All paper pages
28734 retained paper pages. Page 236 of 288.
- BanglaByT5: Byte-Level Modelling for Bangla
Pramit Bhattacharyya, Arnab Bhattacharya · 2025
- From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
Chen Shani, Liron Soffer, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv · 2025
- Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio
Gertrude Hattoh, Jeremiah Ayensu, Nyarko Prince Ofori, Solomon Eshun, Darlington Akogo · 2025
- Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
Baran Hashemi, Kurt Pasque, Chris Teska, Ruriko Yoshida · 2025
- Effective Reinforcement Learning for Reasoning in Language Models
Lianghuan Huang, Shuo Li, Sagnik Anupam, Insup Lee, Osbert Bastani · 2025
- Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models
Doohyuk Jang, Yoonjeon Kim, Chanjae Park, Hyun Ryu, Eunho Yang · 2025
- Zebra-Llama: Towards Extremely Efficient Hybrid Models
Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li, Vikram Appia, Emad Barsoum · 2025
- 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
- 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
- Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
André Silva, Gustav Thorén, Martin Monperrus · 2025
- Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
Michael Hassid, Gabriel Synnaeve, Yossi Adi, Roy Schwartz · 2025
- Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization
Francois Chaubard, Mykel Kochenderfer · 2025
- 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
- Outcome-based Reinforcement Learning to Predict the Future
Benjamin Turtel, Danny Franklin, Kris Skotheim, Luke Hewitt, Philipp Schoenegger · 2025
- VideoGameBench: Can Vision-Language Models complete popular video games?
Alex L. Zhang, Thomas L. Griffiths, Karthik R. Narasimhan, Ofir Press · 2025
- 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
- The end of radical concept nativism
Joshua S. Rule, Steven T. Piantadosi · 2025
- 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
- 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
- ALLSTaR: Automated LLM-Driven Scheduler Generation and Testing for Intent-Based RAN
Maxime Elkael, Michele Polese, Reshma Prasad, Stefano Maxenti, Tommaso Melodia · 2025
- Autocomp: A Powerful and Portable Code Optimizer for Tensor Accelerators
Charles Hong, Sahil Bhatia, Alvin Cheung, Yakun Sophia Shao · 2025
- Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye · 2025
- Mind The Gap: Quantifying Mechanistic Gaps in Algorithmic Reasoning via Neural Compilation
Lucas Saldyt, Subbarao Kambhampati · 2025
- Disentangling Knowledge Representations for Large Language Model Editing
Mengqi Zhang, Zisheng Zhou, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren · 2025
- Automated Verification of Monotonic Data Structure Traversals in C
Matthew Sotoudeh · 2025
- 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
- Securing Credit Inquiries: The Role of Real-Time User Approval in Preventing SSN Identity Theft
Gogulakrishnan Thiyagarajan, Vinay Bist, Prabhudarshi Nayak · 2025
- 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
- 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
- When Models Don't Collapse: On the Consistency of Iterative MLE
Daniel Barzilai, Ohad Shamir · 2025
- An Embarrassingly Simple Defense Against LLM Abliteration Attacks
Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, Bernard Ghanem, George Turkiyyah · 2025
- Do Large Language Models (Really) Need Statistical Foundations?
Weijie Su · 2025
- 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
- Constitutional Consensus for Democratic Governance
Idit Keidar, Andrew Lewis-Pye, Ehud Shapiro, Nimrod Talmon · 2025
- 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
- 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
- Learning to Reason without External Rewards
Xuandong Zhao, Zhewei Kang, Aosong Feng, Sergey Levine, Dawn Song · 2025
- Transforming jet flavour tagging at ATLAS
ATLAS Collaboration · 2025
- 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
- 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
- Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program
Alejandro Carrasco, Victor Rodriguez-Fernandez, Richard Linares · 2025
- 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
- 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
- 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
- TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
Dominik Meier, Jan Philip Wahle, Paul Röttger, Terry Ruas, Bela Gipp · 2025
- Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub
Jafar Akhoundali, Hamidreza Hamidi, Kristian Rietveld, Olga Gadyatskaya · 2025
- PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
Junseo Hwang, Wonguk Cho, Taesup Kim · 2025
- syftr: Pareto-Optimal Generative AI
Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Schmidt, Mark Steadman, Nick Volynets · 2025
- Ten Principles of AI Agent Economics
Ke Yang, ChengXiang Zhai · 2025
- 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
- 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
- Reasoning LLMs are Wandering Solution Explorers
Jiahao Lu, Ziwei Xu, Mohan Kankanhalli · 2025
- $Δ$-Nets: Interaction-Based System for Optimal Parallel $λ$-Reduction
Daniel Augusto Rizzi Salvadori · 2025
- 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
- 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
- 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
- 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
- Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts
Yue Zhang, Yingzhao Jian, Hehe Fan, Yi Yang, Roger Zimmermann · 2025
- efunc: An Efficient Function Representation without Neural Networks
Biao Zhang, Peter Wonka · 2025
- RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models
Dario Satriani, Enzo Veltri, Donatello Santoro, Paolo Papotti · 2025
- 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
- Can Large Reasoning Models Self-Train?
Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, Jeff Schneider, Andrea Zanette · 2025
- 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
- Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems
Rishi Sharma, Martijn de Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec · 2025
- 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
- Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
Ander Artola Velasco, Stratis Tsirtsis, Nastaran Okati, Manuel Gomez-Rodriguez · 2025
- 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
- Memorization to Generalization: Emergence of Diffusion Models from Associative Memory
Bao Pham, Gabriel Raya, Matteo Negri, Mohammed J. Zaki, Luca Ambrogioni, Dmitry Krotov · 2025
- 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
- Improving Continual Pre-training Through Seamless Data Packing
Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang · 2025
- Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging
Runze Xia, Shuo Feng, Renzhi Wang, Congchi Yin, Xuyun Wen, Piji Li · 2025
- 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
- TPDE: A Fast Adaptable Compiler Back-End Framework
Tobias Schwarz, Tobias Kamm, Alexis Engelke · 2025
- 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
- Pre-training for Recommendation Unlearning
Guoxuan Chen, Lianghao Xia, Chao Huang · 2025
- Navigating the Latent Space Dynamics of Neural Models
Marco Fumero, Luca Moschella, Emanuele Rodolà, Francesco Locatello · 2025
- A unified quaternion-complex framework for Navier-Stokes equations: new insights and implications
Farrukh A. Chishtie · 2025
- HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding
Emmanuel Anaya González, Raven Rothkopf, Sorin Lerner, Nadia Polikarpova · 2025
- 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
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
Jenny Zhang, Shengran Hu, Cong Lu, Robert Lange, Jeff Clune · 2025
- Seeing the Politics of Decentralized Social Media Protocols
Tolulope Oshinowo, Sohyeon Hwang, Amy X. Zhang, Andrés Monroy-Hernández · 2025
- 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
- Model-Preserving Adaptive Rounding
Albert Tseng, Zhaofeng Sun, Christopher De Sa · 2025
- LLM Agents for Bargaining with Utility-based Feedback
Jihwan Oh · 2025
- Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors
Harish Tayyar Madabushi, Melissa Torgbi, Claire Bonial · 2025
- Nosey: Open-source hardware for acoustic nasalance
Maya Dewhurst, Jack Collins, Justin J. H. Lo, Roy Alderton, Sam Kirkham · 2025
- 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
- Colloquium: The Cosmic Dipole Anomaly
Nathan Secrest, Sebastian von Hausegger, Mohamed Rameez, Roya Mohayaee, Subir Sarkar · 2025
- 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
- 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
- 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
- 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
- MuLoCo: Muon is a practical inner optimizer for DiLoCo
Benjamin Thérien, Xiaolong Huang, Aaron Defazio, Irina Rish, Eugene Belilovsky · 2025
- 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
- LayerPeeler: Autoregressive Peeling for Layer-wise Image Vectorization
Ronghuan Wu, Wanchao Su, Jing Liao · 2025
- 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
- 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
- ADA: Automated Moving Target Defense for AI Workloads via Ephemeral Infrastructure-Native Rotation in Kubernetes
Akram Sheriff, Ken Huang, Zsolt Nemeth, Madjid Nakhjiri · 2025
- 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
- Large Language Models Often Know When They Are Being Evaluated
Joe Needham, Giles Edkins, Govind Pimpale, Henning Bartsch, Marius Hobbhahn · 2025