collaborators

5 papers

cs.CV2026

MambaRaw: Selective State Space Modeling for Efficient 4K Raw Image Reconstruction

Peize Li, Fanhu Zeng, Tongda Xu +5

In-camera JPEG previews are ubiquitous in raw image formats and provide an sRGB reference at negligible storage cost. Although existing metadata-based reconstruction frameworks can…

cs.CL2026

A Closer Look into LLMs for Table Understanding

Jia Wang, Chuanyu Qin, Mingyu Zheng +3

Despite the success of Large Language Models (LLMs) in table understanding, their internal mechanisms remain unclear. In this paper, we conduct an empirical study on 16 LLMs, cover…

cs.CL2026

Order Is Not Layout: Order-to-Space Bias in Image Generation

Yongkang Zhang, Zonglin Zhao, Yuechen Zhang +3

We study a systematic bias in modern image generation models: the mention order of entities in text spuriously determines spatial layout and entity--role binding. We term this phen…

cs.AI2026

Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models

Ruitong Liu, Boxu Lin, Peize Li +4

Fusing Knowledge Graphs with Large Language Models (LLMs) is crucial for knowledge-intensive tasks like knowledge graph completion. Existing LLM-based approaches typically inject g…

cs.CV2024

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering

Peize Li, Qingyi Si, Peng Fu +2

Retrieval-based multi-image question answering (QA) task involves retrieving multiple question-related images and synthesizing these images to generate an answer. Conventional "ret…