Search Results for author: Jamin Shin

Found 21 papers, 9 papers with code

Who Wrote this Code? Watermarking for Code Generation

no code implementations24 May 2023 Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim

Large language models for code have recently shown remarkable performance in generating executable code.

Code Generation Text Detection

Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation

no code implementations23 May 2023 Takyoung Kim, Jamin Shin, Young-Ho Kim, Sanghwan Bae, Sungdong Kim

Most task-oriented dialogue (TOD) benchmarks assume users that know exactly how to use the system by constraining the user behaviors within the system's capabilities via strict user goals, namely "user familiarity" bias.

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

1 code implementation23 May 2023 Seungone Kim, Se June Joo, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo

Large Language Models (LLMs) have shown enhanced capabilities of solving novel tasks by reasoning step-by-step known as Chain-of-Thought (CoT) reasoning; how can we instill the same capability of reasoning step-by-step on unseen tasks into LMs that possess less than <100B parameters?

Few-Shot Learning

Aligning Large Language Models through Synthetic Feedback

no code implementations23 May 2023 Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo

In this work, we propose a novel framework for alignment learning with almost no human labor and no dependency on pre-aligned LLMs.

Language Modelling

Towards Zero-Shot Functional Compositionality of Language Models

1 code implementation6 Mar 2023 Hangyeol Yu, Myeongho Jeong, Jamin Shin, Hyeongdon Moon, Juneyoung Park, Seungtaek Choi

Large Pre-trained Language Models (PLM) have become the most desirable starting point in the field of NLP, as they have become remarkably good at solving many individual tasks.

Evaluating the Knowledge Dependency of Questions

1 code implementation21 Nov 2022 Hyeongdon Moon, Yoonseok Yang, Jamin Shin, Hangyeol Yu, SeungHyun Lee, Myeongho Jeong, Juneyoung Park, Minsam Kim, Seungtaek Choi

They fail to evaluate the MCQ's ability to assess the student's knowledge of the corresponding target fact.


Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking

1 code implementation Findings (ACL) 2022 Jamin Shin, Hangyeol Yu, Hyeongdon Moon, Andrea Madotto, Juneyoung Park

In this paper, we hypothesize that dialogue summaries are essentially unstructured dialogue states; hence, we propose to reformulate dialogue state tracking as a dialogue summarization problem.

Abstractive Dialogue Summarization Dialogue State Tracking +2

Pedagogical Word Recommendation: A novel task and dataset on personalized vocabulary acquisition for L2 learners

no code implementations27 Dec 2021 Jamin Shin, Juneyoung Park

When learning a second language (L2), one of the most important but tedious components that often demoralizes students with its ineffectiveness and inefficiency is vocabulary acquisition, or more simply put, memorizing words.

Collaborative Filtering

Fast End-to-end Coreference Resolution for Korean

no code implementations Findings of the Association for Computational Linguistics 2020 Cheoneum Park, Jamin Shin, Sungjoon Park, JoonHo Lim, Changki Lee

Recently, end-to-end neural network-based approaches have shown significant improvements over traditional pipeline-based models in English coreference resolution.

coreference-resolution Knowledge Distillation

Attention over Parameters for Dialogue Systems

no code implementations7 Jan 2020 Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Jamin Shin, Pascale Fung

Dialogue systems require a great deal of different but complementary expertise to assist, inform, and entertain humans.

Goal-Oriented Dialogue Systems

Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

no code implementations IJCNLP 2019 Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung

Despite the surging demands for multilingual task-oriented dialog systems (e. g., Alexa, Google Home), there has been less research done in multilingual or cross-lingual scenarios.

Intent Detection Natural Language Understanding +2

On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression

no code implementations27 Aug 2019 Genta Indra Winata, Andrea Madotto, Jamin Shin, Elham J. Barezi, Pascale Fung

Despite their ubiquity in NLP tasks, Long Short-Term Memory (LSTM) networks suffer from computational inefficiencies caused by inherent unparallelizable recurrences, which further aggravates as LSTMs require more parameters for larger memory capacity.

Model Compression

MoEL: Mixture of Empathetic Listeners

4 code implementations IJCNLP 2019 Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung

Previous research on empathetic dialogue systems has mostly focused on generating responses given certain emotions.

Understanding the Shades of Sexism in Popular TV Series

no code implementations WS 2019 Nayeon Lee, Yejin Bang, Jamin Shin, Pascale Fung

[Multiple-submission] In the midst of a generation widely exposed to and influenced by media entertainment, the NLP research community has shown relatively little attention on the sexist comments in popular TV series.

Generating Empathetic Responses by Looking Ahead the User's Sentiment

1 code implementation20 Jun 2019 Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung

Hence, in this paper, we propose Sentiment Look-ahead, which is a novel perspective for empathy that models the future user emotional state.

Reducing Gender Bias in Abusive Language Detection

no code implementations EMNLP 2018 Ji Ho Park, Jamin Shin, Pascale Fung

In this work, we measure gender biases on models trained with different abusive language datasets, while analyzing the effect of different pre-trained word embeddings and model architectures.

Abusive Language Data Augmentation +1

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