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Найденные публикации

421

arXivПрепринт2026-10-18

Aligning Cultural Behaviors in Arabic Language Models via Preferences

Junhong Liang, Daniil Orel, Saeed Almheiri, Bilal Elbouardi, Younes Samih, Abed Alhakim Freihat, Zhuohan Xie, Momina Ahsan, Muhammad Dehan Al Kautsar, Sarfraz Ahmad, Omar El Herraoui, Mohamed Anwar, Preslav Nakov, Fajri Koto

Оригинал PDF

422

arXivПрепринт2026-10-18

Where and Why Search-Augmented LLMs Fail When Reasoning over Rapidly Evolving Knowledge

Tianyi Hu, Bhavyajeet Singh, Niket Tandon, Akhil Arora

Оригинал PDF

423

arXivПрепринт2026-10-18

It's Complicated: Factors Influencing the Effectiveness of LLM-Generated Feedback in a Live Programming Course

Tsvetomila Mihaylova, Arto Hellas, Bita Akram, Narges Norouzi, Peter Brusilovsky, Juho Leinonen

Оригинал PDF

424

arXivПрепринт2026-10-18

Legal Guidance in the Wild: How Users Seek Legal Help in Real-World LLM Conversations

Amirreza Mohseni, Gerasimos Spanakis

Оригинал PDF

425

arXivПрепринт2026-10-18

MemBubble: Benchmarking How Agent Memory Shapes LLM Response Diversity

Jiajun Tan, Fei Sun, Xinyu Ma, Shixuan Zhang, Du Su, Qi Cao, Daiting Shi, Huawei Shen, Xueqi Cheng

Оригинал PDF

426

arXivПрепринт2026-10-18

Trackable Skill Library Lifecycle Management for Agentic Reinforcement Learning

Xi Zhu, Yuanlin Duan, Changyi Yang, Kai Mei, Riyang Bao, Shichao Zhu, Dimitris N. Metaxas

Оригинал PDF

427

arXivПрепринт2026-10-18

The Bottleneck Is Retrieval, Not Reading: Diagnosing Evidence-Based Generation with RAG for Long Context Question Answering

Debopriyo Banerjee, Owais Aijaz, Ahmer Tabassum, Zhuohan Xie, Preslav Nakov, Veselin Stoyanov

Оригинал PDF

428

arXivПрепринт2026-10-18

Memory as Belief: Bayesian Evolution of Memory for Self-Evolving LLM Agents

Yiming Xu, Qian Yang, Zihan Chen, Yuefei Wu, Wenhan Zeng, Bin Shi, Bo Dong

Оригинал PDF

429

arXivПрепринт2026-10-18

Toward Agentic Retrieval-Augmented Generation for Enterprise Retail Workflows over Heterogeneous Data Sources

Jeonghwan Choi, Jibin Hwang, Hayoon Park, Hyeonjae Cheon, Hwanjun Song

Оригинал PDF

430

PubMedПубликация2026-10-14

A two-stage RAG-LLM pipeline for roadmapping neuroscience research in operational environments.

Cara A Spencer

Оригинал

431

PubMedПубликация2026-10-13

Agentic EEG Pipeline Synthesis Using Large Language Models and the Model Context Protocol.

Kylie K Higashionna, Jasmine M Meissner, Katy Tarrit

Оригинал

432

ZenodoПубликация2026-05-01

LLMs as Stratification Signals for KG Accuracy Evaluation

Marchesin, Stefano, Ceccarello, Matteo, Silvello, Gianmaria

Оригинал

433

ZenodoПубликация2026-01-01

Enhancing Large Language Models with External Knowledge Using Retrieval-Augmented Generation: A Critical Review of Retrieval Design, Context Compression, Safety and Evaluation, with a Conceptual Governance-Aware Architecture

Auti Pallavi S., Professor Bangar Abhishek P., Professor Karad Vandana A., Professor Bhosale Sachin B.

Оригинал

434

ZenodoПубликация2026-01-01

AI-Based Hallucination Detection in Large Language Models Learning: A Review

Navale Sanika Shashikant, Bangar Abhishek Popat, Bhosale Sachin Bajirao, Khatri Anand Ashok

Оригинал

435

ZenodoПубликация2026-01-01

Rag-Based Chatbots for Iot Device Troubleshooting: A Review

Pankaj Rajesh Bhakde, Professor Abhishek Popat Bangar, Professor S. B. Bhosale, Professor V. A. Karad

Оригинал

436

ZenodoПубликация2026-01-01

AI for Scientific Discovery: A Comprehensive Review of AI-Driven Reasoning, Autonomous Agents, and Evolutionary Search

Shinde Bhumika Haridas, Professor Bhosale S.B, Professor Bangar A.P, Professor Khatri A.A

Оригинал

437

ZenodoПубликация2026-01-01

AI-Based Detection of Hallucinated Outputs in Chatbots Using Retrieval-Augmented Generation: A Review and Conceptual Framework

Bhor Vaishnavi S., Professor Bangar Abhishek P., Professor Karad Vandana A., Professor Bhosale Sachin B.

Оригинал

438

ZenodoПубликация2026-01-01

CARE: A clinical agentic reasoning engine to enhance real-World diagnostic accuracy via structured medical reasoning

Li W., Zhang Y., Wang C., Li Y., He X., Wang A.L., Xu M., Zhang F., Sun H., Wang K., Yang R., Yao S., Xu Y., Wang H., Huang Y., Shi C., Li G., Gutiérrez SanRomán C., Wang L.

Оригинал

439

ZenodoПубликация2023-07-24

Reinforcement Learning Based Shift and Leave Optimization Engine Built on SAP SuccessFactors Time Management and SAP BTP Services

Weiss, Dr. Leonhardt, Moriyama, Keisuke, Kovalenko, Alina, Salgado, Victor, Kulkarni, Ananya

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