collaborators

5 papers

cs.CR2026

AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing

Yuexin Li, Wenjie Qu, Linyu Wu +5

Existing sentence-level watermarking methods enhance robustness to paraphrasing by anchoring watermarks in sentence semantics. However, their prefix-based designs remain vulnerable…

cs.CV2026

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents

Fanqing Meng, Lingxiao Du, Zijian Wu +46

Language-model agents are increasingly used as persistent coworkers that assist users across multiple working days. During such workflows, the surrounding environment may change in…

cs.CL2026

Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration

Linhao Zhong, Linyu Wu, Wen Wang +5

Diffusion large language models (dLLMs) have recently attracted significant attention for their ability to enhance diversity, controllability, and parallelism. However, their non-s…

cs.CL2026

Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models

Linhao Zhong, Linyu Wu, Bozhen Fang +6

Diffusion Language Models (DLMs) offer a promising alternative for language modeling by enabling parallel decoding through iterative refinement. However, most DLMs rely on hard bin…

cs.LG2025

DMark: Order-Agnostic Watermarking for Diffusion Large Language Models

Linyu Wu, Linhao Zhong, Wenjie Qu +5

Diffusion large language models (dLLMs) offer faster generation than autoregressive models while maintaining comparable quality, but existing watermarking methods fail on them due…