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Hexiang Tan
Observed name:
Tan, Hexiang
Institutions:
Beijing Institute of Technology,
Chinese Academy of Sciences,
Institute of Computing Technology,
University of Chinese Academy of Sciences
Observed institutions:
Beijing Institute of Technology,
Chinese Academy of Sciences,
Nanjing University of Posts and Telecommunications,
Institute of Computing Technology,
University of Chinese Academy of Sciences
ORCID:
0009-0000-9104-3871
Observed ORCID:
0009-0000-9104-3871
OpenAlex ID:
A5113392271
A survey on LLM-as-a-judge
2026
·
Jiawei Gu
, Xuhui Jiang
, et al.
·
The Innovation
·
137
A Survey on LLM-as-a-Judge
2024
·
Gu, Jiawei
, Jiang, Xuhui
, et al.
·
PubMed
·
49
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation
2023
·
Kun Zhang
, Xiexiong Lin
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
18
PDF
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
2024
·
Hexiang Tan
, Fei Sun
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
15
PDF
Energy-aware and Deadline-constrained Task Scheduling in Fog Computing Systems
2020
·
Hexiang Tan
, Wenjie Chen
, et al.
·
International Conference on Computer Science & Education (ICCSE)
·
10
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
2025
·
Hexiang Tan
, Fei Sun
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
3
PDF
An Energy-aware Greedy Heuristic for Multi-objective Optimization in Fog-Cloud Computing System
2020
·
Mengying Jia
, Wenjie Chen
, et al.
·
Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
·
3
PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree
2025
·
Xiang Li
, Zhiyi Yin
, et al.
·
Findings of the Association for Computational Linguistics: NAACL
·
2
PDF
Fact-Level Confidence Calibration and Self-Correction
2024
·
Yuan, Yige
, Xu, Bingbing
, et al.
·
arXiv (Cornell University)
·
2
PDF
Strong yet Controllable LLM Abstention without Learning to Abstain
2026
·
Zhang, Junwei
, Wang, Yifei
, et al.
·
arXiv (Cornell University)
PDF
Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development
2026
·
Li, Yiwei
, Yang, Wanli
, et al.
·
arXiv (Cornell University)
PDF
BaseCal: Unsupervised Confidence Calibration via Base Model Signals
2026
·
Tan, Hexiang
, Yang, Wanli
, et al.
·
arXiv (Cornell University)
PDF
BaseCal: Unsupervised Confidence Calibration via Base Model Signals
2026
·
Hexiang Tan
, Wanli Yang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Fact-Level Calibration and Correction for Long-Form Generations
2025
·
Yige Yuan
, Bingbing Xu
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
PDF
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
2025
·
Tan, Hexiang
, Sun, Fei
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
239
H-index:
5
I10-index:
5
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