From the 1 of 8 linked papers with an AI index.
8 papers
ARCHER: Agentic Rule and Compliance Harness for Executable Regulations
Chiraag Singh Anand, Xue Wen Tan, Lionel Teo +1
The paper presents ARCHER, a multi‑agent program‑synthesis system that automatically generates auditable verification code from building regulations to enable scalable, transparent…
The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models
Xue Wen Tan, Nathaniel Tan, Galen Lee +1
Evaluating the quality of reasoning traces from large language models remains understudied, labor-intensive, and unreliable: current practice relies on expert rubrics, manual annot…
Compliance-Aware Agentic Payments on Stablecoin Rails
Kenneth See, Xue Wen Tan
Agentic payment systems extend delegated action to financial transfers, but scaling them on stablecoin rails in regulated settings requires safeguards that remain effective when hu…
Anticipate, Simulate, Reason (ASR): A Comprehensive Generative AI Framework for Combating Messaging Scams
Xue Wen Tan, Kenneth See, Stanley Kok
The rapid growth of messaging scams creates an escalating challenge for user security and financial safety. In this paper, we present the \textit{Anticipate, Simulate, Reason} (ASR…
Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach
Xue Wen Tan, Stanley Kok
Every publicly traded U.S. company files an annual 10-K report containing critical insights into financial health and risk. We propose Tiny eXplainable Risk Assessor (TinyXRA), a l…
SMARTe: Slot-based Method for Accountable Relational Triple extraction
Xue Wen Tan, Stanley Kok
Relational Triple Extraction (RTE) is a fundamental task in Natural Language Processing (NLP). However, prior research has primarily focused on optimizing model performance, with l…