PurpCode: Reasoning for Safer Code Generation

PurpCode: Reasoning for Safer Code Generation

Jiawei Liu, Nirav Diwan, Zhe Wang, Haoyu Zhai, Xiaona Zhou, Kiet A. Nguyen, Tianjiao Yu, Muntasir Wahed, Yinlin Deng, Hadjer Benkraouda, Yuxiang Wei, Lingming Zhang, Ismini Lourentzou, Gang Wang

Conference on Neural Information Processing Systems (NeurIPS) 2025

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?

Muntasir Wahed, Xiaona Zhou, Kiet A. Nguyen, Tianjiao Yu, Nirav Diwan, Gang Wang, Dilek Hakkani-Tür, Ismini Lourentzou

Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings 2025

CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models

CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models

Kiet A. Nguyen, Adheesh Juvekar, Tianjiao Yu, Muntasir Wahed, Ismini Lourentzou

IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025

Part$^{2}$GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting

Part$^{2}$GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting

Tianjiao Yu, Vedant Shah, Muntasir Wahed, Ying Shen, Kiet A. Nguyen, Ismini Lourentzou

Preprint 2025

HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation

HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation

Xinzhuo Li, Adheesh Juvekar, Xingyou Liu, Muntasir Wahed, Kiet A. Nguyen, Ismini Lourentzou

Preprint 2025

Uncertainty in Action: Confidence Elicitation in Embodied Agents

Uncertainty in Action: Confidence Elicitation in Embodied Agents

Tianjiao Yu, Vedant Shah, Muntasir Wahed, Kiet A. Nguyen, Adheesh Juvekar, Tal August, Ismini Lourentzou

Preprint 2025

PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation

PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation

Muntasir Wahed, Kiet A. Nguyen, Adheesh Sunil Juvekar, Xinzhuo Li, Xiaona Zhou, Vedant Shah, Tianjiao Yu, Pinar Yanardag, Ismini Lourentzou

Preprint 2024

Fine-Grained Alignment for Cross-Modal Recipe Retrieval

Fine-Grained Alignment for Cross-Modal Recipe Retrieval

Muntasir Wahed, Xiaona Zhou, Tianjiao Yu, Ismini Lourentzou

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024

MArBLE: Hierarchical Multi-Armed Bandits for Human-in-the-Loop Set Expansion

MArBLE: Hierarchical Multi-Armed Bandits for Human-in-the-Loop Set Expansion

Muntasir Wahed, Daniel Gruhl, Ismini Lourentzou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management 2023

Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet

Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet

Parshin Shojaee, Yingyan Zeng, Muntasir Wahed, Avi Seth, Ran Jin, Ismini Lourentzou

2022 IEEE International Conference on Big Data (Big Data) 2022

Hard Negative Sampling Strategies for Contrastive Representation Learning

Hard Negative Sampling Strategies for Contrastive Representation Learning

Afrina Tabassum, Muntasir Wahed, Hoda Eldardiry, Ismini Lourentzou

Preprint 2022

Adversarial Contrastive Learning by Permuting Cluster Assignments

Adversarial Contrastive Learning by Permuting Cluster Assignments

Muntasir Wahed, Afrina Tabassum, Ismini Lourentzou

Preprint 2022

SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion

SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion

Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steve Welch, Ismini Lourentzou

Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021