Kai Sun

According to our database, Kai Sun authored at least 42 papers between 2016 and 2026.

Collaborative distances:

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

2026

Pixel-Grounded Retrieval for Knowledgeable Large Multimodal Models.

Jeonghwan Kim, Renjie Tao, Sanat Sharma, Jiaqi Wang, Kai Sun, Zhaojiang Lin, Seungwhan Moon, Lambert Mathias, Anuj Kumar, Heng Ji, Xin Luna Dong

CoRR, January, 2026

WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables.

Zhaojiang Lin, Yong Xu, Kai Sun, Jing Zheng, Yin Huang, Surya Teja Appini, Krish Narang, Renjie Tao, Ishan Kapil Jain, Siddhant Arora, Ruizhi Li, Yiteng Huang, Kaushik Patnaik, Wenfang Xu, Suwon Shon, Yue Liu, Ahmed Aly, Anuj Kumar, Florian Metze, Xin Luna Dong

CoRR, January, 2026

Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?

Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark.

Jiaqi Wang, Xiao Yang, Kai Sun, Parth Suresh, Sanat Sharma, Adam Czyzewski, Derek Andersen, Surya Teja Appini, Arkav Banerjee, Sajal Choudhary, Shervin Ghasemlou, Ziqiang Guan, Akil Iyer, Haidar Khan, Lingkun Kong, Roy Luo, Tiffany Ma, Zhen Qiao, David Tran, Wenfang Xu, Skyler Yeatman, Chen Zhou, Gunveer Gujral, Yinglong Xia, Shane Moon, Nicolas Scheffer, Nirav Shah, Eun Chang, Yue Liu, Florian Metze, Tammy Stark, Zhaleh Feizollahi, Andrea Jessee, Mangesh Pujari, Ahmed Aly, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Wen-tau Yih, Xin Luna Dong

CoRR, October, 2025

AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval.

Kai Zhang, Xinyuan Zhang, Ejaz Ahmed, Hongda Jiang, Caleb Kumar, Kai Sun, Zhaojiang Lin, Sanat Sharma, Shereen Oraby, Aaron Colak, Ahmed Aly, Anuj Kumar, Xiaozhong Liu, Xin Luna Dong

CoRR, October, 2025

Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage.

Siddhant Arora, Haidar Khan, Kai Sun, Xin Luna Dong, Sajal Choudhary, Seungwhan Moon, Xinyuan Zhang, Adithya Sagar, Surya Teja Appini, Kaushik Patnaik, Sanat Sharma, Shinji Watanabe, Anuj Kumar, Ahmed Aly, Yue Liu, Florian Metze, Zhaojiang Lin

CoRR, October, 2025

SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning.

Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

CoRR, October, 2025

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning.

Zhepei Wei, Xiao Yang, Kai Sun, Jiaqi Wang, Rulin Shao, Sean Chen, Mohammad Kachuee, Teja Gollapudi, Tony Liao, Nicolas Scheffer, Rakesh Wanga, Anuj Kumar, Yu Meng, Wen-tau Yih, Xin Luna Dong

CoRR, September, 2025

Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning.

Derin Cayir, Renjie Tao, Rashi Rungta, Kai Sun, Sean Chen, Haidar Khan, Minseok Kim, Julia Reinspach, Yue Liu

CoRR, August, 2025

ConfQA: Answer Only If You Are Confident.

Yin Huang, Yifan Ethan Xu, Kai Sun, Vera Yan, Alicia Sun, Haidar Khan, Jimmy Nguyen, Mohammad Kachuee, Zhaojiang Lin, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

CoRR, June, 2025

KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering.

Yushi Sun, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen

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

PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning.

Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Are Large Language Models a Good Replacement of Taxonomies?

Yushi Sun, Xin Hao, Kai Sun, Yifan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen

Proc. VLDB Endow., July, 2024

KDD Cup CRAG competition: Systems, Findings and Learnings.

Xiao Yang, Yifan Ethan Xu, Kai Sun, Jiaqi Wang, Lingkun Kong, Wen-tau Yih, Xin Luna Dong

IEEE Data Eng. Bull., 2024

Letter from the Special Issue Editor.

Xin Luna Dong, Meng Jiang, Kai Sun, Xiao Yang

IEEE Data Eng. Bull., 2024

VisualLens: Personalization through Visual History.

Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, Mustafa Canim, Yue Liu, Anuj Kumar, Xin Luna Dong

CoRR, 2024

Are Large Language Models a Good Replacement of Taxonomies?

Yushi Sun, Hao Xin, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen

CoRR, 2024

CRAG - Comprehensive RAG Benchmark.

Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

CoRR, 2024

CRAG - Comprehensive RAG Benchmark.

Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Scott Yih, Xin Dong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?

Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong

CoRR, 2023

2022

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge.

Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Machine Reading Comprehension: Challenges and Approaches.

Kai Sun

PhD thesis, 2021

Adding Chit-Chat to Enhance Task-Oriented Dialogues.

Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data.

Dian Yu, Kai Sun, Dong Yu, Claire Cardie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension.

Kai Sun, Dian Yu, Dong Yu, Claire Cardie

Trans. Assoc. Comput. Linguistics, 2020

Adding Chit-Chats to Enhance Task-Oriented Dialogues.

Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie

CoRR, 2020

CLUE: A Chinese Language Understanding Evaluation Benchmark.

Liang Xu, Xuanwei Zhang, Lu Li, Hai Hu, Chenjie Cao, Weitang Liu, Junyi Li, Yudong Li, Kai Sun, Yechen Xu, Yiming Cui, Cong Yu, Qianqian Dong, Yin Tian, Dian Yu, Bo Shi, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Zhenzhong Lan

CoRR, 2020

CLUE: A Chinese Language Understanding Evaluation Benchmark.

Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Dialogue-Based Relation Extraction.

Dian Yu, Kai Sun, Claire Cardie, Dong Yu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension.

Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie

Trans. Assoc. Comput. Linguistics, 2019

Improving Pre-Trained Multilingual Models with Vocabulary Expansion.

Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu

CoRR, 2019

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data.

Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu

CoRR, 2019

Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension.

Kai Sun, Dian Yu, Dong Yu, Claire Cardie

CoRR, 2019

Improving Question Answering with External Knowledge.

Xiaoman Pan, Kai Sun, Dian Yu, Heng Ji, Dong Yu

CoRR, 2019

Improving Machine Reading Comprehension with General Reading Strategies.

Kai Sun, Dian Yu, Dong Yu, Claire Cardie

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Evidence Sentence Extraction for Machine Reading Comprehension.

Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Improving Pre-Trained Multilingual Model with Vocabulary Expansion.

Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Improving Question Answering with External Knowledge.

Xiaoman Pan, Kai Sun, Dian Yu, Jianshu Chen, Heng Ji, Claire Cardie, Dong Yu

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2017

Cornell Belief and Sentiment System at TAC 2017.

Kai Sun, Claire Cardie

Proceedings of the 2017 Text Analysis Conference, 2017

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.

Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme

Proceedings of the 2017 Text Analysis Conference, 2017

2016

Cornell Belief and Sentiment System at TAC 2016.

Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie

Proceedings of the 2016 Text Analysis Conference, 2016