4 citations · 5 across the 4 of their papers we have counts for
5 papers
K-EXAONE 2.0 Technical Report
Eunbi Choi, Kibong Choi, Sehyun Chun +74
This technical report presents K-EXAONE 2.0, an open-weight multilingual foundation model developed by LG AI Research as a step in our effort toward global frontier-scale foundatio…
Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge
Heegyu Kim, Taeyang Jeon, Seungtaek Choi +12
Materials synthesis is vital for innovations such as energy storage, catalysis, electronics, and biomedical devices. Yet, the process relies heavily on empirical, trial-and-error m…
FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark
Heegyu Kim, Taeyang Jeon, Seunghwan Choi +2
Text-to-SQL systems have become crucial for translating natural language into SQL queries in various industries, enabling non-technical users to perform complex data operations. Th…
Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement
Heegyu Kim, Sehyun Yuk, Hyunsouk Cho
Caution: This paper includes offensive words that could potentially cause unpleasantness. Language models (LMs) are vulnerable to exploitation for adversarial misuse. Training LMs…
GTA: Gated Toxicity Avoidance for LM Performance Preservation
Heegyu Kim, Hyunsouk Cho
Caution: This paper includes offensive words that could potentially cause unpleasantness. The fast-paced evolution of generative language models such as GPT-4 has demonstrated outs…