2 citations · 3 across the 12 of their papers we have counts for
12 papers
Inference-Time Concept Suppression and Video-Centric Evaluation for Text-to-Video Models
Wenxuan Chen, Wenjie Feng
Text-to-video (T2V) generators can synthesize realistic and temporally coherent videos, but controllably removing a target concept from a generator remains difficult. Unlike text-t…
AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation
Shuai Cui, Chen Wenxuan, Wenjie Du +3
Generative modeling of longitudinal Electronic Health Records is increasingly important for privacy-preserving research, yet standard autoregressive models tend to underrepresent t…
Signal-Guided Optimization for Machine Unlearning
Xujia Li, Dan Li, Jian Lou +1
Current machine unlearning methods predominantly rely on global, coarse-grained intervention strategies. They lack precise pilot signals to guide the unlearning process and fail to…
Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation
Qi Cao, Jian Lou, Meiting Liu +4
Activation steering has emerged as a popular inference-time technique for modulating the behavior of large language models (LLMs). By constructing a steering vector from examples o…
Exploiting Verification-Generation Gap: Test-Time Reinforcement Learning with Confidence-Conditioned Verification
Jiahui Li, Jianfeng Shan, Wenpei Chen +5
Test-time reinforcement learning has emerged as a promising paradigm for enhancing the complex reasoning abilities of large language models in a completely label-free manner. Despi…
Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning
Lin Li, Jiawei Huang, Qihao Quan +7
In this paper, we propose the first VL\underline{\textbf{M}} \underline{\textbf{a}}gentic \underline{\textbf{r}}easoning framework for few-\underline{\textbf{s}}hot multimodal \und…