논문 (10) 썸네일형 리스트형 [논문이해] A Survey on In-context Learning 논문명: A Survey on In-context Learning 논문 링크: https://arxiv.org/abs/2301.00234 A Survey on In-context Learning With the increasing ability of large language models (LLMs), in-context learning (ICL) has become a new paradigm for natural language processing (NLP), where LLMs make predictions only based on contexts augmented with a few examples. It has been a new tren arxiv.org 논문 선정 이유 비교적 최근인 23년 6.. [논문이해] CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval 논문명: CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval 논문링크: https://arxiv.org/abs/2104.08860 CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Video-text retrieval plays an essential role in multi-modal research and has been widely used in many real-world web applications. The CLIP (Contrastive Language-Image Pre-training), an image-language pre-t.. [논문이해] EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa 논문명: EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa https://arxiv.org/abs/2108.12009 EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa We present EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa, a simple yet expressive scheme of solving the ERC (emotion recognition in conversation) task. By simply prepending speaker names .. [논문이해] CoMPM:Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation 논문명: CoMPM:Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation (저자가 한국인이라서 더 반가운 논문이었다. 좋은 논문 감사드립니다.) https://arxiv.org/abs/2108.11626 CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation As the use of interactive machines grow, the task of Emotion Recognition in Conversation (ERC) became more .. [논문이해] Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation 논문명: Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation https://arxiv.org/abs/2110.08501 Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation Implicit knowledge, such as common sense, is key to fluid human conversations. Current neural response generation (RG) models are trained to generate response.. [논문이해] Commonsense-Focused Dialogues for Response Generation: An Empirical Study 논문명: Commonsense-Focused Dialogues for Response Generation: An Empirical Study https://arxiv.org/abs/2109.06427 Commonsense-Focused Dialogues for Response Generation: An Empirical Study Smooth and effective communication requires the ability to perform latent or explicit commonsense inference. Prior commonsense reasoning benchmarks (such as SocialIQA and CommonsenseQA) mainly focus on the discri.. [논문이해] Investigating Math Word Problems using Pretrained Multilingual Language Models 논문명: Investigating Math Word Problems using Pretrained Multilingual Language Models 논문링크: https://arxiv.org/pdf/2105.08928.pdf 요약 이 논문은 2가지 언어적 관점으로 Math Word Problem 을 접근한다. Cross-lingiual: 특정 언어(예시: 영어)로 학습한 모델이 다른 언어(예시: 중국어) 데이터도 잘 풀까? Multilingual: 여러 언어로 학습하는 게 단일 언어로 학습한 것보다 좋을까? 위 2가지를 명백히 하기 위해, MathQA(english) 와 Math23k(chinese) 를 적절히 가공한다. 실험을 통해 다음을 밝혀냈다. Cross-lingiual 은 효과적이지 않다 → .. [논문 이해] Generating Equation by Utilizing Operators : GEO Model 논문명: Generating Equation by Utilizing Operators : GEO Model 한글 논문 링크: https://s-space.snu.ac.kr/handle/10371/175890#export_btn 영어 논문 링크: https://aclanthology.org/2020.coling-main.38.pdf SNU Open Repository and Archive: 템플릿 기반의 방법을 이용한 문장형 수학 문제 풀이 템플릿 기반의 방법을 이용한 문장형 수학 문제 풀이 Automatically solving math word problem using template-based methods Issue Date 2021-02 Publisher 서울대학교 대학원 Keywords 자연어 .. 이전 1 2 다음
