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3 results for “multi-hop reasoning”
SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation
SearchEyes is a new open-source multimodal search agent framework that unifies training data, environment simulation, and reward design using a typed knowledge graph and hop-anchored reinforcement learning to improve multi-hop reasoning performance.
Jul 9, 2026
DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning
Researchers propose a new architecture for multi-hop reasoning tasks in large language models.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs
Cassie Shum presents GraphRAG as an architectural evolution beyond vector-based RAG, emphasizing knowledge graphs to improve global context, multi-hop reasoning, and provenance in enterprise AI workflows.
Published Jul 1, 2026 · Analyzed Jul 4, 2026