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Yunjia Qi
Observed name:
Qi, Yunjia
Institutions:
University of Oxford,
Peking University Third Hospital,
Zhipu AI (China),
Tsinghua University
Observed institutions:
University of Oxford,
Peking University Third Hospital,
Zhipu AI (China),
Beijing National Research Center for Information Science and Technology,
Xi’an Jiaotong-Liverpool University,
Tsinghua University
show all 6
ORCID:
0009-0009-1836-8413
Observed ORCID:
0009-0009-1836-8413
OpenAlex ID:
A5113281911
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
2023
·
Yu, Jifan
, Wang, Xiaozhi
, et al.
·
arXiv (Cornell University)
·
29
PDF
ADELIE: Aligning Large Language Models on Information Extraction
2024
·
Yunjia Qi
, Hao Peng
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
19
PDF
LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
2025
·
Amy Xin
, Yunjia Qi
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
10
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
2023
·
Peng, Hao
, Wang, Xiaozhi
, et al.
·
arXiv (Cornell University)
·
7
PDF
StoryWriter: A Multi-Agent Framework for Long Story Generation
2025
·
Haotian Xia
, Hao Peng
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
4
AnesNet: a versatile deep convolutional framework for predicting depth of anesthesia using BIS and multimodal intraoperative signals
2026
·
Yunjia Qi
, Xiaoxiao Wang
, et al.
·
BMC Anesthesiology
·
2
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
2025
·
Hao Peng
, Yunjia Qi
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
2
PDF
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
2025
·
Hao Peng
, Yunjia Qi
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
2
PDF
Constraint Back-translation Improves Complex Instruction Following of Large Language Models
2025
·
Yunjia Qi
, Hao Peng
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
1
MAVEN-FACT: A Large-scale Event Factuality Detection Dataset
2024
·
Chunyang Li
, Hao Peng
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
1
PDF
RIDAR: Safeguarding Research Integrity in Autonomous Research Agents via Automated Detection and Runtime Intervention
2026
·
Siow, Jiening
, Xin, Amy
, et al.
·
arXiv (Cornell University)
PDF
StoryAlign: Evaluating and Training Reward Models for Story Generation
2026
·
Xia, Haotian
, Peng, Hao
, et al.
·
arXiv (Cornell University)
PDF
DSR-Rec: Enhancing Generative Recommendation Through Dynamic Expert Selection and Semantic ID Redirection
2026
·
Hailong Luo
, Yunjia Qi
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
2026
·
Xiong, Jiaqi
, Qi, Yunjia
, et al.
·
arXiv (Cornell University)
PDF
Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?
2026
·
Yangda Peng
, Yunjia Qi
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
PREFINFER: Preference Inference from User-LLM Interaction History
2026
·
Yufei Chen
, Hao Peng
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
RemixDPT-EGNet: remix-based bone-conducted speech enhancement in the time domain
2025
·
Ruiqi Chen
, Yunjia Qi
, et al.
·
International Conference on Advanced Sensing and Intelligent Systems (ICASIS)
Multimodal physiological signal fusion with TS-CNN for early prediction of intraoperative hypotension
2025
·
Yutong Hu
, Yunjia Qi
, et al.
·
International Conference on Advanced Sensing and Intelligent Systems (ICASIS)
A Two-Stage Framework with Ordinal Constraints for Age Estimation from Retinal Fundus Images
2025
·
Jiayi Song
, Yunjia Qi
, et al.
·
International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios
2025
·
Qi, Yunjia
, Peng, Hao
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
20
Citation count:
77
H-index:
4
I10-index:
3
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