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.
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Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

paratext Full Text OpenAlex 908 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 365 FWCI156.1643

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

article Full Text OpenAlex 190 FWCI30.7729

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

article Full Text OpenAlex 187 FWCI56.1161

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

article Full Text OpenAlex 135 FWCI57.8975

Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models

preprint Full Text OpenAlex 134 FWCI21.8158

Large Language Models can Accurately Predict Searcher Preferences

article Full Text OpenAlex 132 FWCI91.018

ChatClimate: Grounding conversational AI in climate science

article Full Text OpenAlex 119 FWCI19.2585

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

article Full Text OpenAlex 112 FWCI48.1457