Search Results for author:
Found 5 papers, 4 papers with code
AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
Drawing inspiration from the graph modeling of knowledge, AtomR leverages large language models (LLMs) to decompose complex questions into combinations of three atomic knowledge operators, significantly enhancing the reasoning process at both the planning and execution stages.
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning
While Large Language Models show remarkable performance in natural language understanding, their resource-intensive nature makes them less accessible.
LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
Entity Linking (EL) models are well-trained at mapping mentions to their corresponding entities according to a given context.
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering
We present Visual Knowledge oriented Programming platform (VisKoP), a knowledge base question answering (KBQA) system that integrates human into the loop to edit and debug the knowledge base (KB) queries.
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitates improvements in evaluations.
