Author

Tiehua Zhang

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#machine learning Preprint Aug 2026

Discovering and Preserving Category Correlation Knowledge via Adaptive Reciprocal Knowledge Distillation

Knowledge distillation aims to improve the performance of lightweight student models by transferring knowledge from larger and more powerful teacher models. However, a substantial size gap between teacher and student models often impedes effective knowledge transfer. Most existing approaches adopt a static, one-way tea...

Da-Wen Jiang, Zhi-Shu Shen, Ze-Yu Liu et al. · 0 citations

Preprint Aug 2026

Counterfactual Benchmarking and Training for Factuality Consistency and Order-Robust Grounded Reasoning in LLMs over Heterogeneous Knowledge

TKFQA, a factuality consistency benchmark comprising 10,130 question-answering (QA) pairs grounded in tables, texts, and knowledge graphs, is introduced and ORLF, an LLM-agnostic training framework that models cross-context topological relations through knowledge-specific latent vectors is proposed.

Shibo Chu, Yu-Ze Liu, Tie-Hua Zhang et al. · 0 citations