Author

Hao-Bo Xu

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Preprint Aug 2026

Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed

Small Language Models (SLMs) have emerged as a more efficient alternative to traditional Large Language Models (LLMs), offering promising potential in resource-constrained scenarios. Existing approaches to building SLMs typically follow two paths: training compact models from scratch, or compressing larger pre-trained...

Haokun Lin, Kaijie Zhu, Hao-Bo Xu et al. · 1 citation

#artificial intelligence Preprint Sep 2026

Predict, Don't Iterate: Efficient Adaptive-Length Infilling for Diffusion Language Models

Diffusion language models (DLMs) have emerged as a promising alternative to the auto-regressive paradigm. With bidirectional attention and any-order generation, DLMs naturally fit infilling tasks, which require generating a middle span conditioned on both the prefix and the suffix. However, infilling is sensitive to th...

Hao-Bo Xu, Si-Rui Chen, Yuanchen Bei et al. · 0 citations

Jun 2026

TAG-DLM: Diffusion Language Models for Text-Attributed Graph Learning

This work proposes method that unifies textual reasoning and graph message passing within a masked diffusion language model, a language model with bidirectional attention and generative decoding that outperforms graph neural networks, graph transformers, and LLM-based baselines on all three TAG benchmarks across two ta...

Lingjie Chen, Yuanchen Bei, Haobo Xu et al. · arXiv.org · 1 citation