1 citations · 1 across the 9 of their papers we have counts for
10 papers
FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing
Wang Wei, Harry Yang, Tiankai Yang +6
Existing Large Language Model (LLM) routing methods score LLMs independently to select top- models. However, this ignores model correlations and enforces a rigid computational b…
Aborted but Not Forgotten: KV-Cache Retention Breaks Rollback Consistency in Language Agents
Guijia Zhang, Harry Yang
Stateful language agents assume a rejected branch can be taken back by clearing it from the application transcript. We show this breaks when the serving session retains key/value (…
Do GUI Agents Believe Their Eyes? Diagnosing State-Belief Reliance on Pixels versus Structure
Guijia Zhang, Yuxun Chen, Yuheng Qi +1
Multimodal GUI agents read an interface through two redundant channels: the rendered pixels of a screenshot and a serialized structure such as a document object model or accessibil…
Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Runzhe Liu, Biquan Bie, Zihao Wang +7
The application of lightweight Large Language Models in rule-based scientific domains remains severely limited by their tendency to mimic linguistic patterns rather than reproduce…
Hallucination as Exploit: Evidence-Carrying Multimodal Agents
Guijia Zhang, Hao Zheng, Harry Yang
Multimodal agents increasingly choose tool calls from screenshots, documents, and webpages, where a false perceptual claim can turn hallucination from an answer-quality error into…
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
Yipeng Du, Zihao Wang, Ahmad Farhan +7
The deployment of large-scale models, such as large language models (LLMs), incurs substantial costs due to their computational demands. To mitigate these costs and address challen…
Encrypted Large Model Inference: The Equivariant Encryption Paradigm
James Buban, Hongyang Zhang, Claudio Angione +10
Large scale deep learning model, such as modern language models and diffusion architectures, have revolutionized applications ranging from natural language processing to computer v…
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
Yuzhe Yang, Yipeng Du, Ahmad Farhan +6
The deployment of large-scale models, such as large language models (LLMs) and sophisticated image generation systems, incurs substantial costs due to their computational demands.…
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
Claudio Angione, Yue Zhao, Harry Yang +4
The rapid growth of large-scale AI models, particularly large language models has brought significant challenges in data privacy, computational resources, and accessibility. Tradit…
Towards Secure and Private AI: A Framework for Decentralized Inference
Hongyang Zhang, Yue Zhao, Claudio Angione +5
The rapid advancement of ML models in critical sectors such as healthcare, finance, and security has intensified the need for robust data security, model integrity, and reliable ou…