https://github.com/aiondemand/aiod-chatbot
공식 코드Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web
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.
Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
Towards Harnessing Large Language Models for Comprehension of Conversational Grounding
VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs
SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text
A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
Complex Logical Reasoning over Knowledge Graphs using Large Language Models
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
Query2CAD: Generating CAD models using natural language queries
LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT
Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering
Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering
Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance
Prompto: An open source library for asynchronous querying of LLM endpoints
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models
Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
LLM Robustness Against Misinformation in Biomedical Question Answering
Leveraging Wikidata's edit history in knowledge graph refinement tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.