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arXiv 2609.32607 · eess.AS · 2026-09-26

VoxMem: Benchmarking Multimodal Memory in Large Audio Language Models

Yang Xiao, Vidhyasaharan Sethu, Eun-Jung Holden, Ting Dang

The University of Melbourne

In latest · #146 Added on 2026-10-21

One-line takeaway

VoxMem benchmarks whether audio LLMs remember who said what, how, and what was audible—information beyond the transcript.

VoxMem 评测音频大模型能否记住语音里“谁说的、怎么说的、听到了什么”等转写之外的信息。

134HF upvotes
7GitHub stars
0Citations (Semantic Scholar)
55.9Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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