All paper pages
28734 retained paper pages. Page 247 of 288.
- Evaluating LLM Generated Detection Rules in Cybersecurity
Anna Bertiger, Bobby Filar, Aryan Luthra, Stefano Meschiari, Aiden Mitchell, Sam Scholten, Vivek Sharath · 2025
- SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Nitin Pasari, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa Kundurthy, Sean Hendryx, Zifan Wang, Vijay Bharadwaj, Jeff Holm, Raja Aluri, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler · 2025
- Shall We Play a Game? Language Models for Open-ended Wargames
Glenn Matlin, Isaac Song, Yixiong Hao, Parv Mahajan, Evan Montoya, Ryan Bard, Stuart R. Topp, Anthony Wen-Ming Zang, Mohammed Rehan Parwani, Soham Shetty, Mark Riedl · 2025
- Seeing is Deceiving: Mirror-Based LiDAR Spoofing for Autonomous Vehicle Deception
Selma Yahia, Ildi Alla, Girija Bangalore Mohan, Daniel Rau, Mridula Singh, Valeria Loscri · 2025
- Mano Technical Report
Tianyu Fu, Anyang Su, Chenxu Zhao, Hanning Wang, Minghui Wu, Zhe Yu, Fei Hu, Mingjia Shi, Wei Dong, Jiayao Wang, Yuyang Chen, Ruiyang Yu, Siran Peng, Menglin Li, Nan Huang, Haitian Wei, Jiawei Yu, Yi Xin, Xilin Zhao, Kai Gu, Ping Jiang, Sifan Zhou, Shuo Wang · 2025
- LIMI: Less is More for Agency
Yang Xiao, Mohan Jiang, Jie Sun, Keyu Li, Jifan Lin, Yumin Zhuang, Ji Zeng, Shijie Xia, Qishuo Hua, Xuefeng Li, Xiaojie Cai, Tongyu Wang, Yue Zhang, Liming Liu, Xia Wu, Jinlong Hou, Yuan Cheng, Wenjie Li, Xiang Wang, Dequan Wang, Pengfei Liu · 2025
- Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers
Axel Ciceri, Austin Cottrell, Joshua Freeland, Daniel Fry, Hirotoshi Hirai, Philip Intallura, Hwajung Kang, Chee-Kong Lee, Abhijit Mitra, Kentaro Ohno, Das Pemmaraju, Manuel Proissl, Brian Quanz, Del Rajan, Noriaki Shimada, Kavitha Yograj · 2025
- Qwen3-Omni Technical Report
Jin Xu, Zhifang Guo, Hangrui Hu, Yunfei Chu, Xiong Wang, Jinzheng He, Yuxuan Wang, Xian Shi, Ting He, Xinfa Zhu, Yuanjun Lv, Yongqi Wang, Dake Guo, He Wang, Linhan Ma, Pei Zhang, Xinyu Zhang, Hongkun Hao, Zishan Guo, Baosong Yang, Bin Zhang, Ziyang Ma, Xipin Wei, Shuai Bai, Keqin Chen, Xuejing Liu, Peng Wang, Mingkun Yang, Dayiheng Liu, Xingzhang Ren, Bo Zheng, Rui Men, Fan Zhou, Bowen Yu, Jianxin Yang, Le Yu, Jingren Zhou, Junyang Lin · 2025
- The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies
Jiaxu Zhou, Jen-tse Huang, Xuhui Zhou, Man Ho Lam, Xintao Wang, Hao Zhu, Wenxuan Wang, Maarten Sap · 2025
- Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
Alexander Panfilov, Evgenii Kortukov, Kristina Nikolić, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping · 2025
- Machine Learnability as a Measure of Order in Aperiodic Sequences
Jennifer Dodgson, Michael Joedhitya, Adith Ramdas, Surender Suresh Kumar, Adarsh Singh Chauhan, Akira Rafhael, Wang Mingshu, Nordine Lotfi · 2025
- HSGM: Hierarchical Segment-Graph Memory for Scalable Long-Text Semantics
Dong Liu, Yanxuan Yu · 2025
- Personalised Pricing: The Demise of the Fixed Price?
Joost Poort, Frederik Zuiderveen Borgesius · 2025
- The Illusion of Readiness in Health AI
Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel CF Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, HoHin Lee, Praneeth Sanapathi, Sarah Hilado, Tristan Naumann, Javier Alvarez-Valle, Jiang Bian, Mu Wei, Khalil Malik, Lidong Zhou, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Doug Burger, Eric Topol, Hoifung Poon, Paul Vozila · 2025
- MolPILE -- large-scale, diverse dataset for molecular representation learning
Jakub Adamczyk, Jakub Poziemski, Franciszek Job, Mateusz Król, Maciej Makowski · 2025
- A Fast, Strong, Topologically Meaningful and Fun Knot Invariant
Dror Bar-Natan, Roland van der Veen · 2025
- CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
Daniel Kaiser, Arnoldo Frigessi, Ali Ramezani-Kebrya, Benjamin Ricaud · 2025
- Individualized non-uniform quantization for vector search
Mariano Tepper, Ted Willke · 2025
- SimpleFold: Folding Proteins is Simpler than You Think
Yuyang Wang, Jiarui Lu, Navdeep Jaitly, Josh Susskind, Miguel Angel Bautista · 2025
- 1-bit RIS-aided Index Modulation with Quantum Annealing
Ioannis Krikidis, Constantinos Psomas, Gan Zheng · 2025
- Are most sentences unique? An empirical examination of Chomskyan claims
Hiram Ring · 2025
- PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation
Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau · 2025
- Video Killed the Energy Budget: Characterizing the Latency and Power Regimes of Open Text-to-Video Models
Julien Delavande, Regis Pierrard, Sasha Luccioni · 2025
- Reinforcement Learning on Pre-Training Data
Siheng Li, Kejiao Li, Zenan Xu, Guanhua Huang, Evander Yang, Kun Li, Haoyuan Wu, Jiajia Wu, Zihao Zheng, Chenchen Zhang, Kun Shi, Kyrierl Deng, Qi Yi, Ruibin Xiong, Tingqiang Xu, Yuhao Jiang, Jianfeng Yan, Yuyuan Zeng, Guanghui Xu, Jinbao Xue, Zhijiang Xu, Zheng Fang, Shuai Li, Qibin Liu, Xiaoxue Li, Zhuoyu Li, Yangyu Tao, Fei Gao, Cheng Jiang, Bo Chao Wang, Kai Liu, Jianchen Zhu, Wai Lam, Wayyt Wang, Bo Zhou, Di Wang · 2025
- Report on the 63rd Annual International Mathematical Olympiad
Béla Bajnok · 2025
- How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng · 2025
- Vacuum birefringence and the polarized X-ray emission from a radio magnetar
Rachael E. Stewart, Hoa Dinh Thi, George Younes, Marcus E. Lower, Matthew G. Baring, Michela Negro, Fernando Camilo, Joel B. Coley, Teruaki Enoto, Alice K. Harding, Wynn C. G. Ho, Chin-Ping Hu, Philip Kaaret, Paul Scholz, Alex Van Kooten, Zorawar Wadiasingh · 2025
- Crater Observing Bio-inspired Rolling Articulator (COBRA)
Adarsh Salagame, Henry Noyes, Alireza Ramezani, Eric Sihite, Arash Kalantari · 2025
- SMILES-Inspired Transfer Learning for Quantum Operators in Generative Quantum Eigensolver
Zhi Yin, Xiaoran Li, Shengyu Zhang, Xin Li, Xiaojin Zhang · 2025
- Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
Lorenzo Giusti, Ole Anton Werner, Riccardo Taiello, Matilde Carvalho Costa, Emre Tosun, Andrea Protani, Marc Molina, Rodrigo Lopes de Almeida, Paolo Cacace, Diogo Reis Santos, Luigi Serio · 2025
- Video models are zero-shot learners and reasoners
Thaddäus Wiedemer, Yuxuan Li, Paul Vicol, Shixiang Shane Gu, Nick Matarese, Kevin Swersky, Been Kim, Priyank Jaini, Robert Geirhos · 2025
- FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems
Shaoyuan Xie, Mohamad Habib Fakih, Junchi Lu, Fayzah Alshammari, Ningfei Wang, Takami Sato, Halima Bouzidi, Mohammad Abdullah Al Faruque, Qi Alfred Chen · 2025
- Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
Simon Baeuerle, Pratik Khanna, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Damir Shakirov, Andreas Steimer, Ralf Mikut · 2025
- MELEGROS: Monolithic Elephant-inspired Gripper with Optical Sensors
Petr Trunin, Diana Cafiso, Anderson Brazil Nardin, Trevor Exley, Lucia Beccai · 2025
- FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
Amin Karimi Monsefi, Nikhil Bhendawade, Manuel Rafael Ciosici, Dominic Culver, Yizhe Zhang, Irina Belousova · 2025
- Real-Time Object Detection Meets DINOv3
Shihua Huang, Yongjie Hou, Longfei Liu, Xuanlong Yu, Xi Shen · 2025
- Universal Complexity Bounds for Universal Gradient Methods in Nonlinear Optimization
Yurii Nesterov · 2025
- RL Grokking Recipe: How Does RL Unlock and Transfer New Algorithms in LLMs?
Yiyou Sun, Yuhan Cao, Pohao Huang, Haoyue Bai, Hannaneh Hajishirzi, Nouha Dziri, Dawn Song · 2025
- Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
William F. Godoy, Tatiana Melnichenko, Pedro Valero-Lara, Wael Elwasif, Philip Fackler, Rafael Ferreira Da Silva, Keita Teranishi, Jeffrey S. Vetter · 2025
- Measuring Combinatorial Creativity in Large Language Models and Humans
Samuel Schapiro, Akshay K. Jagadish, Alexi Gladstone, Qiawen Ella Liu, Sumuk Shashidhar, Jonah Black, Royce Moon, Dilek Hakkani-Tur, Heng Ji, Claire E. Stevenson, Lav R. Varshney, Roger E. Beaty, Thomas L. Griffiths, James A. Evans · 2025
- Physics of Learning: A Lagrangian perspective to different learning paradigms
Siyuan Guo, Bernhard Schölkopf · 2025
- A Riemannian Variational and Spectral Framework for High-Dimensional Sphere Packing: Barrier-Dynamics Reconciliation, Periodic Rigidity, and Discrete-Time Guarantees
Faruk Alpay, Hamdi Alakkad · 2025
- Best-of-$\infty$ -- Asymptotic Performance of Test-Time LLM Ensembling
Junpei Komiyama, Daisuke Oba, Masafumi Oyamada · 2025
- No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
Yehonatan Refael, Guy Smorodinsky, Ofir Lindenbaum, Itay Safran · 2025
- Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs
Norman Paulsen · 2025
- On functional freedom and Penrose's critiques of string theory
Matěj Krátký, James Read · 2025
- Provable Scaling Laws of Feature Emergence from Learning Dynamics of Grokking
Yuandong Tian · 2025
- A nearly pristine star from the Large Magellanic Cloud
Alexander P. Ji, Vedant Chandra, Selenna Mejias-Torres, Zhongyuan Zhang, Philipp Eitner, Kevin C. Schlaufman, Hillary Diane Andales, Ha Do, Natalie M. Orrantia, Rithika Tudmilla, Pierre N. Thibodeaux, Keivan G. Stassun, Madeline Howell, Jamie Tayar, Maria Bergemann, Andrew R. Casey, Jennifer A. Johnson, Joleen K. Carlberg, William Cerny, Jose G. Fernandez-Trincado, Keith Hawkins, Juna A. Kollmeier, Chervin F. P. Laporte, Guilherme Limberg, Tadafumi Matsuno, Szabolcs Meszaros, Sean Morrison, David L. Nidever, Guy S. Stringfellow, Donald P. Schneider, Riley Thai · 2025
- Limitations on Accurate, Trusted, Human-level Reasoning
Rina Panigrahy, Vatsal Sharan · 2025
- Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration
Taejong Joo, Shu Ishida, Ivan Sosnovik, Bryan Lim, Sahand Rezaei-Shoshtari, Adam Gaier, Robert Giaquinto · 2025
- From Superficial Outputs to Superficial Learning: Risks of Large Language Models in Education
Iris Delikoura, Yi. R Fung, Pan Hui · 2025
- SpinGPT: A Large-Language-Model Approach to Playing Poker Correctly
Narada Maugin, Tristan Cazenave · 2025
- A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models
Wenjun Wang, Shuo Cai, Congkai Xie, Mingfa Feng, Yiming Zhang, Zhen Li, Kejing Yang, Ming Li, Jiannong Cao, Hongxia Yang · 2025
- Small Near-Earth Objects in the Taurid Resonant Swarm
Quanzhi Ye, Jasmine Li, Denis Vida, David L. Clark, Eric C. Bellm · 2025
- Committing to the bit: Relational programming with semiring arrays and SAT solving
Dmitri Volkov, Yafei Yang, Chung-chieh Shan · 2025
- LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision
Debargha Ganguly, Sumit Kumar, Ishwar Balappanawar, Weicong Chen, Shashank Kambhatla, Srinivasan Iyengar, Shivkumar Kalyanaraman, Ponnurangam Kumaraguru, Vipin Chaudhary · 2025
- ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs
Tarunesh Verma, Yichao Yuan, Nishil Talati, Todd Austin · 2025
- Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models
Sasha Cui, Zhongren Chen · 2025
- GRB 250702B: Discovery of a Gamma-Ray Burst from a Black Hole Falling into a Star
Eliza Neights, Eric Burns, Chris L. Fryer, Dmitry Svinkin, Suman Bala, Rachel Hamburg, Ramandeep Gill, Michela Negro, Megan Masterson, James DeLaunay, David J. Lawrence, Sophie E. D. Abrahams, Yuta Kawakubo, Paz Beniamini, Christian Aa. Diget, Dmitry Frederiks, John Goldsten, Adam Goldstein, Alexander D. Hall-Smith, Erin Kara, Alison M. Laird, Gavin P. Lamb, Oliver J. Roberts, Ryan Seeb, V. Ashley Villar, Aldana Holzmann Airasca, Joseph R. Barber, P. Narayana Bhat, Elisabetta Bissaldi, Michael S. Briggs, William H Cleveland, Sarah Dalessi, Davide Depalo, Misty M. Giles, Jonathan Granot, Boyan A. Hristov, C. Michelle Hui, Andreas von Kienlin, Carolyn Kierans, Daniel Kocevski, Stephen Lesage, Alexandra L. Lysenko, Bagrat Mailyan, Christian Malacaria, Tyler Parsotan, Anna Ridnaia, Samuele Ronchini, Lorenzo Scotton, Aaron C. Trigg, Anastasia Tsvetkova, Mikhail Ulanov, Péter Veres, Maia Williams, Colleen A. Wilson-Hodge, Joshua Wood · 2025
- Can Large Language Models Develop Gambling Addiction?
Seungpil Lee, Donghyeon Shin, Yunjeong Lee, Sundong Kim · 2025
- Patient-specific Biomolecular Instruction Tuning
Irsyad Adam, Zekai Chen, David Laub, Shaun Porwal, Arda Pekis, Kevin Brown · 2025
- A Less Terrifying Universe? Mundanity as an Explanation for the Fermi Paradox
Robin H. D. Corbet · 2025
- Extract-0: A Specialized Language Model for Document Information Extraction
Henrique Godoy · 2025
- A benchmark for vericoding: formally verified program synthesis
Sergiu Bursuc, Theodore Ehrenborg, Shaowei Lin, Lacramioara Astefanoaei, Ionel Emilian Chiosa, Jure Kukovec, Alok Singh, Oliver Butterley, Adem Bizid, Quinn Dougherty, Miranda Zhao, Max Tan, Max Tegmark · 2025
- SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Lorenz K. Müller, Philippe Bich, Jiawei Zhuang, Ahmet Çelik, Luca Benfenati, Lukas Cavigelli · 2025
- OptiMind: Teaching LLMs to Think Like Optimization Experts
Xinzhi Zhang, Zeyi Chen, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan Kulkarni, Ishai Menache, Sirui Li · 2025
- Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina J. Semnani, Jirayu Burapacheep, Arpandeep Khatua, Thanawan Atchariyachanvanit, Zheng Wang, Monica S. Lam · 2025
- p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding
Runyan Tan, Shuang Wu, Phillip Howard · 2025
- Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases
Harshil Vejendla · 2025
- Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores
Ashwin Ramaswamy, Nestor Demeure, Ermal Rrapaj · 2025
- Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks
Aaron Xuxiang Tian, Ruofan Zhang, Jiayao Tang, Young Min Cho, Xueqian Li, Qiang Yi, Ji Wang, Zhunping Zhang, Danrui Qi, Zekun Li, Xingyu Xiang, Sharath Chandra Guntuku, Lyle Ungar, Tianyu Shi, Chi Wang · 2025
- Performance and Numerical Aspects of Decompositional Factorizations with FP64 Floating-Point Emulation in INT8
Piotr Luszczek, Vijay Gadepally, LaToya Anderson, William Arcand, David Bestor, William Bergeron, Alex Bonn, Daniel J. Burrill, Chansup Byun, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Julia Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner · 2025
- Community Analysis of Social Virtual Reality Based on Large-Scale Log Data of a Commercial Metaverse Platform
Hiroto Tsutsui, Takefumi Hiraki, Yuichi Hiroi, Shoichi Hasegawa · 2025
- OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling
Jihu Guo, Tenghui Ma, Wei Gao, Peng Sun, Xun Chen, Jiaxing Li, Zhisheng Ye, Yuyang Jin, Dahua Lin · 2025
- A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
Dhruvik Patel, Md Sayed Tanveer, Jesus Gonzalez-Ferrer, Alon Loeffler, Brett J. Kagan, Mohammed A. Mostajo-Radji, Ge Wang · 2025
- From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
Ouns El Harzli, Bernardo Cuenca Grau, Artur d'Avila Garcez, Ian Horrocks, Tarek R. Besold · 2025
- TeraAgent: A Distributed Agent-Based Simulation Engine for Simulating Half a Trillion Agents
Lukas Breitwieser, Ahmad Hesam, Abdullah Giray Yağlıkçı, Mohammad Sadrosadati, Fons Rademakers, Onur Mutlu · 2025
- ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models
Jincheng Liu, Sijun He, Jingjing Wu, Xiangsen Wang, Yang Chen, Zhaoqi Kuang, Siqi Bao, Yuan Yao · 2025
- Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Yinggan Xu, Roberto Dailey, Elliot Meyerson, Babak Hodjat, Risto Miikkulainen · 2025
- Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
Jonas Hübotter, Patrik Wolf, Alexander Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur · 2025
- Training Agents Inside of Scalable World Models
Danijar Hafner, Wilson Yan, Timothy Lillicrap · 2025
- Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
Fabrizio Boncoraglio, Vittorio Erba, Emanuele Troiani, Yizhou Xu, Florent Krzakala, Lenka Zdeborová · 2025
- Scalable GANs with Transformers
Sangeek Hyun, MinKyu Lee, Jae-Pil Heo · 2025
- Signaling in the Age of AI: Evidence from Cover Letters
Jingyi Cui, Gabriel Dias, Justin Ye · 2025
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister · 2025
- Pretraining Large Language Models with NVFP4
NVIDIA, Felix Abecassis, Anjulie Agrusa, Dong Ahn, Jonah Alben, Stefania Alborghetti, Michael Andersch, Sivakumar Arayandi, Alexis Bjorlin, Aaron Blakeman, Evan Briones, Ian Buck, Bryan Catanzaro, Muya Chang, Jinhang Choi, Mike Chrzanowski, Eric Chung, Victor Cui, Steve Dai, Bita Darvish Rouhani, Carlo del Mundo, Deena Donia, Burc Eryilmaz, Henry Estela, Abhinav Goel, Oleg Goncharov, Yugi Guvvala, Robert Hesse, Russell Hewett, Herbert Hum, Ujval Kapasi, Brucek Khailany, Mikail Khona, Nick Knight, Alex Kondratenko, Ronny Krashinsky, Ben Lanir, Simon Layton, Michael Lightstone, Daniel Lo, Paulius Micikevicius, Asit Mishra, Tim Moon, Deepak Narayanan, Chao Ni, Abhijit Paithankar, Satish Pasumarthi, Ankit Patel, Mostofa Patwary, Ashwin Poojary, Gargi Prasad, Sweta Priyadarshi, Yigong Qin, Xiaowei Ren, Oleg Rybakov, Charbel Sakr, Sanjeev Satheesh, Stas Sergienko, Pasha Shamis, Kirthi Shankar, Nishant Sharma, Mohammad Shoeybi, Michael Siu, Misha Smelyanskiy, Darko Stosic, Dusan Stosic, Bor-Yiing Su, Frank Sun, Nima Tajbakhsh, Shelby Thomas, Przemek Tredak, Evgeny Tsykunov, Gandhi Vaithilingam, Aditya Vavre, Rangharajan Venkatesan, Roger Waleffe, Qiyu Wan, Hexin Wang, Mengdi Wang, Lizzie Wei, Hao Wu, Evan Wu, Keith Wyss, Ning Xu, Jinze Xue, Charlene Yang, Yujia Zhai, Ruoxi Zhang, Jingyang Zhu, Zhongbo Zhu · 2025
- GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models
Peter Holderrieth, Uriel Singer, Tommi Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer · 2025
- Operationalising AI Regulatory Sandboxes: Activities, Requirements, and Technical Assessment under the EU AI Act
Alessio Buscemi, Thibault Simonetto, Daniele Pagani, German Castignani, Maxime Cordy, Jordi Cabot · 2025
- Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
Faruk Alpay, Taylan Alpay · 2025
- Calibrating Verbalized Confidence with Self-Generated Distractors
Victor Wang, Elias Stengel-Eskin · 2025
- Radiology's Last Exam (RadLE): Benchmarking Frontier Multimodal AI Against Human Experts and a Taxonomy of Visual Reasoning Errors in Radiology
Suvrankar Datta, Divya Buchireddygari, Lakshmi Vennela Chowdary Kaza, Mrudula Bhalke, Kautik Singh, Ayush Pandey, Sonit Sai Vasipalli, Upasana Karnwal, Hakikat Bir Singh Bhatti, Bhavya Ratan Maroo, Sanjana Hebbar, Rahul Joseph, Gurkawal Kaur, Devyani Singh, Akhil V, Dheeksha Devasya Shama Prasad, Nishtha Mahajan, Ayinaparthi Arisha, Rajesh Vanagundi, Reet Nandy, Kartik Vuthoo, Snigdhaa Rajvanshi, Nikhileswar Kondaveeti, Suyash Gunjal, Rishabh Jain, Rajat Jain, Anurag Agrawal · 2025
- GenVarFormer: Predicting gene expression from long-range mutations in cancer
David Laub, Ethan Armand, Arda Pekis, Zekai Chen, Irsyad Adam, Shaun Porwal, Bing Ren, Kevin Brown, Hannah Carter · 2025
- Building the EHR Foundation Model via Next Event Prediction
Zekai Chen, Arda Pekis, Kevin Brown · 2025
- STAC: When Innocent Tools Form Dangerous Chains for LLM Agents
Jing-Jing Li, Jianfeng He, Chao Shang, Devang Kulshreshtha, Xun Xian, Yi Zhang, Hang Su, Sandesh Swamy, Yanjun Qi · 2025
- The AI Productivity Index (APEX)
Bertie Vidgen, Abby Fennelly, Evan Pinnix, Julien Benchek, Daniyal Khan, Zach Richards, Austin Bridges, Calix Huang, Kanishka Sahu, Abhishek Kottamasu, Bo Ma, Ben Hunsberger, Isaac Robinson, Akul Datta, Chirag Mahapatra, Dominic Barton, Cass R. Sunstein, Eric Topol, Brendan Foody, Osvald Nitski · 2025
- Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training
Yein Park, Minbyul Jeong, Jaewoo Kang · 2025
- TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
Zhepei Wei, Xiao Yang, Kai Sun, Jiaqi Wang, Rulin Shao, Jingxiang Chen, Mohammad Kachuee, Teja Gollapudi, Yiwei Liao, Nicolas Scheffer, Rakesh Wanga, Anuj Kumar, Yu Meng, Wen-tau Yih, Xin Luna Dong · 2025
- Galton's Law of Mediocrity: Why Large Language Models Regress to the Mean and Fail at Creativity in Advertising
Matt Keon, Aabid Karim, Bhoomika Lohana, Abdul Karim, Thai Nguyen, Tara Hamilton, Ali Abbas · 2025
- Regression Language Models for Code
Yash Akhauri, Xingyou Song, Arissa Wongpanich, Bryan Lewandowski, Mohamed S. Abdelfattah · 2025
- The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Adrian Kosowski, Przemysław Uznański, Jan Chorowski, Zuzanna Stamirowska, Michał Bartoszkiewicz · 2025