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20232026
most citedA Resilient and Accessible Distribution-Preserving Watermark for Large Language Models

4 citations · 9 across the 16 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.DC2025

An Efficient and Adaptive Watermark Detection System with Tile-based Error Correction

Xinrui Zhong, Xinze Feng, Jingwei Zuo +6

Efficient and reliable detection of generated images is critical for the responsible deployment of generative models. Existing approaches primarily focus on improving detection acc…

cs.LG2025

Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining

Chenxi Liu, Tianyi Xiong, Yanshuo Chen +5

The task adaptation and alignment of Large Multimodal Models (LMMs) have been significantly advanced by instruction tuning and further strengthened by recent preference optimizatio…

cs.CL2025

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems

Yan Wen, Junfeng Guo, Heng Huang

As large language models (LLMs) evolve into autonomous agents capable of collaborative reasoning and task execution, multi-agent LLM systems have emerged as a powerful paradigm for…

cs.CL2025

Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation

Tong Zheng, Yan Wen, Huiwen Bao +2

The emergence of Large Language Models (LLMs) has advanced the multilingual machine translation (MMT), yet the Curse of Multilinguality (CoM) remains a major challenge. Existing wo…

cs.CL2025★ 1 cited

Improved Unbiased Watermark for Large Language Models

Ruibo Chen, Yihan Wu, Junfeng Guo +1

As artificial intelligence surpasses human capabilities in text generation, the necessity to authenticate the origins of AI-generated content has become paramount. Unbiased waterma…

cs.CR2025

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

Junfeng Guo, Yiming Li, Ruibo Chen +4

Large language models (LLMs) are increasingly integrated into real-world personalized applications through retrieval-augmented generation (RAG) mechanisms to supplement their respo…