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28734 retained paper pages. Page 237 of 288.
- GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity Guidance
Zaixi Zhang, Zhenghong Zhou, Ruofan Jin, Le Cong, Mengdi Wang · 2025
- Bubble-Burst Synthesis of Ammonia, Amino Acids, and Urea Under Ambient, Catalyst-Free Conditions
Jerome J. Cuomo, Ian Goodall, C. Richard Guarnieri, Gennaro, Cuomo, Stephen Hudak · 2025
- Quantum computing and artificial intelligence: status and perspectives
Giovanni Acampora, Andris Ambainis, Natalia Ares, Leonardo Banchi, Pallavi Bhardwaj, Daniele Binosi, G. Andrew D. Briggs, Tommaso Calarco, Vedran Dunjko, Jens Eisert, Olivier Ezratty, Paul Erker, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Sophie A. Neubauer, Evert van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm · 2025
- Gibbs randomness-compression proposition
M Süzen · 2025
- Gravitational Bounce from the Quantum Exclusion Principle
Enrique Gaztanaga, K. Sravan Kumar, Swaraj Pradhan, Michael Gabler · 2025
- Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
Yu He, Yingxi Li, Colin White, Ellen Vitercik · 2025
- Equivalent Linear Mappings of Large Language Models
James R. Golden · 2025
- Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution
Zexin Fu, Riccardo Tedeschi, Gianmarco Ottavi, Nils Wistoff, César Fuguet, Davide Rossi, Luca Benini · 2025
- Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
Vasilije Markovic, Lazar Obradovic, Laszlo Hajdu, Jovan Pavlovic · 2025
- Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat, Ariye Shater · 2025
- BPE Stays on SCRIPT: Structured Encoding for Robust Multilingual Pretokenization
Sander Land, Catherine Arnett · 2025
- Survey: On the Landscape of Graph Databases
Miguel E. Coimbra, Lucie Svitáková, Domagoj Vrgoč, Alexandre P. Francisco, Luís Veiga · 2025
- REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
Zafir Stojanovski, Oliver Stanley, Joe Sharratt, Richard Jones, Abdulhakeem Adefioye, Jean Kaddour, Andreas Köpf · 2025
- Simple contagion drives population-scale platform migration
Dorian Quelle, Frederic Denker, Prashant Garg, Alexandre Bovet · 2025
- How much do language models memorize?
John X. Morris, Chawin Sitawarin, Chuan Guo, Narine Kokhlikyan, G. Edward Suh, Alexander M. Rush, Kamalika Chaudhuri, Saeed Mahloujifar · 2025
- ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong · 2025
- Evaluating the Sensitivity of LLMs to Prior Context
Robert Hankache, Kingsley Nketia Acheampong, Liang Song, Marek Brynda, Raad Khraishi, Greig A. Cowan · 2025
- Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards
Ruipeng Jia, Yunyi Yang, Yongbo Gai, Kai Luo, Shihao Huang, Jianhe Lin, Xiaoxi Jiang, Guanjun Jiang · 2025
- Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics
Reece Keller, Alyn Kirsch, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi · 2025
- What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perez, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, Erin Barrar · 2025
- A Constructive Proof of Existence and Mass Gap for Pure SU(3) Yang-Mills in Four-Dimensional Space-Time
D. C. Jacobsen · 2025
- Lossless Token Sequence Compression via Meta-Tokens
John Harvill, Ziwei Fan, Hao Wang, Luke Huan, Anoop Deoras, Yizhou Sun, Hao Ding · 2025
- An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3
Brendan Sands, Yining Wang, Chenhao Xu, Yuxuan Zhou, Lai Wei, Rohitash Chandra · 2025
- ResTest: Targeted Coverage of Residual Not-Covered Code Using Large Language Models for Web GUI Testing
Chenxu Liu, Zhiyu Gu, Guoquan Wu, Ying Zhang, Wei Yang, Jun Wei, Tao Xie · 2025
- Predicting Empirical AI Research Outcomes with Language Models
Jiaxin Wen, Chenglei Si, Yueh-han Chen, He He, Shi Feng · 2025
- MCP-Zero: Active Tool Discovery for Autonomous LLM Agents
Xiang Fei, Xiawu Zheng, Hao Feng · 2025
- zip2zip: Inference-Time Adaptive Tokenization via Online Compression
Saibo Geng, Nathan Ranchin, Yunzhen yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West · 2025
- A Word is Worth 4-bit: Efficient Log Parsing with Binary Coded Decimal Recognition
Prerak Srivastava, Giulio Corallo, Sergey Rybalko · 2025
- WishGI: Lightweight Static Global Illumination Baking via Spherical Harmonics Fitting
Junke Zhu, Zehan Wu, Qixing Zhang, Cheng Liao, Zhangjin Huang · 2025
- Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee, Yassir Jedra, Alexandre Proutière, Se-Young Yun · 2025
- ETDI: Mitigating Tool Squatting and Rug Pull Attacks in Model Context Protocol (MCP) by using OAuth-Enhanced Tool Definitions and Policy-Based Access Control
Manish Bhatt, Vineeth Sai Narajala, Idan Habler · 2025
- General agents contain world models
Jonathan Richens, David Abel, Alexis Bellot, Tom Everitt · 2025
- Improved belief propagation is sufficient for real-time decoding of quantum memory
Tristan Müller, Thomas Alexander, Michael E. Beverland, Markus Bühler, Blake R. Johnson, Thilo Maurer, Drew Vandeth · 2025
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Mustafa Shukor, Dana Aubakirova, Francesco Capuano, Pepijn Kooijmans, Steven Palma, Adil Zouitine, Michel Aractingi, Caroline Pascal, Martino Russi, Andres Marafioti, Simon Alibert, Matthieu Cord, Thomas Wolf, Remi Cadene · 2025
- Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence
John Violos, Konstantina-Christina Diamanti, Ioannis Kompatsiaris, Symeon Papadopoulos · 2025
- Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models
Yifan Hao, Chenlu Ye, Chi Han, Tong Zhang · 2025
- Large language models can learn and generalize steganographic chain-of-thought under process supervision
Joey Skaf, Luis Ibanez-Lissen, Robert McCarthy, Connor Watts, Vasil Georgiv, Hannes Whittingham, Lorena Gonzalez-Manzano, David Lindner, Cameron Tice, Edward James Young, Puria Radmard · 2025
- Esoteric Language Models: A Family of Any-Order Diffusion LLMs
Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri, Johnna Liu, Deepansha Singh, Zhoujun Cheng, Zhengzhong Liu, Eric Xing, John Thickstun, Arash Vahdat · 2025
- Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xionghui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin · 2025
- Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons
Andrew Kiruluta, Preethi Raju, Priscilla Burity · 2025
- SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
Yuhao Shen, Junyi Shen, Quan Kong, Tianyu Liu, Yao Lu, Cong Wang · 2025
- EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration
Beichen Huang, Ran Cheng, Kay Chen Tan · 2025
- Small Language Models are the Future of Agentic AI
Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov · 2025
- Spegion: Implicit and Non-Lexical Regions with Sized Allocations
Jack Hughes, Michael Vollmer, Mark Batty · 2025
- Auto-Labeling Data for Object Detection
Brent A. Griffin, Manushree Gangwar, Jacob Sela, Jason J. Corso · 2025
- Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
Chamara Madarasingha, Nasrin Sohrabi, Zahir Tari · 2025
- Voyager: Real-Time Splatting City-Scale Gaussians on Resource-Constrained Devices
Zheng Liu, He Zhu, Xinyang Li, Yirun Wang, Yujiao Shi, Yiming Gan, Wei Li, Jingwen Leng, Minyi Guo, Yu Feng · 2025
- Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights
Mathieu Andreux, Breno Baldas Skuk, Hamza Benchekroun, Emilien Biré, Antoine Bonnet, Riaz Bordie, Nathan Bout, Matthias Brunel, Pierre-Louis Cedoz, Antoine Chassang, Mickaël Chen, Alexandra D. Constantinou, Antoine d'Andigné, Hubert de La Jonquière, Aurélien Delfosse, Ludovic Denoyer, Alexis Deprez, Augustin Derupti, Michael Eickenberg, Mathïs Federico, Charles Kantor, Xavier Koegler, Yann Labbé, Matthew C. H. Lee, Erwan Le Jumeau de Kergaradec, Amir Mahla, Avshalom Manevich, Adrien Maret, Charles Masson, Rafaël Maurin, Arturo Mena, Philippe Modard, Axel Moyal, Axel Nguyen Kerbel, Julien Revelle, Mats L. Richter, María Santos, Laurent Sifre, Maxime Theillard, Marc Thibault, Louis Thiry, Léo Tronchon, Nicolas Usunier, Tony Wu · 2025
- CoT is Not True Reasoning, It Is Just a Tight Constraint to Imitate: A Theory Perspective
Jintian Shao, Yiming Cheng · 2025
- Large Processor Chip Model
Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuan Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaochun Ye, Kuai Yu, Rui Zhang, Shuoming Zhang, Jiacheng Zhao · 2025
- Linear Spatial World Models Emerge in Large Language Models
Matthieu Tehenan, Christian Bolivar Moya, Tenghai Long, Guang Lin · 2025
- The Vampire Diary
Filip Bártek, Ahmed Bhayat, Robin Coutelier, Márton Hajdu, Matthias Hetzenberger, Petra Hozzová, Laura Kovács, Jakob Rath, Michael Rawson, Giles Reger, Martin Suda, Johannes Schoisswohl, Andrei Voronkov · 2025
- GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
Junghyun Lee, Kyoungseok Jang, Kwang-Sung Jun, Milan Vojnović, Se-Young Yun · 2025
- Tour de gross: A modular quantum computer based on bivariate bicycle codes
Theodore J. Yoder, Eddie Schoute, Patrick Rall, Emily Pritchett, Jay M. Gambetta, Andrew W. Cross, Malcolm Carroll, Michael E. Beverland · 2025
- Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff
Sophie Greenwood, Karen Levy, Solon Barocas, Hoda Heidari, Jon Kleinberg · 2025
- Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian, Ke Shen, Mengdi Wang · 2025
- Not All Tokens Are Meant to Be Forgotten
Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu · 2025
- A Trustworthiness-based Metaphysics of Artificial Intelligence Systems
Andrea Ferrario · 2025
- Politics and polarization on Bluesky
Ali Salloum, Dorian Quelle, Letizia Iannucci, Alexandre Bovet, Mikko Kivelä · 2025
- Asterinas: A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB
Yuke Peng, Hongliang Tian, Zhang Junyang, Ruihan Li, Chengjun Chen, Jianfeng Jiang, Jinyi Xian, Xiaolin Wang, Chenren Xu, Diyu Zhou, Yingwei Luo, Shoumeng Yan, Yinqian Zhang · 2025
- Lonely Little Red Dots: Challenges to the AGN-nature of little red dots through their clustering and spectral energy distributions
María Carranza-Escudero, Christopher J. Conselice, Nathan Adams, Thomas Harvey, Duncan Austin, Peter Behroozi, Leonardo Ferreira, Katherine Ormerod, Qiao Duan, James Trussler, Qiong Li, Lewi Westcott, Rogier A. Windhorst, Dan Coe, Seth H. Cohen, Cheng Cheng, Simon P. Driver, Brenda Frye, Lukas J. Furtak, Norman A. Grogin, Nimish P. Hathi, Rolf A. Jansen, Anton M. Koekemoer, Madeline A. Marshall, Rosalia O'Brien, Norbert Pirzkal, Maria Polletta, Aaron Robotham, Michael J. Rutkowski, Jake Summers, Stephen M. Wilkins, Christopher N. A. Willmer, Haojing Yan, Adi Zitrin · 2025
- EuroLLM-9B: Technical Report
Pedro Henrique Martins, João Alves, Patrick Fernandes, Nuno M. Guerreiro, Ricardo Rei, Amin Farajian, Mateusz Klimaszewski, Duarte M. Alves, José Pombal, Nicolas Boizard, Manuel Faysse, Pierre Colombo, François Yvon, Barry Haddow, José G. C. de Souza, Alexandra Birch, André F. T. Martins · 2025
- Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
Jonathan Geuter, Youssef Mroueh, David Alvarez-Melis · 2025
- Horizon Reduction Makes RL Scalable
Seohong Park, Kevin Frans, Deepinder Mann, Benjamin Eysenbach, Aviral Kumar, Sergey Levine · 2025
- OpenThoughts: Data Recipes for Reasoning Models
Etash Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt · 2025
- CPU-Based Layout Design for Picker-to-Parts Pallet Warehouses
Timo Looms, Lin Xie · 2025
- Is Perturbation-Based Image Protection Disruptive to Image Editing?
Qiuyu Tang, Bonor Ayambem, Mooi Choo Chuah, Aparna Bharati · 2025
- Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
Achleshwar Luthra, Tianbao Yang, Tomer Galanti · 2025
- Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
Apurv Verma, NhatHai Phan, Shubhendu Trivedi · 2025
- Inference economics of language models
Ege Erdil · 2025
- FlashMoE: Fast Distributed MoE in a Single Kernel
Osayamen Jonathan Aimuyo, Byungsoo Oh, Rachee Singh · 2025
- Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design
Yongfu Zhu, Lin Sun, Jinzhu Wu, Weihong Lin, Xiaoqi Jian, Guangxiang Zhao, Change Jia, Linglin Zhang, Sai-er Hu, Yuhan Wu, Xiangzheng Zhang · 2025
- Log-Linear Attention
Han Guo, Songlin Yang, Tarushii Goel, Eric P. Xing, Tri Dao, Yoon Kim · 2025
- Towards LLM-Centric Multimodal Fusion: A Survey on Integration Strategies and Techniques
Jisu An, Junseok Lee, Jeoungeun Lee, Yongseok Son · 2025
- QiMeng: Fully Automated Hardware and Software Design for Processor Chip
Rui Zhang, Yuanbo Wen, Shuyao Cheng, Di Huang, Shaohui Peng, Jiaming Guo, Pengwei Jin, Jiacheng Zhao, Tianrui Ma, Yaoyu Zhu, Yifan Hao, Yongwei Zhao, Shengwen Liang, Ying Wang, Xing Hu, Zidong Du, Huimin Cui, Ling Li, Qi Guo, Yunji Chen · 2025
- Planets similar in size are often dissimilar in interior
E. Mamonova, Y. Shan, P. Hatalova, S. C. Werner · 2025
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Yanzhao Zhang, Mingxin Li, Dingkun Long, Xin Zhang, Huan Lin, Baosong Yang, Pengjun Xie, An Yang, Dayiheng Liu, Junyang Lin, Fei Huang, Jingren Zhou · 2025
- RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context
Jackson Petty, Michael Y. Hu, Wentao Wang, Shauli Ravfogel, William Merrill, Tal Linzen · 2025
- The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text
Nikhil Kandpal, Brian Lester, Colin Raffel, Sebastian Majstorovic, Stella Biderman, Baber Abbasi, Luca Soldaini, Enrico Shippole, A. Feder Cooper, Aviya Skowron, John Kirchenbauer, Shayne Longpre, Lintang Sutawika, Alon Albalak, Zhenlin Xu, Guilherme Penedo, Loubna Ben Allal, Elie Bakouch, John David Pressman, Honglu Fan, Dashiell Stander, Guangyu Song, Aaron Gokaslan, Tom Goldstein, Brian R. Bartoldson, Bhavya Kailkhura, Tyler Murray · 2025
- MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
Johannes von Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, Sarthak Mittal, Maximilian Schlegel, Kaitlin Maile, Yanick Schimpf, Oliver Sieberling, Alexander Meulemans, Rif A. Saurous, Guillaume Lajoie, Charlotte Frenkel, Razvan Pascanu, Blaise Agüera y Arcas, João Sacramento · 2025
- Kinetics: Rethinking Test-Time Scaling Laws
Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng, Yang Zhou, Emma Strubell, Beidi Chen · 2025
- Contrastive Flow Matching
George Stoica, Vivek Ramanujan, Xiang Fan, Ali Farhadi, Ranjay Krishna, Judy Hoffman · 2025
- Gen4D: Synthesizing Humans and Scenes in the Wild
Jerrin Bright, Zhibo Wang, Yuhao Chen, Sirisha Rambhatla, John Zelek, David Clausi · 2025
- Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs
Wanyun Cui, Mingwei Xu · 2025
- SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
Patrik Czakó, Gábor Kertész, Sándor Szénási · 2025
- Sentinel: SOTA model to protect against prompt injections
Dror Ivry, Oran Nahum · 2025
- PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers
Yuchen Lin, Chenguo Lin, Panwang Pan, Honglei Yan, Yiqiang Feng, Yadong Mu, Katerina Fragkiadaki · 2025
- BestServe: Serving Strategies with Optimal Goodput in Collocation and Disaggregation Architectures
Xiannan Hu, Tianyou Zeng, Xiaoming Yuan, Liwei Song, Guangyuan Zhang, Bangzheng He · 2025
- Neural Visibility Cache for Real-Time Light Sampling
Jakub Bokšanský, Daniel Meister · 2025
- The JPEG XL Image Coding System: History, Features, Coding Tools, Design Rationale, and Future
Jon Sneyers, Jyrki Alakuijala, Luca Versari, Zoltán Szabadka, Sami Boukortt, Amnon Cohen-Tidhar, Moritz Firsching, Evgenii Kliuchnikov, Tal Lev-Ami, Eric Portis, Thomas Richter, Osamu Watanabe · 2025
- Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf · 2025
- Hardware Accelerated Neural Block Texture Compression with Cooperative Vectors
Belcour Laurent, Benyoub Anis · 2025
- Text-to-LoRA: Instant Transformer Adaption
Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange · 2025
- The Lock-in Hypothesis: Stagnation by Algorithm
Tianyi Alex Qiu, Zhonghao He, Tejasveer Chugh, Max Kleiman-Weiner · 2025
- Can Theoretical Physics Research Benefit from Language Agents?
Sirui Lu, Zhijing Jin, Terry Jingchen Zhang, Pavel Kos, J. Ignacio Cirac, Bernhard Schölkopf · 2025
- Cartridges: Lightweight and general-purpose long context representations via self-study
Sabri Eyuboglu, Ryan Ehrlich, Simran Arora, Neel Guha, Dylan Zinsley, Emily Liu, Will Tennien, Atri Rudra, James Zou, Azalia Mirhoseini, Christopher Re · 2025
- STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Angel Bautista, Josh Susskind, Shuangfei Zhai · 2025
- Distillation Robustifies Unlearning
Bruce W. Lee, Addie Foote, Alex Infanger, Leni Shor, Harish Kamath, Jacob Goldman-Wetzler, Bryce Woodworth, Alex Cloud, Alexander Matt Turner · 2025
- dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qingyan Wei, Shaobo Wang, Yichen Zhu, Linfeng Zhang · 2025
- How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare
Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli, Nick Bostrom, Nicholas A. Christakis, David Garcia, Amit Goldenberg, Yara Kyrychenko, Kevin Leyton-Brown, Nina Lutz, Gary Marcus, Filippo Menczer, Gordon Pennycook, David G. Rand, Maria Ressa, Frank Schweitzer, Dawn Song, Christopher Summerfield, Audrey Tang, Jay J. Van Bavel, Sander van der Linden, Jonas R. Kunst · 2025