Chunlin Liu — accepted AI-conference papers

2026

SDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object Detection

Jiaming Liang, Yifeng Zhan, Chunlin Liu, Weihua Zheng, Bingye Peng, Qiwei Liang +3

CVPR 2026

Open-vocabulary object detection (OVOD) aims to detect known and unknown objects in the open world by leveraging text prompts. Benefiting from the emergence of large-scale vision--language pre-trained models, OVOD has demonstrated strong zero-shot generalization capabilities. However, when dealing w

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2025

MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering

Teng Lin, Yuyu Luo, Honglin Zhang, Jicheng Zhang, Chunlin Liu, Kaishun Wu +1

EMNLP 2025

Cross-Document Multi-entity question answering (MEQA) demands the integration of scattered information across documents to resolve complex queries involving entities, relationships, and contextual dependencies. Although Large Language Models (LLMs) and Retrieval-augmented Generation (RAG) systems sh

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