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#artificial intelligence Preprint Sep 2026

TCSAlgBench: Benchmarking Automated Proving for Research-Level Theoretical Computer Science

Large language models perform strongly on competition mathematics, but their research-level reasoning remains difficult to evaluate systematically. Theoretical computer science (TCS) connects algorithm design to explicit guarantees and fundamental limits, providing a setting for evaluating whether models can justify co...

Chu-Tong Yang, Xi-Yuan Zhang, Yu Huang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Business Compromise Detection with Agentic AI and LLM-driven Knowledge Discovery

This study finds the autonomous agent is a strong, recall-heavy signal extractor but an unreliable final arbiter, conceding precision on ambiguous decisions, so keeps the agent as an investigator that emits a structured, interpretable signal vector, and delegates the verdict to a neuro-symbolic stage.

D. Palma, Kyu Bin Kim, Zhen Han et al. · 0 citations

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