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2020 – today
- 2026
[j1]Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou:
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data. Trans. Mach. Learn. Res. 2026 (2026)- [c4]Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Ben Hu:
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. ACL (Findings) 2026: 16836-16858 - [i8]Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou:
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data. CoRR abs/2601.17717 (2026) - [i7]Sahil Joshi, Agniva Chowdhury, Wyatt Bellinger, Amar Kanakamedala, Ekam Singh, Hoang Anh Duy Le, Aditya Desai, Anshumali Shrivastava:
SOCKET: SOft Collison Kernel EsTimator for Sparse Attention. CoRR abs/2602.06283 (2026) - [i6]Hoang Anh Duy Le, Sahil Joshi, Zeyu Yang, Zhaozhuo Xu, Anshumali Shrivastava:
Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference. CoRR abs/2602.07397 (2026) - [i5]Zicheng Xu, Ruixuan Zhang, Yu-Neng Chuang, Xiuyi Lou, Hoang Anh Duy Le, Oren Gal, Alexander S. Szalay, Zhaozhuo Xu, Guanchu Wang, Vladimir Braverman:
Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning. CoRR abs/2606.22305 (2026) - [i4]Duc Duong, Hoang Anh Duy Le, Jianwen Xie, Anshumali Shrivastava, Zhaozhuo Xu:
Forget Without Compromise: Nexus Sampling for Streaming KV-Cache Eviction Under Fixed Budgets. CoRR abs/2606.23961 (2026) - [i3]Xiuyi Lou, Zicheng Xu, Yu-Neng Chuang, Hoang Anh Duy Le, Zhaozhuo Xu, Guanchu Wang, Vladimir Braverman:
When Implausible Tokens Get Reinforced: Tail-Aware Credit Calibration for LLM Reinforcement Learning. CoRR abs/2607.07976 (2026) - 2025
- [c3]Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu:
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. ACL (Findings) 2025: 13623-13639 - [c2]Wenya Xie
, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu:
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. EMNLP 2025: 33588-33598 - [c1]Jiamu Zhang, Shaochen Zhong, Hoang Anh Duy Le, Xia Hu:
In-Progress: Structured Pruning in the Wild: Benchmarking Practical Robustness Under Real-World Corruptions. SP (Workshops) 2025: 370-373 - [i2]Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu:
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. CoRR abs/2505.22662 (2025) - [i1]Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu:
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. CoRR abs/2511.00536 (2025)
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