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AI+Vertical-Specific Agents: Long-Term Task Execution and Proficient Tool Usage Cannot Sustain an Agent Company’s Long-Term Competitiveness | Insights from Bi Xuan, Founder and CEO of Beilian Zhuguan

At the main forum of the 1024 Model Factory · AI Community Day, Bi Xuan, founder and CEO of Beilian Zhuguan at Model Factory and former researcher at Alibaba Group, delivered a keynote speech titled “Taking SREAgent as an Example: Examining the Competitiveness of Vertical-Specific Agents.”

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PaperFormalizer: Author-in-the-Loop Autoformalization of Research Papers in Lean

arXiv:2610.31810v1 Announce Type: new Abstract: Even a carefully proofread paper can leave small gaps in its proofs or its stated assumptions. We introduce PaperFormalizer, a Lean-based agentic pipeline that helps authors find and close such gaps in their own papers and turn each paper into a Lean-verified version. Starting from the LaTeX source, PaperFormalizer transcribes the paper into a dependency graph of statements, audits each statement in natural language for faithfulness, ambiguity and correctness, and then formalizes and proves the statements in Lean against Mathlib, optional domain libraries and the author's personal toolkit. Only the author knows what a statement is meant to say and how a formalization gap in a result is best fixed. The pipeline therefore stops and asks the aut

PaperFormalizer: Author-in-the-Loop Autoformalization of Research Papers in Lean
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