Papers Community Question Answering
“Community Question Answering” 태그가 달린 논문 238편 · 필터 해제
Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering
In community question answering (cQA) platforms like Stack Overflow, related question retrieval is recognized as a fundamental task that allows users to retrieve related questions to answer user queries automatically. Al…
Community Question AnsweringSemantic SimilarityA Dataset and Benchmark for Consumer Healthcare Question Summarization
The quest for seeking health information has swamped the web with consumers health-related questions. Generally, consumers use overly descriptive and peripheral information to express their medical condition or other hea…
Natural Language UnderstandingCommunity Question AnsweringMulti-Document SummarizationComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry
Community Question Answering (CQA) platforms can be deemed as important knowledge bases in community, but effectively leveraging historical interactions and domain knowledge in real-time remains a challenge. Existing met…
Community Question AnsweringQuestion AnsweringRetrievalRetrieval-augmented GenerationYaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization
Automated summarization of healthcare community question-answering forums is challenging due to diverse perspectives presented across multiple user responses to each question. The PerAnsSumm Shared Task was therefore pro…
Community Question AnsweringQuestion AnsweringUMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning
We present our approach to the PerAnsSumm Shared Task, which involves perspective span identification and perspective-aware summarization in community question-answering (CQA) threads. For span identification, we adopt e…
Community Question AnsweringEnsemble LearningQuestion AnsweringTowards Robust Expert Finding in Community Question Answering Platforms
This paper introduces TUEF, a topic-oriented user-interaction model for fair Expert Finding in Community Question Answering (CQA) platforms. The Expert Finding task in CQA platforms involves identifying proficient users …
Community Question AnsweringQuestion AnsweringTip of the Tongue Query Elicitation for Simulated Evaluation
Tip-of-the-tongue (TOT) search occurs when a user struggles to recall a specific identifier, such as a document title. While common, existing search systems often fail to effectively support TOT scenarios. Research on TO…
Community Question AnsweringQuestion AnsweringRetrievalMulti-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains
Heterogeneous Text-Attributed Graphs (HTAGs), where different types of entities are not only associated with texts but also connected by diverse relationships, have gained widespread popularity and application across var…
Community Question AnsweringGraph LearningQuestion AnsweringSynthetic Data Generation with Large Language Models for Personalized Community Question Answering
Personalization in Information Retrieval (IR) is a topic studied by the research community since a long time. However, there is still a lack of datasets to conduct large-scale evaluations of personalized IR; this is main…
Community Question AnsweringInformation RetrievalQuestion AnsweringSynthetic Data GenerationLeveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms
Online Community Question Answering (CQA) platforms have become indispensable tools for users seeking expert solutions to their technical queries. The effectiveness of these platforms relies on their ability to identify …
Community Question AnsweringLearning-To-RankQuestion AnsweringSpecificityNo perspective, no perception!! Perspective-aware Healthcare Answer Summarization
Healthcare Community Question Answering (CQA) forums offer an accessible platform for individuals seeking information on various healthcare-related topics. People find such platforms suitable for self-disclosure, seeking…
Community Question AnsweringQuestion AnsweringAligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering
Code Community Question Answering (CCQA) seeks to tackle programming-related issues, thereby boosting productivity in both software engineering and academic research. Recent advancements in Reinforcement Learning from Hu…
Community Question AnsweringIn-Context LearningQuestion AnsweringAspect-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 SimilarityA General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching
Sentence semantic matching is a research hotspot in natural language processing, which is considerably significant in various key scenarios, such as community question answering, searching, chatbot, and recommendation. S…
ChatbotCommunity Question AnsweringHow to refund a wrong transaction in PhonePeMRPC+4Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
In the continuously advancing AI landscape, crafting context-rich and meaningful responses via Large Language Models (LLMs) is essential. Researchers are becoming more aware of the challenges that LLMs with fewer paramet…
Answer GenerationCommunity Question AnsweringKnowledge GraphsQuestion Answering+1Reinforcement learning for question answering in programming domain using public community scoring as a human feedback
In this study, we investigate the enhancement of the GPT Neo 125M performance in Community Question Answering (CQA) with a focus on programming, through the integration of Reinforcement Learning from Human Feedback (RLHF…
Community Question AnsweringQuestion AnsweringAnswer Retrieval in Legal Community Question Answering
The task of answer retrieval in the legal domain aims to help users to seek relevant legal advice from massive amounts of professional responses. Two main challenges hinder applying existing answer retrieval approaches i…
Community Question AnsweringQuestion AnsweringRetrievalPEPT: Expert Finding Meets Personalized Pre-training
Finding experts is essential in Community Question Answering (CQA) platforms as it enables the effective routing of questions to potential users who can provide relevant answers. The key is to personalized learning exper…
Community Question AnsweringLanguage ModellingQuestion AnsweringEnhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models
Community Question Answering (CQA) becomes increasingly prevalent in recent years. However, there are a large number of answers, which is difficult for users to select the relevant answers. Therefore, answer selection is…
Answer SelectionCommunity Question AnsweringLanguage ModelingLanguage Modelling+2Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards
Community Question-Answering (CQA) portals serve as a valuable tool for helping users within an organization. However, making them accessible to non-English-speaking users continues to be a challenge. Translating questio…
Community Question AnsweringDomain AdaptationLanguage ModellingMachine Translation+2