Papers by Hendrik Hamann

1 papers
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents (2026.acl-long)

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Challenge: Existing benchmarks evaluate multi-session memory in text-only conversations or assess multimodal understanding within localized contexts.
Approach: They propose a benchmark for evaluating multimodal long-term conversational memory in MLLM agents.
Outcome: The proposed framework assesses key memory capabilities along three functional dimensions: memory extraction and test-time adaptation, memory reasoning, and memory knowledge management.

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