반응형 전체 글599 [2023-08-07] 오늘의 자연어처리 Reasoning in Large Language Models Through Symbolic Math Word Problems Large language models (LLMs) have revolutionized NLP by solving downstream tasks with little to no labeled data. Despite their versatile abilities, the larger question of their ability to reason remains ill-understood. This paper addresses reasoning in math word problems (MWPs) by studying symbolic versions of the numeric pro.. 2023. 8. 7. [2023-08-06] 오늘의 자연어처리 NBIAS: A Natural Language Processing Framework for Bias Identification in Text Bias in textual data can lead to skewed interpretations and outcomes when the data is used. These biases could perpetuate stereotypes, discrimination, or other forms of unfair treatment. An algorithm trained on biased data ends up making decisions that disproportionately impact a certain group of people. Therefore, it.. 2023. 8. 6. [2023-08-05] 오늘의 자연어처리 Investigating Reinforcement Learning for Communication Strategies in a Task-Initiative Setting Many conversational domains require the system to present nuanced information to users. Such systems must follow up what they say to address clarification questions and repair misunderstandings. In this work, we explore this interactive strategy in a referential communication task. Using simulation, we.. 2023. 8. 5. [2023-08-04] 오늘의 자연어처리 Grounded Image Text Matching with Mismatched Relation Reasoning This paper introduces Grounded Image Text Matching with Mismatched Relation (GITM-MR), a novel visual-linguistic joint task that evaluates the relation understanding capabilities of transformer-based pre-trained models. GITM-MR requires a model to first determine if an expression describes an image, then localize referred objects or.. 2023. 8. 4. 이전 1 ··· 37 38 39 40 41 42 43 ··· 150 다음 반응형