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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, +2 more
235citations -
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning2026 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Recommender Systems and Techniques Open access
Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren
1citations -
Performance of Rag-Based Systems in Industrial Organizations: a Case Study in the Automotive Industry2025 IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) conference-paper Computer Science Information Retrieval and Search Behavior
Nils Mayat, Charlotte Wachter, Sonja Spatzenegger, Marcos Padrón Hinrichs, Tim Weißer, Robert Heinrich Schmitt
1citations -
Bibliometric‐enhanced legal information retrieval: Combining usage and citations as flavors of impact relevance2023 Journal of the Association for Information Science and Technology article Computer Science Information Retrieval and Search Behavior Open access
Gineke Wiggers, Suzan Verberne, Wouter van Loon, Gerrit‐Jan Zwenne
23citations -
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks2026 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Reinforcement Learning in Robotics Open access
Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova
0citations -
Efficient Sequence Training of Attention Models Using Approximative Recombination2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis
Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney
3citations -
Automated design of error-resilient and hardware-efficient deep neural networks2020 Neural Computing and Applications article Computer Science Advanced Neural Network Applications Open access cited by 2 patents
Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid
40citations