Optimizing efficiency and integrity in collaborative AI systems

Authors: Garcia Recasens, Pol

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Berral García, Josep Lluís, Torres Viñals, Jordi

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: cloud computing, large language models, resource management, federated learning, free-riding, privacy attacks, in-context learning, bias mitigation, synthetic data generation, Àrees temàtiques de la UPC::Informàtica, 004 - Informàtica

File Description: application/pdf

Access URL: https://hdl.handle.net/10803/698050
https://dx.doi.org/10.5821/dissertation-2117-472554

CSI-Free Symbol Detection for Atomic MIMO Receivers via In-Context Learning

Authors: Song, Zihang, Peng, Qihao, Xiao, Pei, Rajendran, Bipin, Simeone, Osvaldo

Source: 2026 IEEE 37th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Personal, Indoor and Mobile Radio Communications (PIMRC), 2026 IEEE 37th International Symposium on. :1-6 Sep, 2026

Relation: 2026 IEEE 37th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Transforming Hand-Drawn Use Case Sketches Into Standard-Based UML Use Case Models

Authors: Melo, Lucas D., Melo, Walt L.

Source: 2026 IEEE 34th International Requirements Engineering Conference Workshops (REW) REW Requirements Engineering Conference Workshops (REW), 2026 IEEE 34th International. :104-112 Aug, 2026

Relation: 2026 IEEE 34th International Requirements Engineering Conference Workshops (REW)

Prompt-MAML: Model-Agnostic Meta-in-Context Learning for Major Depressive Disorder Classification

Authors: Lifelo, Zita, Author, Ding, Jianguo, 1968-, Author, Wang, Zongjie, Author, Shi, Feifei, Author, Ning, Huansheng, Author, Dhelim, Sahraoui, Author

Contributors: Lifelo, Zita, Author, Ding, Jianguo, 1968-, Author, Wang, Zongjie, Author, Shi, Feifei, Author, Ning, Huansheng, Author, Dhelim, Sahraoui, Author

Source: Tsinghua Science and Technology. 31(5):2597-2610

Subject Terms: in-context learning, large language model, major depressive disorder detection, model-agnostic meta learning, multimodality

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-29927
https://doi.org/10.26599/TST.2025.9010116

How to quickly select good in-context examples in large language models for data-to-text tasks?

Authors: Li, Yulong, Author, Yang, Jiaoyun, Author, Jiang, Lili, Author, Liu, Shuo, Author, An, Ning, Author

Contributors: Li, Yulong, Author, Yang, Jiaoyun, Author, Jiang, Lili, Author, Liu, Shuo, Author, An, Ning, Author

Source: Natural Language Processing. 32(1):1-35

Subject Terms: in-context learning, data-to-text, large language models, double clustering, batched generation

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-247384
https://doi.org/10.1017/nlp.2025.10010

Adaptive Ticket Routing through Retrieval-Augmented In-Context Learning from Analyst Behaviour at CERT-EU

Authors: Diaz-Santos, Alex, Socha, Krzysztof

Source: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :7151-7161

Availability: http://dl.acm.org/doi/10.1145/3770855.3818313

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark

Authors: Hu, Ruofan, Zhu, Menghui, Zhu, Jieming, Chen, Bo, Xu, Shengyang, Hong, Minjie, Yang, Xiaoda, Zhou, Sashuai, Tang, Li, Jin, Tao, Zhao, Zhou

Source: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :1780-1791

Availability: http://dl.acm.org/doi/10.1145/3770855.3817680

DeMIC: Decentralized Meta In-Context Learning with Refiner-Guided Adaptation

Authors: Li, Mingyi, Zhang, Xiao, Chen, Zengzhe, Zhang, Jiawei, Yuan, Yuan, Guo, Wei, Zhuang, Fuzhen, Yu, Dongxiao

Source: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :2674-2685

Availability: http://dl.acm.org/doi/10.1145/3770855.3818159

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer

Authors: Wang, Ruoyu, Wu, Junda, Xia, Yu, Yu, Tong, Rossi, Ryan A., McAuley, Julian, Yao, Lina

Source: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :4999-5010

Availability: http://dl.acm.org/doi/10.1145/3770855.3818028

Toward Generalist Models for Structured Data: Fundamentals, Emerging Trends and Applications

Authors: Cui, Peng, Zhang, Xingxuan, Ye, Han-Jia, Chen, Jintai, Li, Shuyang

Source: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :13304-13307

Availability: http://dl.acm.org/doi/10.1145/3770855.3816456

Advancing Graph Few-Shot Learning via In-Context Learning

Authors: Guan, Renchu, Wang, Yajun, Guo, Chunli, Cao, Bowen, Giunchiglia, Fausto, Pang, Wei, Liu, Yonghao, Feng, Xiaoyue

Source: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :1369-1380

Availability: http://dl.acm.org/doi/10.1145/3770855.3817797

Find Tailored Step Example for Next Step: a Targeted Step-wise Retrieval Framework for Guiding LLM Reasoning

Authors: Yang, Cheng, Huang, Zhenya, He, Liyang, Gao, Weibo, Huang, Wei, Tong, Wei, Li, Xin

Source: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :5951-5962

Availability: http://dl.acm.org/doi/10.1145/3770855.3817997

Sleep-Inspired Replay-Driven Online Temporal Learning with Memristive Neuromorphic Hardware for Edge Systems

Authors: Tushar, Sree Nirmiillo Biswash, Alam, Sk Hasibul, Gonzales, Miranda, Lerner, Itamar, Schuman, Catherine D., Rose, Garrett S.

Source: Proceedings of the International Conference on Neuromorphic Systems. :265-272

Availability: http://dl.acm.org/doi/10.1145/3822454.3822474

Implicit Demonstration Augmentation for Robust and Stable In-Context Learning

Authors: Zhou, X., Lee, Z., Xie, R., Zou, L., Ye, W., Zhang, S.

Source: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 37(10):5369-5383 Oct, 2026

From Prompts to Protection: Large Language Model-Assisted In-Context Learning for Smart Public Safety UAV

Authors: Emami, Y., Zhou, H., Gaitan, M.G., Li, K., Almeida, L., Han, Z.

Source: IEEE Wireless Communications IEEE Wireless Commun. Wireless Communications, IEEE. 33(5):230-239 Oct, 2026

Few-Shot Fabric Defect Detection via Vision-Text Paired In-Context Learning and Two-Stage Reflection

Authors: Peng, Z., Liu, Z., Xing, T., Shen, Q., Wang, Z., He, C., Lou, J., Bi, Z.

Source: IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 26(18):27639-27650 Sep, 2026

Advancing In-Context Learning for Efficient and Stable Medical Report Generation

Authors: Li, M., Liu, R., Shi, Z., Han, M., Yao, L., Li, Z., Chang, X., Pohl, K.M., Islam, M.T., Xing, L.

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Trans. Pattern Anal. Mach. Intell. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 48(9):11183-11199 Sep, 2026

LayerDiffusion: High-Fidelity Layered Virtual Try-On via Semantic-Aware Diffusion

Authors: Liao, F., Zou, X., Wong, W.K.

Source: IEEE Transactions on Circuits and Systems for Video Technology IEEE Trans. Circuits Syst. Video Technol. Circuits and Systems for Video Technology, IEEE Transactions on. 36(8):11445-11458 Aug, 2026

LLM With Relation Classifier for Document-Level Relation Extraction

Authors: Li, X., Chen, K., Long, Y., Zhang, M.

Source: IEEE Transactions on Big Data IEEE Trans. Big Data Big Data, IEEE Transactions on. 12(4):1208-1219 Aug, 2026

Inference Under Opposition: Counterfactual Evaluation for Answer Stability in Large Language Models

Authors: Akhand, Md. Nafis Tahmid, Akbar, Khandakar Ashrafi, Thuraisingham, Bhavani

Source: 2026 IEEE International Conference on Information Reuse and Integration for Data Science (IRI) IRI Information Reuse and Integration for Data Science (IRI), 2026 IEEE International Conference on. :275-281 Jul, 2026

Relation: 2026 IEEE International Conference on Information Reuse and Integration for Data Science (IRI)