Dante Everaert

According to our database, Dante Everaert authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs.

Shenglai Zeng, Tianqi Zheng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo, Monica Xiao Cheng, Hui Liu

CoRR, February, 2026

2025

Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective.

Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

A Product-Aware Query Auto-Completion Framework for E-Commerce Search via Retrieval-Augmented Generation Method.

Fangzheng Sun, Tianqi Zheng, Aakash Kolekar, Rohit Patki, Hossein Khazaei, Xuan Guo, Ziheng Cai, David Liu, Ruirui Li, Yupin Huang, Dante Everaert, Hanqing Lu, Garima Patel Monica Cheng

Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

GIO: Gradient Information Optimization for Training Dataset Selection.

Dante Everaert, Christopher Potts

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Retrieval Augmented Spelling Correction for E-Commerce Applications.

Xuan Guo, Rohit Patki, Dante Everaert, Christopher Potts

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset.

Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024