Xiaoqing Zhang
Orcid: 0000-0002-4532-2156Affiliations:
- Renmin University of China, School of Artificial Intelligence, Beijing, China
According to our database1,
Xiaoqing Zhang
authored at least 15 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models.
CoRR, May, 2025
CoRR, May, 2025
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News.
CoRR, May, 2025
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement.
CoRR, February, 2025
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
CoRR, January, 2025
SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
<i>The Truth Becomes Clearer Through Debate!</i> Multi-Agent Systems with Large Language Models Unmask Fake News.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns.
CoRR, 2024
CoRR, 2024
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations.
CoRR, 2024
CoRR, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2021
WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19.
Proceedings of the WSDM '21, 2021