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Publication search results
found 86 matches
- 2025
- Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song:
Learning to Verify Summary Facts with Fine-Grained LLM Feedback. COLING 2025: 230-242 - 2024
- Jemin Lee
, Yongin Kwon
, Sihyeong Park
, Misun Yu
, Jeman Park
, Hwanjun Song
:
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers With Bridge Block Reconstruction for IoT Systems. IEEE Internet Things J. 11(22): 36384-36396 (2024) - Hwanjun Song
, Jihwan Bang:
Prompt-guided DETR with RoI-pruned masked attention for open-vocabulary object detection. Pattern Recognit. 155: 110648 (2024) - Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee:
Adaptive Shortcut Debiasing for Online Continual Learning. AAAI 2024: 13122-13131 - Hwanjun Song, Minseok Kim, Jae-Gil Lee:
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. AAAI 2024: 21592-21601 - Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour:
FineSurE: Fine-grained Summarization Evaluation using LLMs. ACL (1) 2024: 906-922 - Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. ACL (1) 2024: 552-567 - Shunqi Mao, Chaoyi Zhang
, Hang Su, Hwanjun Song
, Igor Shalyminov
, Weidong Cai
:
Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights. ECCV (50) 2024: 464-481 - Yuho Lee, Taewon Yun, Jason Cai, Hang Su, Hwanjun Song:
UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs. EMNLP (Findings) 2024: 3941-3960 - Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee:
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. ICML 2024 - Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. NAACL-HLT 2024: 5150-5167 - Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour:
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. NAACL-HLT 2024: 5976-5996 - Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown:
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. NAACL-HLT 2024: 4455-4480 - Yooju Shin, Jaehyun Park, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee:
Exploiting Representation Curvature for Boundary Detection in Time Series. NeurIPS 2024 - Youngeun Nam
, Susik Yoon
, Yooju Shin
, Minyoung Bae
, Hwanjun Song
, Jae-Gil Lee
, Byung Suk Lee
:
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. WWW 2024: 4204-4215 - Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown:
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. CoRR abs/2402.13249 (2024) - Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour:
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. CoRR abs/2403.03194 (2024) - Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour:
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. CoRR abs/2403.04073 (2024) - Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour:
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. CoRR abs/2403.04314 (2024) - Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour:
FineSurE: Fine-grained Summarization Evaluation using LLMs. CoRR abs/2407.00908 (2024) - Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai:
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights. CoRR abs/2407.11449 (2024) - Yuho Lee, Taewon Yun, Jason Cai, Hang Su, Hwanjun Song:
UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs. CoRR abs/2409.19898 (2024) - Hwanjun Song, Taewon Yun, Yuho Lee, Gihun Lee, Jason Cai, Hang Su:
Learning to Summarize from LLM-generated Feedback. CoRR abs/2410.13116 (2024) - Junyong Kang, Donghyun Son, Hwanjun Song, Buru Chang:
In-Context Learning with Noisy Labels. CoRR abs/2411.19581 (2024) - Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song:
Learning to Verify Summary Facts with Fine-Grained LLM Feedback. CoRR abs/2412.10689 (2024) - 2023
- Hwanjun Song
, Minseok Kim, Dongmin Park
, Yooju Shin, Jae-Gil Lee
:
Learning From Noisy Labels With Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8135-8153 (2023) - Steven Euijong Whang
, Yuji Roh
, Hwanjun Song
, Jae-Gil Lee
:
Data collection and quality challenges in deep learning: a data-centric AI perspective. VLDB J. 32(4): 791-813 (2023) - Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun:
Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR 2023: 3944-3953 - Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun:
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP 2023: 5910-5924 - Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. EMNLP (Findings) 2023: 7026-7036
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