collaborators

11 papers

cs.CV2026

ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation

Cong Wang, Haiyu Wu, Zhiwei Jiang +4

Concept erasure aims to prevent image generative models from producing unsafe content while preserving their general generative capability. Meanwhile, next-scale autoregressive (AR…

cs.CV2026

Multi-Label Test-Time Adaptation with Bayesian Conditional Priors

Qiru Li, Ao Zhou, Zhiwei Jiang +4

Multi-label recognition with frozen Vision-Language Models (VLMs) is brittle under distribution shift: standard zero-shot inference scores labels independently, ignoring co-occurre…

cs.CL2025

RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection

Shufan Yang, Zifeng Cheng, Zhiwei Jiang +5

Embedding-as-a-Service (EaaS) is an effective and convenient deployment solution for addressing various NLP tasks. Nevertheless, recent research has shown that EaaS is vulnerable t…

cs.CV2025

Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization

Cong Wang, Zexuan Deng, Zhiwei Jiang +6

Sign Language Video Generation (SLVG) seeks to generate identity-preserving sign language videos from spoken language texts. Existing methods primarily rely on the single coarse co…

cs.CL2025

Steering When Necessary: Flexible Steering Large Language Models with Backtracking

Zifeng Cheng, Jinwei Gan, Zhiwei Jiang +5

Large language models (LLMs) have achieved remarkable performance across many generation tasks. Nevertheless, effectively aligning them with desired behaviors remains a significant…

cs.IR2025

Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering

Ao Zhou, Zebo Gu, Tenghao Sun +6

Multimodal Large Language Models (MLLMs) have demonstrated remarkable multimodal understanding capabilities in Visual Question Answering (VQA) tasks by integrating visual and textu…