Jingying Zeng

According to our database, Jingying Zeng authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks.

Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang

CoRR, August, 2025

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary.

Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang

CoRR, July, 2025

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems.

Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He

CoRR, June, 2025

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu

CoRR, June, 2025

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce.

Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zheng Li, Qi He, Xianfeng Tang

CoRR, March, 2025

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents.

Jingying Zeng, Hui Liu, Zhenwei Dai, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He

CoRR, March, 2025

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities.

Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang

CoRR, February, 2025

A General Framework to Enhance Fine-tuning-based LLM Unlearning.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He

CoRR, February, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He

CoRR, February, 2025

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce.

Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A General Framework to Enhance Fine-tuning-based LLM Unlearning.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Survey of Calibration Process for Black-Box LLMs.

Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He

CoRR, 2024

Large Language Models for Social Networks: Applications, Challenges, and Solutions.

Jingying Zeng, Richard Huang, Waleed Malik, Langxuan Yin, Bojan Babic, Danny Shacham, Xiao Yan, Jaewon Yang, Qi He

CoRR, 2024

Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs.

Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong, Tarek F. Abdelzaher

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023

Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling.

Jingying Zeng, Jaewon Yang, Waleed Malik, Xiao Yan, Richard Huang, Qi He

CoRR, 2023