Teaching Assistant - Boostcamp AI Tech (Generation for NLP)•Design comprehensive curriculum and create in-depth lecture materials tailored to the 'Generation for NLP' program.•Orchestrate hands-on NLP competitions to bridge theory and practical application.

Structure & Knowledge Injection into Machine Learning Lab, Prof. Jay-Yoon Lee

Conducting Research on LLM Agent Evaluation•Design and implement a benchmark system for in-the-wild human-assistant dialogues•Develop comprehensive evaluation framework for assessing the performance of human-assistant interactions in real-world scenarios

Conducting Research on Large Language Models for Education• Compete on the Huggingface Open LLM Leaderboard, achieving 1st place on Oct, 2023• Explore the effects of instruction tuning from data (quantity, quality, diversity) and model (scale, efficiency, objective) perspectives • Implement diverse optimization techniques (ZeRO, FSDP, and FlashAttention) for training/inference with single 8xA100 machineAutomated Essay Scoring• Achieve state‐of‐the‐art on public essay… Show more Conducting Research on Large Language Models for Education• Compete on the Huggingface Open LLM Leaderboard, achieving 1st place on Oct, 2023• Explore the effects of instruction tuning from data (quantity, quality, diversity) and model (scale, efficiency, objective) perspectives • Implement diverse optimization techniques (ZeRO, FSDP, and FlashAttention) for training/inference with single 8xA100 machineAutomated Essay Scoring• Achieve state‐of‐the‐art on public essay scoring benchmarks• Conduct “Bar exam” scoring which performs better than GPT‐4 Show less

Korean Open‐domain Chatbot Service• Directed dialogue data collection and quality filtering using advanced LLMs• Developed an in‐house Korean LM for multi‐persona chatbot with self‐collected datasets• Operated a Kakaotalk‐based chatbot serviceAI Grand Challenge: Policy Support AI• Awarded Ministry of Science and ICT Minister’s Award• Orchestrated TableQA data collection with policy domain experts• Developed continual learning framework with OCR‐based parsing and… Show more Korean Open‐domain Chatbot Service• Directed dialogue data collection and quality filtering using advanced LLMs• Developed an in‐house Korean LM for multi‐persona chatbot with self‐collected datasets• Operated a Kakaotalk‐based chatbot serviceAI Grand Challenge: Policy Support AI• Awarded Ministry of Science and ICT Minister’s Award• Orchestrated TableQA data collection with policy domain experts• Developed continual learning framework with OCR‐based parsing and additional table data• Developed an integrated QA system for processing texts, tables, and charts Show less