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MMA: Multimodal Memory Agent

Intermediate

Yihao Lu, Wanru Cheng et al.Feb 18arXiv

Long-horizon AI assistants can grab old, low-quality, or conflicting memories and then answer with too much confidence, which is dangerous.

#memory-augmented LLMs#multimodal agents#reliability scoring

Panini: Continual Learning in Token Space via Structured Memory

Intermediate

Shreyas Rajesh, Pavan Holur et al.Feb 16arXiv

Panini is a way for AI to keep learning new facts without changing its brain by storing them as tiny linked Q&A facts in an external memory.

#non-parametric continual learning#structured memory#Generative Semantic Workspace

Over-Searching in Search-Augmented Large Language Models

Intermediate

Roy Xie, Deepak Gopinath et al.Jan 9arXiv

The paper shows that language models with a search tool often look up too much information, which wastes compute and can make answers worse on unanswerable questions.

#search-augmented LLMs#over-searching#abstention

Papers3

MMA: Multimodal Memory Agent

Panini: Continual Learning in Token Space via Structured Memory

Over-Searching in Search-Augmented Large Language Models