https://github.com/chilab1/unipagpt-23
공식 코드Unipa-GPT: Large Language Models for university-oriented QA in Italian
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Unipa-GPT: Large Language Models for university-oriented QA in Italian
What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models
Large Language Model Unlearning via Embedding-Corrupted Prompts
LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation
Masked Generative Story Transformer with Character Guidance and Caption Augmentation
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
LiveMind: Low-latency Large Language Models with Simultaneous Inference
Query Performance Prediction using Relevance Judgments Generated by Large Language Models
Ranked List Truncation for Large Language Model-based Re-Ranking
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language Models
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
Enhancing Content-based Recommendation via Large Language Model
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction
Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction
Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space
M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets
AsymLoRA: Harmonizing Data Conflicts and Commonalities in MLLMs
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.