All paper pages
28734 retained paper pages. Page 248 of 288.
- Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
Zhen Yang, Zi-Yi Dou, Di Feng, Forrest Huang, Anh Nguyen, Keen You, Omar Attia, Yuhao Yang, Michael Feng, Haotian Zhang, Ram Ramrakhya, Chao Jia, Jeffrey Nichols, Alexander Toshev, Yinfei Yang, Zhe Gan · 2025
- The Invisible Mentor: Inferring User Actions from Screen Recordings to Recommend Better Workflows
Litao Yan, Andrew Head, Ken Milne, Vu Le, Sumit Gulwani, Chris Parnin, Emerson Murphy-Hill · 2025
- Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
Siddarth Venkatraman, Vineet Jain, Sarthak Mittal, Vedant Shah, Johan Obando-Ceron, Yoshua Bengio, Brian R. Bartoldson, Bhavya Kailkhura, Guillaume Lajoie, Glen Berseth, Nikolay Malkin, Moksh Jain · 2025
- BigBang-Proton Technical Report: Next-Word-Prediction is Scientific Multitask Learner
Hengkui Wu, Liujiang Liu, Jihua He, Qihao Wang, Keke Zhao, Shuyang Hu, Renle Fu, Dahao Liang, Lingyu Zeng, Bruce Liu, Yuan Liu, Jin Zhan, Jiaqiang Niu, Xinglong Jia, Yaqin Hu, Wenjun Ji, Panpan Chi, Ken Chen, Hengyuan Wu, Yingsi Xin, Yongfeng Zhu, Yuexin Wang, Manqi Ruan, Ningtao Bian, Xiaohua Wu, Weipeng Xu · 2025
- Large Language Models Inference Engines based on Spiking Neural Networks
Adarsha Balaji, Sandeep Madireddy, Prasanna Balaprakash · 2025
- CHAI: Command Hijacking against embodied AI
Luis Burbano, Diego Ortiz, Qi Sun, Siwei Yang, Haoqin Tu, Cihang Xie, Yinzhi Cao, Alvaro A Cardenas · 2025
- Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls
Xiaoyan Bai, Itamar Pres, Yuntian Deng, Chenhao Tan, Stuart Shieber, Fernanda Viégas, Martin Wattenberg, Andrew Lee · 2025
- RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers
Yifan Lu, Rixin Liu, Jiayi Yuan, Xingqi Cui, Shenrun Zhang, Hongyi Liu, Jiarong Xing · 2025
- Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
Houjun Liu, Shikhar Murty, Christopher D. Manning, Róbert Csordás · 2025
- Security and Privacy Analysis of Tile's Location Tracking Protocol
Akshaya Kumar, Anna Raymaker, Michael Specter · 2025
- Redshifted civilizations, galactic empires, and the Fermi paradox
Chris Reiss, Justin C. Feng · 2025
- Empirical validation of the polarization transition in a double-random field model of elections
Jan Korbel, Remah Dahdoul, Stefan Thurner · 2025
- Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution
Alessio Devoto, Maximilian Jeblick, Simon Jégou · 2025
- AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Rudrajit Choudhuri, Carmen Badea, Christian Bird, Jenna Butler, Rob DeLine, Brian Houck · 2025
- Rethinking Thinking Tokens: LLMs as Improvement Operators
Lovish Madaan, Aniket Didolkar, Suchin Gururangan, John Quan, Ruan Silva, Ruslan Salakhutdinov, Manzil Zaheer, Sanjeev Arora, Anirudh Goyal · 2025
- Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
Jiayi Zhang, Simon Yu, Derek Chong, Anthony Sicilia, Michael R. Tomz, Christopher D. Manning, Weiyan Shi · 2025
- Uncovering Implicit Bias in Large Language Models with Concept Learning Dataset
Leroy Z. Wang · 2025
- Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision
Dimitar Peshevski, Kiril Blazhevski, Martin Popovski, Gjorgji Madjarov · 2025
- Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation
Nandakishor M · 2025
- Silent Tokens, Loud Effects: Padding in LLMs
Rom Himelstein, Amit LeVi, Yonatan Belinkov, Avi Mendelson · 2025
- A Comparative Analysis of Sparse Autoencoder and Activation Difference in Language Model Steering
Jiaqing Xie · 2025
- OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
Jianzhang Zhang, Jialong Zhou, Chuang Liu · 2025
- In AI Sweet Harmony: Sociopragmatic Guardrail Bypasses and Evaluation-Awareness in OpenAI gpt-oss-20b
Nils Durner · 2025
- Modeling Others' Minds as Code
Kunal Jha, Aydan Yuenan Huang, Eric Ye, Natasha Jaques, Max Kleiman-Weiner · 2025
- Room-Temperature Superconductivity at 298 K in Ternary La-Sc-H System at High-pressure Conditions
Yinggang Song, Chuanheng Ma, Hongbo Wang, Mi Zhou, Yanpeng Qi, Weizheng Cao, Shourui Li, Hanyu Liu, Guangtao Liu, Yanming Ma · 2025
- Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang · 2025
- Aristotle: IMO-level Automated Theorem Proving
Tudor Achim, Alex Best, Alberto Bietti, Kevin Der, Mathïs Fédérico, Sergei Gukov, Daniel Halpern-Leistner, Kirsten Henningsgard, Yury Kudryashov, Alexander Meiburg, Martin Michelsen, Riley Patterson, Eric Rodriguez, Laura Scharff, Vikram Shanker, Vladmir Sicca, Hari Sowrirajan, Aidan Swope, Matyas Tamas, Vlad Tenev, Jonathan Thomm, Harold Williams, Lawrence Wu · 2025
- Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
Myra Cheng, Cinoo Lee, Pranav Khadpe, Sunny Yu, Dyllan Han, Dan Jurafsky · 2025
- The Command Line GUIde: Graphical Interfaces from Man Pages via AI
Saketh Ram Kasibatla, Kiran Medleri Hiremath, Raven Rothkopf, Sorin Lerner, Haijun Xia, Brian Hempel · 2025
- Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
Feiyang Kang, Newsha Ardalani, Michael Kuchnik, Youssef Emad, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-Wen Li, Ramya Raghavendra, Ruoxi Jia, Carole-Jean Wu · 2025
- Position: Privacy Is Not Just Memorization!
Niloofar Mireshghallah, Tianshi Li · 2025
- Folding lattice proteins confined on minimal grids using a quantum-inspired encoding
Anders Irbäck, Lucas Knuthson, Sandipan Mohanty · 2025
- Constrained Adaptive Rejection Sampling
Paweł Parys, Sairam Vaidya, Taylor Berg-Kirkpatrick, Loris D'Antoni · 2025
- DisCo-Layout: Disentangling and Coordinating Semantic and Physical Refinement in a Multi-Agent Framework for 3D Indoor Layout Synthesis
Jialin Gao, Donghao Zhou, Mingjian Liang, Lihao Liu, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng · 2025
- xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
Maximilian Beck, Kajetan Schweighofer, Sebastian Böck, Sebastian Lehner, Sepp Hochreiter · 2025
- EntropyLong: Effective Long-Context Training via Predictive Uncertainty
Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, Zijia Lin, Debing Zhang, Songlin Hu, Binghui Guo · 2025
- DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng · 2025
- Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression
Peijun Zhu, Ning Yang, Baoliang Tian, Jiayu Wei, Weihao Zhang, Haijun Zhang, Pin Lv · 2025
- ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference
Haojie Ouyang, Jianwei Lv, Lei Ren, Chen Wei, Xiaojie Wang, Fangxiang Feng · 2025
- Conceptualizing and Modeling Communication-Based Cyberattacks on Automated Vehicles
Tianyi Li, Tianyu Liu, Yicheng Yang · 2025
- Pretraining with hierarchical memories: separating long-tail and common knowledge
Hadi Pouransari, David Grangier, C Thomas, Michael Kirchhof, Oncel Tuzel · 2025
- On The Fragility of Benchmark Contamination Detection in Reasoning Models
Han Wang, Haoyu Li, Brian Ko, Huan Zhang · 2025
- Words That Make Language Models Perceive
Sophie L. Wang, Phillip Isola, Brian Cheung · 2025
- Rational Quantum Mechanics: Testing Quantum Theory with Quantum Computers
Tim Palmer · 2025
- Finding Diamonds in Conversation Haystacks: A Benchmark for Conversational Data Retrieval
Yohan Lee, Yongwoo Song, Sangyeop Kim · 2025
- Real Time Headway Predictions in Urban Rail Systems and Implications for Service Control: A Deep Learning Approach
Muhammad Usama, Haris Koutsopoulos · 2025
- EditLens: Quantifying the Extent of AI Editing in Text
Katherine Thai, Bradley Emi, Elyas Masrour, Mohit Iyyer · 2025
- OpenZL: A Graph-Based Model for Compression
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 · 2025
- Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang · 2025
- Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair
José Cambronero, Michele Tufano, Sherry Shi, Renyao Wei, Grant Uy, Runxiang Cheng, Chin-Jung Liu, Shiying Pan, Satish Chandra, Pat Rondon · 2025
- The Optimal Strategy for Playing Lucky 13
Steven Berger, Daniel Conus · 2025
- Not Even Wrong: On the Limits of Prediction as Explanation in Cognitive Science
Mark Orr, Drew Cranford, Ken Ford, Kevin Gluck, Will Hancock, Christian Lebiere, Pete Pirolli, Frank Ritter, Andrea Stocco · 2025
- Fast frequency reconstruction using Deep Learning for event recognition in ring laser data
Giuseppe Di Somma, Giorgio Carelli, Angela D. V. Di Virgilio, Francesco Fuso, Enrico Maccioni, Paolo Marsili · 2025
- Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation
Franz A. Heinsen, Leo Kozachkov · 2025
- Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models
Adam Filipek · 2025
- You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
Richard A. Dubniczky, Bertalan Borsos, Tamas Bisztray, Norbert Tihanyi · 2025
- Drax: Speech Recognition with Discrete Flow Matching
Aviv Navon, Aviv Shamsian, Neta Glazer, Yael Segal-Feldman, Gill Hetz, Joseph Keshet, Ethan Fetaya · 2025
- Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
Haiquan Qiu, Quanming Yao · 2025
- Enhancing Speaker Verification with w2v-BERT 2.0 and Knowledge Distillation guided Structured Pruning
Ze Li, Ming Cheng, Ming Li · 2025
- What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models
Dustin Wright, Sarah Masud, Jared Moore, Srishti Yadav, Maria Antoniak, Peter Ebert Christensen, Chan Young Park, Isabelle Augenstein · 2025
- GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
Tejal Patwardhan, Rachel Dias, Elizabeth Proehl, Grace Kim, Michele Wang, Olivia Watkins, Simón Posada Fishman, Marwan Aljubeh, Phoebe Thacker, Laurance Fauconnet, Natalie S. Kim, Patrick Chao, Samuel Miserendino, Gildas Chabot, David Li, Michael Sharman, Alexandra Barr, Amelia Glaese, Jerry Tworek · 2025
- Understanding User Experiences of Computer Use Agents: Design Space and Opportunities for Building Agent UX Prototypes
Jenny T. Liang, Titus Barik, Jeffrey Nichols, Eldon Schoop, Ruijia Cheng · 2025
- CMOS 2.0 -- Redefining the Future of Scaling
Moritz Brunion, Navaneeth Kunhi Purayil, Francesco Dell'Atti, Sebastian Lam, Refik Bilgic, Mehdi Tahoori, Luca Benini, Julien Ryckaert · 2025
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun · 2025
- The Wave Function of the Universe and Inflation
Gerasimos Kouniatalis · 2025
- What shifts threshold distributions in social contagions?
Luca Lazzaro, Manuel S. Mariani, René Algesheimer, Radu Tanase · 2025
- Hybrid Architectures for Language Models: Systematic Analysis and Design Insights
Sangmin Bae, Bilge Acun, Chien-Yu Lin, Haroun Habeeb, Seungyeon Kim, Liang Luo, Junjie Wang, Carole-Jean Wu · 2025
- Less is More: Recursive Reasoning with Tiny Networks
Alexia Jolicoeur-Martineau · 2025
- Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
Om Dobariya, Akhil Kumar · 2025
- SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
Théophane Vallaeys, Jakob Verbeek, Matthieu Cord · 2025
- Think Then Embed: Generative Context Improves Multimodal Embedding
Xuanming Cui, Jianpeng Cheng, Hong-you Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Kumar Mishra, Yonghuan Yang, Jun Xiao, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan · 2025
- Large Language Models Achieve Gold Medal Performance at the International Olympiad on Astronomy & Astrophysics (IOAA)
Lucas Carrit Delgado Pinheiro, Ziru Chen, Bruno Caixeta Piazza, Ness Shroff, Yingbin Liang, Yuan-Sen Ting, Huan Sun · 2025
- SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
Dachuan Shi, Abedelkadir Asi, Keying Li, Xiangchi Yuan, Leyan Pan, Wenke Lee, Wen Xiao · 2025
- Paper2Video: Automatic Video Generation from Scientific Papers
Zeyu Zhu, Kevin Qinghong Lin, Mike Zheng Shou · 2025
- A Single Character can Make or Break Your LLM Evals
Jingtong Su, Jianyu Zhang, Karen Ullrich, Léon Bottou, Mark Ibrahim · 2025
- Agentic Misalignment: How LLMs Could Be Insider Threats
Aengus Lynch, Benjamin Wright, Caleb Larson, Stuart J. Ritchie, Soren Mindermann, Evan Hubinger, Ethan Perez, Kevin Troy · 2025
- AgentZero++: Modeling Fear-Based Behavior
Vrinda Malhotra, Jiaman Li, Nandini Pisupati · 2025
- OptPipe: Memory- and Scheduling-Optimized Pipeline Parallelism for LLM Training
Hongpei Li, Han Zhang, Huikang Liu, Dongdong Ge, Yinyu Ye · 2025
- CEPC Technical Design Report -- Reference Detector
The CEPC Study Group · 2025
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
Alexander M. Fichtl, Jeremias Bohn, Josefin Kelber, Edoardo Mosca, Georg Groh · 2025
- Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A Huerta, Hao Peng · 2025
- Scalable In-context Ranking with Generative Models
Nilesh Gupta, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Inderjit Dhillon, Felix Yu · 2025
- Do Code Models Suffer from the Dunning-Kruger Effect?
Mukul Singh, Somya Chatterjee, Arjun Radhakrishna, Sumit Gulwani · 2025
- Artificially intelligent agents in the social and behavioral sciences: A history and outlook
Petter Holme, Milena Tsvetkova · 2025
- Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
Batu El, James Zou · 2025
- Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models
Gagan Bhatia, Somayajulu G Sripada, Kevin Allan, Jacobo Azcona · 2025
- Barbarians at the Gate: How AI is Upending Systems Research
Audrey Cheng, Shu Liu, Melissa Pan, Zhifei Li, Bowen Wang, Alex Krentsel, Tian Xia, Mert Cemri, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya Agrawal, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica · 2025
- Anonymous Quantum Tokens with Classical Verification
Dmytro Gavinsky, Dar Gilboa, Siddhartha Jain, Dmitri Maslov, Jarrod R. McClean · 2025
- Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
Enrique Queipo-de-Llano, Álvaro Arroyo, Federico Barbero, Xiaowen Dong, Michael Bronstein, Yann LeCun, Ravid Shwartz-Ziv · 2025
- AI Eyes on the Road: Cross-Cultural Perspectives on Traffic Surveillance
Ziming Wang, Shiwei Yang, Rebecca Currano, Morten Fjeld, David Sirkin · 2025
- Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security
Ali Naseh, Anshuman Suri, Yuefeng Peng, Harsh Chaudhari, Alina Oprea, Amir Houmansadr · 2025
- The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning
Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron Courville, Siva Reddy · 2025
- Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
Cen Mia Zhao, Tiantian Zhang, Hanchen Su, Yufeng Wayne Zhang, Shaowei Su, Mingzhi Xu, Yu Elaine Liu, Wei Han, Jeremy Werner, Claire Na Cheng, Yashar Mehdad · 2025
- Neuromorphic Computing - An Overview
Benedikt Jung, Maximilian Kalcher, Merlin Marinova, Piper Powell, Esma Sakalli · 2025
- Identifying the secondary jet in the RadioAstron image of OJ~287
Mauri J. Valtonen, Lankeswar Dey, Staszek Zola, Alok C. Gupta, Shubham Kishore, Achamveedu Gopakumar, Paul J. Wiita, Minfeng Gu, Kari Nilsson, Zhongli Zhang, Rene Hudec, Katsura Matsumoto, Marek Drozdz, Waldemar Ogloza, Andrei V. Berdyugin, Daniel E. Reichart, Markus Mugrauer, Tapio Pursimo, Stefano Ciprini, Tatsuya Nakaoka, Makoto Uemura, Ryo Imazawa, Michal Zejmo, Vladimir V. Kouprianov, James W. Davidson,, Alberto Sadun, Jan Strobl, Martin Jelinek, Abhimanyu Susobhanan · 2025
- Bionetta: Efficient Client-Side Zero-Knowledge Machine Learning Proving
Dmytro Zakharov, Oleksandr Kurbatov, Artem Sdobnov, Lev Soukhanov, Yevhenii Sekhin, Vitalii Volovyk, Mykhailo Velykodnyi, Mark Cherepovskyi, Kyrylo Baibula, Lasha Antadze, Pavlo Kravchenko, Volodymyr Dubinin, Yaroslav Panasenko · 2025
- Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Alexandra Souly, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, Vasilios Mavroudis, Erik Jones, Chris Hicks, Nicholas Carlini, Yarin Gal, Robert Kirk · 2025
- h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
Sumeet Ramesh Motwani, Alesia Ivanova, Ziyang Cai, Philip Torr, Riashat Islam, Shital Shah, Christian Schroeder de Witt, Charles London · 2025
- GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter · 2025
- Truth-Aware Decoding: A Program-Logic Approach to Factual Language Generation
Faruk Alpay, Hamdi Alakkad · 2025