Yiwen Ding

According to our database, Yiwen Ding authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending Topics.

Keyang Ding, Chuang Fan, Yiwen Ding, Qianlong Wang, Zhiyuan Wen, Jing Li, Ruifeng Xu

IEEE Trans. Comput. Soc. Syst., June, 2024

AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains.

Lei Fan, Dongdong Fan, Yiwen Ding, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song

IEEE Robotics Autom. Lett., January, 2024

Defeasible Reasoning on Concepts.

Yiwen Ding, Krishna Manoorkar, Ni Wayan Switrayni, Ruoding Wang

CoRR, 2024

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.

Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Dingwen Yang, Chenyang Liao, Xin Guo, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang

CoRR, 2024

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration.

Jun Zhao, Can Zu, Hao Xu, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2024

An annotated grain kernel image database for visual quality inspection.

Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song

CoRR, 2024

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models.

Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang

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

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.

Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration.

Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang

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

2023

The Rise and Potential of Large Language Model Based Agents: A Survey.

Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Tao Gui

CoRR, 2023

Causal Kripke Models.

Yiwen Ding, Krishna Manoorkar, Apostolos Tzimoulis, Ruoding Wang, Xiaolong Wang

Proceedings of the Proceedings Nineteenth conference on Theoretical Aspects of Rationality and Knowledge, 2023

Voices of Her: Analyzing Gender Differences in the AI Publication World.

Yiwen Ding, Jiarui Liu, Zhiheng Lyu, Kun Zhang, Bernhard Schölkopf, Zhijing Jin, Rada Mihalcea

CoRR, 2023

Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection.

Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Logical Fallacy Detection.

Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf

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

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains.

Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC.

Yiwen Ding, Ye Wang, Lihong Cao

Frontiers Comput. Neurosci., 2021

Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA.

Yiwen Ding, Wenlong Fu, Lihong Cao

Proceedings of the 21st International Conference on Communication Technology, 2021