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Qitan Lv
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2020 – today
- 2026
- [i11]Tianyu Liu, Qitan Lv, Yuhao Shen, Xiao Sun, Xiaoyan Sun:
TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees. CoRR abs/2601.07353 (2026) - [i10]Qitan Lv, Tianyu Liu, Qiaosheng Zhang, Xingcheng Xu, Chaochao Lu:
KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning. CoRR abs/2601.07430 (2026) - [i9]Qitan Lv, Tianyu Liu, Wen Wu, Xuenan Xu, Bowen Zhou, Feng Wu, Chao Zhang:
HIPPO: Accelerating Video Large Language Models Inference via Holistic-aware Parallel Speculative Decoding. CoRR abs/2601.08273 (2026) - 2025
- [c6]Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye:
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models. ICLR 2025 - [c5]Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu, Xiao Sun:
PEARL: Parallel Speculative Decoding with Adaptive Draft Length. ICLR 2025 - [c4]Qitan Lv, Tianyu Liu, Hong Wang:
Exploiting Edited Large Language Models as General Scientific Optimizers. NAACL (Long Papers) 2025: 5212-5237 - [i8]Qitan Lv, Tianyu Liu, Hong Wang:
Exploiting Edited Large Language Models as General Scientific Optimizers. CoRR abs/2503.09620 (2025) - [i7]Tianyu Liu, Qitan Lv, Hao Li, Xing Gao, Xiao Sun:
LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation. CoRR abs/2507.01449 (2025) - [i6]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:
SciTS: Scientific Time Series Understanding and Generation with LLMs. CoRR abs/2510.03255 (2025) - 2024
- [c3]Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye:
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph. ACL (1) 2024: 4345-4360 - [c2]Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu:
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models. ICML 2024: 33594-33623 - [i5]Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen:
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction. CoRR abs/2408.07088 (2024) - [i4]Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu:
Parallel Speculative Decoding with Adaptive Draft Length. CoRR abs/2408.11850 (2024) - [i3]Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye:
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs. CoRR abs/2410.02811 (2024) - [i2]Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu:
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models. CoRR abs/2410.15116 (2024) - 2023
- [c1]Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen:
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction. NeurIPS 2023 - [i1]Jie Wang, Hanzhu Chen, Qitan Lv, Zhihao Shi, Jiajun Chen, Huarui He, Hongtao Xie, Yongdong Zhang, Feng Wu:
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction. CoRR abs/2309.11528 (2023)
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