activity
20162026
most citedResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

13 citations · 14 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CL2026

Where's Waldo? Query-language Preference under Cross-lingual Knowledge Disparities

Dayeon Ki, Ruochen Zhang, Silviu Cucerzan +2

Large Language Models increasingly serve as interfaces for knowledge-intensive information seeking tasks across languages by synthesizing multilingual evidence. Prior work has show…

cs.AI2026

Reinforcing Agentic Creativity in Scientific Ideation with Night Science

Priyanka Kargupta, Silviu Cucerzan, Shweti Mahajan +4

Large language models (LLMs) excel at structured, verifiable tasks, but their low-entropy bias can produce homogeneous and predictable outputs, limiting their utility for open-ende…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

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…

cs.CL2024★ 13 cited

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…

cs.CL2024

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…

cs.IR2023★ 1 cited

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan +2

Large Language Models (LLMs) excel at tackling various natural language tasks. However, due to the significant costs involved in re-training or fine-tuning them, they remain largel…

cs.AI2016

A Base Camp for Scaling AI

C. J. C. Burges, T. Hart, Z. Yang +4

Modern statistical machine learning (SML) methods share a major limitation with the early approaches to AI: there is no scalable way to adapt them to new domains. Human learning so…