From the 1 of 7 linked papers with an AI index.
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Idea2Plan: Exploring AI-Powered Research Planning
Jin Huang, Silviu Cucerzan, Sujay Kumar Jauhar +1
The paper studies how large language models can turn research ideas into detailed research plans, introducing the Idea2Plan benchmark and evaluating models like GPT‑5 on this task.
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…
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…
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…
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…