All paper pages
28734 retained paper pages. Page 266 of 288.
- The Catastrophic Consequences of Agnosticism for Life Searches and a Possible Workaround
David Kipping · 2026
- VDCores: Resource Decoupled Programming and Execution for Asynchronous GPU
Zijian He, Adrian Sampson, Yiying Zhang, Zhiyuan Guo · 2026
- Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs
Cole Ramos, Keith Lowery · 2026
- ProgramBench: Can Language Models Rebuild Programs From Scratch?
John Yang, Kilian Lieret, Jeffrey Ma, Parth Thakkar, Dmitrii Pedchenko, Sten Sootla, Emily McMilin, Pengcheng Yin, Rui Hou, Gabriel Synnaeve, Diyi Yang, Ofir Press · 2026
- Lectures on Condensed Mathematics
Peter Scholze · 2026
- GPUBreach: Privilege Escalation Attacks on GPUs using Rowhammer
Chris S. Lin, Yuqin Yan, Guozhen Ding, Joyce Qu, Joseph Zhu, David Lie, Gururaj Saileshwar · 2026
- Precomputed Lens Transport Maps
Yang Chen, Xiaochun Tong, Afet Abzar, Leo Hanxu, Matthew Avolio, Toshiya Hachisuka · 2026
- LCM: Lossless Context Management
Clint Ehrlich, Theodore Blackman · 2026
- LAWS: Learning from Actual Workloads Symbolically -- A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment
Gregory Magarshak · 2026
- Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures
Aaron Jarmusch, Sunita Chandrasekaran · 2026
- On the Architectural Complexity of Neural Networks
Nicholas J. Cooper, François G. Meyer, Michael L. Roberts, Carlos Zapata-Carratalá, Lijun Chen, Danna Gurari · 2026
- Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery
Zhenning Yang, Yuhan Chen, Patrick Tser Jern Kon, Tongyuan Miao, Hongyi Lin, Venkat Viswanathan, Danai Koutra, Ang Chen · 2026
- 423.7 + 426.5 Tb/s GMI Bi-Directional HCF Transmission
Jiaqian Yang, Romulo Aparecido, Eric Sillekens, Ronit Sohanpal, Mindaugas Jarmolovičius, Zelin Gan, Yang Hong, Morteza Kamalian-Kopae, Abdallah Ali, Shahab Bakhtiari Gorajoobi, Ruben S. Luís, Daniele Orsuti, Aleksandr Donodin, Vitaly Mikhailov, Jiawei Luo, David J. DiGiovanni, Nicolas Fontaine, Lauren Dallachiesa, Mikael Mazur, Roland Ryf, Haoshuo Chen, David Neilson, Ian D. Phillips, Wladek Forysiak, Sergei K. Turitsyn, Hideaki Furukawa, Jamie Gaudette, David J. Richardson, Benjamin J. Puttnam, Robert I. Killey, Polina Bayvel · 2026
- What Matters in Practical Learned Image Compression
Kedar Tatwawadi, Parisa Rahimzadeh, Zhanghao Sun, Zhiqi Chen, Ziyun Yang, Sanjay Nair, Divija Hasteer, Oren Rippel · 2026
- Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
Zhuofeng Li, Haoxiang Zhang, Cong Wei, Pan Lu, Ping Nie, Yi Lu, Yuyang Bai, Shangbin Feng, Hangxiao Zhu, Ming Zhong, Yuyu Zhang, Jianwen Xie, Yejin Choi, James Zou, Jiawei Han, Wenhu Chen, Jimmy Lin, Dongfu Jiang, Yu Zhang · 2026
- LLMorphism: When humans come to see themselves as language models
Valerio Capraro · 2026
- Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
Chen Zhang, Qijun Zhang, Zhuoshan Zhou, Yijia Diao, Haibo Wang, Zhe Zhou, Zhipeng Tu, Zhiyao Li, Guangyu Sun, Zhuoran Song, Zhigang Ji, Jingwen Leng, Minyi Guo · 2026
- MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems
Zhuoshan Zhou, Chen Zhang, Shuyi Zhang, Qijun Zhang, Haibo Wang, Zhe Zhou, Zhipeng Tu, Guangyu Sun, Yijia Diao, Zhigang Ji, Jingwen Leng, Guanghui He, Minyi Guo · 2026
- Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
Borja Aizpurua, Sukhbinder Singh, Augustine Kshetrimayum, Saeed S. Jahromi, Roman Orus · 2026
- MobileEgo Anywhere: Open Infrastructure for long horizon egocentric data on commodity hardware
Senthil Palanisamy, Abhishek Anand, Satpal Singh Rathore, Pratyush Patnaik, Shubhanshu Khatana, Ekaksh Janweja · 2026
- Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
Yaorui Shi, Yuxin Chen, Zhengxi Lu, Yuchun Miao, Shugui Liu, Qi GU, Xunliang Cai, Xiang Wang, An Zhang · 2026
- Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion Transformers
Pengqi Lu · 2026
- OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
Diane Tchuindjo, Devavrat Shah, Omar Khattab · 2026
- Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
Ömer Faruk Akgül, Rajgopal Kannan, Willie Neiswanger, Viktor Prasanna · 2026
- Lecture Notes on Statistical Physics and Neural Networks
Olaf Hohm · 2026
- Constraint Decay: The Fragility of LLM Agents in Backend Code Generation
Francesco Dente, Dario Satriani, Paolo Papotti · 2026
- To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study
Shota Sawada, Tatsuya Shirai, Yutaro Kashiwa, Ken'ichi Yamaguchi, Hiroshi Iwata, Hajimu Iida · 2026
- Process Matters more than Output for Distinguishing Humans from Machines
Milena Rmus, Mathew D. Hardy, Thomas L. Griffiths, Mayank Agrawal · 2026
- CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure
Eric Ding, Byungsoo Oh, Bhaskar Kataria, Kaiwen Guo, Jelena Gvero, Abhishek Vijaya Kumar, Arjun Devraj, Lindsey Bowen, Atharv Sonwane, Emaad Manzoor, Rachee Singh · 2026
- SkillOS: Learning Skill Curation for Self-Evolving Agents
Siru Ouyang, Jun Yan, Yanfei Chen, Rujun Han, Zifeng Wang, Bhavana Dalvi Mishra, Rui Meng, Chun-Liang Li, Yizhu Jiao, Kaiwen Zha, Maohao Shen, Vishy Tirumalashetty, George Lee, Jiawei Han, Tomas Pfister, Chen-Yu Lee · 2026
- Superintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval
Zeyu Yang, Xu Han, Qi Ma, Jason Chen, Anshumali Shrivastava · 2026
- AI co-mathematician: Accelerating mathematicians with agentic AI
Daniel Zheng, Ingrid von Glehn, Yori Zwols, Iuliya Beloshapka, Lars Buesing, Daniel M. Roy, Martin Wattenberg, Bogdan Georgiev, Tatiana Schmidt, Andrew Cowie, Fernanda Viegas, Dimitri Kanevsky, Vineet Kahlon, Hartmut Maennel, Sophia Alj, George Holland, Alex Davies, Pushmeet Kohli · 2026
- EMO: Pretraining Mixture of Experts for Emergent Modularity
Ryan Wang, Akshita Bhagia, Sewon Min · 2026
- UniPool: Learning Expert-to-Layer Ownership from Brief Global Access
Minbin Huang, Han Shi, Chuanyang Zheng, Yimeng Wu, Guoxuan Chen, Xintong Yu, Yichun Yin, Hong Cheng · 2026
- ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation
Omar El Khalifi, Thomas Rossi, Oscar Fossey, Thibault Fouque, Ulysse Mizrahi, Philip Torr, Ivan Laptev, Fabio Pizzati, Baptiste Bellot-Gurlet · 2026
- More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
Xiao Wang · 2026
- Domain-level metacognitive monitoring in frontier LLMs: A 33-model atlas
Jon-Paul Cacioli · 2026
- Language Models Can Autonomously Hack and Self-Replicate
Alena Air, Reworr, Nikolaj Kotov, Dmitrii Volkov, John Steidley, Jeffrey Ladish · 2026
- Big AI's Regulatory Capture: Mapping Industry Interference and Government Complicity
Abeba Birhane, Riccardo Angius, William Agnew, Harshvardhan J. Pandit, Bhaskar Mitra, Roel Dobbe, Zeerak Talat · 2026
- Beyond the Black Box: Interpretability of Agentic AI Tool Use
Hariom Tatsat, Ariye Shater · 2026
- Exploring the "Banality" of Deception in Generative AI
Ishitaa Narwane, Johanna Gunawan, Konrad Kollnig · 2026
- LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
Roy Xie, Dan Friedman, Donghan Yu, Bowen Pan, Christopher Fifty, Jang-Hyun Kim, Xianzhi Du, Zhe Gan, Vivek Rathod, Bhuwan Dhingra · 2026
- SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
Jackson Clark, Yiming Su, Saad Mohammad Rafid Pial, Yifang Tian, Lily Gniedziejko, Hans-Arno Jacobsen, Yinfang Chen, Tianyin Xu · 2026
- The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment
William Brach, Federico Torrielli, Stine Lyngsø Beltoft, Annemette Brok Pirchert, Peter Schneider-Kamp, Lukas Galke Poech · 2026
- Direction-Preserving Number Representations
Bardia Zadeh, George A. Constantinides · 2026
- The AI-Native Large-Scale Agile Software Development Manifesto
Ricardo Britto, Fredrik Palmgren, Nishrith Saini, Marcus Ohlin · 2026
- LLM hallucinations in the wild: Large-scale evidence from non-existent citations
Zhenyue Zhao, Yihe Wang, Toby Stuart, Mathijs De Vaan, Paul Ginsparg, Yian Yin · 2026
- Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson, Lukasz Golab · 2026
- What if AI systems weren't chatbots?
Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Avijit Ghosh · 2026
- MatterSim-MT: A multi-task foundation model for in silico materials characterization
Han Yang, Xixian Liu, Chenxi Hu, Yichi Zhou, Yu Shi, Chang Liu, Junfu Tan, Jielan Li, Guanzhi Li, Qian Wang, Yu Zhu, Zekun Chen, Shuizhou Chen, Fabian Thiemann, Claudio Zeni, Matthew Horton, Robert Pinsler, Andrew Fowler, Daniel Zügner, Tian Xie, Lixin Sun, Yicheng Chen, Lingyu Kong, Yeqi Bai, Deniz Gunceler, Frank Noé, Hongxia Hao, Ziheng Lu · 2026
- Normalizing Trajectory Models
Jiatao Gu, Tianrong Chen, Ying Shen, David Berthelot, Shuangfei Zhai, Josh Susskind · 2026
- Context-Augmented Code Generation: How Product Context Improves AI Coding Agent Decision Compliance by 49%
Drew Dillon, Kasyap Varanasi · 2026
- One-Positron Quantum Cyclotron
T. G. Myers, L. Soucy, B. A. D. Sukra, B. Sinha, G. Gabrielse · 2026
- Kettle: Attested builds for verifiable software provenance
Amean Asad, André Arko · 2026
- Deterministic Fully-Static Whole-Binary Translation without Heuristics
Hongyu Chen, James McGowan, Michael Franz · 2026
- A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models
Hamid Kazemi, Atoosa Chegini, Maria Safi · 2026
- Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection
Mingzhe Li, Zhiqiang Lin, Shiqing Ma · 2026
- Lattice Deduction Transformers
Liam Davis, Leopold Haller, Alberto Alfarano, Mark Santolucito · 2026
- Transforming the Use of Earth Observation Data: Exascale Training of a Generative Compression Model with Historical Priors for up to 10,000x Data Reduction
Jinxiao Zhang, Runmin Dong, Xiyong Wu, Xihan Huang, Shenggan Cheng, Yunkai Yang, Zheng Zhou, Yunpu Xu, Zhaoyang Luo, Miao Yang, Fan Wei, Mengxuan Chen, Yang You, Juepeng Zheng, Weijia Li, Yutong Lu, Haohuan Fu · 2026
- Choosing a JPEG Decoder for PyTorch DataLoaders: Workload-Specific Throughput on Four CPUs
Vladimir Iglovikov, Dmitry Kosarevsky · 2026
- Light Cone Consistency: Closure, Ordering, and the Single-Observer Boundary
Rob Landers, Kaben Kramer · 2026
- Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology
Jucheng Hu, Zhangquan Chen, Yulin Chen, Chengjie Hong, Liang Zhou, Tairan Wang, Sifei Li, Giulio Zhu, Feng Zhou, Yiheng Zeng, Suorong Yang, Dongzhan Zhou · 2026
- RigidFormer: Learning Rigid Dynamics using Transformers
Zhiyang Dou, Minghao Guo, Haixu Wu, Doug Roble, Tuur Stuyck, Wojciech Matusik · 2026
- Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training
Yuanyi Wang, Yifan Yang, Su Lu, Yanggan Gu, Pengkai Wang, Wenjun Wang, Zhaoyi Yan, Congkai Xie, Jianmin Wu, Jialun Cao, Shing-Chi Cheung, Hongxia Yang · 2026
- Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning
Ben Kereopa-Yorke, Guillermo Diaz, Holly Wright, Reagan Johnston, Ron F. Del Rosario, Timothy Lynar · 2026
- OpenZL: Using Graphs to Compress Smaller and Faster
Yann Collet, Nick Terrell, W. Felix Handte, Danielle Rozenblit, Victor Zhang, Kevin Zhang, Yaelle Goldschlag, Jennifer Lee, Elliot Gorokhovsky, Yonatan Komornik, Daniel Riegel, Stan Angelov, Nadav Rotem · 2026
- Continual Harness: Online Adaptation for Self-Improving Foundation Agents
Seth Karten, Joel Zhang, Tersoo Upaa, Ruirong Feng, Wenzhe Li, Chengshuai Shi, Chi Jin, Kiran Vodrahalli · 2026
- A Single-Molecule Spin-Photon Interface
Simon Roggors, Thomas Unden, Anna Aubele, Paul Mentzel, Gregor Bayer, Alon Salhov, Jochen Scharpf, Martin B. Plenio, Alex Retzker, Fedor Jelezko, Tim R. Eichhorn, Tobias A. Schaub, Matthias Pfender, Philipp Neumann, Ilai Schwartz · 2026
- From Large Telescopes to the MUltiplexed Survey Telescope (MUST)
Zheng Cai, Song Huang, Yu Liu, Cheng Zhao, Lei Huang · 2026
- Positive Alignment: Artificial Intelligence for Human Flourishing
Ruben Laukkonen, Seb Krier, Chloé Bakalar, Shamil Chandaria, Morten Kringelbach, Adam Elwood, Daniel Ford, Fernando Rosas, Maty Bohacek, Matija Franklin, Nenad Tomašev, Stephanie Chan, Verena Rieser, Roma Patel, Michael Levin, Arun Rao · 2026
- FractalSortCPU: Bandwidth-Efficient Compressed Radix Sort on CPU
Michael Dang'ana · 2026
- Every finite group admits a just finite presentation
Marc Lackenby · 2026
- Qwen-Image-2.0 Technical Report
Bing Zhao, Chenfei Wu, Deqing Li, Hao Meng, Jiahao Li, Jie Zhang, Jingren Zhou, Junyang Lin, Kaiyuan Gao, Kuan Cao, Kun Yan, Liang Peng, Lihan Jiang, Niantong Li, Ningyuan Tang, Shengming Yin, Tianhe Wu, Xiao Xu, Xiaoyue Chen, Xihua Wang, Yan Shu, Yanran Zhang, Yi Wang, Yilei Chen, Ying Ba, Yixian Xu, Yujia Wu, Yuxiang Chen, Zecheng Tang, Zekai Zhang, Zhendong Wang, Zihao Liu, Zikai Zhou, An Yang, Chen Cheng, Chenxu Lv, Dayiheng Liu, Fan Zhou, Hantian Xiong, Hongzhu Shi, Hu Wei, Huihong Zhao, Ivy Liu, Jianwei Zhang, Jiawei Zhang, Kai Chen, Kang He, Levon Xue, Lin Qu, Linhan Tang, Luwen Feng, Minggang Wu, Minmin Sun, Na Ni, Rui Men, Shuai Bai, Sishou Zheng, Tao Lan, Tianqi Zhang, Tingkun Wen, Wei Wang, Weixu Qiao, Weiyi Lu, Wenmeng Zhou, Xiaodong Deng, Xiaoxiao Xu, Xinlei Fang, Xionghui Chen, Yanan Wang, Yang Fan, Yichang Zhang, Yixuan Xu, Yu Wu, Zhiyuan Ma, Zhizhi Cai · 2026
- TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments
Yue Guan, Hongtao Yu, Peng Chen, Daohang Shi, Karthik Manivannan, Nicholas J Riasanovsky, Manman Ren, Lei Wang, Shane Nay, Partha Kanuparthy, Zaifeng Pan, Zhengding Hu, Yufei Ding · 2026
- On Talagrand's Convexity Conjecture
Dongming Merrick Hua, Antoine Song, Stefan Tudose · 2026
- Mechanism Design for Quality-Preserving LLM Advertising
Jiale Han, Xiaowu Dai · 2026
- MMTB: Evaluating Terminal Agents on Multimedia-File Tasks
Chiyeong Heo, Jaechang Kim, Junhyuk Kwon, Hoyoung Kim, Dongmin Park, Jonghyun Lee, Jungseul Ok · 2026
- ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?
Zhun Wang, Nico Schiller, Hongwei Li, Srijiith Sesha Narayana, Milad Nasr, Nicholas Carlini, Xiangyu Qi, Eric Wallace, Elie Bursztein, Luca Invernizzi, Kurt Thomas, Yan Shoshitaishvili, Wenbo Guo, Jingxuan He, Thorsten Holz, Dawn Song · 2026
- Sampling More, Getting Less: Calibration is the Diversity Bottleneck in LLMs
Amin Banayeeanzade, Qingchuan Yang, Dhruv Tarsadiya, Fatemeh Bahrani, Leonardo Blas, Alfy Samuel, Robin Jia, Meisam Razaviyayn, Sai Praneeth Karimireddy · 2026
- The Scaling Law of Evaluation Failure: Why Simple Averaging Collapses Under Data Sparsity and Item Difficulty Gaps, and How Item Response Theory Recovers Ground Truth Across Domains
Jung Min Kang · 2026
- Structured Belief State and the First Precision-Aware Benchmark for LLM Memory Retrieval
Jeffrey Flynt · 2026
- Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems
Bryan Min, Sangho Suh, Jim Hollan, Haijun Xia · 2026
- Ada-MK: Adaptive MegaKernel Optimization via Automated DAG-based Search for LLM Inference
Wenxin Dong, Mingqing Hu, Guanghui Yu, Qiang Fu, Peng Xu, Hui Xu, Yue Xing, Xuewu Jiao, Shuanglong Li, Lin Liu · 2026
- When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel
Wenkai Li, Fan Yang, Ananya Hazarika, Shaunak A. Mehta, Koichi Onoue · 2026
- Behavioral Integrity Verification for AI Agent Skills
Yuhao Wu, Tung-Ling Li, Hongliang Liu · 2026
- Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models
Boyi Deng, Xu Wang, Yaoning Wang, Yu Wan, Yubo Ma, Baosong Yang, Haoran Wei, Jialong Tang, Huan Lin, Ruize Gao, Tianhao Li, Qian Cao, Xuancheng Ren, Xiaodong Deng, An Yang, Fei Huang, Dayiheng Liu, Jingren Zhou · 2026
- $δ$-mem: Efficient Online Memory for Large Language Models
Jingdi Lei, Di Zhang, Junxian Li, Weida Wang, Kaixuan Fan, Xiang Liu, Qihan Liu, Xiaoteng Ma, Baian Chen, Soujanya Poria · 2026
- Classifier Context Rot: Monitor Performance Degrades with Context Length
Sam Martin, Fabien Roger · 2026
- Scalable Packed Layouts for Vector-Length-Agnostic ML Code Generation
Ege Beysel, Maximilian Bartel, Jan Moritz Joseph · 2026
- Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
Guinan Su, Yanwu Yang, Xueyan Li, Jonas Geiping · 2026
- Solve the Loop: Attractor Models for Language and Reasoning
Jacob Fein-Ashley, Paria Rashidinejad · 2026
- Learning, Fast and Slow: Towards LLMs That Adapt Continually
Rishabh Tiwari, Kusha Sareen, Lakshya A Agrawal, Joseph E. Gonzalez, Matei Zaharia, Kurt Keutzer, Inderjit S Dhillon, Rishabh Agarwal, Devvrit Khatri · 2026
- Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack
Hao Wang, Hanchen Li, Qiuyang Mang, Alvin Cheung, Koushik Sen, Dawn Song · 2026
- Predictive Coding Light+: learning to predict visual sequences with spike timing-dependent plasticity and synaptic delays
Antony W. N'dri, Thomas Barbier, Céline Teulière, Jochen Triesch · 2026
- Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
Chien Van Nguyen, Chaitra Hegde, Van Cuong Pham, Ryan A. Rossi, Franck Dernoncourt, Thien Huu Nguyen · 2026
- Language-Based Agent Control
Timothy Zhou, Loris D'Antoni, Nadia Polikarpova · 2026
- Asymmetric Flow Models
Hansheng Chen, Jan Ackermann, Minseo Kim, Gordon Wetzstein, Leonidas Guibas · 2026
- Insecure Despite Proven Updated: Extracting the Root VCEK Seed on EPYC Milan via a Software-Only Attack
Muyan Shen, Yu Qin · 2026
- Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code
Hengzhi Ye, Fengyuan Ran, Weiwei Xu, Minghui Zhou · 2026
- FPGA-Accelerated Lock Management and Transaction Processing: Architecture, Optimization, and Design Space Exploration
Shien Zhu, Gustavo Alonso · 2026