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20242026
most citedTuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach

3 citations · 3 across the 18 of their papers we have counts for

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Showing 2026 · cs.AIShow all

5 papers · 2 filters

cs.AI2026

PatientWM: Towards Generalizable Clinical World Models via Unified Patient States

Ziwen Kan, Jie Peng, Bo Yan +5

Clinical decisions depend on anticipating how a patient's condition will evolve as treatment is adjusted and new evidence becomes available. Existing medical world models capture p…

cs.AI2026

PrivMeSA: Privacy-Aware Self-Evolving Multi-Agent System for Medicine via Local-Remote LLM Collaboration

Dannong Wang, Yuran Zhang, Bian Sun +4

Clinical large language model (LLM) agents deployed locally can consult more capable remote models, but doing so risks exposing patient information. Privacy-conscious delegation pl…

cs.AI2026

Dual-Cache Latent Space Communication between Heterogeneous Language Models

Jiyao Liu, Qi Zhang, Yaoyi Jia +2

Multi-agent LLM systems split work across models, so answering often requires knowledge that sits in another agent's context: a Sharer has encoded information that a Receiver needs…

cs.AI2026

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models

Ziwen Kan, Yishuo Chen, Kecheng Li +7

Time series foundation models (TS-FMs) aim to learn generalizable temporal representations that can be adapted to a wide range of downstream tasks. In real-world multimodal setting…

cs.AI2026

Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy

Xu Shen, Zhen Tan, Song Wang +4

Chain-of-thought (CoT) reasoning improves the problem-solving ability of large language models (LLMs), but generated reasoning traces may not faithfully reflect the model's actual…