… AI-generated summary Memory retrieval in agentic large language model LLM systems is often treated as a static lookup problem, relying on flat vector search or fixed binary relational graphs. …
… AI-generated summary Multi-agent systems MAS have emerged as a promising paradigm for solving complex tasks. …
… AI-generated summary Long-term memory is essential for LLM agents that operate across multiple sessions, yet existing memory systems treat retrieval infrastructure as fixed: stored content evolves while scoring functions, fusion strategies, and answer-generation policies remain frozen at deployment. …
… The following papers were recommended by the Semantic Scholar API CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers 2026 simpleposter: a simple baseline for product poster generation 2026 Multimodal Large Language Models for Multi-Subject In-Context Image Generat… …
… AI-generated summary Multimodal deep search requires an agent to solve open-world problems by chaining search, tool use, and visual reasoning over evolving textual and visual context. Two bottlenecks limit current systems. …