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Shizhu He
25 papers at tracked venues · 16 at CORE A* · active 2024–2026
DBLP profile ↗
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Venues
ACL
×9
EMNLP
×7
AAAI
×5
NAACL
×2
ICLR
×1
NeurIPS
×1
Frequent coauthors
Kang Liu
×22
Jun Zhao
×20
Huanxuan Liao
×6
Fangyu Lei
×5
Yao Xu
×5
Yiming Huang
×4
Yanchao Hao
×4
Wangtao Sun
×3
Jiabei Chen
×3
Guang Liu
×3
Jianwen Luo
×2
Jinxiang Meng
×2
Papers
GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
BibTeX ⧉
ACL 2026
·
Jianwen Luo
,
Yiming Huang
,
Jinxiang Meng
,
Fangyu Lei
,
Shizhu He
,
Xiao Liu
,
Shanshan Jiang
,
Bin Dong
,
Jun Zhao
,
Kang Liu
Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
BibTeX ⧉
ACL 2026
·
Jinhui Chen
,
Shizhu He
,
Xingchang Yang
,
Huanxuan Liao
,
Yequan Wang
,
Xiangwen Liao
,
Wenhao Teng
,
Kang Liu
,
Jun Zhao
Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning
BibTeX ⧉
ACL 2026
·
Zhu Min
,
Yanchao Hao
,
Jian Liu
,
Shizhu He
,
Xi Chen
Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence
BibTeX ⧉
AAAI 2026
·
Zhaoyang Wei
,
Guoliang Wang
,
Guohua Gao
,
Yanchao Hao
,
Mingda Li
,
Wenchao Ding
,
Xi Chen
,
Shizhu He
,
Xuehui Yu
Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models
BibTeX ⧉
ACL 2026
·
Wangtao Sun
,
Haotian Xu
,
Huanxuan Liao
,
Xuanqing Yu
,
Zhongtao Jiang
,
Shizhu He
,
Jun Zhao
,
Kang Liu
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
BibTeX ⧉
AAAI 2026
·
Huanxuan Liao
,
Yixing Xu
,
Shizhu He
,
Guanchen Li
,
Xuanwu Yin
,
Dong Li
,
Emad Barsoum
,
Jun Zhao
,
Kang Liu
Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs
BibTeX ⧉
ACL 2026
·
Huanxuan Liao
,
Shizhu He
,
Yupu Hao
,
Yequan Wang
,
Wenhao Teng
,
Xiangwen Liao
,
Jun Zhao
,
Kang Liu
TaREx: Reinforcement Learning for Code-Driven Table Reasoning
BibTeX ⧉
AAAI 2026
·
Fangyu Lei
,
Jinxiang Meng
,
Yiming Huang
,
Shizhu He
,
Jun Zhao
,
Kang Liu
HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking
BibTeX ⧉
AAAI 2025
·
Zeyong Zhao
,
Yanchao Hao
,
Minghao Zhang
,
Qingbin Liu
,
Bo Li
,
Dianbo Sui
,
Shizhu He
,
Xi Chen
KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model
BibTeX ⧉
EMNLP 2025
·
Shun Wu
,
Di Wu
,
Wangtao Sun
,
Ziyang Huang
,
Xiaowei Yuan
,
Kun Luo
,
Xueyou Zhang
,
Shizhu He
,
Jun Zhao
,
Kang Liu
LLaSA: Large Language and Structured Data Assistant
BibTeX ⧉
NAACL 2025
·
Yao Xu
,
Shizhu He
,
Jiabei Chen
,
ZengXiangrong ZengXiangrong
,
Bingning Wang
,
Guang Liu
,
Jun Zhao
,
Kang Liu
Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing
BibTeX ⧉
EMNLP 2025
·
Cunli Mao
,
Xiaofei Gao
,
Ran Song
,
Shizhu He
,
Shengxiang Gao
,
Kang Liu
,
Zhengtao Yu
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
BibTeX ⧉
ACL 2025
·
Yuqiao Tan
,
Shizhu He
,
Kang Liu
,
Jun Zhao
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
BibTeX ⧉
AAAI 2025
·
Huanxuan Liao
,
Shizhu He
,
Yao Xu
,
Yuanzhe Zhang
,
Kang Liu
,
Jun Zhao
Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval
BibTeX ⧉
ACL 2025
·
Jiabei Chen
,
Guang Liu
,
Shizhu He
,
Kun Luo
,
Yao Xu
,
Jun Zhao
,
Kang Liu
Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning
BibTeX ⧉
EMNLP 2025
·
Chengfeng Zhao
,
Shizhu He
,
Shanshan Jiang
,
Bin Dong
,
Jun Zhao
,
Kang Liu
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
BibTeX ⧉
EMNLP 2024
·
Yiming Huang
,
Jianwen Luo
,
Yan Yu
,
Yitong Zhang
,
Fangyu Lei
,
Yifan Wei
,
Shizhu He
,
Lifu Huang
,
Xiao Liu
,
Jun Zhao
,
Kang Liu
Does Large Language Model Contain Task-Specific Neurons?
BibTeX ⧉
EMNLP 2024
·
Ran Song
,
Shizhu He
,
Shuting Jiang
,
Yantuan Xian
,
Shengxiang Gao
,
Kang Liu
,
Zhengtao Yu
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
BibTeX ⧉
NeurIPS 2024
·
Huanxuan Liao
,
Shizhu He
,
Yao Xu
,
Yuanzhe Zhang
,
Yanchao Hao
,
Shengping Liu
,
Kang Liu
,
Jun Zhao
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
BibTeX ⧉
EMNLP 2024
·
Yao Xu
,
Shizhu He
,
Jiabei Chen
,
Zihao Wang
,
Yangqiu Song
,
Hanghang Tong
,
Guang Liu
,
Jun Zhao
,
Kang Liu
Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization
BibTeX ⧉
EMNLP 2024
·
Zhiqi Wang
,
Shizhu He
,
Kang Liu
,
Jun Zhao
ItD: Large Language Models Can Teach Themselves Induction through Deduction
BibTeX ⧉
ACL 2024
·
Wangtao Sun
,
Haotian Xu
,
Xuanqing Yu
,
Pei Chen
,
Shizhu He
,
Jun Zhao
,
Kang Liu
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
BibTeX ⧉
ICLR 2024
·
Yixuan Weng
,
Minjun Zhu
,
Fei Xia
,
Bin Li
,
Shizhu He
,
Kang Liu
,
Jun Zhao
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model
BibTeX ⧉
NAACL 2024
·
Fangyu Lei
,
Qian Liu
,
Yiming Huang
,
Shizhu He
,
Jun Zhao
,
Kang Liu
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
BibTeX ⧉
ACL 2024
·
Xiang Li
,
Shizhu He
,
Fangyu Lei
,
JunYang JunYang
,
Tianhuang Su
,
Kang Liu
,
Jun Zhao