Qing Yang

According to our database, Qing Yang authored at least 50 papers between 2021 and 2025.

Collaborative distances:

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

2025

StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models.

Mohan Zhou, Yalong Bai, Qing Yang, Tiejun Zhao

ACM Trans. Multim. Comput. Commun. Appl., May, 2025

A Survey on LLM-powered Agents for Recommender Systems.

Qiyao Peng, Hongtao Liu, Hua Huang, Qing Yang, Minglai Shao

CoRR, February, 2025

Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback.

Xuanyu Zhang, Qing Yang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

FinMoE: A MoE-based Large Chinese Financial Language Model.

Xuanyu Zhang, Qing Yang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.

Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.

Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu

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

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling.

Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu

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

2024

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.

Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin

CoRR, 2024

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling.

Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

Bucket Pre-training is All You Need.

Hongtao Liu, Qiyao Peng, Qing Yang, Kai Liu, Hongyan Xu

CoRR, 2024

Review-LLM: Harnessing Large Language Models for Personalized Review Generation.

Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang

CoRR, 2024

MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability.

Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin

CoRR, 2024

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.

Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

CoRR, 2024

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models.

Yalong Bai, Mohan Zhou, Qing Yang

CoRR, 2024

DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.

Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers.

Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu

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

MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability.

Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin

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

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.

Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

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

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding.

Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.

Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

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

Extending Context Window of Large Language Models from a Distributional Perspective.

Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

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

Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training.

Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

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

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

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

Advancing Large Language Model Attribution through Self-Improving.

Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

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

CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-Driven Video Editing.

Guiwei Zhang, Tianyu Zhang, Guanglin Niu, Zichang Tan, Yalong Bai, Qing Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dynamic Prompt Optimizing for Text-to-Image Generation.

Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.

Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin

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

Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning.

Dingxin Hu, Xuanyu Zhang, Xingyue Zhang, Yiyang Li, Dongsheng Chen, Marina Litvak, Natalia Vanetik, Qing Yang, Dongliang Xu, Yanquan Zhou, Lei Li, Yuze Li, Yingqi Zhu

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

SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.

Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

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

2023

CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains.

Xuanyu Zhang, Bingbing Li, Qing Yang

CoRR, 2023

XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters.

Xuanyu Zhang, Qing Yang, Dongliang Xu

CoRR, 2023

Self-QA: Unsupervised Knowledge Guided Language Model Alignment.

Xuanyu Zhang, Qing Yang

CoRR, 2023

Generating Extractive Answers: Gated Recurrent Memory Reader for Conversational Question Answering.

Xuanyu Zhang, Qing Yang

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

Contrastive Pre-training for Personalized Expert Finding.

Qiyao Peng, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang

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

PUNR: Pre-training with User Behavior Modeling for News Recommendation.

Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu

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

XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters.

Xuanyu Zhang, Qing Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning.

Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Adaptive Attention for Sparse-based Long-sequence Transformer.

Xuanyu Zhang, Zhepeng Lv, Qing Yang

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

Pre-trained Personalized Review Summarization with Effective Salience Estimation.

Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang

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

2022

Just ClozE! A Fast and Simple Method for Evaluating the Factual Consistency in Abstractive Summarization.

Yiyang Li, Lei Li, Qing Yang, Marina Litvak, Natalia Vanetik, Dingxin Hu, Yuze Li, Yanquan Zhou, Dongliang Xu, Xuanyu Zhang

CoRR, 2022

TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation.

Xuanyu Zhang, Qing Yang, Dongliang Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Instance-Guided Prompt Learning for Few-Shot Text Matching.

Jia Du, Xuanyu Zhang, Siyi Wang, Kai Wang, Yanquan Zhou, Lei Li, Qing Yang, Dongliang Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DeepVT: Deep View-Temporal Interaction Network for News Recommendation.

Xuanyu Zhang, Qing Yang, Dongliang Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ExpertBert: Pretraining Expert Finding.

Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Non-sampling Expert Finding.

Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Combining Explicit Entity Graph with Implicit Text Information for News Recommendation.

Xuanyu Zhang, Qing Yang, Dongliang Xu

Proceedings of the Companion of The Web Conference 2021, 2021

Position-Augmented Transformers with Entity-Aligned Mesh for TextVQA.

Xuanyu Zhang, Qing Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking.

Xuanyu Zhang, Qing Yang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021