Minwook Bae

M.S Student at UNIST AI
Research Areas : NLP, Multi-modal Learning, Embodied AI

[Jihyoung Jang @jihyoungjang]

🚨Our paper "Enabling Chatbots with Eyes and Ears" has been accepted to #ACL2025NLP!

👀👂We explore how chatbots can integrate visual, auditory, and textual modalities to support multi-party, multi-session, real-world immersive conversations.

🧵👇

[Jihyoung Jang @jihyoungjang]

Excited to share that "Mixed-Session Conversation with Egocentric Memory" has been accepted to #EMNLP2024 Findings🎉🎉🎉

Special thanks to @kty4119 and @khsquared for their collaboration!

https://t.co/Y3JGphSa5r

[Minwook Bae @MinwookBae]

#EMNLP2024 #StoryGeneration #LLM

[Minwook Bae @MinwookBae]

📖 Excited to present our novel long-story generation framework, Collective Critics for Creative Story Generation (CritiCS)!

Previous long-story generation research mainly focused on coherence, overlooking creative and captivating storytelling. However, what we truly want is to generate stories that captivate readers. Therefore, we developed CritiCS—a framework designed to foster creativity and produce captivating long-form stories through a collective critique mechanism.

Thanks to @khsquared and the amazing Language & Intelligence Lab family for their invaluable insights and continuous support!

[Minwook Bae @MinwookBae]

Our code is publicly available:

https://t.co/9zGMd0GMMT

For more details, please check our paper:

https://t.co/smjmqFLBGM

[Seokhyun An @seokhyun_an]

🚀 Excited to share our latest findings: LLMs can follow instructions and even refuse unsafe queries, despite being trained solely on responses without paired instructions!

We explore how establishing an output space enables LLM alignment, revealing the extensive inherent capabilities of pre-trained LLMs.

Huge thanks to @khsquared for his unwavering support throughout this year-long journey.

[Jihyoung Jang @jihyoungjang]

🚨Excited to share Conversation Chronicles, a new high-quality multi-session conversation dataset that consists of 1M multi-session dialogues! #EMNLP2023

https://t.co/0XN6fqCHQt
We have uploaded our dataset and model to @huggingface!

w/ @HH22L1 @khsquared