https://github.com/disi-unibo-nlp/rag-when-how-chunk
공식 코드Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
Learning to Verify Summary Facts with Fine-Grained LLM Feedback
Learning Semantic Association Rules from Internet of Things Data
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
SpikE: spike-based embeddings for multi-relational graph data
An energy-based model for neuro-symbolic reasoning on knowledge graphs
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
Learning from Mistakes via Cooperative Study Assistant for Large Language Models
TypedThinker: Typed Thinking Improves Large Language Model Reasoning
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG
Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic Settings
Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control
LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
On Diversified Preferences of Large Language Model Alignment
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.