All paper pages
28734 retained paper pages. Page 219 of 288.
- Parsing Millions of DNS Records per Second
Jeroen Koekkoek, Daniel Lemire · 2024
- Hardware Trends Impacting Floating-Point Computations In Scientific Applications
Jack Dongarra, John Gunnels, Harun Bayraktar, Azzam Haidar, Dan Ernst · 2024
- Is Locational Marginal Price All You Need for Locational Marginal Emission?
Xuan He, Danny H. K. Tsang, Yize Chen · 2024
- Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels
Haodong Chen, Runnan Chen, Qiang Qu, Zhaoqing Wang, Tongliang Liu, Xiaoming Chen, Yuk Ying Chung · 2024
- Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi, Julien Siems, Arber Zela, Jörg K. H. Franke, Frank Hutter, Massimiliano Pontil · 2024
- Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo · 2024
- SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text
Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen · 2024
- Conversational Medical AI: Ready for Practice
Antoine Lizée, Pierre-Auguste Beaucoté, James Whitbeck, Marion Doumeingts, Anaël Beaugnon, Isabelle Feldhaus · 2024
- Squeezy: Rapid VM Memory Reclamation for Serverless Functions
Orestis Lagkas Nikolos, Chloe Alverti, Stratos Psomadakis, Georgios Goumas, Nectarios Koziris · 2024
- Evaluating LLMs Capabilities Towards Understanding Social Dynamics
Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin N. Silva, Deborah L. Hall, Huan Liu · 2024
- Cyborg Insect Factory: Automatic Assembly System to Build up Insect-computer Hybrid Robot Based on Vision-guided Robotic Arm Manipulation of Custom Bipolar Electrodes
Qifeng Lin, Nghia Vuong, Kewei Song, Phuoc Thanh Tran-Ngoc, Greg Angelo Gonzales Nonato, Hirotaka Sato · 2024
- Existential Conversations with Large Language Models: Content, Community, and Culture
Murray Shanahan, Beth Singler · 2024
- Unconditionally stable symplectic integrators for the Navier-Stokes equations and other dissipative systems
Sutthikiat Sungkeetanon, Joseph S. Gaglione, Robert L. Chapman, Tyler M. Kelly, Howard A. Cushman, Blakeley H. Odom, Bryan MacGavin, Gafar A. Elamin, Nathan J. Washuta, Jonathan E. Crosmer, Adam C. DeVoria, John W. Sanders · 2024
- Improved GUI Grounding via Iterative Narrowing
Anthony Nguyen · 2024
- Hymba: A Hybrid-head Architecture for Small Language Models
Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Lin, Jan Kautz, Pavlo Molchanov · 2024
- Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research
Luca Pajola, Saskia Laura Schröer, Pier Paolo Tricomi, Mauro Conti, Giovanni Apruzzese · 2024
- FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting
Ola Shorinwa, Jiankai Sun, Mac Schwager · 2024
- Strict universality of the square-root law in price impact across stocks: a complete survey of the Tokyo stock exchange
Yuki Sato, Kiyoshi Kanazawa · 2024
- Translating C To Rust: Lessons from a User Study
Ruishi Li, Bo Wang, Tianyu Li, Prateek Saxena, Ashish Kundu · 2024
- Evaluating the Robustness of Analogical Reasoning in Large Language Models
Martha Lewis, Melanie Mitchell · 2024
- Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
Javier Ferrando, Oscar Obeso, Senthooran Rajamanoharan, Neel Nanda · 2024
- Datalog with First-Class Facts
Thomas Gilray, Arash Sahebolamri, Yihao Sun, Sowmith Kunapaneni, Sidharth Kumar, Kristopher Micinski · 2024
- ACRIC: Securing Legacy Communication Networks via Authenticated Cyclic Redundancy Integrity Check
Alessandro Lotto, Alessandro Brighente, Mauro Conti · 2024
- Multimodal Autoregressive Pre-training of Large Vision Encoders
Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor Guilherme Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander T Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby · 2024
- Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Yu Zhao, Huifeng Yin, Bo Zeng, Hao Wang, Tianqi Shi, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang · 2024
- Improving training time and GPU utilization in geo-distributed language model training
Palak, Tella Rajashekhar Reddy, Bhaskar Kataria, Rohan Gandhi, Karan Tandon, Debopam Bhattacherjee, Venkata N. Padmanabhan · 2024
- Reasoning over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations
Zhangchi Qiu, Linhao Luo, Shirui Pan, Alan Wee-Chung Liew · 2024
- GhostRNN: Reducing State Redundancy in RNN with Cheap Operations
Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han · 2024
- Planning-Driven Programming: A Large Language Model Programming Workflow
Chao Lei, Yanchuan Chang, Nir Lipovetzky, Krista A. Ehinger · 2024
- A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its Benefits
Tsogt-Ochir Enkhbayar · 2024
- RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
Hjalmar Wijk, Tao Lin, Joel Becker, Sami Jawhar, Neev Parikh, Thomas Broadley, Lawrence Chan, Michael Chen, Josh Clymer, Jai Dhyani, Elena Ericheva, Katharyn Garcia, Brian Goodrich, Nikola Jurkovic, Holden Karnofsky, Megan Kinniment, Aron Lajko, Seraphina Nix, Lucas Sato, William Saunders, Maksym Taran, Ben West, Elizabeth Barnes · 2024
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Chris Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi · 2024
- DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao, Shaoyu Chen, Haoran Yin, Bo Jiang, Cheng Wang, Sixu Yan, Xinbang Zhang, Xiangyu Li, Ying Zhang, Qian Zhang, Xinggang Wang · 2024
- LightLLM: A Versatile Large Language Model for Predictive Light Sensing
Jiawei Hu, Hong Jia, Mahbub Hassan, Lina Yao, Brano Kusy, Wen Hu · 2024
- A No Free Lunch Theorem for Human-AI Collaboration
Kenny Peng, Nikhil Garg, Jon Kleinberg · 2024
- A Survey on LLM-as-a-Judge
Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, Saizhuo Wang, Kun Zhang, Yuanzhuo Wang, Wen Gao, Lionel Ni, Jian Guo · 2024
- Beryllium: The smoking gun of a rejuvenated star
Anne Rathsam, Jorge Meléndez, Amanda I. Karakas · 2024
- DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Yingzhou Lu, Yue Zhao · 2024
- A reassessment of LVE method and hemispherical power asymmetry in CMB temperature data from Planck PR4
Sanjeev Sanyal, Sanjeet K. Patel, Pavan K. Aluri, Arman Shafieloo · 2024
- Do LLMs Really Think Step-by-step In Implicit Reasoning?
Yijiong Yu · 2024
- The composition rule for quantum systems is not the only possible one
Marco Erba, Paolo Perinotti · 2024
- Kleene algebra with commutativity conditions is undecidable
Arthur Azevedo de Amorim, Cheng Zhang, Marco Gaboardi · 2024
- Cautious Optimizers: Improving Training with One Line of Code
Kaizhao Liang, Lizhang Chen, Bo Liu, Qiang Liu · 2024
- Asynchronous I/O -- With Great Power Comes Great Responsibility
Constantin Pestka, Marcus Paradies, Matthias Pohl · 2024
- Float Self-Tagging
Olivier Melançon, Manuel Serrano, Marc Feeley · 2024
- Detection of X-ray Emission from a Bright Long-Period Radio Transient
Ziteng Wang, Nanda Rea, Tong Bao, David L. Kaplan, Emil Lenc, Zorawar Wadiasingh, Jeremy Hare, Andrew Zic, Akash Anumarlapudi, Apurba Bera, Paz Beniamini, A. J. Cooper, Tracy E. Clarke, Adam T. Deller, J. R. Dawson, Marcin Glowacki, Natasha Hurley-Walker, S. J. McSweeney, Emil J. Polisensky, Wendy M. Peters, George Younes, Keith W. Bannister, Manisha Caleb, Kristen C. Dage, Clancy W. James, Mansi M. Kasliwal, Viraj Karambelkar, Marcus E. Lower, Kaya Mori, Stella Koch Ocker, Miguel Pérez-Torres, Hao Qiu, Kovi Rose, Ryan M. Shannon, Rhianna Taub, Fayin Wang, Yuanming Wang, Zhenyin Zhao, N. D. R. Bhat, Dougal Dobie, Laura N. Driessen, Tara Murphy, Akhil Jaini, Xinping Deng, Joscha N. Jahns-Schindler, Y. W. J. Lee, Joshua Pritchard, John Tuthill, Nithyanandan Thyagarajan · 2024
- Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
Sohee Yang, Nora Kassner, Elena Gribovskaya, Sebastian Riedel, Mor Geva · 2024
- Footstep recognition as people identification: A Systematic literature review
Arif Rachmat · 2024
- Boundless Socratic Learning with Language Games
Tom Schaul · 2024
- PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang · 2024
- Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis
Masoud Jamshidiyan Tehrani · 2024
- ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Kevin Qinghong Lin, Linjie Li, Difei Gao, Zhengyuan Yang, Shiwei Wu, Zechen Bai, Weixian Lei, Lijuan Wang, Mike Zheng Shou · 2024
- The Limits of Inference Scaling Through Resampling
Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan · 2024
- Pushing the Limits of Large Language Model Quantization via the Linearity Theorem
Vladimir Malinovskii, Andrei Panferov, Ivan Ilin, Han Guo, Peter Richtárik, Dan Alistarh · 2024
- SketchAgent: Language-Driven Sequential Sketch Generation
Yael Vinker, Tamar Rott Shaham, Kristine Zheng, Alex Zhao, Judith E Fan, Antonio Torralba · 2024
- Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations
Igor Fedorov, Kate Plawiak, Lemeng Wu, Tarek Elgamal, Naveen Suda, Eric Smith, Hongyuan Zhan, Jianfeng Chi, Yuriy Hulovatyy, Kimish Patel, Zechun Liu, Changsheng Zhao, Yangyang Shi, Tijmen Blankevoort, Mahesh Pasupuleti, Bilge Soran, Zacharie Delpierre Coudert, Rachad Alao, Raghuraman Krishnamoorthi, Vikas Chandra · 2024
- MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
Mohammadali Shakerdargah, Shan Lu, Chao Gao, Di Niu · 2024
- 3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning
Yuncong Yang, Han Yang, Jiachen Zhou, Peihao Chen, Hongxin Zhang, Yilun Du, Chuang Gan · 2024
- STAR: Synthesis of Tailored Architectures
Armin W. Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli · 2024
- Can LLMs plan paths in the real world?
Wanyi Chen, Meng-Wen Su, Nafisa Mehjabin, Mary L. Cummings · 2024
- Large Language Model-Brained GUI Agents: A Survey
Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang · 2024
- Approximating Mathematical Constants using Minecraft
Molly Lynch, Michael Weselcouch · 2024
- The Rise and Fall of Ideas' Popularity
Piero Mazzarisi, Alessio Muscillo, Claudio Pacati, Paolo Pin · 2024
- Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs
Rong Wang, Kun Sun, Jonas Kuhn · 2024
- Potential technosignature from anomalously low deuterium/hydrogen (D/H) in planetary water depleted by nuclear fusion technology
David C. Catling, Joshua Krissansen-Totton, Tyler D. Robinson · 2024
- Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay
Jiadong Liang, Adam Kabbara, Jiaying Liu, Ronaldo Luo, Kina Kim, Michael Guerzhoy · 2024
- NewsEdits 2.0: Learning the Intentions Behind Updating News
Alexander Spangher, Kung-Hsiang Huang, Hyundong Cho, Jonathan May · 2024
- Unifying Generative and Dense Retrieval for Sequential Recommendation
Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D Nowak, Xiaoli Gao, Hamid Eghbalzadeh · 2024
- The dramatic transition of the extreme Red Supergiant WOH G64 to a Yellow Hypergiant
G. Munoz-Sanchez, M. Kalitsounaki, S. de Wit, K. Antoniadis, A. Z. Bonanos, E. Zapartas, K. Boutsia, E. Christodoulou, G. Maravelias, I. Soszynski, A. Udalski · 2024
- A Simple Introduction to the SiMPL Method for Density-Based Topology Optimization
Dohyun Kim, Boyan Stefanov Lazarov, Thomas M. Surowiec, Brendan Keith · 2024
- Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
Tian Yu, Shaolei Zhang, Yang Feng · 2024
- Real-time Anomaly Detection at the L1 Trigger of CMS Experiment
Abhijith Gandrakota · 2024
- Amplifying human performance in combinatorial competitive programming
Petar Veličković, Alex Vitvitskyi, Larisa Markeeva, Borja Ibarz, Lars Buesing, Matej Balog, Alexander Novikov · 2024
- Optimality of Gerver's Sofa
Jineon Baek · 2024
- Conducting High Frequency Radio SETI using ALMA
Louisa A Mason, Michael A Garrett, Kelvin Wandia, Andrew P V Siemion · 2024
- Reverse Thinking Makes LLMs Stronger Reasoners
Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister · 2024
- DeMo: Decoupled Momentum Optimization
Bowen Peng, Lizhang Chen, Baiyu Su, Jeffrey Quesnelle, Diederik P. Kingma, Qiang Liu · 2024
- GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting
Zixuan Chen, Guangcong Wang, Jiahao Zhu, Jianhuang Lai, Xiaohua Xie · 2024
- The Hexagonal Tiling Honeycomb
John C. Baez · 2024
- Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics
Nima Sedaghat, Tanawan Chatchadanoraset, Colin Orion Chandler, Ashish Mahabal, Maryam Eslami · 2024
- OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation
Hui Li, Mingwang Xu, Yun Zhan, Shan Mu, Jiaye Li, Kaihui Cheng, Yuxuan Chen, Tan Chen, Mao Ye, Jingdong Wang, Siyu Zhu · 2024
- Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects
Fred Heiding, Simon Lermen, Andrew Kao, Bruce Schneier, Arun Vishwanath · 2024
- Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation
Mohammad Sadeq Abolhasani, Rong Pan · 2024
- VR-Doh: Hands-on 3D Modeling in Virtual Reality
Zhaofeng Luo, Zhitong Cui, Shijian Luo, Mengyu Chu, Minchen Li · 2024
- AI Meets Antimatter: Unveiling Antihydrogen Annihilations
Ashley Ferreira, Mahip Singh, Andrea Capra, Ina Carli, Daniel Duque Quiceno, Wojciech T. Fedorko, Makoto M. Fujiwara, Muyan Li, Lars Martin, Yukiya Saito, Gareth Smith, Anqi Xu · 2024
- Instruction Scheduling in the Saturn Vector Unit
Jerry Zhao, Daniel Grubb, Miles Rusch, Tianrui Wei, Kevin Anderson, Borivoje Nikolic, Krste Asanovic · 2024
- RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments
Yuxing Chen, Songlin Wei, Bowen Xiao, Jiangran Lyu, Jiayi Chen, Feng Zhu, He Wang · 2024
- R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do · 2024
- "Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets
Filipo Sharevski, Jennifer Vander Loop, Sarah Ferguson · 2024
- An implementation of neural simulation-based inference for parameter estimation in ATLAS
ATLAS Collaboration · 2024
- Down with the Hierarchy: The 'H' in HNSW Stands for "Hubs"
Blaise Munyampirwa, Vihan Lakshman, Benjamin Coleman · 2024
- Improving feature interactions at Pinterest under industry constraints
Siddarth Malreddy, Matthew Lawhon, Usha Amrutha Nookala, Aditya Mantha, Dhruvil Deven Badani · 2024
- Regulated chiral gauge theory and the strong CP problem
David B. Kaplan, Srimoyee Sen · 2024
- NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou, Yi-Zhe Song · 2024
- Strong Friendship Paradox in Social Networks
Kristina Lerman · 2024
- Characterizing Information Shared by Participants to Coding Challenges: The Case of Advent of Code
Francesco Cauteruccio, Enrico Corradini, Luca Virgili · 2024
- The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciucă, Miles Cranmer, Aaron Do, Matthew Grayling, Erin E. Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik G. Iyer, Maja Jablonska, Francois Lanusse, Henry W. Leung, Kaisey Mandel, Juan Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam H. Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu · 2024
- The Broader Landscape of Robustness in Algorithmic Statistics
Gautam Kamath · 2024
- Shaping AI's Impact on Billions of Lives
Mariano-Florentino Cuéllar, Jeff Dean, Finale Doshi-Velez, John Hennessy, Andy Konwinski, Sanmi Koyejo, Pelonomi Moiloa, Emma Pierson, David Patterson · 2024
- Massimult: A Novel Parallel CPU Architecture Based on Combinator Reduction
Jurgen Nicklisch-Franken, Ruslan Feizerakhmanov · 2024