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Sui-Jin Wang

3 papers indexed here

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#artificial intelligence Preprint Oct 2026

Let the Library Speak: Self-Advertised Method Selection for Formal Proving

This work organizes 82 reusable methods from Putnam 2000-2014 as Method Contracts, which pair applicability descriptions with Mathlib anchors, a checked example or scaffold, and expected proof obligations, and analyzes when similarity-based representations cannot distinguish methods with different applicability, how er...

Xiao-Peng Yuan, Sui-Jin Wang, Yan-Lin Wang et al. · 0 citations
#machine learning Preprint Oct 2026

Objects Without Morphisms: What LLMs for Mathematics Do Not Represent

Large language models (LLMs) have reached expert-level performance on competition mathematics largely through the volume of search placed around them: candidate solutions are sampled in quantity and retained only when an external criterion accepts them. Such a procedure improves the outcome that survives it while leavi...

Yan-Lin Wang, Sui-Jin Wang, Xiao-Peng Yuan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives

This work introduces Tool Primitives, a design that replaces rigid API schema-based invocation with natural language as the interface for tool calling, where each tool is wrapped with an LLM interface that handles schema resolution and execution internally, enabling natural inter-tool communication for nested and multi...

Hai-Bo Jin, Sui-Jin Wang, Xu-Chen Yu et al. · 2 citations

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