135 citations · 301 across the 21 of their papers we have counts for
23 papers
Simple Rule Injection for ComplEx Embeddings
Haodi Ma, Anthony Colas, Yuejie Wang +2
Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge. However, they usually cannot avoid…
Can Knowledge Graphs Simplify Text?
Anthony Colas, Haodi Ma, Xuanli He +2
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG. As KGs are widespread across multiple…
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering
Yang Bai, Anthony Colas, Daisy Zhe Wang
Check-worthy claim detection aims at providing plausible misinformation to downstream fact-checking systems or human experts to check. This is a crucial step toward accelerating th…
Reasoning with Language Model is Planning with World Model
Shibo Hao, Yi Gu, Haodi Ma +4
Large language models (LLMs) have shown remarkable reasoning capabilities, especially when prompted to generate intermediate reasoning steps (e.g., Chain-of-Thought, CoT). However,…
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN
Yifan Wang, Daisy Zhe Wang
Density-based clustering is a commonly used tool in data science. Today many data science works are utilizing high-dimensional neural embeddings. However, traditional density-based…
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge
Haodi Ma, Daisy Zhe Wang
Knowledge graphs (KG) have served as the key component of various natural language processing applications. Commonsense knowledge graphs (CKG) are a special type of KG, where entit…