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Xiaoou Liu
Observed name:
Liu, Xiaoou
Institution:
Arizona State University
Observed institution:
Arizona State University
ORCID:
0009-0008-1082-8326
Observed ORCID:
0009-0008-1082-8326
OpenAlex ID:
A5123906273
SELAUR: Self Evolving LLM Agent via Uncertainty-Aware Rewards
2026
·
Dengjia Zhang
, Xiaoou Liu
, et al.
·
Lecture notes in computer science
·
2
The Sim-to-Real Gap of Foundation Model Agents: A Unified MDP Perspective
2026
·
Xiaoou Liu
, Tiejin Chen
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources
2026
·
Association for Computational Linguistics 2026
, Chen, Tiejin
, et al.
·
Underline Science Inc.
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
2026
·
Association for Computational Linguistics 2026
, Chen, Tiejin
, et al.
·
Underline Science Inc.
SELAUR: Self Evolving LLM Agent via Uncertainty-aware Rewards
2026
·
Zhang, Dengjia
, Liu, Xiaoou
, et al.
·
arXiv (Cornell University)
PDF
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
2026
·
Chen, Tiejin
, Liu, Xiaoou
, et al.
·
arXiv (Cornell University)
PDF
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
2026
·
Tiejin Chen
, Xiaoou Liu
, et al.
·
Findings of the Association for Computational Linguistics: EACL
PDF
LangMARL: Natural Language Multi-Agent Reinforcement Learning via Semantic Credit Assignment
2026
·
Huaiyuan Yao
, Longchao Da
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources
2026
·
Tiejin Chen
, Xiaoou Liu
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
MASkills: Continual Skills Optimization for Multi-Agent LLM Systems
2026
·
Huaiyuan Yao
, Xiaoou Liu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
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Works count:
10
Citation count:
2
H-index:
1
I10-index:
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