HackerPapers

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28734 retained paper pages. Page 236 of 288.

  1. BanglaByT5: Byte-Level Modelling for Bangla

    Pramit Bhattacharyya, Arnab Bhattacharya · 2025

  2. From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning

    Chen Shani, Liron Soffer, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv · 2025

  3. Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio

    Gertrude Hattoh, Jeremiah Ayensu, Nyarko Prince Ofori, Solomon Eshun, Darlington Akogo · 2025

  4. Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms

    Baran Hashemi, Kurt Pasque, Chris Teska, Ruriko Yoshida · 2025

  5. Effective Reinforcement Learning for Reasoning in Language Models

    Lianghuan Huang, Shuo Li, Sagnik Anupam, Insup Lee, Osbert Bastani · 2025

  6. Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models

    Doohyuk Jang, Yoonjeon Kim, Chanjae Park, Hyun Ryu, Eunho Yang · 2025

  7. Zebra-Llama: Towards Extremely Efficient Hybrid Models

    Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li, Vikram Appia, Emad Barsoum · 2025

  8. SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use

    Hitesh Laxmichand Patel, Amit Agarwal, Arion Das, Bhargava Kumar, Srikant Panda, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Dong-Kyu Chae · 2025

  9. H2:Towards Efficient Large-Scale LLM Training on Hyper-Heterogeneous Cluster over 1,000 Chips

    Ding Tang, Jiecheng Zhou, Jiakai Hu, Shengwei Li, Huihuang Zheng, Zhilin Pei, Hui Wang, Xingcheng Zhang · 2025

  10. Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces

    André Silva, Gustav Thorén, Martin Monperrus · 2025

  11. Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning

    Michael Hassid, Gabriel Synnaeve, Yossi Adi, Roy Schwartz · 2025

  12. Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization

    Francois Chaubard, Mykel Kochenderfer · 2025

  13. DataRater: Meta-Learned Dataset Curation

    Dan A. Calian, Gregory Farquhar, Iurii Kemaev, Luisa M. Zintgraf, Matteo Hessel, Jeremy Shar, Junhyuk Oh, András György, Tom Schaul, Jeffrey Dean, Hado van Hasselt, David Silver · 2025

  14. Outcome-based Reinforcement Learning to Predict the Future

    Benjamin Turtel, Danny Franklin, Kris Skotheim, Luke Hewitt, Philipp Schoenegger · 2025

  15. VideoGameBench: Can Vision-Language Models complete popular video games?

    Alex L. Zhang, Thomas L. Griffiths, Karthik R. Narasimhan, Ofir Press · 2025

  16. Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models

    Louis Béthune, David Vigouroux, Yilun Du, Rufin VanRullen, Thomas Serre, Victor Boutin · 2025

  17. The end of radical concept nativism

    Joshua S. Rule, Steven T. Piantadosi · 2025

  18. Single-agent or Multi-agent Systems? Why Not Both?

    Mingyan Gao, Yanzi Li, Banruo Liu, Yifan Yu, Phillip Wang, Ching-Yu Lin, Fan Lai · 2025

  19. An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs

    Rahul Thomas, Louai Zahran, Erica Choi, Akilesh Potti, Micah Goldblum, Arka Pal · 2025

  20. ALLSTaR: Automated LLM-Driven Scheduler Generation and Testing for Intent-Based RAN

    Maxime Elkael, Michele Polese, Reshma Prasad, Stefano Maxenti, Tommaso Melodia · 2025

  21. Autocomp: A Powerful and Portable Code Optimizer for Tensor Accelerators

    Charles Hong, Sahil Bhatia, Alvin Cheung, Yakun Sophia Shao · 2025

  22. Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment

    Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye · 2025

  23. Mind The Gap: Quantifying Mechanistic Gaps in Algorithmic Reasoning via Neural Compilation

    Lucas Saldyt, Subbarao Kambhampati · 2025

  24. Disentangling Knowledge Representations for Large Language Model Editing

    Mengqi Zhang, Zisheng Zhou, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren · 2025

  25. Automated Verification of Monotonic Data Structure Traversals in C

    Matthew Sotoudeh · 2025

  26. Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework

    William Han, Chaojing Duan, Zhepeng Cen, Yihang Yao, Xiaoyu Song, Atharva Mhaskar, Dylan Leong, Michael A. Rosenberg, Emerson Liu, Ding Zhao · 2025

  27. Securing Credit Inquiries: The Role of Real-Time User Approval in Preventing SSN Identity Theft

    Gogulakrishnan Thiyagarajan, Vinay Bist, Prabhudarshi Nayak · 2025

  28. Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

    Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica · 2025

  29. CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions

    Kung-Hsiang Huang, Akshara Prabhakar, Onkar Thorat, Divyansh Agarwal, Prafulla Kumar Choubey, Yixin Mao, Silvio Savarese, Caiming Xiong, Chien-Sheng Wu · 2025

  30. When Models Don't Collapse: On the Consistency of Iterative MLE

    Daniel Barzilai, Ohad Shamir · 2025

  31. An Embarrassingly Simple Defense Against LLM Abliteration Attacks

    Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, Bernard Ghanem, George Turkiyyah · 2025

  32. Do Large Language Models (Really) Need Statistical Foundations?

    Weijie Su · 2025

  33. Triangle Splatting for Real-Time Radiance Field Rendering

    Jan Held, Renaud Vandeghen, Adrien Deliege, Abdullah Hamdi, Silvio Giancola, Anthony Cioppa, Andrea Vedaldi, Bernard Ghanem, Andrea Tagliasacchi, Marc Van Droogenbroeck · 2025

  34. Constitutional Consensus for Democratic Governance

    Idit Keidar, Andrew Lewis-Pye, Ehud Shapiro, Nimrod Talmon · 2025

  35. SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline

    Helin Wang, Jiarui Hai, Dongchao Yang, Chen Chen, Kai Li, Junyi Peng, Thomas Thebaud, Laureano Moro Velazquez, Jesus Villalba, Najim Dehak · 2025

  36. WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference

    Sihan Chen, Dan Zhao, Jongwoo Ko, Colby Banbury, Huiping Zhuang, Luming Liang, Pashmina Cameron, Tianyi Chen · 2025

  37. Learning to Reason without External Rewards

    Xuandong Zhao, Zhewei Kang, Aosong Feng, Sergey Levine, Dawn Song · 2025

  38. Transforming jet flavour tagging at ATLAS

    ATLAS Collaboration · 2025

  39. The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants

    Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Daling Wang, Zhen Wang, Xinrun Wang, Jia Xu, Lei Bai, Wanli Ouyang, Shuyue Hu · 2025

  40. Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks

    Sirui Chen, Shuqin Ma, Shu Yu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu · 2025

  41. Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program

    Alejandro Carrasco, Victor Rodriguez-Fernandez, Richard Linares · 2025

  42. ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows

    Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu · 2025

  43. Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

    Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Qiying Yu, Xuefeng Li, Jiaze Chen, Hao Zhou, Mingxuan Wang · 2025

  44. Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks

    Debargha Ganguly, Vikash Singh, Sreehari Sankar, Biyao Zhang, Xuecen Zhang, Srinivasan Iyengar, Xiaotian Han, Amit Sharma, Shivkumar Kalyanaraman, Vipin Chaudhary · 2025

  45. TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent

    Dominik Meier, Jan Philip Wahle, Paul Röttger, Terry Ruas, Bela Gipp · 2025

  46. Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub

    Jafar Akhoundali, Hamidreza Hamidi, Kristian Rietveld, Olga Gadyatskaya · 2025

  47. PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection

    Junseo Hwang, Wonguk Cho, Taesup Kim · 2025

  48. syftr: Pareto-Optimal Generative AI

    Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Schmidt, Mark Steadman, Nick Volynets · 2025

  49. Ten Principles of AI Agent Economics

    Ke Yang, ChengXiang Zhai · 2025

  50. Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

    Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, Mengdi Wang · 2025

  51. SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?

    Michael Kirchhof, Luca Füger, Adam Goliński, Eeshan Gunesh Dhekane, Arno Blaas, Seong Joon Oh, Sinead Williamson · 2025

  52. Reasoning LLMs are Wandering Solution Explorers

    Jiahao Lu, Ziwei Xu, Mohan Kankanhalli · 2025

  53. $Δ$-Nets: Interaction-Based System for Optimal Parallel $λ$-Reduction

    Daniel Augusto Rizzi Salvadori · 2025

  54. Rethinking Text-based Protein Understanding: Retrieval or LLM?

    Juntong Wu, Zijing Liu, He Cao, Hao Li, Bin Feng, Zishan Shu, Ke Yu, Li Yuan, Yu Li · 2025

  55. SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents

    Ibragim Badertdinov, Alexander Golubev, Maksim Nekrashevich, Anton Shevtsov, Simon Karasik, Andrei Andriushchenko, Maria Trofimova, Daria Litvintseva, Boris Yangel · 2025

  56. Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models

    Peter Robicheaux, Matvei Popov, Anish Madan, Isaac Robinson, Joseph Nelson, Deva Ramanan, Neehar Peri · 2025

  57. Rendering-Aware Reinforcement Learning for Vector Graphics Generation

    Juan A. Rodriguez, Haotian Zhang, Abhay Puri, Aarash Feizi, Rishav Pramanik, Pascal Wichmann, Arnab Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vazquez, Christopher Pal, Marco Pedersoli · 2025

  58. Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts

    Yue Zhang, Yingzhao Jian, Hehe Fan, Yi Yang, Roger Zimmermann · 2025

  59. efunc: An Efficient Function Representation without Neural Networks

    Biao Zhang, Peter Wonka · 2025

  60. RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models

    Dario Satriani, Enzo Veltri, Donatello Santoro, Paolo Papotti · 2025

  61. Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity

    Yehui Tang, Xiaosong Li, Fangcheng Liu, Wei Guo, Hang Zhou, Yaoyuan Wang, Kai Han, Xianzhi Yu, Jinpeng Li, Hui Zang, Fei Mi, Xiaojun Meng, Zhicheng Liu, Hanting Chen, Binfan Zheng, Can Chen, Youliang Yan, Ruiming Tang, Peifeng Qin, Xinghao Chen, Dacheng Tao, Yunhe Wang · 2025

  62. Can Large Reasoning Models Self-Train?

    Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, Jeff Schneider, Andrea Zanette · 2025

  63. The anomalous magnetic moment of the muon in the Standard Model: an update

    R. Aliberti, T. Aoyama, E. Balzani, A. Bashir, G. Benton, J. Bijnens, V. Biloshytskyi, T. Blum, D. Boito, M. Bruno, E. Budassi, S. Burri, L. Cappiello, C. M. Carloni Calame, M. Cè, V. Cirigliano, D. A. Clarke, G. Colangelo, L. Cotrozzi, M. Cottini, I. Danilkin, M. Davier, M. Della Morte, A. Denig, C. DeTar, V. Druzhinin, G. Eichmann, A. X. El-Khadra, E. Estrada, X. Feng, C. S. Fischer, R. Frezzotti, G. Gagliardi, A. Gérardin, M. Ghilardi, D. Giusti, M. Golterman, S. Gonzàlez-Solís, S. Gottlieb, R. Gruber, A. Guevara, V. Gülpers, A. Gurgone, F. Hagelstein, M. Hayakawa, N. Hermansson-Truedsson, A. Hoecker, M. Hoferichter, B. -L. Hoid, S. Holz, R. J. Hudspith, F. Ignatov, L. Jin, N. Kalntis, G. Kanwar, A. Keshavarzi, J. Komijani, J. Koponen, S. Kuberski, B. Kubis, A. Kupich, A. Kupść, S. Lahert, S. Laporta, C. Lehner, M. Lellmann, L. Lellouch, T. Leplumey, J. Leutgeb, T. Lin, Q. Liu, I. Logashenko, C. Y. London, G. López Castro, J. Lüdtke, A. Lusiani, A. Lutz, J. Mager, B. Malaescu, K. Maltman, M. K. Marinković, J. Márquez, P. Masjuan, H. B. Meyer, T. Mibe, N. Miller, A. Miramontes, A. Miranda, G. Montagna, S. E. Müller, E. T. Neil, A. V. Nesterenko, O. Nicrosini, M. Nio, D. Nomura, J. Paltrinieri, L. Parato, J. Parrino, V. Pascalutsa, M. Passera, S. Peris, P. Petit Rosàs, F. Piccinini, R. N. Pilato, L. Polat, A. Portelli, D. Portillo-Sánchez, M. Procura, L. Punzi, K. Raya, A. Rebhan, C. F. Redmer, B. L. Roberts, A. Rodríguez-Sánchez, P. Roig, J. Ruiz de Elvira, P. Sánchez-Puertas, A. Signer, J. W. Sitison, D. Stamen, D. Stöckinger, H. Stöckinger-Kim, P. Stoffer, Y. Sue, P. Tavella, T. Teubner, J. -N. Toelstede, G. Toledo, W. J. Torres Bobadilla, J. T. Tsang, F. P. Ucci, Y. Ulrich, R. S. Van de Water, G. Venanzoni, S. Volkov, G. von Hippel, G. Wang, U. Wenger, H. Wittig, A. Wright, E. Zaid, M. Zanke, Z. Zhang, M. Zillinger, C. Alexandrou, A. Altherr, M. Anderson, C. Aubin, S. Bacchio, P. Beltrame, A. Beltran, P. Boyle, I. Campos Plasencia, I. Caprini, B. Chakraborty, G. Chanturia, A. Crivellin, A. Czarnecki, L. -Y. Dai, T. Dave, L. Del Debbio, K. Demory, D. Djukanovic, T. Draper, A. Driutti, M. Endo, F. Erben, K. Ferraby, J. Finkenrath, L. Flower, A. Francis, E. Gámiz, J. Gogniat, A. V. Grebe, S. Gündogdu, M. T. Hansen, S. Hashimoto, H. Hayashii, D. W. Hertzog, L. A. Heuser, L. Hostetler, X. T. Hou, G. S. Huang, T. Iijima, K. Inami, A. Jüttner, R. Kitano, M. Knecht, S. Kollatzsch, A. S. Kronfeld, T. Lenz, G. Levati, Q. M. Li, Y. P. Liao, J. Libby, K. F. Liu, V. Lubicz, M. T. Lynch, A. T. Lytle, J. L. Ma, K. Miura, K. Möhling, J. Muskalla, F. Noël, K. Ottnad, P. Paradisi, C. T. Peterson, A. Pich, S. Pitelis, S. Plura, A. Price, D. Radic, A. Radzhabov, A. Risch, S. Romiti, S. Sahoo, F. Sannino, H. Schäfer, Y. Schelhaas, S. I. Serednyakov, O. Shekhovtsova, J. N. Simone, S. Simula, E. P. Solodov, F. M. Stokes, M. Vanderhaeghen, A. Vaquero, N. Vestergaard, W. P. Wang, Z. Wąs, K. Yamashita, Y. B. Yang, T. Yoshioka, C. Z. Yuan, A. S. Zhevlakov · 2025

  64. Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems

    Rishi Sharma, Martijn de Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec · 2025

  65. R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

    Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang · 2025

  66. Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives

    Ander Artola Velasco, Stratis Tsirtsis, Nastaran Okati, Manuel Gomez-Rodriguez · 2025

  67. Calibrating LLM Confidence by Probing Perturbed Representation Stability

    Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi · 2025

  68. Memorization to Generalization: Emergence of Diffusion Models from Associative Memory

    Bao Pham, Gabriel Raya, Matteo Negri, Mohammed J. Zaki, Luca Ambrogioni, Dmitry Krotov · 2025

  69. RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments

    Zeyi Liao, Jaylen Jones, Linxi Jiang, Yuting Ning, Eric Fosler-Lussier, Yu Su, Zhiqiang Lin, Huan Sun · 2025

  70. Improving Continual Pre-training Through Seamless Data Packing

    Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang · 2025

  71. Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging

    Runze Xia, Shuo Feng, Renzhi Wang, Congchi Yin, Xuyun Wen, Piji Li · 2025

  72. Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval

    A. Ploshkin, V. Tytskiy, A. Pismenny, V. Baikalov, E. Taychinov, A. Permiakov, D. Burlakov, E. Krofto, N. Savushkin · 2025

  73. TPDE: A Fast Adaptable Compiler Back-End Framework

    Tobias Schwarz, Tobias Kamm, Alexis Engelke · 2025

  74. Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

    Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie · 2025

  75. Pre-training for Recommendation Unlearning

    Guoxuan Chen, Lianghao Xia, Chao Huang · 2025

  76. Navigating the Latent Space Dynamics of Neural Models

    Marco Fumero, Luca Moschella, Emanuele Rodolà, Francesco Locatello · 2025

  77. A unified quaternion-complex framework for Navier-Stokes equations: new insights and implications

    Farrukh A. Chishtie · 2025

  78. HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding

    Emmanuel Anaya González, Raven Rothkopf, Sorin Lerner, Nadia Polikarpova · 2025

  79. cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning

    Maksim Kolodiazhnyi, Denis Tarasov, Dmitrii Zhemchuzhnikov, Alexander Nikulin, Ilya Zisman, Anna Vorontsova, Anton Konushin, Vladislav Kurenkov, Danila Rukhovich · 2025

  80. Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

    Jenny Zhang, Shengran Hu, Cong Lu, Robert Lange, Jeff Clune · 2025

  81. Seeing the Politics of Decentralized Social Media Protocols

    Tolulope Oshinowo, Sohyeon Hwang, Amy X. Zhang, Andrés Monroy-Hernández · 2025

  82. Pose-free 3D Gaussian splatting via shape-ray estimation

    Youngju Na, Taeyeon Kim, Jumin Lee, Kyu Beom Han, Woo Jae Kim, Sung-eui Yoon · 2025

  83. Model-Preserving Adaptive Rounding

    Albert Tseng, Zhaofeng Sun, Christopher De Sa · 2025

  84. LLM Agents for Bargaining with Utility-based Feedback

    Jihwan Oh · 2025

  85. Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors

    Harish Tayyar Madabushi, Melissa Torgbi, Claire Bonial · 2025

  86. Nosey: Open-source hardware for acoustic nasalance

    Maya Dewhurst, Jack Collins, Justin J. H. Lo, Roy Alderton, Sam Kirkham · 2025

  87. A view of the CIZA J2242.8+5301 galaxy cluster at very low radio frequencies

    G. Lusetti, M. Brüggen, H. W. Edler, F. de Gasperin, M. Hoeft, G. Di Gennaro, D. Hoang, T. Pasini, R. van Weeren, V. Cuciti, H. Rottgering, G. Brunetti · 2025

  88. Colloquium: The Cosmic Dipole Anomaly

    Nathan Secrest, Sebastian von Hausegger, Mohamed Rameez, Roya Mohayaee, Subir Sarkar · 2025

  89. BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model

    Adibvafa Fallahpour, Andrew Magnuson, Purav Gupta, Shihao Ma, Jack Naimer, Arnav Shah, Haonan Duan, Omar Ibrahim, Hani Goodarzi, Chris J. Maddison, Bo Wang · 2025

  90. Securing AI Agents with Information-Flow Control

    Manuel Costa, Boris Köpf, Aashish Kolluri, Andrew Paverd, Mark Russinovich, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin · 2025

  91. Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

    Danny Driess, Jost Tobias Springenberg, Brian Ichter, Lili Yu, Adrian Li-Bell, Karl Pertsch, Allen Z. Ren, Homer Walke, Quan Vuong, Lucy Xiaoyang Shi, Sergey Levine · 2025

  92. TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

    Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, Sepp Hochreiter · 2025

  93. MuLoCo: Muon is a practical inner optimizer for DiLoCo

    Benjamin Thérien, Xiaolong Huang, Aaron Defazio, Irina Rish, Eugene Belilovsky · 2025

  94. ATLAS: Learning to Optimally Memorize the Context at Test Time

    Ali Behrouz, Zeman Li, Praneeth Kacham, Majid Daliri, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni · 2025

  95. LayerPeeler: Autoregressive Peeling for Layer-wise Image Vectorization

    Ronghuan Wu, Wanchao Su, Jing Liao · 2025

  96. DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP

    Amber Yijia Zheng, Yu Zhang, Jun Hu, Raymond A. Yeh, Chen Chen · 2025

  97. MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

    Sihan Yang, Runsen Xu, Yiman Xie, Sizhe Yang, Mo Li, Jingli Lin, Chenming Zhu, Xiaochen Chen, Haodong Duan, Xiangyu Yue, Dahua Lin, Tai Wang, Jiangmiao Pang · 2025

  98. ADA: Automated Moving Target Defense for AI Workloads via Ephemeral Infrastructure-Native Rotation in Kubernetes

    Akram Sheriff, Ken Huang, Zsolt Nemeth, Madjid Nakhjiri · 2025

  99. Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using $\mathbb{F}_2$

    Keren Zhou, Mario Lezcano, Adam Goucher, Akhmed Rakhmati, Jeff Niu, Justin Lebar, Pawel Szczerbuk, Peter Bell, Phil Tillet, Thomas Raoux, Zahi Moudallal · 2025

  100. Large Language Models Often Know When They Are Being Evaluated

    Joe Needham, Giles Edkins, Govind Pimpale, Henning Bartsch, Marius Hobbhahn · 2025