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Natural language reasoning, a survey
This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the
field of Natural Language Processing (NLP), both conceptually and practically …
field of Natural Language Processing (NLP), both conceptually and practically …
Prompt programming for large language models: Beyond the few-shot paradigm
L Reynolds, K McDonell - Extended abstracts of the 2021 CHI …, 2021 - dl.acm.org
Prevailing methods for map** large generative language models to supervised tasks may
fail to sufficiently probe models' novel capabilities. Using GPT-3 as a case study, we show …
fail to sufficiently probe models' novel capabilities. Using GPT-3 as a case study, we show …
Multi-hop question answering
Abstract The task of Question Answering (QA) has attracted significant research interest for a
long time. Its relevance to language understanding and knowledge retrieval tasks, along …
long time. Its relevance to language understanding and knowledge retrieval tasks, along …
Exploring question-specific rewards for generating deep questions
Recent question generation (QG) approaches often utilize the sequence-to-sequence
framework (Seq2Seq) to optimize the log-likelihood of ground-truth questions using teacher …
framework (Seq2Seq) to optimize the log-likelihood of ground-truth questions using teacher …
AFS graph: Multidimensional axiomatic fuzzy set knowledge graph for open-domain question answering
Q Lang, X Liu, W Jia - IEEE Transactions on Neural Networks …, 2022 - ieeexplore.ieee.org
Open-domain question answering (QA) tasks require a model to retrieve inference chains
associated with the answer from massive documents. The core of a QA model is the …
associated with the answer from massive documents. The core of a QA model is the …
Domain adaptation for subjective induction questions answering on products by adversarial disentangled learning
This paper focuses on answering subjective questions about products. Different from the
factoid question with a single answer span, this subjective one involves multiple viewpoints …
factoid question with a single answer span, this subjective one involves multiple viewpoints …
Few-shot question generation for personalized feedback in intelligent tutoring systems
D Kulshreshtha, M Shayan, R Belfer, S Reddy… - PAIS …, 2022 - ebooks.iospress.nl
Existing work on generating hints in Intelligent Tutoring Systems (ITS) focuses mostly on
manual and non-personalized feedback. In this work, we explore automatically generated …
manual and non-personalized feedback. In this work, we explore automatically generated …
Rtrl: Relation-aware transformer with reinforcement learning for deep question generation
Deep question generation is an important yet challenging NLP task where a multi-step
reasoning chain connecting multiple documents is required to answer the questions. In this …
reasoning chain connecting multiple documents is required to answer the questions. In this …
Entity guided question generation with contextual structure and sequence information capturing
Question generation is a challenging task and has attracted widespread attention in recent
years. Although previous studies have made great progress, there are still two main …
years. Although previous studies have made great progress, there are still two main …
Improving paragraph-level question generation with extended answer network and uncertainty-aware beam search
Question Generation (QG), which aims to generate a question given the relevant context, is
essential to build conversational and question–answering systems. Existing neural question …
essential to build conversational and question–answering systems. Existing neural question …