INFORMATION

• 발표자: Seo, Jaehyung
• TOPIC: Evaluation & Reasoning
• PAPERS
  • HellaSwag: Can a Machine Really Finish Your Sentence?
  • Measuring Massive Multitask Language Understanding
  • Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge (ARC)
  • TruthfulQA: Measuring How Models Mimic Human Falsehoods

• 발표자: Koo, Seonmin
• TOPIC: LLM probing
• PAPERS
  • Clues Before Answers: Generation-Enhanced Multiple-Choice QA
  • Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
  • Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge

• 발표자: Jang, Yoonna
• TOPIC: Quantization & Efficient adaptation
• PAPERS
  • LoRA: Low-Rank Adaptation of Large Language Models
  • Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  • LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition