2 citations · 5 across the 5 of their papers we have counts for
5 papers
Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM
Peiran Yao, Kostyantyn Guzhva, Denilson Barbosa
Symbolic sentence meaning representations, such as AMR (Abstract Meaning Representation) provide expressive and structured semantic graphs that act as intermediates that simplify d…
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
Xuefei Ning, Zifu Wang, Shiyao Li +7
Teaching to improve student models (e.g., knowledge distillation) is an extensively studied methodology in LLMs. However, for humans, teaching improves not only students but also t…
Accurate and Nuanced Open-QA Evaluation Through Textual Entailment
Peiran Yao, Denilson Barbosa
Open-domain question answering (Open-QA) is a common task for evaluating large language models (LLMs). However, current Open-QA evaluations are criticized for the ambiguity in ques…
NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools
Peiran Yao, Matej Kosmajac, Abeer Waheed +3
NLP Workbench is a web-based platform for text mining that allows non-expert users to obtain semantic understanding of large-scale corpora using state-of-the-art text mining models…
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
Peiran Yao, Denilson Barbosa
Factual knowledge graphs (KGs) such as DBpedia and Wikidata have served as part of various downstream tasks and are also widely adopted by artificial intelligence research communit…