HackerPapers

All paper pages

28734 retained paper pages. Page 274 of 288.

  1. Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning

    Xinyan Guan, Jiali Zeng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Fandong Meng · 2026

  2. Tool Specifications Matter: Uncovering and Mitigating Safety Risks in AI Agents

    Minghui Pan, Jiayuxuan Yang, Yuanyuan Yuan, Yu Jiang, Zhenpeng Chen · 2026

  3. Language Models Agree With Each Other, Not With Readers

    Kazuki Nakayashiki, Keisuke Watanabe · 2026

  4. Zero-Mem: Zero-Token Memory Operations for LLM Agents

    Yilin Xiao, Zhehan Zhu, Yujing Zhang, Jin Chen, Zijin Hong, Luyao Zhuang, Qinggang Zhang, Shengyuan Chen, Xiaocao Ouyang, Lingfei Ren, Xiao Huang · 2026

  5. PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction

    Pirzada Suhail, Nagasai Saketh Naidu, Atanu R Sinha, Amit Sethi · 2026

  6. The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise

    Nolan Lovett · 2026

  7. From Code Review to Code Critique: Intent, Drift, and Spotlight for AI-Generated Diffs at Scale

    Chandra Maddila, Mashrur Rashik, Euna Mehnaz Khan, Smriti Jha, James Saindon, Nachi Nagappan, Peter C. Rigby · 2026

  8. Critical Sizes of Satellite Constellations

    Hugh G. Lewis · 2026

  9. Elastic Curves via Geometric Mechanics

    Oliver Gross, Rohit Jammula, Albert Chern · 2026

  10. Agentic Coding in the Wild: Characterizing GitHub Copilot Traces at Production Scale

    Banruo Liu, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Esha Choukse · 2026

  11. DiffusionGemma Technical Report

    DiffusionGemma Team, Adrien Ali Taïga, James Assiene, Daniele Calandriello, Rahma Chaabouni, João Gante, Tamara von Glehn, Nate Keating, Chris Knutsen, Martin Kukla, Tianlin Liu, Ivan Lobov, Ofir Nabati, João Gabriel Oliveira, Nicolas Perez-Nieves, Nastasia Prutianova, Bobak Shahriari, Jean Tarbouriech, Pavel Tyletski, Çağlar Ünlü, Cindy Wu, Glenn Cameron, Jerome Connor, Sertan Girgin, Maarten Grootendorst, Alon Levkovitch, Eliya Nachmani, Omar Sanseviero, Piotr Stanczyk, Quentin Berthet, Andrew Campbell, Clément Crepy, Valentin De Bortoli, Arnaud Doucet, Romuald Elie, Alexandre Galashov, Klaus Greff, Alexis Jacq, David Ruhe, Yu-Han Wu, Sebastian Flennerhag, Brendan O'Donoghue, George Scrivener, Shantanu Thakoor · 2026

  12. Benchmarking LLMs on File System Design and Implementation

    Yuqi Xue, Daixuan Li, Jian Huang · 2026

  13. Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators

    Haishan Zhu, Domi Yan, Michael Levesque-Dion, Changxu Zhang, Mitch Gamburg, Kirsten Lee, Giancarlo Colmenares, Aditya Bhagwat, Arnab De, Markus Le Roux, Victor Perez Carrasco, Xin Tong, Will Cromar, Simran Barnwal, Andrew Uderian, Sridhar Gopinath, Jan Szczepaniec, Daniel Neilson, Blaine Burton Rister, Jordan Fix, Jazlyn Li, Zejun Huang, Lite Ye, Nan Zhang, Xinchen Guo, Andiry Xu, Michael Roberts, Kunming Ho, Site Cao, Suryadev Sahadevan Rajesh, Tristan Trouwen, Mike Tsai, Jake Lee, Wayne Su, Yuhan Chen, Xiaolong Xie, David Eklov, Aaron Barnes, Max Bremer, Adam Belay, Shintaro Iwasaki, Roman Levenstein, Ajit Mathews · 2026

  14. HCCL: Collective Communication for Meta Training and Inference Accelerators

    Wesley Bland, Tiago Antunes, Lars Paul Huse, Chidambaram Muthu, Adel Abouchaev, Rabib Alam, Abdullah Alperen, Alexey Andronov, Jose Anto Akkara, Vineet Badhwar, Pavan Balaji, Daniel Berkovitch, Bartosz Bogdanski, Shmeelok Chakraborty, Sungjun Cho, John Choi, James Custer, Rodrigo De Castro, Nguyen Dinh Pham, Matthew Edwards, Kristian Evensen, Evan Ezell, Alex Finestead, Seth Goldstein, Prankur Gupta, Ranwei Hu, Adam Incera, Anand Jayaraman, Prashanth Kannan, Soumil Kanwal, Martin Karp, Sameer Kumar, Naina Kuruballi Mahesh, Wei Lin Guay, Cristian Lumezanu, Cory Modlin, Dag Georg Moxnes, Hoang Nam Nguyen, Ashay Narsale, Jaden Padua, Kirtesh Patil, Minh Pham, Amin Qassoud, Ashwin Ramachandran, David Ramon Prados, Pallavi Shurpali, Gregory R. Steinbrecher, John Sundharam, Vangelis Tasoulas, Fuhou Tian, Srinivas Vaidyanathan, Vimal Vasudevan, Nicolaas Viljoen, Daniel Winkelman, Yijing Zeng, Zhaoqi Zhu, Stig Arne Olsen, Gilad Goldfarb, Rajiv Krishnamurthy, Rajeev Nair, Jonas Olsson, Joseph Provine, Sreeram Ravinoothala, Shivayogi Ugaji, Hongyi Zeng, Nairan Zhang · 2026

  15. Physical Characterization of Moon Impactor 2025-010D

    Tanner Campbell, Adam Battle, Bill Gray, Juan A. Sanchez, David Cantillo, Lucille LeCorre, Vishnu Reddy · 2026

  16. CascadeLUT: Information-Ordered Streaming Inference for Bandwidth-Constrained FPGAs

    Oliver Cassidy, Marta Andronic, George A. Constantinides · 2026

  17. CADENA: Stepwise CAD Reverse Engineering

    Soslan Kabisov, Gennadiy Savrasov, Maksim Elistratov, Antonio Rodriguez, Daniil Ignatiev, Nikita Gavrilov, Rustam Uzdenov, Alexey I. Boyko, Igor Pasechnik, Anton Konushin, Andrey Kuznetsov, Dmitrii Zhemchuzhnikov · 2026

  18. An AI Approach to Verified Production Cryptographic Libraries

    Chuyue Sun, Su Fong, Zhiyi Kuang, Yizheng Jiao, Nina Narodytska, Haoze Wu, David L. Dill, Clark Barrett · 2026

  19. Context Compaction Theory

    Hayder Tirmazi, Sam Markelon, Allison Bishop, Michael Mitzenmacher · 2026

  20. An Internet for the KV Cache: Rethinking Classical Infrastructure Boundaries in the LLM Inference Age

    Siddhant Ray, Nick Feamster, Junchen Jiang · 2026

  21. VulnGym: Benchmarking Coding Agents for Repository-Level Vulnerability Detection

    Kexing Ji, Jiachen Liu, Enze Hu, Cuiyun Gao, Keke Lian, Yongheng Liu, Lei Zhang, Tian Dong, Hao Chen, Wang Bin · 2026

  22. Token-Native Storage: Read and Write in your Agent's Language

    Kumar Shivendu · 2026

  23. Why Large Language Models Fail at Tabular Prediction

    Marta Garnelo, Wojciech M. Czarnecki · 2026

  24. Solving the Shortest Vector Problem in $2^{0.6039n}$ Time via Mid-point Hessian

    Minki Hhan · 2026

  25. Beyond the Final Prompt: Measuring the Effect of Within-Conversation Context on AI Answers

    Benjamin Tannenbaum · 2026

  26. AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling

    Jiajun Liang, Yucheng Liao, Yukang Cao, Jiazhe Wei, Ken Li, Wende Tan, Jiankun Zhang, ZY Cui, Jingkang Yang, Liucheng Guo, Shiqi Yang, B. Yang, Caifeng Shan, Ziwei Liu, Chenyang Si · 2026

  27. TraceCompiler: Skill-Guided Mining and Compilation of LLM Agent Traces into Mostly Deterministic Workflows

    Salma El Yadouni, Guanyi Li · 2026

  28. Output-Aware Rotation for INT2 KV-Cache Quantization

    Vincent-Daniel Yun, Woosang Lim, Minsoo Cheong, Sunwoo Lee, Murali Annavaram, Sai Praneeth Karimireddy, Sungjoo Yoo · 2026

  29. Rings in the Sky: Orbital Data Centres and Potential Impacts to Astronomy and the Sky

    Aaron C. Boley, Samantha M. Lawler, Hanno Rein · 2026

  30. Evading Chain-of-Thought Monitoring Through Model Poisoning

    Giorgio Severi, Shujaat Mirza, Blake Bullwinkel, Amanda Minnich · 2026

  31. The crisis of AI-generated mathematics

    Max Weinreich · 2026

  32. SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels

    Yongwan Jo, Jinyoung Park, Euihyun Lee, Dokyung Song · 2026

  33. AI Security Leaderboard: Methodology, Results and Minimal Standard

    Jasper Timm, Lukas Struppek, Ziwei Xu, Grace Cheong, Oscar Mata, Dan Zhao, Mick Yang, Isadora De Andrade, Xiaojun Jia, Yiming Li, Samuel Bauer, Heather McIntyre, Adam Gleave, Edward Yee, Kellin Pelrine · 2026

  34. Self-Evolving Coding Agents

    Hao Zhou, Haichuan Hu, Tianyu Luo, Ye Shang, Chunrong Fang, Zhenyu Chen, Liang Xiao, Quanjun Zhang · 2026

  35. TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training

    Lingyun Zhang, Henghua Zhang, Shilei Gu, Kai Mo, Shuai Han, Shiyong Li, Yanpeng Wang, Dou Shen · 2026

  36. Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss

    Bakbergen Ryskulov, Iker García-Ferrero, David Montero, David Jansen, Ali Hashemi, Jezabel R. Garcia, Antonio Tiene, Román Orús · 2026

  37. MatrAIx: Simulating the World with 8.3 Billion Persona Agents

    Xiaomin Li, Yuexing Hao, Jianheng Hou, Jintao Huang, Qianfeng Wen, Shirley Huang, Yifan Liu, Xiaoyi Liu, Yilan Fan, Yijun Wang, Koutian Wu, Ruoqi Gao, Muhammad Ahmed Mohsin, Jing Tang, Brihi Joshi, Heming Liu, Zheyuan Deng, Zonglin Di, Sankalp Jajee, Jiuyao Lu, Zhiwei Zhang, Saksham Kapoor, Ishan Gupta, Yunhan Zhao, Chanwoo Park, Yucheng Lu, Bing Hu, Weihang Xiao, Aravind Mohan, Hanwen Xing, Runyu Zhang, Mihir Kulshreshtha, Yuanda Xu, Qianyu Zhu, Dianzhuo Wang, Yuxin Xiao, Bowen Jiang, Yongye Su, Wenhao Chai, Zuxin Liu, Lawrence Yunliang Chen, Xuandong Zhao, Ethan Ye, Shivam Patel, Jason Xie, Alex Martin Richmond, Weixiang Ding, Emre Okcular, Diya Mathew, Ziheng Wang, Rana M. Shahroz Khan, Zhejian Peng, Fang Wu, Fan Nie, Xinyang Han, Yubin Kim, Jiawei Zhang, Zhenting Qi, Huangyuan Su, Xu Pan, Abinitha Gourabathina, Hyewon Jeong, Hemanth Neelgund Ramesh, Kumail Alhamoud, Kimia Hamidieh, Zidi Xiong, Samuel Schmidgall, Pengrui Han, Yepeng Huang, Yongheng Wang, Bowen Yang, Alex Gu, Yuchu Wang, Akshay Paruchuri, Brenna Li, Hejie Cui, Jiayuan Ding, Chaosheng Dong, Jiahao Wang, Yixuan He, Chi Wang, Pamela Bhattacharya, Tianyi Peng, Paul Pu Liang, Mitchell Gordon, Yilun Du, Marinka Zitnik, James Zou, Prasanna Tambe, Philip Torr, Emily Fox, Asu Ozdaglar, Dawn Song · 2026

  38. SciCode-Verified: How Benchmark Defects Underestimated the Scientific-Coding Ability of Language Models

    Sihan Hu, Lyuhan Huang, Youjin Deng, Kun Chen · 2026

  39. Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes

    Junlin Han, Shengbang Tong, David Fan, Minghao Chen, Philip Torr, Filippos Kokkinos, Mike Lewis · 2026

  40. Towards a Risk Assessment of Malicious Skill Files in Coding Agents

    Rui Yang, Michael Fu, Kla Tantithamthavorn, Chetan Arora, Joey Chua · 2026

  41. The Hidden Life of Public Safety Communications Signals: A Comparative Security Analysis of TETRA, TETRAPOL, and P25

    Larry Hernandez, Sergey Bratus · 2026

  42. EvoHarness-RL: Learning Runtime Harness Coordination for Self-Evolving Agents

    Xuying Ning, Dongqi Fu, Tianxin Wei, Yuanchen Bei, Xiyuan Yang, Wujiang Xu, Yueqi Song, Bingxuan Li, Zihao Li, Hanqing Zeng, Xiang Shen, Yajuan Wang, Yifan Wu, Qifan Wang, Jiayi Liu, Hong Li, Yinglong Xia, Xiangjun Fan, Hanghang Tong, Jingrui He · 2026

  43. Answer First, Reason Later: When Commitment Order Costs Accuracy in Diffusion Language Models

    Jewon Yeom, Jaewon Sok, Seonghyeon Park, Jeongjae Park, Hwiyeong Lee, Taesup Kim · 2026

  44. The em-dash em-beds in Congress: A population-level rise in em-dash frequency in U.S. congressional press releases at the dawn of the large-language-model era, 2021-2025

    Przemysław Czuma · 2026

  45. Mind the Gaps: Mixture-of-Minds for Human Simulation

    Pranav Dahiya · 2026

  46. Reducing belief in conspiracy theories as they unfold using large language models

    Thomas H. Costello, Nathaniel Rabb, Michael Nicholas Stagnaro, Gordon Pennycook, David Rand · 2026

  47. The Illusion of Visual Tool-Use: A Causal Audit of Thinking with Images

    Zhiheng Wang, Bo Peng, Lai Wei, Chaochao Lu · 2026

  48. HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

    Varun Ursekar, Apaar Shanker, Yash Maurya, Shehab Yasser, Vijay S. Kalmath, Veronica Chatrath, Yuan Xue · 2026

  49. Atmospheric Light Pollution by Proposed Reflect Orbital Space Mirrors

    Miroslav Kocifaj, Gáspár Bakos, František Kundracik · 2026

  50. HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation

    Yuebo Luo, Ahmad Sedigh Baroughi, Philip Stachura, Le Chen, Venkatram Vishwanath, Zhenman Fang, Caiwen Ding · 2026

  51. Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census

    Vladimir Pitenin · 2026

  52. The Sync Heap: Delete First, Ask Questions Later

    Benjamin Aram Berendsohn, Egor Gorbachev, László Kozma · 2026

  53. "Operator, can you hear me?" A Faithful Line into the UNISOC Baseband

    Eduard Vlad, Philipp Mao, Marcel Busch, Haitham Hassanieh, Mathias Payer · 2026

  54. Diffusion LLMs as Targets and Adversaries: Mechanistic Safety Exploits

    Elena Dumitrescu, Gert Lek, Lydia Y. Chen, Jérémie Decouchant · 2026

  55. The Spectral Neuron

    Alex Shtoff · 2026

  56. Search over the Visual World: Persistent Visual Memory, Layered Indexes, and Source-Grounded Evidence

    Sankalp Nagaonkar, Rohit Garg, Ankit Raj, Ashish Choithani, Ashutosh Trivedi · 2026

  57. Quantization Degradation in Large Language Models: A Signal-Noise Perspective

    Chenxi Zhou, Pengfei Cao, Jinyu Ye, Bohan Yu, Haida Yu, Jiang Li, Jun Zhao, Kang Liu · 2026

  58. The Replay Gap: Static Evaluation of Model Switching in LLM Agents Scores the Wrong World

    Ashritha Gonuguntla · 2026

  59. SuperLocalMemory 4.0: The Governed Memory Operating System for AI Agents

    Varun Pratap Bhardwaj, Garima Singh, Arun Pratap Bhardwaj · 2026

  60. What Irregularity Costs: CUDA C++, Rust, and Triton on a Hash-Blocked GPU Workload

    Petr Korolev · 2026

  61. Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution

    Anton Razzhigaev, Andrei Gritsaev, Andrei Kaznacheev, Nikita Dragunov, Roman Yampolskiy, Andrei Kuznetsov · 2026

  62. A SAT Attack on Tarski's High School Algebra Problem

    Bernardo Subercaseaux, Benjamin Przybocki · 2026

  63. Full-bandwidth transformer

    Xi Wang, Ziyang Cai, Zheng Zhan, Harry Dong, Ying Fan, Gustavo de Rosa, Tim Pearce, John Langford · 2026

  64. SLAC: Access-Driven CPU-to-GPU Side-channel Attacks via System-Level Cache on Apple Silicon

    Tianhong Xu, Saion K. Roy, Ruyi Ding, Aidong Adam Ding, Yunsi Fei · 2026

  65. The Unseen Delta: Characterizing the Compiler Optimization Landscape via Top-Down Differential Analysis

    Zhibo Liu, Huaijin Wang, Shuai Wang · 2026

  66. Measuring the Wrong Thing: Internal Harmfulness Scores Anti-Rank Successful Jailbreaks

    Mingyu Luo, Ming Deng, Zilang Qiu, Yiming Cheng, Ci Tao, Xue Tan, Sijin Sun, Yangfu Li, Ping Chen, Jun Dai, Xiaoyan Sun · 2026

  67. A Preliminary Study on Simultaneous Coscheduling for Discrete GPU vs. Fused GPU

    Poorna Gunathilaka, Nabayan Chaudhury, Kirshanthan Sundararajah, Wu-chun Feng · 2026

  68. Full-Key Recovery and Forgery from One MQOM v2.1 Signature

    José Luis Delgado · 2026

  69. SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring

    Yuling Shi, Jinghan Xu, Kelin Fu, Wenhao Zeng, Shilin He, Lei Zhang, Yue Liu, Zelin Zhao, Terry Yue Zhuo, Jialun Cao, Siyu Ye, Tianyu Liu, Kai Cai, Shing-Chi Cheung, Xiaodong Gu · 2026

  70. Towards Expert-level Medical AI for Real-time Video Consultations

    Mahvish Nagda, Jihyeon Lee, Matthew Thompson, Chunjong Park, Tim Strother, Valentin Liévin, Roma Ruparel, Akshay Goel, Teya Bergamaschi, Suhana Bedi, Meet Shah, Pavel Dubov, Liviu Panait, Toshiyuki Fukuzawa, Sam Schmidgall, Craig Schiff, Joseph Xu, Aliya Rysbek, Yana Lunts, Jan Freyberg, Rebecca Hemengway, Sunny Virmani, David Racz, Carey Radebaugh, Joëlle Barral, Kavi Goel, Dale R. Webster, Katherine Chou, Avinatan Hassidim, Yossi Matias, James Manyika, Gregory Wayne, Tao Tu, Yun Liu, Ethan Goh, Christina Chen, Ryutaro Tanno, Po-Hsuan Cameron Chen, Mike Schaekermann, Anil Palepu · 2026

  71. Stealing Reasoning Traces from Proprietary LLM APIs

    Alexander Panfilov, David Schmotz, Ilia Shumailov, Luca Beurer-Kellner, Joachim Schaeffer, Ameya Prabhu, Jonas Geiping, Maksym Andriushchenko · 2026

  72. ArchAgent v2: A Case Study with the Data Prefetching Championship

    Abraham Gonzalez, Raghav Gupta, Akanksha Jain, Hanna Alam, Alexander Novikov, Po-Sen Huang, Matej Balog, Marvin Eisenberger, Sergey Shirobokov, Ngân Vũ, Hank Levy, Borivoje Nikolić, Sagar Karandikar, Martin Dixon, Parthasarathy Ranganathan · 2026

  73. Comprehending Python Repetition Structures: An Eye-Tracking Study with Novice Developers

    José Júnior Silva da Costa, Rohit Gheyi, José Aldo Silva da Costa, Márcio Ribeiro · 2026

  74. BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

    Björn Engdahl, Adrian Kosowski, Jan Chorowski, Zuzanna Stamirowska, Przemysław Uznański, Junlin Jiang, Rohan Phadke, Remigiusz Kinas, Richard Zhong · 2026

  75. WhichTok? Comparing Three TikTok Data Acquisition Tools

    Gayoung Jeon, Cameron Moy, Silvia Teliz, Cristina Monzer, Nicolette Alayon, Deen Freelon · 2026

  76. Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems

    Vassilis Papadopoulos, McNair Shah, Sam Zimmerman, Jack Lindsey · 2026

  77. GenRec: An LLM-Backed Recommendation Ranker at Netflix

    Ying Li, Shradha Sehgal, Arjun Rao, Rein Houthooft, Yaochen Zhu, Ashish Rastogi · 2026

  78. FaCTz: Fast Critical-Point and Topology-Aware GPU Compression for Scientific Vector Fields

    Mingze Xia, Yuxiao Li, Sheng Di, Jiannan Tian, Baixi Sun, Boyi Zhang, Bei Wang, Hanqi Guo, Xin Liang · 2026

  79. Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts

    Soumajyoti Sarkar, Yuxin Tang, Sheng Zha · 2026

  80. Most biomedical publications show signs of LLM-assisted writing

    Lena Holzwarth, Rita González-Márquez, Dmitry Kobak · 2026

  81. A Wandering 35,000-Solar-Mass Black Hole Fed by a Gravitational Wake

    Xin Li, Yong Shi, Fuyan Bian, Junfeng Wang, Shude Mao, Qiusheng Gu, Yifei Jin, Yanmei Chen, Zhiyuan Zheng, Qinwei Yuan, Xiaoling Yu · 2026

  82. Time to Move on: Querying without Nulls and Bags

    Molham Aref, Leonid Libkin, Wim Martens · 2026

  83. GitSkills: A Dataset of Agent Skills on GitHub

    Giuseppe Destefanis, Daniel Graziotin, Matteo Vaccargiu, Marco Ortu · 2026

  84. IO Factory: Simulating AI-Enabled Influence Campaigns at Scale

    Lukasz Olejnik, Wenchao Dong, Jonas R. Kunst, Signe Riemer-Sørensen, Tobias Herb, Meeyoung Cha, Daniel Thilo Schroeder · 2026

  85. Why Does CLAUDE.md Keep Growing? Catastrophic Remembering in Agentic Coding

    Kushal Chakrabarti · 2026

  86. New Lower and Upper Bounds for the Grothendieck Constant

    Rahul Saha, Alan Li, Anton Xue, Swarat Chaudhuri, Adam Klivans, Pravesh K Kothari, Raghu Meka · 2026

  87. Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collaboration

    Alan Li, Rahul Saha, Anton Xue, Swarat Chaudhuri, Adam Klivans, Pravesh K Kothari, Raghu Meka · 2026

  88. A Forced-Structure Reduction and Verifiable Bounds for Conway's 99-Graph

    Aalok Thakkar, Simone Severini · 2026

  89. Why AI Detection Fails for Academic Integrity

    Jonathan A. Karr, Grigorii Khvatskii, Ting Hua, Nitesh V. Chawla · 2026

  90. Agent Safety Should Be a Runtime Contract

    Albus W. Ng, Yi Han, Jusheng Zhang, Wenhao Wang · 2026

  91. When Agents Talk: Honeytokens under Shared Memory

    Joshua S. Gans · 2026

  92. The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark

    Jeremy Spence, Nicholas Assaderaghi, Feng Xiao, Jinhao Zhu, Nikil Ravi, Xiangyu Qi, Matthew Jagielski, Raluca Ada Popa, Eric Wallace, Guannan Wei, Yangruibo Ding, Zhuo Zhang · 2026

  93. Spec Sheets Are Not Kernels: An ISA- and Source-Level Audit of INT8 Availability on NVIDIA Blackwell Ultra

    Teng-Ruei Chen · 2026

  94. The Wording Effect: Quantifying Two-Way Drift in LLM Benchmark Performance

    Shailja Thakur, Sungeun An, Chad DeLuca, Hima Patel · 2026

  95. Cherenkov light as a mechanism for light flashes seen by astronauts in space

    Dominika Švecová, Pavol Bobík, Blahoslav Pastirčák · 2026

  96. Chemical fingerprints of binary mass transfer in massive stars

    Harim Jin, Norbert Langer · 2026

  97. OEIS Open: How many conjectures can language models turn into theorems?

    Tom Adamczewski · 2026

  98. Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control

    Josef Liyanjun Chen · 2026

  99. Information Abundance Paradox: Long-Context Training Undermines Parametric Knowledge

    Arda Uzunoglu, Benjamin Van Durme, Daniel Khashabi · 2026

  100. Large Language Models Can Follow Instructions, But Not Many at Once: Phase Transitions in Compositional Constraint Satisfaction

    Mariya I. Vasileva · 2026