Question Similarity
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Benchmarks
Q2Q Arabic Benchmark
Most implemented
Deep Learning Models for Multilingual Hate Speech Detection
A Question-Entailment Approach to Question Answering
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Personalized LLM for Generating Customized Responses to the Same Query from Different Users
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing
Papers
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+6