Papers Question Similarity
“Question Similarity” 태그가 달린 논문 65편 · 필터 해제
AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic
Encoder-only transformer models remain widely used for discriminative NLP tasks, yet recent architectural advances have largely focused on English. In this work, we present AraModernBERT, an adaptation of the ModernBERT …
Natural Language UnderstandingQuestion SimilarityMetric-Fair Prompting: Treating Similar Samples Similarly
We introduce \emph{Metric-Fair Prompting}, a fairness-aware prompting framework that guides large language models (LLMs) to make decisions under metric-fairness constraints. In the application of multiple-choice medical …
Question SimilarityQuestion AnsweringA Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
To assist users in complex tasks, LLMs generate plans: step-by-step instructions towards a goal. While alignment methods aim to ensure LLM plans are helpful, they train (RLHF) or evaluate (ChatbotArena) on what users pre…
Question SimilarityKCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Educators evaluate student knowledge using knowledge component (KC) models that map assessment questions to KCs. Still, designing KC models for large question banks remains an insurmountable challenge for instructors who…
ClusteringDescriptiveLarge Language ModelQuestion SimilarityPersonalized LLM for Generating Customized Responses to the Same Query from Different Users
Existing work on large language model (LLM) personalization assigned different responding roles to LLM, but overlooked the diversity of questioners. In this work, we propose a new form of questioner-aware LLM personaliza…
Contrastive LearningDiversityLanguage ModelingLanguage Modelling+3Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)
The goal of this work was to compute the semantic similarity among publicly available health survey questions in order to facilitate the standardization of survey-based Person-Generated Health Data (PGHD). We compiled va…
Computational EfficiencyQuestion SimilaritySemantic SimilaritySemantic Textual Similarity+6QEQR: An Exploration of Query Expansion Methods for Question Retrieval in CQA Services
CQA services are valuable sources of knowledge that can be used to find answers to users' information needs. In these services, question retrieval aims to help users with their information needs by finding similar questi…
Question SimilarityRetrievalWord SimilarityLearning Metadata-Agnostic Representations for Text-to-SQL In-Context Example Selection
In-context learning (ICL) is a powerful paradigm where large language models (LLMs) benefit from task demonstrations added to the prompt. Yet, selecting optimal demonstrations is not trivial, especially for complex or mu…
In-Context LearningQuestion SimilarityRepresentation LearningText to SQL+1Aspect-oriented Consumer Health Answer Summarization
Community Question-Answering (CQA) forums have revolutionized how people seek information, especially those related to their healthcare needs, placing their trust in the collective wisdom of the public. However, there ca…
Abstractive Text SummarizationCommunity Question AnsweringQuestion AnsweringQuestion SimilarityDAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing
In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students' mastery of knowledge concepts to provide high-quality education. In KT, there are nat…
Knowledge TracingQuestion SimilarityQSTS: A Question-Sensitive Text Similarity Measure for Question Generation
While question generation (QG) has received significant focus in conversation modeling and text generation research, the problems of comparing questions and evaluation of QG models have remained inadequately addressed. I…
Question GenerationQuestion-GenerationQuestion SimilaritySemantic Similarity+3Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching
To investigate the role of linguistic knowledge in data augmentation (DA) for Natural Language Processing (NLP), we designed two adapted DA programs and applied them to LCQMC (a Large-scale Chinese Question Matching Corp…
Data AugmentationLanguage ModellingQuestion SimilaritySemantic Text Matching+1Calculating Question Similarity is Enough: A New Method for KBQA Tasks
Knowledge Base Question Answering (KBQA) aims to answer natural language questions with the help of an external knowledge base. The core idea is to find the link between the internal knowledge behind questions and known …
Entity LinkingKnowledge Base Question AnsweringLanguage ModelingLanguage Modelling+3Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
The ability to generate natural-language questions with controlled complexity levels is highly desirable as it further expands the applicability of question generation. In this paper, we propose an end-to-end neural comp…
Mixture-of-ExpertsQuestion GenerationQuestion-GenerationQuestion SimilarityGeneral Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings
Large pretrained language models (PreLMs) are revolutionizing natural language processing across all benchmarks. However, their sheer size is prohibitive for small laboratories or for deployment on mobile devices. Approa…
CoLALinguistic AcceptabilityNatural Language InferenceQuestion Similarity+4A Practical 2-step Approach to Assist Enterprise Question-Answering Live Chat
Live chat in customer service platforms is critical for serving clients online. For multi-turn question-answering live chat, typical Question Answering systems are single-turn and focus on factoid questions; alternativel…
Community Question AnsweringQuestion AnsweringQuestion SimilarityApplying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity
Search is one of the most common platforms used to seek information. However, users mostly get overloaded with results whenever they use such a platform to resolve their queries. Nowadays, direct answers to queries are b…
QQPQuestion SimilarityRetrievalSemantic Textual Similarity+3MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
We study the zero-shot transfer capabilities of text matching models on a massive scale, by self-supervised training on 140 source domains from community question answering forums in English. We investigate the model per…
Answer SelectionCommunity Question AnsweringMulti-Task LearningQuestion Answering+2Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs
People increasingly search online for answers to their medical questions but the rate at which medical questions are asked online significantly exceeds the capacity of qualified people to answer them. This leaves many qu…
Question AnsweringQuestion SimilaritySemantic SimilaritySemantic Textual Similarity+1The Inception Team at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
This paper describes our method for the task of Semantic Question Similarity in Arabic in the workshop on NLP Solutions for Under-Resourced Languages (NSURL). The aim is to build a model that is able to detect similar se…
Question Similarity