collaborators

9 papers

cs.AI2026

KnowHal: A Knowledge-Driven Benchmark for Comprehensive Multimodal Hallucination Evaluation

Ruihan Li, Jiyang Tan, Kailin Jiang +5

Hallucination remains a critical challenge for developing trustworthy Multimodal Large Language Models (MLLMs). While existing benchmarks mainly focus on entity, attribute, and rel…

cs.CV2026

MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework

Haowen Xiang, Yibo Yan, Jiahao Huo +4

Multi-vector visual document retrievers achieve strong fine-grained matching by representing each page with multiple vectors from deep Vision-Language Models (VLMs), but this desig…

cs.CV2026

AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents

Yibo Shi, Jungang Li, Linghao Zhang +25

Long-horizon GUI agents are a key step toward real-world deployment, yet effective interaction memory under prevailing paradigms remains under-explored. Replaying full interaction…

cs.CL2026

Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations

Yibo Yan, Mingdong Ou, Yi Cao +6

Harnessing the full potential of visually-rich documents requires retrieval systems that understand not just text, but intricate layouts, a core challenge in Visual Document Retrie…

cs.CL2026

Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval

Yibo Yan, Jiahao Huo, Guanbo Feng +12

With the rapid proliferation of multimodal information, Visual Document Retrieval (VDR) has emerged as a critical frontier in bridging the gap between unstructured visually rich da…

cs.CV2026

A Visual Semantic Adaptive Watermark grounded by Prefix-Tuning for Large Vision-Language Model

Qi Zheng, Shuliang Liu, Yu Huang +8

Watermarking has emerged as a pivotal solution for content traceability and intellectual property protection in Large Vision-Language Models (LVLMs). However, vision-agnostic water…

cs.CL2026

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding

Jiahao Huo, Yu Huang, Yibo Yan +7

Although Multimodal Large Language Models (MLLMs) have shown remarkable potential in Visual Document Retrieval (VDR) through generating high-quality multi-vector embeddings, the su…

cs.CL2025

KnowMT-Bench: Benchmarking Knowledge-Intensive Long-Form Question Answering in Multi-Turn Dialogues

Junhao Chen, Yu Huang, Siyuan Li +7

Multi-Turn Long-Form Question Answering (MT-LFQA) is a key application paradigm of Large Language Models (LLMs) in knowledge-intensive domains. However, existing benchmarks are lim…

cs.CV2025

Video Signature: Implicit Watermarking for Video Diffusion Models

Yu Huang, Junhao Chen, Shuliang Liu +6

The rapid development of Artificial Intelligence Generated Content (AIGC) has led to significant progress in video generation, but also raises serious concerns about intellectual p…