Search Results for author:
Found 7 papers, 2 papers with code
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
Recent ubiquity and disruptive impacts of large language models (LLMs) have raised concerns about their potential to be misused (. i. e, generating large-scale harmful and misleading content).
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
We present ACL OCL, a scholarly corpus derived from the ACL Anthology to assist Open scientific research in the Computational Linguistics domain.
ACL-Fig: A Dataset for Scientific Figure Classification
However, there are no large-scale retrieval services for scientific figures and tables.
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field.
Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks
The results showed the importance of retraining word embedding models to maximize the vocabulary overlap and the effectiveness of the attention mechanism.
Query Auto Completion for Math Formula Search
Query Auto Completion (QAC) is among the most appealing features of a web search engine.
DeepNorm-A Deep Learning Approach to Text Normalization
We present a novel approach in which the prediction of our classification algorithm is used by our sequence to sequence model to predict the normalized text of the input token.
