6 papers · 1 filter
Idea2Plan: Exploring AI-Powered Research Planning
Jin Huang, Silviu Cucerzan, Sujay Kumar Jauhar +1
Large language models (LLMs) have demonstrated significant potential to accelerate scientific discovery as valuable tools for analyzing data, generating hypotheses, and supporting…
Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar +1
Large language models (LLMs) are increasingly used for text-rich graph machine learning tasks such as node classification in high-impact domains like fraud detection and recommenda…
Evaluating Style-Personalized Text Generation: Challenges and Directions
Anubhav Jangra, Bahareh Sarrafzadeh, Silviu Cucerzan +2
With the surge of large language models (LLMs) and their ability to produce customized output, style-personalized text generation--"write like me"--has become a rapidly growing are…
Neon: News Entity-Interaction Extraction for Enhanced Question Answering
Sneha Singhania, Silviu Cucerzan, Allen Herring +1
Capturing fresh information in near real-time and using it to augment existing large language models (LLMs) is essential to generate up-to-date, grounded, and reliable output. This…
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan +1
The pace of scientific research, vital for improving human life, is complex, slow, and needs specialized expertise. Meanwhile, novel, impactful research often stems from both a dee…
Knowledge-Centric Templatic Views of Documents
Isabel Cachola, Silviu Cucerzan, Allen Herring +3
Authors seeking to communicate with broader audiences often share their ideas in various document formats, such as slide decks, newsletters, reports, and posters. Prior work on doc…