Author

Heng-Jie Cao

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#edge computing Open access Sep 2026

SATLLM: A Sparsity-aware Accelerator for Ternary-Weight Large Language Models

Large language models (LLMs) exhibit strong performance across applications, but their inference is computationally intensive, posing significant challenges for edge deployment. Quantization is among the most effective and widely used optimizations. In particular, ternary-weight quantization further lowers compute cost...

Chang-Xu Liu, Yi-Fan Song, Yi-Feng Yang et al. · ACM Transactions on Design A... · 0 citations

#natural language process... Jun 2026

Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization

TAP-PER (Temporal Attentive Prefix for PERsonalization), a prefix-based framework that encodes user preferences as learnable representations, avoiding the serialization of user histories into prompts and replacing heavy per-user adapters with lightweight user-state prefix embeddings, is proposed.

Heng-Jie Cao, Fan Zhang, Jiangqi Yao et al. · arXiv.org · 1 citation