https://github.com/wanglingxiang1298/CodeBC
공식 코드CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
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.
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Do Language Models Perform Generalizable Commonsense Inference?
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs
Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel
Intent Representation Learning with Large Language Model for Recommendation
Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training
Retraining-Free Merging of Sparse MoE via Hierarchical Clustering
Enhancing Large Language Model with Self-Controlled Memory Framework
CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps
Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking
Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking
Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
Paragraph-to-Image Generation with Information-Enriched Diffusion Model
Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.