Ke Ji

19 papers at tracked venues · 11 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

IJCAI ×6 ACL ×4 AAAI ×3 EMNLP ×2 NeurIPS ×2 ICLR ×1 WWW ×1

Frequent coauthors

Jiajun Liu

×9

Peng Wang

×8

Ziyu Shang

×8

Guozheng Li

×8

Wenjun Ke

×7

Benyou Wang

×7

Zijie Xu

×6

Junying Chen

×6

Jingsheng Gao

×4

Anningzhe Gao

×3

Xidong Wang

×3

Xiang Wan

×3

Papers

Unlearning of Knowledge Graph Embedding via Preference Optimization
WWW 2026 ·
Jiajun Liu
,
Wenjun Ke
,
Peng Wang
,
Yao He
,
Ziyu Shang
,
Guozheng Li
,
Zijie Xu
, Ke Ji
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
ACL 2025 ·
Junying Chen
,
Chi Gui
,
Anningzhe Gao
, Ke Ji,
Xidong Wang
,
Xiang Wan
,
Benyou Wang
Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning
ACL 2025 · Ke Ji,
Yixin Lian
,
Linxu Li
,
Jingsheng Gao
,
Weiyuan Li
,
Bin Dai
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
NeurIPS 2025 ·
Wanlong Liu
,
Junxiao Xu
,
Fei Yu
,
Yukang Lin
, Ke Ji,
Wenyu Chen
,
Lifeng Shang
,
Yasheng Wang
,
Yan Xu
,
Benyou Wang
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
EMNLP 2025 ·
Wanlong Liu
,
Junying Chen
, Ke Ji,
Li Zhou
,
Wenyu Chen
,
Benyou Wang
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
ICLR 2025 ·
Jingsheng Gao
,
Linxu Li
, Ke Ji,
Weiyuan Li
,
Yixin Lian
,
Yuzhuo Fu
,
Bin Dai
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
NeurIPS 2025 · Ke Ji,
Jiahao Xu
,
Tian Liang
,
Qiuzhi Liu
,
Zhiwei He
,
Xiaoyuan Liu
,
Xingyu Chen
,
Junying Chen
,
Benyou Wang
,
Zhaopeng Tu
,
Haitao Mi
,
Dong Yu
Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems
ACL 2025 ·
Junying Chen
,
Zhenyang Cai
, Ke Ji,
Xidong Wang
,
Wanlong Liu
,
Rongsheng Wang
,
Benyou Wang
Unlocking LLMs' Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
ACL 2025 · Ke Ji,
Junying Chen
,
Anningzhe Gao
,
Wenya Xie
,
Xiang Wan
,
Benyou Wang
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
IJCAI 2024 · Ke Ji,
Peng Wang
,
Wenjun Ke
,
Guozheng Li
,
Jiajun Liu
,
Jingsheng Gao
,
Ziyu Shang
Empirical Analysis of Dialogue Relation Extraction with Large Language Models
IJCAI 2024 ·
Guozheng Li
,
Zijie Xu
,
Ziyu Shang
,
Jiajun Liu
, Ke Ji,
Yikai Guo
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024 ·
Jiajun Liu
,
Wenjun Ke
,
Peng Wang
,
Jiahao Wang
,
Jinhua Gao
,
Ziyu Shang
,
Guozheng Li
,
Zijie Xu
, Ke Ji,
Yining Li
Incorporating Schema-Aware Description into Document-Level Event Extraction
IJCAI 2024 ·
Zijie Xu
,
Peng Wang
,
Wenjun Ke
,
Guozheng Li
,
Jiajun Liu
, Ke Ji,
Xiye Chen
,
Chenxiao Wu
LAMM: Label Alignment for Multi-Modal Prompt Learning
AAAI 2024 ·
Jingsheng Gao
,
Jiacheng Ruan
,
Suncheng Xiang
,
Zefang Yu
, Ke Ji,
Mingye Xie
,
Ting Liu
,
Yuzhuo Fu
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
IJCAI 2024 ·
Guozheng Li
,
Peng Wang
,
Jiajun Liu
,
Yikai Guo
, Ke Ji,
Ziyu Shang
,
Zijie Xu
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
AAAI 2024 ·
Ziyu Shang
,
Wenjun Ke
,
Nana Xiu
,
Peng Wang
,
Jiajun Liu
,
Yanhui Li
,
Zhizhao Luo
, Ke Ji
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
IJCAI 2024 ·
Guozheng Li
,
Peng Wang
,
Wenjun Ke
,
Yikai Guo
, Ke Ji,
Ziyu Shang
,
Jiajun Liu
,
Zijie Xu
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024 ·
Jiajun Liu
,
Wenjun Ke
,
Peng Wang
,
Ziyu Shang
,
Jinhua Gao
,
Guozheng Li
, Ke Ji,
Yanhe Liu
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
EMNLP 2024 ·
Junying Chen
,
Chi Gui
,
Ruyi Ouyang
,
Anningzhe Gao
,
Shunian Chen
,
Guiming Chen
,
Xidong Wang
,
Zhenyang Cai
, Ke Ji,
Xiang Wan
,
Benyou Wang