Shansan Gong

According to our database, Shansan Gong authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models.

Mukai Li, Lei Li, Shansan Gong, Qi Liu

CoRR, 2024

Why Does the Effective Context Length of LLMs Fall Short?

Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong

CoRR, 2024

Scaling Diffusion Language Models via Adaptation from Autoregressive Models.

Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong

CoRR, 2024

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.

Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

CoRR, 2024

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models.

Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong

CoRR, 2024

Training-Free Long-Context Scaling of Large Language Models.

Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

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

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models.

Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong

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

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu

CoRR, 2023

In-Context Learning with Many Demonstration Examples.

Mukai Li, Shansan Gong, Jiangtao Feng, Yiheng Xu, Jun Zhang, Zhiyong Wu, Lingpeng Kong

CoRR, 2023

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models.

Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

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

Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization.

Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration.

Kaijian Li, Shansan Gong, Kenny Q. Zhu

CoRR, 2022

Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation.

Shansan Gong, Kenny Q. Zhu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022