Shansan Gong - RankMe

33 papers A* 8Journal 20Unranked 5

Year	Rank	Type	Title / 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
2026	J	`jnl`	OVD: On-policy Verbal Distillation. CoRR Jing Xiong, Hui Shen, Shansan Gong, Yuxin Cheng, Jianghan Shen, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Ngai Wong
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`	Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling. CoRR Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang
2025	—	`conf`	Design Choices for Extending the Context Length of Visual Language Models. ACL (1) Mukai Li, Lei Li, Shansan Gong, Qi Liu
2025	J	`jnl`	DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. CoRR Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang
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	J	`jnl`	EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving. CoRR Mukai Li, Linfeng Song, Zhenwen Liang, Jiahao Xu, Shansan Gong, Qi Liu, Haitao Mi, Dong Yu
2025	A*	`conf`	Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition. EMNLP Chenxin An, Zhihui Xie, Xiaonan Li, Ming Zhong, Shansan Gong, Lei Li, Jun Zhang, Jingjing Xu, 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
2025	A*	`conf`	Why Does the Effective Context Length of LLMs Fall Short? ICLR Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong
2024	—	`conf`	BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. ACL (Findings) Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong
2024	J	`jnl`	BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. CoRR Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong
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`	GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models. CoRR Mukai Li, Lei Li, Shansan Gong, Qi Liu
2024	—	`conf`	L-Eval: Instituting Standardized Evaluation for Long Context Language Models. ACL (1) Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
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
2024	A*	`conf`	Training-Free Long-Context Scaling of Large Language Models. ICML Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
2024	J	`jnl`	Training-Free Long-Context Scaling of Large Language Models. CoRR Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
2024	J	`jnl`	Why Does the Effective Context Length of LLMs Fall Short? CoRR Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong
2023	—	`conf`	DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. EMNLP (Findings) Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
2023	J	`jnl`	DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. CoRR Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
2023	A*	`conf`	DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. ICLR Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
2023	J	`jnl`	In-Context Learning with Many Demonstration Examples. CoRR Mukai Li, Shansan Gong, Jiangtao Feng, Yiheng Xu, Jun Zhang, Zhiyong Wu, Lingpeng Kong
2023	J	`jnl`	L-Eval: Instituting Standardized Evaluation for Long Context Language Models. CoRR Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
2023	—	`conf`	Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization. ACL (industry) Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu
2022	J	`jnl`	DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. CoRR Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
2022	J	`jnl`	Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration. CoRR Kaijian Li, Shansan Gong, Kenny Q. Zhu
2022	A*	`conf`	Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation. SIGIR Shansan Gong, Kenny Q. Zhu
2022	J	`jnl`	Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation. CoRR Shansan Gong, Kenny Q. Zhu