Yongliang Shen

According to our database, Yongliang Shen authored at least 33 papers between 2020 and 2024.

Collaborative distances:

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

2024

Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization.

Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu

CoRR, 2024

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction.

Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang

CoRR, 2024

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives.

Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu

CoRR, 2024

2023

TaskBench: Benchmarking Large Language Models for Task Automation.

Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang

CoRR, 2023

Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow.

Wenqi Zhang, Yongliang Shen, Weiming Lu, Yueting Zhuang

CoRR, 2023

Taxonomy Completion with Probabilistic Scorer via Box Embedding.

Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu

CoRR, 2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace.

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

CoRR, 2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Expression Tree Decoding Strategy for Mathematical Equation Generation.

Wenqi Zhang, Yongliang Shen, Qingpeng Nong, Zeqi Tan, Yanna Ma, Weiming Lu

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

MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition.

Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu

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

Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization.

Guiyang Hou, Yongliang Shen, Wenqi Zhang, Wei Xue, Weiming Lu

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

A Set Prediction Network For Extractive Summarization.

Xiaoxia Cheng, Yongliang Shen, Weiming Lu

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

PromptNER: Prompt Locating and Typing for Named Entity Recognition.

Yongliang Shen, Zeqi Tan, Shuhui Wu, Wenqi Zhang, Rongsheng Zhang, Yadong Xi, Weiming Lu, Yueting Zhuang

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

DiffusionNER: Boundary Diffusion for Named Entity Recognition.

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

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

2022

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.

Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Minimally-Supervised Relation Induction from Pre-trained Language Model.

Lu Sun, Yongliang Shen, Weiming Lu

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

A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation.

Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu

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

Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition.

Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu

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

Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.

Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu

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

Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem.

Wenqi Zhang, Yongliang Shen, Yanna Ma, Xiaoxia Cheng, Zeqi Tan, Qingpeng Nong, Weiming Lu

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

Query-based Instance Discrimination Network for Relational Triple Extraction.

Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang

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

Towards Data-Efficient Detection Transformers.

Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022

Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction.

Xinyu Zhu, Yongliang Shen, Weiming Lu

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

De-Bias for Generative Extraction in Unified NER Task.

Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, Weiming Lu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Parallel Instance Query Network for Named Entity Recognition.

Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction.

Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data.

Chenghao Jia, Yongliang Shen, Yechun Tang, Lu Sun, Weiming Lu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Sequence-to-Set Network for Nested Named Entity Recognition.

Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition.

Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu

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

2020

Boosting Cross-lingual Entity Alignment with Textual Embedding.

Wei Xu, Chen Chen, Chenghao Jia, Yongliang Shen, Xinyin Ma, Weiming Lu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network.

Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SynET: Synonym Expansion using Transitivity.

Jiale Yu, Yongliang Shen, Xinyin Ma, Chenghao Jia, Chen Chen, Weiming Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Adversarial Self-Supervised Data-Free Distillation for Text Classification.

Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020