activity
20232026
most citedHuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

25 citations · 61 across the 19 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.AI2026

Aperture: Merge-Consistent Rotary States for Compressed Tokens

Yuhao Du, Shunian Chen

Token compression combines content from several positions, yet rotary position embeddings usually assign the merged token one coordinate. We ask what positional information must su…

cs.AI2026

The Price of Token Boundaries: Compression Certificates and Prediction

Yuhao Du, Shunian Chen

Pre-tokenisation restricts which text fragments can become prediction units, but its compression cost is obscured when tokenisers are compared only under the same boundaries. We me…

cs.AI2026

SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them

Yang Zhou, Zixuan Huang, Sunzhu Li +10

Vision-language models (VLMs) are increasingly used in embodied agents to interpret visual inputs, reason about spatial relationships, and make task-level decisions based on that r…

cs.CR2026

Do Phone-Use Agents Respect Your Privacy?

Zhengyang Tang, Ke Ji, Xidong Wang +19

We study whether phone-use agents respect privacy while completing benign mobile tasks. This question has remained hard to answer because privacy-compliant behavior is not operatio…

cs.SD2026

EvA: An Evidence-First Audio Understanding Paradigm for LALMs

Xinyuan Xie, Shunian Chen, Zhiheng Liu +4

Large Audio Language Models (LALMs) still struggle in complex acoustic scenes because they often fail to preserve task-relevant acoustic evidence before reasoning begins. We identi…

cs.DB2026★ 2 cited

From Lossy to Verified: A Provenance-Aware Tiered Memory for Agents

Qiming Zhu, Shunian Chen, Rui Yu +2

Long-horizon agents often compress interaction histories into write-time summaries. This creates a fundamental write-before-query barrier: compression decisions are made before the…