| 2025 | EMNLP | TRUEBench: Can LLM Response Meet Real-world Constraints as Productivity Assistant? | Jiho Park, Jongyoon Song, Minjin Choi, Kyuho Heo, Taehun Huh, Ji Won Kim |
| 2025 | ICCV | Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP. | Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung, Sungroh Yoon |
| 2025 | NAACL | Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. | Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon |
| 2025 | NAACL | Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. | Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune Gwon, Sungroh Yoon |
| 2024 | EACL | Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. | Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon |
| 2023 | ACL | Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. | Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon |
| 2022 | ACL | Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings. | Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon |
| 2021 | EMNLP | AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. | Jongyoon Song, Sungwon Kim, Sungroh Yoon |
| 2019 | ICML | FloWaveNet : A Generative Flow for Raw Audio. | Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon |