Issam Laradji

ServiceNow (United States) — United States

Computer Science · Physical Sciences

21h-index2.0kcitations110works2.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

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Research Topics

Domain Adaptation and Few-Shot Learning(21), Multimodal Machine Learning Applications(18), Advanced Neural Network Applications(17), Stochastic Gradient Optimization Techniques(16), Topic Modeling(15)

Publications110 total

DRBench: A Realistic Benchmark for Enterprise Deep Research
arXiv (Cornell University)·2025Open Access
StarVector: Generating Scalable Vector Graphics Code from Images and Text
2025· 4 cited
SSLR: A Semi-Supervised Learning Method for Isolated Sign Language Recognition
arXiv (Cornell University)·2025Open Access
StarVector: Generating Scalable Vector Graphics Code from Images and Text
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 3 citedOpen Access
AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery
arXiv (Cornell University)·2025Open Access
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
arXiv (Cornell University)·2025Open Access
FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering
2025Open Access
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
2025· 2 citedOpen Access
LitLLMs, LLMs for Literature Review: Are we there yet?
arXiv (Cornell University)·2024· 2 citedOpen Access
FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering
arXiv (Cornell University)·2024Open Access
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
arXiv (Cornell University)·2024· 1 citedOpen Access
Fast Convergence of Softmax Policy Mirror Ascent
arXiv (Cornell University)·2024Open Access
IntentGPT: Few-shot Intent Discovery with Large Language Models
arXiv (Cornell University)·2024· 5 citedOpen Access
Few-shot Learning for Sign Language Recognition with Embedding Propagation
2024· 2 citedOpen Access
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
arXiv (Cornell University)·2024· 1 citedOpen Access
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
arXiv (Cornell University)·2024Open Access
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
arXiv (Cornell University)·2024Open Access
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
arXiv (Cornell University)·2024· 1 citedOpen Access
LitLLM: A Toolkit for Scientific Literature Review
arXiv (Cornell University)·2024· 8 citedOpen Access
Where are the Masks: Instance Segmentation with Image-level Supervision
arXiv (Cornell University)·2024· 27 citedOpen Access
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Frequent Co-authors

David Vázquez(19), Pau Rodríguez(18), Mark Schmidt(14), Simon Lacoste-Julien(9), Sharan Vaswani(7), Alexandre Lacoste(7), M. Caccia(7), Derek Nowrouzezahrai(6), Julie Nutini(5), David Vázquez(4), Nicolas Loizou(4), Laurent Charlin(4), Marco Pedersoli(4), Negar Rostamzadeh(3), Pedro O. Pinheiro(3), Hoyt Koepke(3), Gaurav Sahu(3), Parmida Atighehchian(3), Fabrice Normandin(3), Irina Rish(3)