Taehee Jung

4 papers · 2019–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ACL (1) EACL (1) EMNLP (1)

Top co-authors

Dongyeop Kang (4) Lucas Mentch (2) Joo-Kyung Kim (2) Tristan Bodding-Long (1) Abhinav Sethy (1) Hua Cheng (1) Shirley Anugrah Hayati (1) Sudipta Kar (1) Thomas Schaaf (1) Eduard Hovy (1)

Research topics

Machine Learning (4) Learning Types · Machine Learning (4) Natural Language Processing (3) Core Methods (3) Deep Learning (2) Application Areas (2) Generation (2) Learning Types · Deep Learning (2) Interdisciplinary (1) Applications (1) Linguistics (1) Optimization & Theory (1)

Keywords

multi-task learning (1) transfer learning (1) text classification (1) text summarization (1) instruction tuning (1) probability calibration (1) posterior probability (1) position bia (1) calibration error (1) sentence classification (1) hierarchical generation (1) tail label (1) label generation (1) text-to-text model (1) neural summarization (1) extreme multi-label classification (1) training procedure (1) corpus analysis (1) importance scoring (1) large language model (1)

Papers

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models AAAI 2025 Cluster-Guided Label Generation in Extreme Multi-Label Classification EACL 2023 Posterior Calibrated Training on Sentence Classification Tasks ACL 2020 Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization EMNLP 2019