Papers Question Rewriting
“Question Rewriting” 태그가 달린 논문 26편 · 필터 해제
Fine-Tuning LLMs for Reliable Medical Question-Answering Services
We present an advanced approach to medical question-answering (QA) services, using fine-tuned Large Language Models (LLMs) to improve the accuracy and reliability of healthcare information. Our study focuses on optimizin…
Decision MakingMedical Question AnsweringQuestion AnsweringQuestion RewritingExplainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling
In response to the increasing use of interactive artificial intelligence, the demand for the capacity to handle complex questions has increased. Multi-hop question generation aims to generate complex questions that requi…
Question AnsweringQuestion GenerationQuestion-GenerationQuestion RewritingOn the Robustness of Question Rewriting Systems to Questions of Varying Hardness
In conversational question answering (CQA), the task of question rewriting~(QR) in context aims to rewrite a context-dependent question into an equivalent self-contained question that gives the same answer. In this paper…
Conversational Question AnsweringQuestion AnsweringQuestion RewritingKGConv, a Conversational Corpus grounded in Wikidata
We present KGConv, a large, conversational corpus of 71k conversations where each question-answer pair is grounded in a Wikidata fact. Conversations contain on average 8.6 questions and for each Wikidata fact, we provide…
Knowledge GraphsQuestion AnsweringQuestion GenerationQuestion-Generation+1VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models
The VNHSGE (VietNamese High School Graduation Examination) dataset, developed exclusively for evaluating large language models (LLMs), is introduced in this article. The dataset, which covers nine subjects, was generated…
Multiple-choiceQuestion AnsweringQuestion RewritingReading Comprehension+2Instruction Tuned Models are Quick Learners
Instruction tuning of language models has demonstrated the ability to enhance model generalization to unseen tasks via in-context learning using a few examples. However, typical supervised learning still requires a pleth…
In-Context LearningMulti-Task LearningQuestion RewritingTransfer LearningQURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing
Context-dependent Text-to-SQL aims to translate multi-turn natural language questions into SQL queries. Despite various methods have exploited context-dependence information implicitly for contextual SQL parsing, there a…
Question RewritingSemantic ParsingSQL ParsingText to SQL+1Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
Having an intelligent dialogue agent that can engage in conversational question answering (ConvQA) is now no longer limited to Sci-Fi movies only and has, in fact, turned into a reality. These intelligent agents are requ…
Conversational Question AnsweringQuestion AnsweringQuestion RewritingImproving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
Complex knowledge base question answering can be achieved by converting questions into sequences of predefined actions. However, there is a significant semantic and structural gap between natural language and action sequ…
Knowledge Base Question AnsweringLanguage ModelingLanguage ModellingQuestion Answering+1Reinforced Question Rewriting for Conversational Question Answering
Conversational Question Answering (CQA) aims to answer questions contained within dialogues, which are not easily interpretable without context. Developing a model to rewrite conversational questions into self-contained …
Conversational Question AnsweringQuestion AnsweringQuestion RewritingRetrievalCoQAR: Question Rewriting on CoQA
Questions asked by humans during a conversation often contain contextual dependencies, i.e., explicit or implicit references to previous dialogue turns. These dependencies take the form of coreferences (e.g., via pronoun…
Conversational Question AnsweringFormQuestion AnsweringQuestion RewritingCan Question Rewriting Help Conversational Question Answering?
Question rewriting (QR) is a subtask of conversational question answering (CQA) aiming to ease the challenges of understanding dependencies among dialogue history by reformulating questions in a self-contained form. Desp…
Conversational Question AnsweringQuestion AnsweringQuestion Rewritingreinforcement-learning+1From Rewriting to Remembering: Common Ground for Conversational QA Models
In conversational QA, models have to leverage information in previous turns to answer upcoming questions. Current approaches, such as Question Rewriting, struggle to extract relevant information as the conversation unwin…
Question RewritingCan Open Domain Question Answering Systems Answer Visual Knowledge Questions?
The task of Outside Knowledge Visual Question Answering (OKVQA) requires an automatic system to answer natural language questions about pictures and images using external knowledge. We observe that many visual questions,…
Open-Domain Question AnsweringQuestion AnsweringQuestion RewritingVisual Question Answering+1Question rewriting? Assessing its importance for conversational question answering
In conversational question answering, systems must correctly interpret the interconnected interactions and generate knowledgeable answers, which may require the retrieval of relevant information from a background reposit…
Conversational Question AnsweringQuestion AnsweringQuestion RewritingRetrievalDitch the Gold Standard: Re-evaluating Conversational Question Answering
Conversational question answering aims to provide natural-language answers to users in information-seeking conversations. Existing conversational QA benchmarks compare models with pre-collected human-human conversations,…
Conversational Question AnsweringQuestion AnsweringQuestion RewritingFrom Rewriting to Remembering: Common Ground for Conversational QA Models
In conversational QA, models have to leverage information in previous turns to answer upcoming questions. Current approaches, such as Question Rewriting, struggle to extract relevant information as the conversation unwin…
Question RewritingDitch the Gold Standard: Re-evaluating Conversational Question Answering
Conversational question answering (CQA) systems aim to provide natural-language answers to users in information-seeking conversations. Existing benchmarks compare CQA models on pre-collected human-human conversations, wi…
Conversational Question AnsweringQuestion AnsweringQuestion RewritingLearn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
One of the main challenges in conversational question answering (CQA) is to resolve the conversational dependency, such as anaphora and ellipsis. However, existing approaches do not explicitly train QA models on how to r…
Conversational Question AnsweringQuestion AnsweringQuestion RewritingVisual Question Rewriting for Increasing Response Rate
When a human asks questions online, or when a conversational virtual agent asks human questions, questions triggering emotions or with details might more likely to get responses or answers. we explore how to automaticall…
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