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Aaron Colak

3 accepted papers

2026

AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval

ICLR 2026poster

Accurate recall from large-scale memories remains a core challenge for memory-augmented AI assistants performing question answering (QA), especially in similarity-dense scenarios where existing methods mainly rely on semantic distance to the query for retrieval. Inspired by how humans link informati…

Cited by 0SourceScholar
2025

Memory-QA: Answering Recall Questions Based on Multimodal Memories

EMNLP 2025

We introduce Memory-QA, a novel real-world task that involves answering recall questions about visual content from previously stored multimodal memories. This task poses unique challenges, including the creation of task-oriented memories, the effective utilization of temporal and location informatio

2023

Compressing Cross-Lingual Multi-Task Models at Qualtrics

AAAI 2023technical

Experience management is an emerging business area where organizations focus on understanding the feedback of customers and employees in order to improve their end-to-end experiences. This results in a unique set of machine learning problems to help understand how people feel, discover issues they c…

Cited by 2SourcePDFScholar