Aaron Colak

According to our database, Aaron Colak authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval.

Kai Zhang, Xinyuan Zhang, Ejaz Ahmed, Hongda Jiang, Caleb Kumar, Kai Sun, Zhaojiang Lin, Sanat Sharma, Shereen Oraby, Aaron Colak, Ahmed Aly, Anuj Kumar, Xiaozhong Liu, Xin Luna Dong

CoRR, October, 2025

Memory-QA: Answering Recall Questions Based on Multimodal Memories.

Hongda Jiang, Xinyuan Zhang, Siddhant Garg, Rishab Arora, Shiunzu Kuo, Jiayang Xu, Ankur Bansal, Christopher Brossman, Yue Liu, Aaron Colak, Ahmed Aly, Anuj Kumar, Xin Luna Dong

CoRR, September, 2025

ConfQA: Answer Only If You Are Confident.

Yin Huang, Yifan Ethan Xu, Kai Sun, Vera Yan, Alicia Sun, Haidar Khan, Jimmy Nguyen, Mohammad Kachuee, Zhaojiang Lin, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

CoRR, June, 2025

An Empirical Evaluation of Encoder Architectures for Fast Real-Time Long Conversational Understanding.

Annamalai Senthilnathan, Kristjan Arumae, Mohammed Khalilia, Zhengzheng Xing, Aaron Colak

CoRR, February, 2025

PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning.

Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Memory-QA: Answering Recall Questions Based on Multimodal Memories.

Hongda Jiang, Xinyuan Zhang, Siddhant Garg, Rishab Arora, Shiunzu Kuo, Jiayang Xu, Aaron Colak, Xin Luna Dong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP.

Wei Du, Laksh Advani, Yashmeet Gambhir, Daniel J. Perry, Prashant Shiralkar, Zhengzheng Xing, Aaron Colak

CoRR, 2023

Compressing Cross-Lingual Multi-Task Models at Qualtrics.

Daniel Campos, Daniel J. Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2018

Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning.

Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, Tiberiu Doman, Arun Ravi, Matthieu Liger, Taha A. Kass-Hout

CoRR, 2018