https://github.com/dm2-nd/gentaxo
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
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Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Large language model validity via enhanced conformal prediction methods
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
Text Generation from Knowledge Graphs with Graph Transformers
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Explainable Reasoning over Knowledge Graphs for Recommendation
Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Evaluating recommender systems for AI-driven biomedical informatics
Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
LLMZip: Lossless Text Compression using Large Language Models
Accelerating Large Language Model Decoding with Speculative Sampling
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
RAGAS: Automated Evaluation of Retrieval Augmented Generation
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
OpenAssistant Conversations -- Democratizing Large Language Model Alignment
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Accelerating Large Language Model Decoding with Speculative Sampling
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.