2 citations · 2 across the 8 of their papers we have counts for
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cs.AI2026
FastE: Readout-Triggered Token Compression for LLM Embedding Inference
Jinsong Shu, Jinyong Wen, Baokun Wang +4
In this study, we identify depth-dependent prefix redundancy in final-readout LLM embedding models, notably across representative backbones including Qwen3-Embedding and Qwen3-VL-E…
cs.AI2026
CtrlCoT: Dual-Granularity Chain-of-Thought Compression for Controllable Reasoning
Zhenxuan Fan, Jie Cao, Yang Dai +5
Chain-of-thought (CoT) prompting improves LLM reasoning but incurs high latency and memory cost due to verbose traces, motivating CoT compression with preserved correctness. Existi…
cs.AI2025★ 2 cited
Generative AI for Healthcare: Fundamentals, Challenges, and Perspectives
Gang Chen, Changshuo Liu, Gene Anne Ooi +7
Generative Artificial Intelligence (GenAI) is taking the world by storm. It promises transformative opportunities for advancing and disrupting existing practices, including healthc…