Author

Junlan Feng

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Preprint Aug 2026

TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis

TrustDABench is introduced, a benchmark that operationalizes two diagnostic questions of LLM reliability and robustness and suggests that stronger evidence-boundary recognition and representation-invariant reasoning are still needed for reliable structured-data analysis.

Boshen Shi, Yize Liu, Chen Zhao et al. · 0 citations

Review

A Survey of Joint Online-Offline Fine-tuning for Large Language Models

This work advocates for Joint Online-Offline Fine-Tuning as a superior paradigm that breaks the convention of restricting offline data to SFT and online data to RFT, and provides the first comprehensive survey focusing specifically on the synchronization of data provenance.

Taihang Zhen, Guang Yang, Chenzhang Li et al. · 0 citations