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cs.AI2026
Split the Labor: Separating Evidence Interpretation from Decision Aggregation
Zhelun Wu
Systems that ask a language model to reach a conclusion from many sources usually concatenate them into one prompt. This conflates two operations with different requirements. Inter…
cs.AI2026
Never the Number: Structural Abstention for AI Systems Whose Answers Are Consumed as Fact
Zhelun, Wu
Large language models have made natural language interfaces to databases (NLIDB) newly credible, but LLM text-to-SQL systems fail in a way that matters for deployment: a hallucinat…