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Zhihan Guo

2 accepted papers

2025

From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models

EMNLP 2025

Current research on long-form context in Large Language Models (LLMs) primarily focuses on the understanding of long-contexts, the **Open-ended Long Text Generation** (Open-LTG) remains insufficiently explored. Training a long text generation model requires curation of gold-standard reference data,

2024

FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering

NAACL 2024findings

Federated Multilingual Modeling (FMM) plays a crucial role in the applications of natural language processing due to the increasing diversity of languages and the growing demand for data privacy. However, FMM faces limitations stemming from (1) the substantial communication costs in networking and (…