HackerPapers

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28734 retained paper pages. Page 268 of 288.

  1. Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-making

    David Wingate, Sheryl Carty, Joshua Coates, Daniel Feldman, Nancy Fulda, Larry Howell, Brett Israelson, Dallin Jacobs, Jonathan Karr, John Paul Kimes, Elisabeth Kincaid, Paul Martens, Gavin Mobley, Suzana Pinheiro, Lindsay Slemboski, Peter Whiting · 2026

  2. MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing

    Bangrui Xu, Ziyang Miao, Xuanhe Zhou, Yiming Lin, Zirui Tang, Xiaomeng Zhao, Fan Wu, Cheng Tan, Fan Wu, Bin Wang, Conghui He · 2026

  3. A Hamiltonian-Inspired Local-Operator Ansatz for Slimming Large Language Models

    Ying Lu, Peng-Fei Zhou, Qi-Xuan Fang, Pan Zhang, Shi-Ju Ran, Gang Su · 2026

  4. Heimdall: Formally Verified Automated Migration of Legacy eBPF Programs to Rust

    Vishnu Asutosh Dasu, Monika Santra, Md Rafi Ur Rashid, Ashish Kumar, Saeid Tizpaz-Niari, Gang Tan · 2026

  5. Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing

    Michał Brzozowski, Zuzanna Dubanowska, Enrico Cassano, Neo Christopher Chung · 2026

  6. Continual Speaker Identity Unlearning with Minimal Interference

    Jinju Kim, Yunsung Kang, Gyeong-Moon Park, Jong Hwan Ko · 2026

  7. Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals

    Federico Torrielli, Peter Schneider-Kamp, Lukas Galke Poech · 2026

  8. Paris 2.0: A Decentralized Diffusion Model for Video Generation

    Ali Rouzbayani, Bidhan Roy, Marcos Villagra, Zhiying Jiang · 2026

  9. Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference

    Sangyun Lee, Sean McLeish, Tom Goldstein, Giulia Fanti · 2026

  10. Tool-Schema Compression Enables Agentic RAG Under Constrained Context Budgets

    Furkan Sakizli · 2026

  11. Stateful Inference for Low-Latency Multi-Agent Tool Calling

    Victor Norgren · 2026

  12. Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems

    Jianing Zhu, Yeonju Ro, John Robertson, Kevin Wang, Junbo Li, Haris Vikalo, Aditya Akella, Zhangyang Wang · 2026

  13. ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence

    Rui Meng, Bhavana Dalvi Mishra, Jiefeng Chen, Chun-Liang Li, Palash Goyal, Mihir Parmar, Yiwen Song, Yale Song, Rajarishi Sinha, Parthasarathy Ranganathan, Burak Gokturk, Jinsung Yoon, Tomas Pfister · 2026

  14. Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories

    Sil Hamilton, David Mimno · 2026

  15. Conceptual Steganography

    Zhejian Zhou, Jonathan May · 2026

  16. Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding

    Soongyu Choi, Yuntae Kim, Muyoung Son, Joo-Young Kim · 2026

  17. It's Not the Capability: Harness Sensitivity Is Non-Monotone Across LLM Agent Tiers

    Yong-eun Cho · 2026

  18. On the GitHub Actions Language: Usage, Evolution, and Workflow Reliability

    Aref Talebzadeh Bardsiri, Alexandre Decan, Tom Mens · 2026

  19. Atomically precise mechanosynthesis of carbon structures on hydrogenated Si(100) by inverted-mode STM

    Megan Cowie, Chris Deimert, Ryan Groome, Alex Inayeh, Robert J. Kirby, Cameron J. Mackie, Jonathan Myall, Sam Rohe, Luis Sandoval, Khalil Sayed-Akhmad, Bheeshmon Thanabalasingam, Reid Wotton, Rafik Addou, Aly Asani, Brandon Blue, Adam Bottomley, Kareem A. Clarcia, Tyler Enright, James Zhangming Fan, Robert A. Freitas, Alan T. K. Godfrey, Si Yue Guo, Aru Hill, Taleana Huff, Mark Jobes, Hadiya Ma, Adam C. Maahs, Oliver MacLean, Steven M. Maley, Michael Marshall, Terry McCallum, Ralph C. Merkle, Mathieu Morin, Ryan Plumadore, Henry Rodriguez, Marc Savoie, Benjamin Scheffel, Janice L. Wong, Damian G. Allis, Jeremy Barton, Michael Drew, Matthew R. Kennedy, Tait Takatani, Marco Taucer, Dusan Vobornik, Ryan Yamachika, Mathieu Durand · 2026

  20. SIA: Self Improving AI with Harness & Weight Updates

    Prannay Hebbar, Yogendra Manawat, Samuel Verboomen, Alesia Ivanova, Selvam Palanimalai, Kunal Bhatia, Vignesh Baskaran · 2026

  21. Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini

    Madhuri Shanbhogue, Zhe Li, Shanfeng Zhang, Gustavo Hernández Ábrego, Shih-Cheng Huang, Aashi Jain, Daniel Salz, Sonam Goenka, Chaitra Hegde, Ji Ma, Feiyang Chen, Jiaxing Wu, Tanmaya Dabral, Babak Samari, Kevin Poulet, Daniel Cer, Kaifeng Chen, Paul Suganathan, Hui Hui, Jovan Andonov, Philippe Schlattner, Jay Han, Iftekhar Naim, Wing Lowe, Vladimir Pchelin, Albert Yang, Yi-Ting Chen, Zhongli Ding, Grace Zhang, Georg Heigold, Yichang Chen, Antoine Reveillon, Brendan Mccloskey, Wenlei Zhou, Dahun Kim, Rui Meng, Emma Wang, Jack Zheng, Halley Fede, Zhen Yang, Keegan Mosley, Brian Potetz, Sahil Dua, Henrique Schechter Vera, Shen Gao, Hesen Zhang, Andreas Hess, Hengxuan Ying, Alberto Montes, Karan Gill, Min Choi, Sebastian Russo, Anja Hauth, Jinhyuk Lee, Michael Boratko, Megan Barnes, Vikram Rao, Claudiu Musat, Cyril Allauzen, Ehsan Variani, Shankar Kumar, Tom Bagby, Junyi Jiao, Yang Gu, Tengxin Li, Ayush Agrawal, Roberto Santana, Dev Nath, Stephen Karukas, Shuoxuan Han, Lucia Loher, Alice Twu, Nidhi Vyas, Siddharth Bhai, Frank Palma Gomez, Wangyuan Zhang, Chaoren Liu, Jizheng Yang, Steve Qiu, Shijie Zhang, Sujay Kulkarni, Sascha Rothe, Sean Nakamoto, Raphael Hoffmann, Zach Gleicher, Yunhsuan Sung, Qin Yin, Tom Duerig, Mojtaba Seyedhosseini · 2026

  22. MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation

    Huawei Lin, Peng Li, Jie Song, Fuxin Jiang, Tieying Zhang · 2026

  23. Algorithmic Monocultures in Hiring

    Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Jurafsky, Percy Liang · 2026

  24. Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access

    Nikita Benkovich, Vitalii Valkov · 2026

  25. Learn from your own latents and not from tokens: A sample-complexity theory

    Daniel J. Korchinski, Alessandro Favero, Matthieu Wyart · 2026

  26. CXL-ClusterSim: Modeling CXL-based Disaggregated Memory Cluster for Pooling and Sharing using gem5 and SST

    Kaustav Goswami, Maryam Babaie, Hoa Nguyen, Venkatesh Akella, Jason Lowe-Power · 2026

  27. A Fixed-Budget, Cluster-Aware Standard for LLM-as-a-Judge Evaluation: A Multi-Hop RAG Stress Test

    Camilo Chacón Sartori, José H. García · 2026

  28. VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild

    Xiaohongshu Inc · 2026

  29. Harness-Bench: Evaluating Agent Harnesses across Models and Realistic Workflows

    Yilun Yao, Xinyu Tan, Chao-Hsuan Liu, Yaoming Li, Zhengyang Wang, Zongwei Lv, Wenhan Yu, Zhewen Tan, Yuxuan Tian, Lin Sun, Xiangzheng Zhang, Guangxiang Zhao, Tong Yang · 2026

  30. Cybersecurity AI (CAI) Dataset

    Víctor Mayoral-Vilches · 2026

  31. ISAC Privacy: Challenges and Solutions for 6G

    Onur Günlü, Stefano Tomasin, João P. Vilela, Francesco Chiti, Prajnamaya Dass, Angeliki Alexiou, Utz Roedig · 2026

  32. Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity?

    Víctor Mayoral-Vilches, Francesco Balassone, María Sanz-Gómez, Paul Zabalegui Landa, Daniel Sánchez Prieto, Marina Oteiza Álvarez, Davide Quarta, Martin Pinzger · 2026

  33. AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

    Shanghua Gao, Ada Fang, Marinka Zitnik · 2026

  34. OpenURMA: A Clean-Room Open Implementation of the Unified Bus Protocol

    Bojie Li · 2026

  35. The sum-product conjecture is false for real numbers

    Thomas F Bloom, Will Sawin, Carl Schildkraut, Dmitrii Zhelezov · 2026

  36. LogDx-CI: Benchmarking Log Reduction Tools for LLM Root-Cause Diagnosis

    Bowen Qin · 2026

  37. Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening

    Mohan Zhang, Yuqi Jia, Zhen Tan, Steven Jiang, Neil Zhenqiang Gong, Tianlong Chen, Dawn Song · 2026

  38. The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane

    Tyler Akidau, Tyler Rockwood, Johannes Brüderl, Marc Millstone · 2026

  39. One Ring to Shuffle Them All: Scalable Intra-Process Data Redistribution with Ring-Buffer Shuffle in Redpanda Oxla

    Adam Szymański, Tyler Akidau · 2026

  40. Rotary GPU: Exploring Local Execution Paths for Large Mixture-of-Experts Models Under Limited GPU Memory

    Myeong Jun Jo · 2026

  41. S3C2 Summit 2025-07: Government Secure Supply Chain Summit

    Sivana Hamer, Pat Morrison, William Enck, Yasemin Acar, Michel Cukier, Alexandros Kapravelos, Christian Kästner, Dominik Wermke, Laurie Williams · 2026

  42. S3C2 Summit 2025-09: Industry Secure Supply Chain Summit

    Md Atiqur Rahman, Yasemin Acar, Michel Cucker, William Enck, Alexandros Kapravelos, Christian Kastner, Dominik Wermke, Laurie Williams · 2026

  43. PassNet: Scaling Large Language Models for Graph Compiler Pass Generation

    Yiqun Liu, Yingsheng Wu, Ruqi Yang, Enrong Zheng, Honglei Qiu, Sijun He, Tai Liang, Jingjing Wu, Yuhan Zhou, Yiwei Zhang, Dongyan Chen, Weihan Yi, Xinqi Li, Siqi Bao · 2026

  44. When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs

    Shuai Xiao, Su Liu, Weikai Zhou, Jialun Wu, Xinjie He, Zhiyuan Lin, Qiyang Xie · 2026

  45. Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention

    Jing Huang, Daniel Wurgaft, Rachit Bansal, Laura Ruis, Naomi Saphra, David Alvarez-Melis, Andrew Kyle Lampinen, Christopher Potts, Ekdeep Singh Lubana · 2026

  46. Scaling Laws for Agent Harnesses via Effective Feedback Compute

    Xuanliang Zhang, Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che · 2026

  47. The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer

    Tianhua Chen · 2026

  48. Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels

    Guneet Kohli · 2026

  49. Dissecting the Black Box: Circuit-Level Analysis of LLM Vulnerability Detection

    Syafiq Al Atiiq, Chun Zhou, Christian Gehrmann · 2026

  50. Formalizing Mathematics at Scale

    Ahmad Rammal, Niket Patel, Fabian Gloeckle, Amaury Hayat, Julia Kempe, Remi Munos, Charles Arnal, Vivien Cabannes · 2026

  51. Enhancing Multi-Agent Communication through Attention Steering with Context Relevance

    Hongxiang Zhang, Yuan Tian, Tianyi Zhang · 2026

  52. Automating Low-Risk Code Review at Meta: RADAR, Risk Calibration, and Review Efficiency

    Chris Adams, Arjun Singh Banga, Parveen Bansal, Souvik Bhattacharya, Payal Bhuptani, Rujin Cao, Pedro Canahuati, Nate Cook, Brian Ellis, Prabhakar Goyal, Gurinder Grewal, Tianyu He, Matt Labunka, Alex Manners, David Molnar, Ging Cee Ng, Vishal Parekh, Jiefu Pei, Frederic Sagnes, James Saindon, Will Shackleton, Sid Sidhu, Gursharan Singh, Karthik Chengayan Sridhar, Matt Steiner, Pratibha Udmalpet, Sean Xia, Stacey Yan, Audris Mockus, Peter Rigby, Nachiappan Nagappan · 2026

  53. Gram: Assessing sabotage propensities via automated alignment auditing

    David Lindner, Victoria Krakovna, Sebastian Farquhar · 2026

  54. Unlocking the Working Memory of Large Language Models for Latent Reasoning

    Lukas Aichberger, Sepp Hochreiter · 2026

  55. A Virtual Processor brings back the Free Lunch

    Haymo Kutschbach · 2026

  56. The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability

    Mikhail L. Arbuzov, Lee Mosbacker, Sisong Bei, Ziwei Dong, Dmitri Kalaev, Alexey Shvets · 2026

  57. Eywa: Provenance-Grounded Long-Term Memory for AI Agents

    Resham Joshi · 2026

  58. Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism

    Yijiong Yu, Huazheng Wang, Shuai Yuan, Ruilong Ren, Ji Pei · 2026

  59. A Persona-Based Evaluation Framework for Pluralistic Alignment in Generative AI

    Atahan Karagoz · 2026

  60. Augmented Lagrangian Predictive Coding

    Jeffrey Seely, Julian Gould · 2026

  61. Mellum2 Technical Report

    Marko Kojic, Ivan Bondyrev, Aral de Moor, Joseph Shtok, Petr Borovlev, Kseniia Lysaniuk, Madeeswaran Kannan, Ivan Dolgov, Nikita Pavlichenko · 2026

  62. GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization

    Zaid Khan, Justin Chih-Yao Chen, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal · 2026

  63. If LLMs Have Human-Like Attributes, Then So Does Age of Empires II

    Adrian de Wynter · 2026

  64. Business Utility of Large Language Models as Exploratory Data Analysis Agents

    Rafał Łabędzki, Patryk Miziuła, Hubert Rutkowski, Szymon Betlewski, Cezary Depta, Szymon Janowski, Jarosław Kochanowicz, Jan Kanty Milczek · 2026

  65. AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve

    Chaitanya Mamatha Ananda, Rajiv Gupta, Mircea Trofin, Aiden Grossman, Sriraman Tallam, Xinliang David Li, Amir Yazdanbakhsh · 2026

  66. Quantized Reasoning Models Think They Need to Think Longer, but They Do Not

    Sanae Lotfi, Polina Kirichenko, Steven Li, Zechun Liu · 2026

  67. GitHub Copilot and Developer Productivity: An Observational Dose-Response Analysis

    Alex Heilman, Alex Kyllo, Emerson Murphy-Hill · 2026

  68. Some Thoughts on the Future of Technosignature Searches: Constraining the Fermi Paradox

    Ian A. Crawford · 2026

  69. MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation

    Chuanjie Wu, Zhishang Xiang, Yunbo Tang, Zerui Chen, Qinggang Zhang, Jinsong Su · 2026

  70. Counterfactual Evidence Audits Predict LLM-Agent Susceptibility to Ranked Context

    Rana Muhammad Usman · 2026

  71. Autonomous agentic design for photonics

    Prashanta Kharel, Amin Khavasi, Xinzhong Chen, Tyler W. Hughes · 2026

  72. MelT: A Portable, Single-GEMM Mel Audio Frontend via Non-Uniform DFT with Measured Latency and Energy Gains on GPUs

    Augusto Camargo · 2026

  73. Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence

    Fiona Y. Wang, Markus J. Buehler · 2026

  74. Type-Error Ablation and AI Coding Agents

    Shriram Krishnamurthi, Matthew Flatt · 2026

  75. Benchmarking LLM-as-a-Judge for Long-Form Output Evaluation

    Junjie Chen, Yuxi Dong, Haitao Li, Weihang Su, Yujia Zhou, Min Zhang, Yiqun Liu, Qingyao Ai · 2026

  76. Scalable Concurrent Queues for GPU

    Pratheek Prakash Shetty, Thomas R. W. Scogland, Wu-chun Feng · 2026

  77. Argument Collapse: LLMs Flatten Long-Form Public Debate

    Yekyung Kim, Yapei Chang, Chau Minh Pham, Mohit Iyyer · 2026

  78. Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams

    Zewen Liu, Zhan Shi, Yisi Sang, Bing He, Minhua Lin, Tianxin Wei, Dakuo Wang, Benoit Dumoulin, Wei Jin, Hanqing Lu · 2026

  79. A Primer in Post-Training Reasoning Data: What We Know About How It Works

    Yaoming Li, Guangxiang Zhao, Qilong Shi, Lin Sun, Xiangzheng Zhang, Tong Yang · 2026

  80. The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing

    Michał Brzozowski, Neo Christopher Chung · 2026

  81. Optimized Point Addition Circuits for Elliptic Curve Discrete Logarithms

    André Schrottenloher · 2026

  82. Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization

    Yung-Chin Chen, Chung Peng Lee, Ze-Wei Liou, Naveen Verma · 2026

  83. Forget Attention: Importance-Aware Attention Is All You Need

    Suhyeong Shin, Yeongwook Yang · 2026

  84. O-POPE: High-Frequency Pipelined Outer Product based GEMM acceleration with minimal buffering overhead

    Danilo Cammarata, Angelo Garofalo, Luca Benini · 2026

  85. On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

    Mind Lab, :, Vin Bo, Song Cao, Vic Cao, Andrew Chen, Kaijie Chen, Cleon Cheng, Steven Chiang, Kaixuan Fan, Hera Feng, Huan Feng, Arthur Fu, Jun Gao, Hongquan Gu, Aaron Guan, Nolan Ho, Mutian Hong, Hailee Hou, Peixuan Hua, Charles Huang, Miles Jiang, Nora Jiang, Yuyi Jiang, Qiuyu Jin, Fancy Kong, Andrew Lei, Kyrie Lei, Alexy Li, Lucian Li, Ray Li, Theo Li, Wenhao Li, Zhihui Li, Allen Lin, Jiayi Lin, Kairus Liu, Kieran Liu, Logan Liu, Xiang Liu, Irvine Lu, Maeve Luo, Runze Lv, Pony Ma, Verity Niu, Anson Qiu, Vincent Wang, Rio Yang, Maxwell Yao, Carrie Ye, Regis Ye, Wenlin Ye, Josh Ying, Danney Zeng, Yuhan Zhan, Anya Zhang, Di Zhang, Ruijia Zhang, Shiyang Zhang, Sueky Zhang, Ya Zhang, Wei Zhao, Ada Zhou, Adrian Zhou, Yuhua Zhou, Xinyue Zhu, Murphy Zhuang · 2026

  86. Heterogeneous Mapping for Analog In-Memory Computing Accelerators: A Unified Workflow

    Corey Lammie · 2026

  87. AURA: Action-Gated Memory for Robot Policies at Constant VRAM

    Josef Chen · 2026

  88. Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models

    Sema Helali, Lina Abu Nada, Sausan Al Kawas, Alaa Abd-Alrazaq, Faleh Tamimi, Rafat Damseh · 2026

  89. PsychoPass: Geometric Profiling of Multi-Turn Adversarial LLM Conversations

    Muberra Ozmen, Subhabrata Majumdar · 2026

  90. Cost-Aware Optimization for Agentic Query Execution

    Lunyiu Nie, Yilin Xia, Yiren Liu, Christopher Jermaine, Swarat Chaudhuri · 2026

  91. RobotValues: Evaluating Household Robots When Human Values Conflict

    Jongwook Han, Hyeongjin Kim, Yohan Jo · 2026

  92. FORGE: Multi-Agent Graduated Exploitation and Detection Engineering

    Farooq Shaikh · 2026

  93. DMF: A Deterministic Memory Framework for Conversational AI Agents

    Matteo Stabile, Enrico Zimuel · 2026

  94. Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs

    Wenqi Chen, Ziyan Zhang, Bin Wang, Lin Liu, Hengheng Zhang, Zhengsu Chen · 2026

  95. Training a Predictive Coding Network on ImageNet using Equilibrium Propagation

    Tugdual Kerjan, Rasmus Høier, Benjamin Scellier · 2026

  96. Gender-Dependent Diagnostic Substitution in LLM Medical Triage: Same Symptoms, Unequal Urgency

    Qi Han Wong · 2026

  97. Chasing Lightning: Detecting, Characterizing, and Identifying a Powerful Space-Based GNSS Interference Source

    Zachary L. Clements, Argyris Kriezis, Todd E. Humphreys · 2026

  98. Same Weights, Different Robot: A Deployment Safety View of VLA Policies

    Jianwei Tai · 2026

  99. Qwen-Image-Flash: Rethinking the Training Recipe for Few-Step Distillation

    Tianhe Wu, Zikai Zhou, Kun Yan, Kaiyuan Gao, Lihan Jiang, Jiahao Li, Jie Zhang, Ningyuan Tang, Shengming Yin, Xiaoyue Chen, Xiao Xu, Yilei Chen, Yuxiang Chen, Yan Shu, Yixian Xu, Yanran Zhang, Zihao Liu, Zhendong Wang, Zekai Zhang, Deqing Li, Liang Peng, Yi Wang, Zeke Xie, Jingren Zhou, Bo Zheng, Chenfei Wu · 2026

  100. Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

    Glenn Jocher, Jing Qiu, Mengyu Liu, Shuai Lyu, Fatih Cagatay Akyon, Muhammet Esat Kalfaoglu · 2026