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2020 – today
- 2025
[c12]Mukai Li, Lei Li, Shansan Gong, Qi Liu:
Design Choices for Extending the Context Length of Visual Language Models. ACL (1) 2025: 33425-33438- [c11]Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong:
Why Does the Effective Context Length of LLMs Fall Short? ICLR 2025 - [c10]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. ICLR 2025 - [c9]Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. ICLR 2025 - [i18]Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang:
DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. CoRR abs/2506.20639 (2025) - [i17]Zhihui Xie, Jiacheng Ye, Lin Zheng, Jiahui Gao, Jingwei Dong, Zirui Wu, Xueliang Zhao, Shansan Gong, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Dream-Coder 7B: An Open Diffusion Language Model for Code. CoRR abs/2509.01142 (2025) - [i16]Mukai Li, Linfeng Song, Zhenwen Liang, Jiahao Xu, Shansan Gong, Qi Liu, Haitao Mi, Dong Yu:
EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving. CoRR abs/2509.12603 (2025) - [i15]Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang:
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling. CoRR abs/2510.01329 (2025) - [i14]Jiacheng Ye, Shansan Gong, Jiahui Gao, Junming Fan, Shuang Wu, Wei Bi, Haoli Bai, Lifeng Shang, Lingpeng Kong:
Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone. CoRR abs/2512.22615 (2025) - 2024
- [c8]Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong:
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. ACL (Findings) 2024: 7255-7279 - [c7]Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu:
L-Eval: Instituting Standardized Evaluation for Long Context Language Models. ACL (1) 2024: 14388-14411 - [c6]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. ICML 2024 - [c5]Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong:
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models. NeurIPS 2024 - [i13]Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong:
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models. CoRR abs/2402.07754 (2024) - [i12]Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong:
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. CoRR abs/2402.13577 (2024) - [i11]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. CoRR abs/2402.17463 (2024) - [i10]Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. CoRR abs/2410.14157 (2024) - [i9]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR abs/2410.17891 (2024) - [i8]Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong:
Why Does the Effective Context Length of LLMs Fall Short? CoRR abs/2410.18745 (2024) - [i7]Mukai Li, Lei Li, Shansan Gong, Qi Liu:
GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models. CoRR abs/2412.12735 (2024) - 2023
- [c4]Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu:
Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization. ACL (industry) 2023: 476-486 - [c3]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. EMNLP (Findings) 2023: 9868-9875 - [c2]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. ICLR 2023 - [i6]Mukai Li, Shansan Gong, Jiangtao Feng, Yiheng Xu, Jun Zhang, Zhiyong Wu, Lingpeng Kong:
In-Context Learning with Many Demonstration Examples. CoRR abs/2302.04931 (2023) - [i5]Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu:
L-Eval: Instituting Standardized Evaluation for Long Context Language Models. CoRR abs/2307.11088 (2023) - [i4]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. CoRR abs/2310.05793 (2023) - 2022
- [c1]Shansan Gong
, Kenny Q. Zhu:
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation. SIGIR 2022: 1185-1195 - [i3]Shansan Gong, Kenny Q. Zhu:
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation. CoRR abs/2205.06058 (2022) - [i2]Kaijian Li, Shansan Gong, Kenny Q. Zhu:
Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration. CoRR abs/2205.10593 (2022) - [i1]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. CoRR abs/2210.08933 (2022)
Coauthor Index
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