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Kseniia Petukhova
Observed name:
Petukhova, Kseniia
Institutions:
University of Victoria,
Mohamed bin Zayed University of Artificial Intelligence,
Zayed University
Observed institutions:
Moscow Institute of Physics and Technology,
University of Victoria,
Institute of Physics and Technology,
Mohamed bin Zayed University of Artificial Intelligence,
Zayed University
OpenAlex ID:
A5104239790
ChatGPT vs. Crowdsourcing vs. Experts: Annotating Open-Domain Conversations with Speech Functions
2023
·
Lidiia Ostyakova
, Veronika Smilga
, et al.
·
Annual Meeting of the Special Interest Group on Discourse and Dialogue
·
19
PDF
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors
2025
·
Kaushal Kumar Maurya
, Kv Aditya Srivatsa
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
11
PDF
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
2025
·
Ekaterina Kochmar
, Kaushal Maurya
, et al.
·
Workshop on Innovative Use of NLP for Building Educational Applications
·
4
PDF
Linguistic Annotation Generation with ChatGPT: a Synthetic Dataset of Speech Functions for Discourse Annotation of Casual Conversations
2023
·
Lidiia Ostyakova
, Kseniia Petukhova
, et al.
·
Computational Linguistics and Intellectual Technologies
·
4
PDF
A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models
2025
·
Kseniia Petukhova
, Ekaterina Kochmar
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
·
3
PDF
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
2024
·
Roman Kazakov
, Kseniia Petukhova
, et al.
·
International Workshop on Semantic Evaluation (SemEval)
·
2
PDF
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
2024
·
Kseniia Petukhova
, Roman Kazakov
, et al.
·
International Workshop on Semantic Evaluation (SemEval)
·
2
PDF
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
2025
·
Kseniia Petukhova
, Ekaterina Kochmar
·
Workshop on Innovative Use of NLP for Building Educational Applications
·
1
PDF
Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation
2026
·
Petukhova, Kseniia
, Nguyen, Tien Dat
, et al.
·
arXiv (Cornell University)
PDF
Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation
2026
·
Association for Computational Linguistics 2026
, Kochmar, Ekaterina
, et al.
·
Underline Science Inc.
Towards Reward Modeling for AI Tutors in Math Mistake Remediation
2026
·
Kseniia Petukhova
, Ekaterina Kochmar
·
Language Resources and Evaluation Conference (LREC)
PDF
Towards Reward Modeling for AI Tutors in Math Mistake Remediation
2026
·
Petukhova, Kseniia
, Kochmar, Ekaterina
·
arXiv (Cornell University)
PDF
AITutor-EvalKit: Exploring the Capabilities of AI Tutors (presented virtually)
2026
·
Association for Computational Linguistics 2026
, Kochmar, Ekaterina
, et al.
·
Underline Science Inc.
AITutor-EvalKit: Exploring the Capabilities of AI Tutors
2026
·
Numaan Naeem
, Kaushal Kumar Maurya
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
PDF
Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation
2026
·
Kseniia Petukhova
, Tien Dat Nguyen
, et al.
·
Workshop on Innovative Use of NLP for Building Educational Applications
PDF
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
2025
·
Kochmar, Ekaterina
, Maurya, Kaushal Kumar
, et al.
·
arXiv (Cornell University)
PDF
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors
2024
·
Maurya, Kaushal Kumar
, Srivatsa, KV Aditya
, et al.
·
arXiv (Cornell University)
PDF
Abstract User Goals in Open-Domain Dialog Systems
2023
·
Kseniia Petukhova
, Veronika Smilga
, et al.
·
Computational Linguistics and Intellectual Technologies
PDF
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Works count:
25
Citation count:
46
H-index:
4
I10-index:
2
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