5 citations · 5 across the 3 of their papers we have counts for
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cs.CL2026
Iteration Without Elaboration: A Simple ReAct Architecture Suffices for Text-to-SQL Generation
Jian Lu, Haiwei Yu, Raymond M Xiong +2
Modern text-to-SQL systems have become increasingly elaborate, relying on schema-linking modules, retrieval-augmented prompting, candidate generation, and multi-stage refinement pi…
cs.CL2026
What Patients Really Ask: Exploring the Effect of False Assumptions in Patient Information Seeking
Raymond Xiong, Furong Jia, Lionel Wong +1
Patients are increasingly using large language models (LLMs) to seek answers to their healthcare-related questions. However, benchmarking efforts in LLMs for question answering oft…
cs.CL2025★ 5 cited
Retrieval-augmented systems can be dangerous medical communicators
Lionel Wong, Ayman Ali, Raymond Xiong +3
Patients have long sought health information online, and increasingly, they are turning to generative AI to answer their health-related queries. Given the high stakes of the medica…