conftrace_

Ekaterina Kochmar

39 papers · 2014–2026 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🏃 Academic Marathon (11) 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (6)
🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (59) 🧬 Topic Evolution 🔬 Deep Specialist (11) 🏆 Keyword Champion (3) The Questioner (5) 🗃️ Keyword Collector (150) 💎 Century Club (38) Prolific Year (8)

Conferences

ACL (14) NAACL (9) COLING (5) EMNLP (4) AAAI (2) SEMEVAL (2) CONLL (1) EACL (1) IJCNLP (1)

Research topics

Papers

AITutor-EvalKit: Exploring the Capabilities of AI Tutors EACL 2026 Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation ACL 2025 Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors NAACL 2025 LLMs cannot spot math errors, even when allowed to peek into the solution EMNLP 2025 UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment EMNLP 2025 What Makes Cryptic Crosswords Challenging for LLMs? COLING 2025 Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors ACL 2025 Can LLMs Reliably Simulate Real Students’ Abilities in Mathematics and Reading Comprehension? ACL 2025 KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan ACL 2025 A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models ACL 2025 Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward ACL 2025 SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models ACL 2025 REFeREE: A REference-FREE Model-Based Metric for Text Simplification COLING 2024 How Teachers Can Use Large Language Models and Bloom’s Taxonomy to Create Educational Quizzes AAAI 2024 What Makes Math Word Problems Challenging for LLMs? NAACL 2024 Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing NAACL 2024 PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations NAACL 2024 PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? NAACL 2024 PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations SEMEVAL 2024 PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? SEMEVAL 2024 Automatic Readability Assessment for Closely Related Languages ACL 2023 BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages EMNLP 2023 The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues ACL 2023 Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems AAAI 2021 Word Complexity is in the Eye of the Beholder NAACL 2021 MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models COLING 2020 Automatic learner summary assessment for reading comprehension NAACL 2019 Recursive Context-Aware Lexical Simplification EMNLP 2019 Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications ACL 2019 Complex Word Identification as a Sequence Labelling Task ACL 2019 Recursive Context-Aware Lexical Simplification IJCNLP 2019 Comparative judgments are more consistent than binary classification for labelling word complexity ACL 2019 Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications NAACL 2018 CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting NAACL 2018 ‘Calling on the classical phone’: a distributional model of adjective-noun errors in learners’ English COLING 2016 Cross-Lingual Lexico-Semantic Transfer in Language Learning ACL 2016 Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics COLING 2014 Proceedings of the ACL 2014 Student Research Workshop ACL 2014 Grammatical error correction using hybrid systems and type filtering CONLL 2014