
Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms
Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents
Passage Segmentation of Documents for Extractive Question Answering
Enhancing Talent Employment Insights Through Feature Extraction with LLM Finetuning
S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System
CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano
PCA-Featured Transformer for Jamming Detection in 5G UAV Networks
A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science
Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation
Attamba: Attending To Multi-Token States
Performance Evaluation of Geospatial Images based on Zarr and Tiff
Unlocking Legal Knowledge with Multi-Layered Embedding-Based Retrieval
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.