Jiacheng Ye

53 papers A* 13Journal 28Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas.
CoRR
Zirui Wu, Lin Zheng, Zhihui Xie, Jiacheng Ye, Jiahui Gao, Shansan Gong, Yansong Feng, Zhenguo Li, Wei Bi, Guorui Zhou, Lingpeng Kong
2025 A* conf
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.
ICLR
Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 J jnl
Dream 7B: Diffusion Large Language Models.
CoRR
Jiacheng Ye, Zhihui Xie, Lin Zheng, Jiahui Gao, Zirui Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 J jnl
Dream-Coder 7B: An Open Diffusion Language Model for Code.
CoRR
Zhihui Xie, Jiacheng Ye, Lin Zheng, Jiahui Gao, Jingwei Dong, Zirui Wu, Xueliang Zhao, Shansan Gong, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 J jnl
Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone.
CoRR
Jiacheng Ye, Shansan Gong, Jiahui Gao, Junming Fan, Shuang Wu, Wei Bi, Haoli Bai, Lifeng Shang, Lingpeng Kong
2025 A* conf
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
ICLR
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
2025 A* conf
Implicit Search via Discrete Diffusion: A Study on Chess.
ICLR
Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 J jnl
Implicit Search via Discrete Diffusion: A Study on Chess.
CoRR
Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
2025 A* conf
Scaling Diffusion Language Models via Adaptation from Autoregressive Models.
ICLR
Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2024 — conf
A Stochastic Analog SAT Solver in 65nm CMOS Achieving 6.6μs Average Solution Time with 100% Solvability for Hard 3-SAT Problems.
VLSI Technology and Circuits
Qiaochu Zhang, Shiyu Su, Zerui Liu, Hsiang-Chun Cheng, Zhengyi Qiu, Mayank Palaria, Jiacheng Ye, Deming Meng, Buyun Chen, Sushmit Hossain, Wei Wu, Mike Shuo-Wei Chen
2024 J jnl
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.
CoRR
Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong
2024 A* conf
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models.
NeurIPS
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong
2024 J jnl
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models.
CoRR
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong
2024 J jnl
Leaky Cable Perimeter Intrusion Detection Based on Deep Reinforcement Learning.
IEEE Internet Things J.
Jiacheng Ye, Junshi Lv, Gaoming Xu, Taijun Liu
2024 — conf
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA.
ACL (1)
Sheng Wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu
2024 J jnl
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA.
CoRR
Sheng Wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu
2024 J jnl
Scaling Diffusion Language Models via Adaptation from Autoregressive Models.
CoRR
Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2023 A* conf
Compositional Exemplars for In-context Learning.
ICML
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong
2023 J jnl
Compositional Exemplars for In-context Learning.
CoRR
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong
2023 J jnl
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
CoRR
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
2023 A* conf
Generating Data for Symbolic Language with Large Language Models.
EMNLP
Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu
2023 J jnl
Generating Data for Symbolic Language with Large Language Models.
CoRR
Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu
2023 J jnl
Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability.
CoRR
Jiacheng Ye, Xijia Tao, Lingpeng Kong
2023 — conf
OpenICL: An Open-Source Framework for In-context Learning.
ACL (demo)
Zhenyu Wu, Yaoxiang Wang, Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Jingjing Xu, Yu Qiao
2023 J jnl
OpenICL: An Open-Source Framework for In-context Learning.
CoRR
Zhenyu Wu, Yaoxiang Wang, Jiacheng Ye, Jiangtao Feng, Jingjing Xu, Yu Qiao, Zhiyong Wu
2023 — conf
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.
ACL (1)
Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong
2023 A* conf
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.
ICLR
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
2023 J jnl
Validation of the Ocean Wave Spectrum from the Remote Sensing Data of the Chinese-French Oceanography Satellite.
Remote. Sens.
Songlin Li, Huaming Yu, Kejian Wu, Xunqiang Yin, Shuyan Lang, Jiacheng Ye
2022 — conf
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback.
EMNLP (Findings)
Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong
2022 J jnl
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback.
CoRR
Jiacheng Ye, Jiahui Gao, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
2022 J jnl
Self-adaptive In-context Learning.
CoRR
Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong
2022 J jnl
Uncertainty-Aware Sequence Labeling.
IEEE ACM Trans. Audio Speech Lang. Process.
Jiacheng Ye, Xiang Zhou, Xiaoqing Zheng, Tao Gui, Qi Zhang
2022 J jnl
ZeroGen
CoRR
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
2022 A* conf
ZeroGen: Efficient Zero-shot Learning via Dataset Generation.
EMNLP
Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
2022 J jnl
ZeroGen: Efficient Zero-shot Learning via Dataset Generation.
CoRR
Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
2021 A* conf
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning.
NeurIPS
Nathaniel Lahn, Sharath Raghvendra, Jiacheng Ye
2021 — conf
Heterogeneous Graph Neural Networks for Keyphrase Generation.
EMNLP (1)
Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang
2021 J jnl
Heterogeneous Graph Neural Networks for Keyphrase Generation.
CoRR
Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang
2021 — conf
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning.
EMNLP (Findings)
Yichao Luo, Yige Xu, Jiacheng Ye, Xipeng Qiu, Qi Zhang
2021 J jnl
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning.
CoRR
Yichao Luo, Yige Xu, Jiacheng Ye, Xipeng Qiu, Qi Zhang
2021 — conf
One2Set: Generating Diverse Keyphrases as a Set.
ACL/IJCNLP (1)
Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang
2021 J jnl
One2Set: Generating Diverse Keyphrases as a Set.
CoRR
Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang
2021 — conf
Question answering algorithm based on deep learning.
EITCE
Liangyu Nie, Jiacheng Ye
2021 — conf
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
ACL (demo)
Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang
2021 J jnl
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR
Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang
2020 A* conf
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with
AAAI
Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang
2020 — conf
Design of a Mixed Reality Based System for Multimedia Content Presentation.
VR Workshops
Nanxi Chen, Ajit Sarkaar, Jooyoung Whang, Jackson Wonderly, Jiacheng Ye, Denis Gracanin
2020 A* conf
Leveraging Document-Level Label Consistency for Named Entity Recognition.
IJCAI
Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang
2020 — conf
Uncertainty-Aware Label Refinement for Sequence Labeling.
EMNLP (1)
Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang
2020 J jnl
Uncertainty-Aware Label Refinement for Sequence Labeling.
CoRR
Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang
2019 J jnl
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.
CoRR
Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang
2019 A* conf
Re-ID Driven Localization Refinement for Person Search.
ICCV
Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang
2019 J jnl
Re-ID Driven Localization Refinement for Person Search.
CoRR
Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang