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Yunqi Ba

2 accepted papers

2026

One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception

ICML 2026poster

By sharing intermediate features, collaborative perception extends each agent's sensing beyond standalone limits, but real-world feature modality heterogeneity remains a key barrier to effective fusion. Most existing methods, including direct adaption and protocol-based transforma-tion, typically re…

Cited by 0SourceScholar
2024

DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models

EMNLP 2024main

The performance of Large Language Models (LLMs) is substantially influenced by the pretraining corpus, which consists of vast quantities of unsupervised data processed by the models. Despite its critical role in model performance, ensuring the quality of this data is challenging due to its sheer vol…