Yichong Huang

According to our database, Yichong Huang authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging.

Zijian Li, Xiaocheng Feng, Huixin Liu, Yichong Huang, Ting Liu, Bing Qin

CoRR, June, 2025

One for All: Update Parameterized Knowledge Across Multiple Models.

Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin

CoRR, June, 2025

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention.

Zekai Ye, Qiming Li, Xiaocheng Feng, Libo Qin, Yichong Huang, Baohang Li, Kui Jiang, Yang Xiang, Zhirui Zhang, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.

Yangfan Ye, Xiaocheng Feng, Zekun Yuan, Xiachong Feng, Libo Qin, Lei Huang, Weitao Ma, Yichong Huang, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit.

Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning.

Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Ensuring Consistency for In-Image Translation.

Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Zhirui Zhang, Yunfei Lu, Dandan Tu, Duyu Tang, Hui Wang, Bing Qin, Ting Liu

CoRR, 2024

XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation.

Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Libo Qin, Yichong Huang, Lei Huang, Weitao Ma, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin

CoRR, 2024

Relay Decoding: Concatenating Large Language Models for Machine Translation.

Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bing Qin, Ting Liu

CoRR, 2024

Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.

Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu

CoRR, 2024

SCIR-MT's Submission for WMT24 General Machine Translation Task.

Baohang Li, Zekai Ye, Yichong Huang, Xiaocheng Feng, Bing Qin

Proceedings of the Ninth Conference on Machine Translation, 2024

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.

Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Aligning Translation-Specific Understanding to General Understanding in Large Language Models.

Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation.

Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations.

Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Higher Pareto Frontier in Multilingual Machine Translation.

Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation.

Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin

CoRR, 2022

Unifying the Convergences in Multilingual Neural Machine Translation.

Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey.

Yi-Chong Huang, Xiachong Feng, Xiaocheng Feng, Bing Qin

CoRR, 2021