Yong Zhang

According to our database, Yong Zhang authored at least 21 papers between 2022 and 2026.

Collaborative distances:

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

2026

Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models.

Kainan Liu, Yong Zhang, Ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao

CoRR, February, 2026

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry.

Zhuochun Li, Yong Zhang, Ming Li, Yuelyu Ji, Yiming Zeng, Ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao, Daqing He

CoRR, January, 2026

2025

Sentinel: Attention Probing of Proxy Models for LLM Context Compression with an Understanding Perspective.

Yong Zhang, Yanwen Huang, Ning Cheng, Yang Guo, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao

CoRR, May, 2025

Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models.

Yanwen Huang, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao

CoRR, January, 2025

Rethinking Layer Removal: Preserving Critical Components with Task-Aware Singular Value Decomposition.

Kainan Liu, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao

CoRR, January, 2025

Logic Consistency Makes Large Language Models Personalized Reasoning Teachers.

Bingyuan Zhang, Xulong Zhang, Yong Zhang, Jun Yu, Jianzong Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

Self-Enhanced Reasoning Training: Activating Latent Reasoning in Small Models for Enhanced Reasoning Distillation.

Yong Zhang, Bingyuan Zhang, Zhitao Li, Ming Li, Ning Cheng, Minchuan Chen, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression.

Kainan Liu, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models.

Huangyw Huangyw, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

PFID: Privacy First Inference Delegation Framework for LLMs.

Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao

CoRR, 2024

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering.

Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2024

EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning.

Ziqi Liang, Jianzong Wang, Xulong Zhang, Yong Zhang, Ning Cheng, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2024

MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion.

Pengcheng Li, Jianzong Wang, Xulong Zhang, Yong Zhang, Jing Xiao, Ning Cheng

Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Emotion Recognition in Conversation Through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning.

Haoxiang Shi, Xulong Zhang, Ning Cheng, Yong Zhang, Jun Yu, Jing Xiao, Jianzong Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Leveraging Biases in Large Language Models: "bias-kNN" for Effective Few-Shot Learning.

Yong Zhang, Hanzhang Li, Zhitao Li, Ning Cheng, Ming Li, Jing Xiao, Jianzong Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.

Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Prompt Guided Copy Mechanism for Conversational Question Answering.

Yong Zhang, Zhitao Li, Jianzong Wang, Yiming Gao, Ning Cheng, Fengying Yu, Jing Xiao

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism.

Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter.

Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Self-Attention for Incomplete Utterance Rewriting.

Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao

Proceedings of the IEEE International Conference on Acoustics, 2022