From the 2 of 5 linked papers with an AI index.
5 papers
Critic Experience Bank: Self-Evolving Step-Level Confidence Estimation for LLM Agents
Yaopei Zeng, Congchao Wang, JianHang Chen +3
The paper proposes the Critic Experience Bank, a training-free framework that lets large language model agents estimate confidence for each action by storing and retrieving past st…
ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing
Yaopei Zeng, Congchao Wang, Blake JianHang Chen +1
The paper proposes two methods—a attention‑based probe and a KL‑regularized LoRA probe (ReLope)—to improve routing decisions in multimodal large language models by extracting more…
Forced Deferral: Manipulating Routing Decisions in Multimodal LLM Cascades
Zhongye Liu, Yaopei Zeng, Yurui Chang +1
While multimodal large language models (MLLMs) have shown strong visual reasoning abilities, serving a large model for every query is computationally expensive. MLLM cascades mitig…
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models
Yaopei Zeng, Yuanpu Cao, Bochuan Cao +3
Recent advances in diffusion models have significantly enhanced the quality of image synthesis, yet they have also introduced serious safety concerns, particularly the generation o…
GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors
Yaopei Zeng, Yuanpu Cao, Lu Lin
The growing accessibility of diffusion models has revolutionized image editing but also raised significant concerns about unauthorized modifications, such as misinformation and pla…