Chaewon Kim, Seo Yeon Park: SCoNE : Selective Context-aware Neuron Editing for Robust Retrieval-Augmented Generation. EMNLP 2026 (Main)
Jae O Lee*, Jaemin Kim*, Sumyeong Ahn^, Seo Yeon Park^(Co-corresponding): Where Does Robustness Live? Neuron-Guided Adaptation for Retrieval-Augmented Language Models. EMNLP 2026 (Main) , link.
Byeongjin Kim, Gyuwan Kim, Seo Yeon Park: PPA-Plan: Proactive Pitfall Avoidance for Reliable Planning in Long-Context LLM Reasoning. ACL 2026 (Main), link.
Seo Yeon Park: Leveraging Moment Injection for Enhanced Semi-supervised Natural Language Inference with Large Language Models. NAACL 2025 (Main).
Seo Yeon Park, Cornelia Caragea : VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp. EMNLP 2024 (Main).
Seo Yeon Park, Cornelia Caragea : Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. EMNLP 2023 (Main)
Jishnu Ray Chowdhury, Seoyeon Park*, Tuhin Kundu*, Cornelia Caragea : KPDrop: Improving Absent Keyphrase Generation. EMNLP 2022 (Findings).
Seo Yeon Park, and Cornelia Caragea : A Data Cartography based MixUp for Pre-trained Language Models. NAACL 2022 (Main).
Seo Yeon Park, and Cornelia Caragea : On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. ACL 2022 (Main).
Seoyeon Park, and Cornelia Caragea : Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning. COLING 2020