All paper pages
28734 retained paper pages. Page 202 of 288.
- People cannot distinguish GPT-4 from a human in a Turing test
Cameron R. Jones, Benjamin K. Bergen · 2024
- Layout Generation Agents with Large Language Models
Yuichi Sasazawa, Yasuhiro Sogawa · 2024
- P=NP
Zikang Deng · 2024
- Fully extremal black holes: a black hole graveyard?
Francesco Di Filippo, Stefano Liberati, Matt Visser · 2024
- Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
Yifan Wang, Aleksander Holynski, Brian L. Curless, Steven M. Seitz · 2024
- SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models
Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J Han, Katrin Kirchhoff · 2024
- UnMarker: A Universal Attack on Defensive Image Watermarking
Andre Kassis, Urs Hengartner · 2024
- Thinking Tokens for Language Modeling
David Herel, Tomas Mikolov · 2024
- Full Line Code Completion: Bringing AI to Desktop
Anton Semenkin, Vitaliy Bibaev, Yaroslav Sokolov, Kirill Krylov, Alexey Kalina, Anna Khannanova, Danila Savenkov, Darya Rovdo, Igor Davidenko, Kirill Karnaukhov, Maxim Vakhrushev, Mikhail Kostyukov, Mikhail Podvitskii, Petr Surkov, Yaroslav Golubev, Nikita Povarov, Timofey Bryksin · 2024
- Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus · 2024
- eScope: A Fine-Grained Power Prediction Mechanism for Mobile Applications
Dipayan Mukherjee, Atul Sandur, Kirill Mechitov, Pratik Lahiri, Gul Agha · 2024
- Deceptive, Disruptive, No Big Deal: Japanese People React to Simulated Dark Commercial Patterns
Katie Seaborn, Tatsuya Itagaki, Mizuki Watanabe, Yijia Wang, Ping Geng, Takao Fujii, Yuto Mandai, Miu Kojima, Suzuka Yoshida · 2024
- Bird Eye-View to Street-View: A Survey
Khawlah Bajbaa, Muhammad Usman, Saeed Anwar, Ibrahim Radwan, Abdul Bais · 2024
- Impact of Design Decisions in Scanpath Modeling
Parvin Emami, Yue Jiang, Zixin Guo, Luis A. Leiva · 2024
- Contextual Emotion Recognition using Large Vision Language Models
Yasaman Etesam, Özge Nilay Yalçın, Chuxuan Zhang, Angelica Lim · 2024
- A first look into Utiq: Next-generation cookies at the ISP level
Ismael Castell-Uroz, Pere Barlet-Ros · 2024
- Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
Pitpimon Choorod, Tobias J. Bauer, Andreas Aßmuth · 2024
- JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning
Ildar Rakhmatulin · 2024
- LoRA Learns Less and Forgets Less
Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham · 2024
- Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates
Enze Liu, George Kappos, Eric Mugnier, Luca Invernizzi, Stefan Savage, David Tao, Kurt Thomas, Geoffrey M. Voelker, Sarah Meiklejohn · 2024
- Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon Team · 2024
- Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
Arwin Gansekoele, Tycho Bot, Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn · 2024
- MarkLLM: An Open-Source Toolkit for LLM Watermarking
Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu · 2024
- Spurious reconstruction from brain activity
Ken Shirakawa, Yoshihiro Nagano, Misato Tanaka, Shuntaro C. Aoki, Kei Majima, Yusuke Muraki, Yukiyasu Kamitani · 2024
- When Large Language Model Meets Optimization
Sen Huang, Kaixiang Yang, Sheng Qi, Rui Wang · 2024
- A Mess of Memory System Benchmarking, Simulation and Application Profiling
Pouya Esmaili-Dokht, Francesco Sgherzi, Valeria Soldera Girelli, Isaac Boixaderas, Mariana Carmin, Alireza Monemi, Adria Armejach, Estanislao Mercadal, German Llort, Petar Radojkovic, Miquel Moreto, Judit Gimenez, Xavier Martorell, Eduard Ayguade, Jesus Labarta, Emanuele Confalonieri, Rishabh Dubey, Jason Adlard · 2024
- Comprehensive Causal Machine Learning
Michael Lechner, Jana Mareckova · 2024
- GDPR: Is it worth it? Perceptions of workers who have experienced its implementation
Gerard Buckley, Tristan Caulfield, Ingolf Becker · 2024
- Influencer Cartels
Marit Hinnosaar, Toomas Hinnosaar · 2024
- How Far Are We From AGI: Are LLMs All We Need?
Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You · 2024
- Grothendieck's use of equality
Kevin Buzzard · 2024
- Adaptable and Reliable Text Classification using Large Language Models
Zhiqiang Wang, Yiran Pang, Yanbin Lin, Xingquan Zhu · 2024
- You Can't Solve These Super Mario Bros. Levels: Undecidable Mario Games
MIT Hardness Group, Erik D. Demaine, Lilly Hall, Hayashi Layers, Ricardo Ruiz, Naveen Venkat · 2024
- Layer-Condensed KV Cache for Efficient Inference of Large Language Models
Haoyi Wu, Kewei Tu · 2024
- Renormalization group and elliptic homogenization in high contrast
Scott Armstrong, Tuomo Kuusi · 2024
- The Relational Machine Calculus
Chris Barrett, Daniel Castle, Willem Heijltjes · 2024
- Generative AI for Test Driven Development: Preliminary Results
Moritz Mock, Jorge Melegati, Barbara Russo · 2024
- ZX-calculus is Complete for Finite-Dimensional Hilbert Spaces
Boldizsár Poór, Razin A. Shaikh, Quanlong Wang · 2024
- Observational Scaling Laws and the Predictability of Language Model Performance
Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto · 2024
- Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery
Kyle Gao, Dening Lu, Hongjie He, Linlin Xu, Jonathan Li · 2024
- The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
Guy Aridor, Duarte Goncalves, Ruoyan Kong, Daniel Kluver, Joseph Konstan · 2024
- Look, There's More to Say about Conway's Look and Say Sequence
Greg Dresden, Jacob Siehler · 2024
- Artificial Greenhouse Gases as Exoplanet Technosignatures
Edward W. Schwieterman, Thomas J. Fauchez, Jacob Haqq-Misra, Ravi K. Kopparapu, Daniel Angerhausen, Daria Pidhorodetska, Michaela Leung, Evan L. Sneed, Elsa Ducrot · 2024
- The Cost of Garbage Collection for State Machine Replication
Zhiying Liang, Vahab Jabrayilov, Aleksey Charapko, Abutalib Aghayev · 2024
- MultiPaxos Made Complete
Zhiying Liang, Vahab Jabrayilov, Aleksey Charapko, Abutalib Aghayev · 2024
- The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving
Pai Zeng, Zhenyu Ning, Jieru Zhao, Weihao Cui, Mengwei Xu, Liwei Guo, Xusheng Chen, Yizhou Shan · 2024
- Track Anything Rapter(TAR)
Tharun V. Puthanveettil, Fnu Obaid ur Rahman · 2024
- ColorFoil: Investigating Color Blindness in Large Vision and Language Models
Ahnaf Mozib Samin, M. Firoz Ahmed, Md. Mushtaq Shahriyar Rafee · 2024
- Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!
Dean Allemang, Juan Sequeda · 2024
- Semantic Trajectory Data Mining with LLM-Informed POI Classification
Yifan Liu, Chenchen Kuai, Haoxuan Ma, Xishun Liao, Brian Yueshuai He, Jiaqi Ma · 2024
- Can we improve the energy efficiency of EUV lithography?
Tsumoru Shintake · 2024
- Demo Paper: A Game Agents Battle Driven by Free-Form Text Commands Using Code-Generation LLM
Ray Ito, Junichiro Takahashi · 2024
- ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
Chen Huang, Yiping Jin, Ilija Ilievski, Wenqiang Lei, Jiancheng Lv · 2024
- The Brightness of Starlink Mini Satellites During Orbit-Raising
Anthony Mallama, Richard E. Cole, Jay Respler, Scott Harrington, Ron Lee, Aaron Worley · 2024
- DarkDNS: Revisiting the Value of Rapid Zone Update
Raffaele Sommese, Gautam Akiwate, Antonia Affinito, Moritz Müller, Mattijs Jonker, KC Claffy · 2024
- MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang · 2024
- A Nearly Quadratic Improvement for Memory Reallocation
Martin Farach-Colton, William Kuszmaul, Nathan Sheffield, Alek Westover · 2024
- Open-Source Assessments of AI Capabilities: The Proliferation of AI Analysis Tools, Replicating Competitor Models, and the Zhousidun Dataset
Ritwik Gupta, Leah Walker, Eli Glickman, Raine Koizumi, Sarthak Bhatnagar, Andrew W. Reddie · 2024
- Developers' Perceptions on the Impact of ChatGPT in Software Development: A Survey
Thiago S. Vaillant, Felipe Deveza de Almeida, Paulo Anselmo M. S. Neto, Cuiyun Gao, Jan Bosch, Eduardo Santana de Almeida · 2024
- Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy Lillicrap, Danilo Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora · 2024
- Your Transformer is Secretly Linear
Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan Oseledets, Denis Dimitrov, Andrey Kuznetsov · 2024
- Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
Yuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen · 2024
- Decomposing causality into its synergistic, unique, and redundant components
Álvaro Martínez-Sánchez, Gonzalo Arranz, Adrián Lozano-Durán · 2024
- Computational Fabrication and Assembly for In Situ Manufacturing
Martin Nisser · 2024
- RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
Jianyang Gao, Cheng Long · 2024
- Fully Randomized Pointers
Sai Dhawal Phaye, Gregory J. Duck, Roland H. C. Yap, Trevor E. Carlson · 2024
- Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?
Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia · 2024
- Getting Wiser from Multiple Data: Probabilistic Updating according to Jeffrey and Pearl
Bart Jacobs · 2024
- From Today's Code to Tomorrow's Symphony: The AI Transformation of Developer's Routine by 2030
Ketai Qiu, Niccolò Puccinelli, Matteo Ciniselli, Luca Di Grazia · 2024
- Ponzi Funds
Philippe van der Beck, Jean-Philippe Bouchaud, Dario Villamaina · 2024
- Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, XuanJing Huang · 2024
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung-Wen, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang · 2024
- Divergent Creativity in Humans and Large Language Models
Antoine Bellemare-Pepin, François Lespinasse, Philipp Thölke, Yann Harel, Kory Mathewson, Jay A. Olson, Yoshua Bengio, Karim Jerbi · 2024
- LLMs can learn self-restraint through iterative self-reflection
Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal · 2024
- Leveraging Human Revisions for Improving Text-to-Layout Models
Amber Xie, Chin-Yi Cheng, Forrest Huang, Yang Li · 2024
- A Foundation Model for the Earth System
Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Anna Vaughan, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Jayesh K. Gupta, Kit Thambiratnam, Alexander T. Archibald, Chun-Chieh Wu, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris · 2024
- Extreme Flaring of Starlink Satellites
Anthony Mallama, Richard E. Cole · 2024
- Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust
Patrick Diehl, Noujoud Nader, Steve Brandt, Hartmut Kaiser · 2024
- FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching
Jianming Tong, Anirudh Itagi, Prasanth Chatarasi, Tushar Krishna · 2024
- Building a Verifiable Logical Clock for P2P Networks
Guangda Sun, Tianyang Tao, Yanpei Guo, Michael Yiqing Hu, Jialin Li · 2024
- LucidRaster: GPU Software Rasterizer for Exact Order-Independent Transparency
Krzysztof Jakubowski · 2024
- Specular Polynomials
Zhimin Fan, Jie Guo, Yiming Wang, Tianyu Xiao, Hao Zhang, Chenxi Zhou, Zhenyu Chen, Pengpei Hong, Yanwen Guo, Ling-Qi Yan · 2024
- AI-Assisted Assessment of Coding Practices in Modern Code Review
Manushree Vijayvergiya, Małgorzata Salawa, Ivan Budiselić, Dan Zheng, Pascal Lamblin, Marko Ivanković, Juanjo Carin, Mateusz Lewko, Jovan Andonov, Goran Petrović, Daniel Tarlow, Petros Maniatis, René Just · 2024
- Total cost of ownership and evaluation of Google cloud resources for the ATLAS experiment at the LHC
The ATLAS Collaboration · 2024
- Thermodynamic Natural Gradient Descent
Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin Crooks, Patrick J. Coles · 2024
- Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models
Kentaro Hoffman, Stephen Salerno, Jeff Leek, Tyler McCormick · 2024
- Attention as an RNN
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori · 2024
- On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati · 2024
- Animal Behavior Analysis Methods Using Deep Learning: A Survey
Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini · 2024
- Super Tiny Language Models
Dylan Hillier, Leon Guertler, Cheston Tan, Palaash Agrawal, Chen Ruirui, Bobby Cheng · 2024
- DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Huajian Xin, Daya Guo, Zhihong Shao, Zhizhou Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang · 2024
- Evaluation of the Programming Skills of Large Language Models
Luc Bryan Heitz, Joun Chamas, Christopher Scherb · 2024
- YOLOv10: Real-Time End-to-End Object Detection
Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding · 2024
- LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber · 2024
- Representation Noising: A Defence Mechanism Against Harmful Finetuning
Domenic Rosati, Jan Wehner, Kai Williams, Łukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz · 2024
- Discretization of continuous input spaces in the hippocampal autoencoder
Adrian F. Amil, Ismael T. Freire, Paul F. M. J. Verschure · 2024
- A Declarative System for Optimizing AI Workloads
Chunwei Liu, Matthew Russo, Michael Cafarella, Lei Cao, Peter Baille Chen, Zui Chen, Michael Franklin, Tim Kraska, Samuel Madden, Gerardo Vitagliano · 2024
- SimPO: Simple Preference Optimization with a Reference-Free Reward
Yu Meng, Mengzhou Xia, Danqi Chen · 2024
- AnyLoss: Transforming Classification Metrics into Loss Functions
Doheon Han, Nuno Moniz, Nitesh V Chawla · 2024
- Lessons from the Trenches on Reproducible Evaluation of Language Models
Stella Biderman, Hailey Schoelkopf, Lintang Sutawika, Leo Gao, Jonathan Tow, Baber Abbasi, Alham Fikri Aji, Pawan Sasanka Ammanamanchi, Sidney Black, Jordan Clive, Anthony DiPofi, Julen Etxaniz, Benjamin Fattori, Jessica Zosa Forde, Charles Foster, Jeffrey Hsu, Mimansa Jaiswal, Wilson Y. Lee, Haonan Li, Charles Lovering, Niklas Muennighoff, Ellie Pavlick, Jason Phang, Aviya Skowron, Samson Tan, Xiangru Tang, Kevin A. Wang, Genta Indra Winata, François Yvon, Andy Zou · 2024