Tingzhu Chen — accepted AI-conference papers

2026

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters

Zijian Chen, Wenjie Hua, Jinhao Li, Lirong Deng, Fan Du, Tingzhu Chen

ICASSP 2026poster

Deciphering oracle bone characters (OBCs), the oldest attested form of written Chinese, has remained the ultimate, unwavering goal of scholars, offering an irreplaceable key to understanding humanity's early modes of production. Current decipherment methodologies of OBC are primarily constrained by…

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2025

OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?

Zijian Chen, tingzhu chen, Wenjun Zhang, Guangtao Zhai

ICLR 2025poster

We introduce OBI-Bench, a holistic benchmark crafted to systematically evaluate large multi-modal models (LMMs) on whole-process oracle bone inscriptions (OBI) processing tasks demanding expert-level domain knowledge and deliberate cognition. OBI-Bench includes 5,523 meticulously collected diverse-s…

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