arXiv:1911.03343
공식 코드 · Papers with Code
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
원문 초록
Building on Petroni et al. (2019), we propose two new probing tasks analyzing factual knowledge stored in Pretrained Language Models (PLMs). (1) Negation. We find that PLMs do not distinguish between negated ("Birds cannot [MASK]") and non-negated ("Birds can [MASK]") cloze questions. (2) Mispriming. Inspired by priming methods in human psychology, we add "misprimes" to cloze questions ("Talk? Birds can [MASK]"). We find that PLMs are easily distracted by misprimes. These results suggest that PLMs still have a long way to go to adequately learn human-like factual knowledge.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Describe Anything Model for Visual Question Answering on Text-rich Images
SeqPE: Transformer with Sequential Position Encoding
Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering
Large Language Model Agent for Modular Task Execution in Drug Discovery
토론
이 논문과 연결된 포럼 글이 아직 없습니다.