Mengting Ai

According to our database, Mengting Ai authored at least 12 papers between 2025 and 2026.

Collaborative distances:

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

2026

Heterogeneous Scientific Foundation Model Collaboration.

Zihao Li, Jiaru Zou, Feihao Fang, Xuying Ning, Mengting Ai, Tianxin Wei, Sirui Chen, Xiyuan Yang, Jingrui He

CoRR, April, 2026

MedConceal: A Benchmark for Clinical Hidden-Concern Reasoning Under Partial Observability.

Yikun Han, Joey Chan, Jingyuan Chen, Mengting Ai, Simo Du, Yue Guo

CoRR, April, 2026

MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains.

Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He

CoRR, March, 2026

Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning.

Sirui Chen, Yunzhe Qi, Mengting Ai, Yifan Sun, Ruizhong Qiu, Jiaru Zou, Jingrui He

CoRR, February, 2026

Competing Visions of Ethical AI: A Case Study of OpenAI.

Melissa Wilfley, Mengting Ai, Madelyn Rose Sanfilippo

CoRR, January, 2026

Agentic Reasoning for Large Language Models.

Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He

CoRR, January, 2026

2025

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning.

Jiaru Zou, Ling Yang, Yunzhe Qi, Sirui Chen, Mengting Ai, Ke Shen, Jingrui He, Mengdi Wang

CoRR, December, 2025

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.

Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng

CoRR, November, 2025

NIRVANA: Structured pruning reimagined for large language models compression.

Mengting Ai, Tianxin Wei, Sirui Chen, Jingrui He

CoRR, September, 2025

APEX²: Adaptive and Extreme Summarization for Personalized Knowledge Graphs.

Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.

Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

PyG-SSL: A Graph Self-Supervised Learning Toolkit.

Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025