Qitan Lv

According to our database, Qitan Lv authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training.

Qitan Lv, Hong Wang, Zhongkai Hao, Wen Wu, Xuenan Xu, Bowen Zhou, Feng Wu, Chao Zhang

CoRR, May, 2026

HIPPO: Accelerating Video Large Language Models Inference via Holistic-aware Parallel Speculative Decoding.

Qitan Lv, Tianyu Liu, Wen Wu, Xuenan Xu, Bowen Zhou, Feng Wu, Chao Zhang

CoRR, January, 2026

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning.

Qitan Lv, Tianyu Liu, Qiaosheng Zhang, Xingcheng Xu, Chaochao Lu

CoRR, January, 2026

TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees.

Tianyu Liu, Qitan Lv, Yuhao Shen, Xiao Sun, Xiaoyan Sun

CoRR, January, 2026

2025

SciTS: Scientific Time Series Understanding and Generation with LLMs.

Wen Wu, Ziyang Zhang, Liwei Liu, Xuenan Xu, Junlin Liu, Ke Fan, Qitan Lv, Jimin Zhuang, Chen Zhang, Zheqi Yuan, Siyuan Hou, Tianyi Lin, Kai Chen, Bowen Zhou, Chao Zhang

CoRR, October, 2025

LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation.

Tianyu Liu, Qitan Lv, Hao Li, Xing Gao, Xiao Sun

CoRR, July, 2025

Exploiting Edited Large Language Models as General Scientific Optimizers.

Qitan Lv, Tianyu Liu, Hong Wang

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

PEARL: Parallel Speculative Decoding with Adaptive Draft Length.

Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu, Xiao Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models.

Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs.

Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye

CoRR, 2024

Parallel Speculative Decoding with Adaptive Draft Length.

Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu

CoRR, 2024

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models.

Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph.

Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction.

Jie Wang, Hanzhu Chen, Qitan Lv, Zhihao Shi, Jiajun Chen, Huarui He, Hongtao Xie, Yongdong Zhang, Feng Wu

CoRR, 2023

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction.

Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023