Qing Yang - RankMe

60 papers A* 12A 6B 2Journal 24Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Survey on LLM-powered Agents for Recommender Systems. EMNLP (Findings) Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang, Minglai Shao
2025	J	`jnl`	A Survey on LLM-powered Agents for Recommender Systems. CoRR Qiyao Peng, Hongtao Liu, Hua Huang, Qing Yang, Minglai Shao
2025	A*	`conf`	Beyond Fixed Length: Bucket Pre-training is All You Need. IJCAI Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu
2025	—	`conf`	Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. ACL (1) 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
2025	J	`jnl`	Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. CoRR 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
2025	B	`conf`	CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. COLING Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2025	B	`conf`	Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback. COLING Xuanyu Zhang, Qing Yang
2025	—	`conf`	FinMoE: A MoE-based Large Chinese Financial Language Model. COLING Workshops Xuanyu Zhang, Qing Yang
2025	J	`jnl`	StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models. ACM Trans. Multim. Comput. Commun. Appl. Mohan Zhou, Yalong Bai, Qing Yang, Tiejun Zhao
2025	—	`conf`	Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling. ACL (1) Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu
2024	A*	`conf`	Advancing Large Language Model Attribution through Self-Improving. EMNLP Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024	J	`jnl`	Advancing Large Language Model Attribution through Self-Improving. CoRR Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024	J	`jnl`	Bucket Pre-training is All You Need. CoRR Hongtao Liu, Qiyao Peng, Qing Yang, Kai Liu, Hongyan Xu
2024	A*	`conf`	CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-Driven Video Editing. CVPR Guiwei Zhang, Tianyu Zhang, Guanglin Niu, Zichang Tan, Yalong Bai, Qing Yang
2024	J	`jnl`	CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. CoRR Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2024	J	`jnl`	DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. CoRR Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2024	A*	`conf`	Dynamic Prompt Optimizing for Text-to-Image Generation. CVPR Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang
2024	J	`jnl`	Dynamic Prompt Optimizing for Text-to-Image Generation. CoRR Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang
2024	A*	`conf`	Extending Context Window of Large Language Models from a Distributional Perspective. EMNLP Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024	J	`jnl`	Extending Context Window of Large Language Models from a Distributional Perspective. CoRR Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024	A*	`conf`	GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. EMNLP Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024	J	`jnl`	GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. CoRR Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024	A*	`conf`	How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers. NeurIPS Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu
2024	—	`conf`	Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning. LREC/COLING 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
2024	—	`conf`	Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. EMNLP (Findings) Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu
2024	A*	`conf`	Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training. EMNLP Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2024	J	`jnl`	Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training. CoRR Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2024	J	`jnl`	Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024	A*	`conf`	Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. NeurIPS Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024	A*	`conf`	MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability. NeurIPS Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
2024	J	`jnl`	MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. CoRR Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
2024	J	`jnl`	MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages. CoRR Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che
2024	A*	`conf`	Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts. EMNLP Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2024	J	`jnl`	Review-LLM: Harnessing Large Language Models for Personalized Review Generation. CoRR Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang
2024	—	`conf`	SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. ACL (1) Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2024	J	`jnl`	Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models. CoRR Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che
2024	—	`conf`	SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin
2024	J	`jnl`	StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models. CoRR Yalong Bai, Mohan Zhou, Qing Yang
2024	J	`jnl`	Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling. CoRR Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2023	—	`conf`	Adaptive Attention for Sparse-based Long-sequence Transformer. ACL (Findings) Xuanyu Zhang, Zhepeng Lv, Qing Yang
2023	J	`jnl`	CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains. CoRR Xuanyu Zhang, Bingbing Li, Qing Yang
2023	—	`conf`	Contrastive Pre-training for Personalized Expert Finding. EMNLP (Findings) Qiyao Peng, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
2023	—	`conf`	Generating Extractive Answers: Gated Recurrent Memory Reader for Conversational Question Answering. EMNLP (Findings) Xuanyu Zhang, Qing Yang
2023	—	`conf`	PUNR: Pre-training with User Behavior Modeling for News Recommendation. EMNLP (Findings) Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu
2023	J	`jnl`	PUNR: Pre-training with User Behavior Modeling for News Recommendation. CoRR Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu
2023	—	`conf`	Pre-trained Personalized Review Summarization with Effective Salience Estimation. ACL (Findings) Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
2023	J	`jnl`	Self-QA: Unsupervised Knowledge Guided Language Model Alignment. CoRR Xuanyu Zhang, Qing Yang
2023	A	`conf`	Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. CIKM Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang
2023	A	`conf`	XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters. CIKM Xuanyu Zhang, Qing Yang
2023	J	`jnl`	XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters. CoRR Xuanyu Zhang, Qing Yang, Dongliang Xu
2022	A	`conf`	DeepVT: Deep View-Temporal Interaction Network for News Recommendation. CIKM Xuanyu Zhang, Qing Yang, Dongliang Xu
2022	A	`conf`	Efficient Non-sampling Expert Finding. CIKM Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng
2022	A	`conf`	ExpertBert: Pretraining Expert Finding. CIKM Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng
2022	—	`conf`	Instance-Guided Prompt Learning for Few-Shot Text Matching. EMNLP (Findings) Jia Du, Xuanyu Zhang, Siyi Wang, Kai Wang, Yanquan Zhou, Lei Li, Qing Yang, Dongliang Xu
2022	J	`jnl`	Just ClozE! A Fast and Simple Method for Evaluating the Factual Consistency in Abstractive Summarization. CoRR Yiyang Li, Lei Li, Qing Yang, Marina Litvak, Natalia Vanetik, Dingxin Hu, Yuze Li, Yanquan Zhou, Dongliang Xu, Xuanyu Zhang
2022	—	`conf`	TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation. EMNLP (Findings) Xuanyu Zhang, Qing Yang, Dongliang Xu
2022	J	`jnl`	TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation. CoRR Xuanyu Zhang, Qing Yang, Dongliang Xu
2021	—	`conf`	Combining Explicit Entity Graph with Implicit Text Information for News Recommendation. WWW (Companion Volume) Xuanyu Zhang, Qing Yang, Dongliang Xu
2021	A	`conf`	DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking. CIKM Xuanyu Zhang, Qing Yang
2021	A*	`conf`	Position-Augmented Transformers with Entity-Aligned Mesh for TextVQA. ACM Multimedia Xuanyu Zhang, Qing Yang