Qianglong Chen

According to our database, Qianglong Chen authored at least 28 papers between 2020 and 2024.

Collaborative distances:

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

2024

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.

Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin

CoRR, 2024

Mixed Distillation Helps Smaller Language Models Reason Better.

Chenglin Li, Qianglong Chen, Liangyue Li, Caiyu Wang, Feng Tao, Yicheng Li, Zulong Chen, Yin Zhang

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

Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search.

Chenglin Li, Qianglong Chen, Zhi Li, Feng Tao, Yicheng Li, Hao Chen, Fei Yu, Yin Zhang

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

Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu

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

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.

Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin

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

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.

Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin

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

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.

Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin

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

Knowledge-enhanced Memory Model for Emotional Support Conversation.

Mengzhao Jia, Qianglong Chen, Liqiang Jing, Dawei Fu, Renyu Li

Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

2023

Mixed Distillation Helps Smaller Language Model Better Reasoning.

Chenglin Li, Qianglong Chen, Caiyu Wang, Yin Zhang

CoRR, 2023

Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates.

Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan

CoRR, 2023

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications.

Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu

CoRR, 2023

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu

CoRR, 2023

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu

CoRR, 2023

Large Language Models Are Also Good Prototypical Commonsense Reasoners.

Chenin Li, Qianglong Chen, Yin Zhang, Yifei Zhang, Hongxiang Yao

CoRR, 2023

WYWEB: A NLP Evaluation Benchmark For Classical Chinese.

Bo Zhou, Qianglong Chen, Tianyu Wang, Xiaomi Zhong, Yin Zhang

CoRR, 2023

AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference.

Qianglong Chen, Feng Ji, Feng-Lin Li, Guohai Xu, Ming Yan, Ji Zhang, Yin Zhang

CoRR, 2023

Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning.

Wenjin Wang, Yunqing Hu, Qianglong Chen, Yin Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

WYWEB: A NLP Evaluation Benchmark For Classical Chinese.

Bo Zhou, Qianglong Chen, Xiaomi Zhong, Yin Zhang

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

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering.

Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang

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

2022

ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding.

Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang

CoRR, 2022

Semantic Sentence Composition Reasoning for Multi-Hop Question Answering.

Qianglong Chen

CoRR, 2022

Rethinking the Value of Gazetteer in Chinese Named Entity Recognition.

Qianglong Chen, Xiangji Zeng, Jiangang Zhu, Yin Zhang, Bojia Lin, Yang Yang, Daxin Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

mmLayout: Multi-grained MultiModal Transformer for Document Understanding.

Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning.

Qianglong Chen, Feng-Lin Li, Guohai Xu, Ming Yan, Ji Zhang, Yin Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Continual Few-shot Intent Detection.

Guodun Li, Yuchen Zhai, Qianglong Chen, Xing Gao, Ji Zhang, Yin Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering.

Fu Sun, Feng-Lin Li, Ruize Wang, Qianglong Chen, Xingyi Cheng, Ji Zhang

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

KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference.

Qianglong Chen, Feng Ji, Xiangji Zeng, Feng-Lin Li, Ji Zhang, Haiqing Chen, Yin Zhang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources.

Qianglong Chen, Feng Ji, Haiqing Chen, Yin Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020