Authors

Juncen Guo

Publications 2

Preprint Open access

Marginal Response Surface Elicitation for Zero-Label Tabular Learning

Liangyu Teng, Yicheng Ding, Jing Liu et al. · 2026

Tabular learning uses structured data to predict target outcomes. Traditionally, this process has relied on labeled data. However, large language models (LLMs) can be used to elicit domain priors based on the task description and feature semantics, thereby enabling predictions without labeled data. We propose Marginal …

Preprint Open access

Which Models Work Well Together? Measuring Heterogeneity for LLM Team Selection

Liangyu Teng, Hengsong Liu, Juncen Guo et al. · 2026

The performance ceiling of an LLM team is constrained not only by individual model capabilities, but also by inter-member error resonance and predictive differences. Although heterogeneous teaming is often observed to be effective in practice, existing approaches lack complementarity metrics that are computable, interp …

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