Jamin Shin
Jamin Shin
Research Scientist, NAVER AI Lab, HyperCLOVA
Verified email at - Homepage
Cited by
Cited by
Reducing gender bias in abusive language detection
JH Park, J Shin, P Fung
EMNLP 2018, 2018
KLUE: Korean Language Understanding Evaluation
S Park, J Moon, S Kim, WI Cho, J Han, J Park, C Song, J Kim, Y Song, ...
arXiv preprint arXiv:2105.09680, 2021
MoEL: Mixture of Empathetic Listeners
Z Lin, A Madotto, J Shin, P Xu, P Fung
EMNLP 2019, 2019
CAiRE: An End-to-End Empathetic Chatbot
Z Lin, P Xu, GI Winata, FB Siddique, Z Liu, J Shin, P Fung
AAAI 2020 Demonstration, 2019
Generating Empathetic Responses by Looking Ahead the User's Sentiment
J Shin, P Xu, A Madotto, P Fung
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Z Liu, J Shin, Y Xu, GI Winata, P Xu, A Madotto, P Fung
EMNLP 2019, 2019
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
J Shin, H Yu, H Moon, A Madotto, J Park
Findings of the Association for Computational Linguistics: ACL 2022, 2022
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
S Kim*, J Shin*, Y Cho*, J Jang, S Longpre, H Lee, S Yun, S Shin, S Kim, ...
arXiv preprint arXiv:2310.08491, 2023
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
G Indra Winata, A Madotto, J Shin, EJ Barezi, P Fung
PACLIC 2019, 2019
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
G Indra Winata, A Madotto, Z Lin, J Shin, Y Xu, P Xu, P Fung
SemEval @ NAACL 2019, 2019
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
G Indra Winata, Z Lin, J Shin, Z Liu, P Fung
EMNLP 2019, 2019
Aligning large language models through synthetic feedback
S Kim, S Bae, J Shin, S Kang, D Kwak, KM Yoo, M Seo
arXiv preprint arXiv:2305.13735, 2023
Who wrote this code? watermarking for code generation
T Lee, S Hong, J Ahn, I Hong, H Lee, S Yun, J Shin, G Kim
arXiv preprint arXiv:2305.15060, 2023
Interpreting Word Embeddings with Eigenvector Analysis
J Shin, A Madotto, P Fung
Interpretability and Robustness in Audio, Speech, and Language (IRASL …, 2018
The cot collection: Improving zero-shot and few-shot learning of language models via chain-of-thought fine-tuning
S Kim, SJ Joo, D Kim, J Jang, S Ye, J Shin, M Seo
arXiv preprint arXiv:2305.14045, 2023
Attention over Parameters for Dialogue Systems
A Madotto, Z Lin, CS Wu, J Shin, P Fung
Conversational AI Workshop @NeurIPS, 2020
Evallm: Interactive evaluation of large language model prompts on user-defined criteria
TS Kim, Y Lee, J Shin, YH Kim, J Kim
arXiv preprint arXiv:2309.13633, 2023
Fast end-to-end coreference resolution for Korean
C Park, J Shin, S Park, J Lim, C Lee
Findings of the Association for Computational Linguistics: EMNLP 2020, 2610-2624, 2020
Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction
S Lee, KS Kim, J Shin, J Park
Educational Data Mining 2021, 2021
Evaluating the knowledge dependency of questions
H Moon, Y Yang, J Shin, H Yu, S Lee, M Jeong, J Park, M Kim, S Choi
arXiv preprint arXiv:2211.11902, 2022
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