专题:Expert finding and Q&A systems

This cluster of papers focuses on the identification and retrieval of experts within online communities, particularly in the context of question answering platforms and social media. It explores various aspects such as user motivations, answer quality, relevance criteria, and techniques for routing questions to appropriate answerers.
最新文献
Social media promotion improves job market outcomes

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Reporting and Reviewing LLM-Integrated Systems in HCI: Challenges and Considerations

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CommSense: Facilitating Bias-Aware and Reflective Navigation of Online Comments for Rational Judgment

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A New Taxonomy of Web Search: A User-Centered Framework for Search Intent in the AI Era

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Evaluating Peer Fact-Checking on WhatsApp

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Open-ended Structured Question Assessment with Human-LLM Collaboration

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"Having Confidence in My Confidence Intervals": How Data Users Engage with Privacy-Protected Wikipedia Data

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From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model

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Meaning over Quantity: An Exploratory Study on How Relationship Intimacy Shapes Giver Query Formulation in LLM-based Gift Recommendation

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Overview of the NTCIR-18 FairWeb-2 Task

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近5年高被引文献
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

paratext Full Text OpenAlex 907 FWCI0

Proceedings of the 31st ACM International Conference on Multimedia

paratext Full Text OpenAlex 588 FWCI0

The manifold costs of being a non-native English speaker in science

article Full Text OpenAlex 341 FWCI151.7649

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

article Full Text OpenAlex 181 FWCI30.5

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

article Full Text OpenAlex 173 FWCI56.0511

Large Language Models can Accurately Predict Searcher Preferences

article Full Text OpenAlex 132 FWCI96.8027

Artificial intelligence to support publishing and peer review: A summary and review

article Full Text OpenAlex 130 FWCI57.7567

Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models

preprint Full Text OpenAlex 124 FWCI21.1079

ChatClimate: Grounding conversational AI in climate science

article Full Text OpenAlex 111 FWCI18.6619

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

article Full Text OpenAlex 108 FWCI48.0663