Agentic Reasoning

Why trajectory faithfulness matters A multimodal agent does more than emit an answer. It observes images, calls tools, retrieves evidence, forms intermediate claims, and sometimes repairs its own trajectory. Final-answer accuracy compresses all of this into one bit: correct or incorrect. It cannot reveal whether the answer was grounded, guessed from a language prior, or reached through errors that happened to cancel out.

Jul 30, 2026

Abstract Graph Foundation Models need large, diverse graph corpora, but real-world graphs are often small, private, or expensive to annotate. GraphMaster turns graph synthesis into a coordinated agent workflow: four specialized LLM agents iteratively expand a text-attributed graph while preserving both its meaning and topology.

Mar 6, 2025