https://github.com/juliagast/tgb2
공식 코드TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
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TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Uncertainty-Guided Optimization on Large Language Model Search Trees
CogBench: a large language model walks into a psychology lab
EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums
Content-Based Collaborative Generation for Recommender Systems
AugSumm: towards generalizable speech summarization using synthetic labels from large language model
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents
Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
MindGPT: Interpreting What You See with Non-invasive Brain Recordings
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
InstructDET: Diversifying Referring Object Detection with Generalized Instructions
Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models
MISR: Measuring Instrumental Self-Reasoning in Frontier Models
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks
Aligning to Thousands of Preferences via System Message Generalization
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
Adaptive KalmanNet: Data-Driven Kalman Filter with Fast Adaptation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.