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VoxMem: Benchmarking Multimodal Memory in Large Audio Language Models

114 upvotes · 26 SEP 2026 · Yang Xiao, Vidhyasaharan Sethu, Eun-Jung Holden et al.

This paper develops a benchmark for evaluating the memory capabilities of large audio language models (LALMs) in conversational systems. Practitioners can benefit from understanding how well these models retain information from past interactions and how they perform across different memory operations and acoustic evidence types.

multimodal memorylarge language modelscontinual learningspoken conversational systemsacoustic evidence