All paper pages
28734 retained paper pages. Page 185 of 288.
- Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
Vukasin Bozic, Danilo Dordevic, Daniele Coppola, Joseph Thommes, Sidak Pal Singh · 2023
- Deep Neuromorphic Networks with Superconducting Single Flux Quanta
Gleb Krylov, Alexander J. Edwards, Joseph S. Friedman, Eby G. Friedman · 2023
- Large Language Models in Finance: A Survey
Yinheng Li, Shaofei Wang, Han Ding, Hang Chen · 2023
- How Contentious Terms About People and Cultures are Used in Linked Open Data
Andrei Nesterov, Laura Hollink, Jacco van Ossenbruggen · 2023
- Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction
Qi Liu, Xuyang Hou, Haoran Jin, Xiaolong Chen, Jin Chen, Defu Lian, Zhe Wang, Jia Cheng, Jun Lei · 2023
- Exponentially Faster Language Modelling
Peter Belcak, Roger Wattenhofer · 2023
- ToolTalk: Evaluating Tool-Usage in a Conversational Setting
Nicholas Farn, Richard Shin · 2023
- A Language Agent for Autonomous Driving
Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang · 2023
- Temporal chirp, temporal lensing and temporal routing via space-time interfaces
Victor Pacheco-Peña, Mathias Fink, Nader Engheta · 2023
- On Functional Activations in Deep Neural Networks
Andrew S. Nencka, L. Tugan Muftuler, Peter LaViolette, Kevin M. Koch · 2023
- Dazed & Confused: A Large-Scale Real-World User Study of reCAPTCHAv2
Andrew Searles, Renascence Tarafder Prapty, Gene Tsudik · 2023
- Formation-flying interferometry in geocentric orbits
Takahiro Ito · 2023
- Orca 2: Teaching Small Language Models How to Reason
Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andres Codas, Clarisse Simoes, Sahaj Agarwal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah · 2023
- GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
Xinhai Li, Huaibin Wang, Kuo-Kun Tseng · 2023
- Machine Culture
Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon, Maxime Derex, Thomas F. Müller, Anne-Marie Nussberger, Agnieszka Czaplicka, Alberto Acerbi, Thomas L. Griffiths, Joseph Henrich, Joel Z. Leibo, Richard McElreath, Pierre-Yves Oudeyer, Jonathan Stray, Iyad Rahwan · 2023
- Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia · 2023
- Portable, Efficient, and Practical Library-Level Choreographic Programming
Shun Kashiwa, Gan Shen, Soroush Zare, Lindsey Kuper · 2023
- Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
P Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad · 2023
- Control in Hybrid Chatbots
Thomas Rüdel, Jochen L. Leidner · 2023
- Universal Optimality of Dijkstra via Beyond-Worst-Case Heaps
Bernhard Haeupler, Richard Hladík, Václav Rozhoň, Robert E. Tarjan, Jakub Tětek · 2023
- System 2 Attention (is something you might need too)
Jason Weston, Sainbayar Sukhbaatar · 2023
- Evil Geniuses: Delving into the Safety of LLM-based Agents
Yu Tian, Xiao Yang, Jingyuan Zhang, Yinpeng Dong, Hang Su · 2023
- Continual Learning: Applications and the Road Forward
Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven · 2023
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman · 2023
- 3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing
Haoran Li, Long Ma, Haolin Shi, Yanbin Hao, Yong Liao, Lechao Cheng, Pengyuan Zhou · 2023
- PBWR: Parametric Building Wireframe Reconstruction from Aerial LiDAR Point Clouds
Shangfeng Huang, Ruisheng Wang, Bo Guo, Hongxin Yang · 2023
- Few-Shot Classification & Segmentation Using Large Language Models Agent
Tian Meng, Yang Tao, Wuliang Yin · 2023
- Teaching Robots to Build Simulations of Themselves
Yuhang Hu, Jiong Lin, Hod Lipson · 2023
- User-Like Bots for Cognitive Automation: A Survey
Habtom Kahsay Gidey, Peter Hillmann, Andreas Karcher, Alois Knoll · 2023
- cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia
Haihao Lu, Jinwen Yang · 2023
- Fast Inner-Product Algorithms and Architectures for Deep Neural Network Accelerators
Trevor E. Pogue, Nicola Nicolici · 2023
- Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin · 2023
- A Survey of Graph Meets Large Language Model: Progress and Future Directions
Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu · 2023
- How Far Have We Gone in Vulnerability Detection Using Large Language Models
Zeyu Gao, Hao Wang, Yuchen Zhou, Wenyu Zhu, Chao Zhang · 2023
- Quantum Information Theory -- Lecture Notes
Christoph Dittel · 2023
- Is mathematics like a game?
Klaas Landsman, Kirti Singh · 2023
- Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain
Hugo Schnoering, Michalis Vazirgiannis · 2023
- Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework
Florian Felten, El-Ghazali Talbi, Grégoire Danoy · 2023
- Machine-Guided Discovery of a Real-World Rogue Wave Model
Dion Häfner, Johannes Gemmrich, Markus Jochum · 2023
- "There Has To Be a Lot That We're Missing": Moderating AI-Generated Content on Reddit
Travis Lloyd, Joseph Reagle, Mor Naaman · 2023
- Prompting Frameworks for Large Language Models: A Survey
Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang · 2023
- A versatile circuit for emulating active biological dendrites applied to sound localisation and neuron imitation
Daniel John Mannion · 2023
- Diffusion Model Alignment Using Direct Preference Optimization
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik · 2023
- GAIA: a benchmark for General AI Assistants
Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, Thomas Scialom · 2023
- White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma · 2023
- Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
Zihao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu · 2023
- ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani · 2023
- Steal My Artworks for Fine-tuning? A Watermarking Framework for Detecting Art Theft Mimicry in Text-to-Image Models
Ge Luo, Junqiang Huang, Manman Zhang, Zhenxing Qian, Sheng Li, Xinpeng Zhang · 2023
- Towards a measurement theory in QFT: "Impossible" quantum measurements are possible but not ideal
Nicolas Gisin, Flavio Del Santo · 2023
- Efficient Transformer Knowledge Distillation: A Performance Review
Nathan Brown, Ashton Williamson, Tahj Anderson, Logan Lawrence · 2023
- Compact 3D Gaussian Representation for Radiance Field
Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park · 2023
- Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin · 2023
- Surpassing GPT-4 Medical Coding with a Two-Stage Approach
Zhichao Yang, Sanjit Singh Batra, Joel Stremmel, Eran Halperin · 2023
- Understanding the Vulnerability of CLIP to Image Compression
Cangxiong Chen, Vinay P. Namboodiri, Julian Padget · 2023
- Possibilities for methanogenic and acetogenic life in molecular cloud
Lei Feng · 2023
- Universal Jailbreak Backdoors from Poisoned Human Feedback
Javier Rando, Florian Tramèr · 2023
- Controlled Text Generation via Language Model Arithmetic
Jasper Dekoninck, Marc Fischer, Luca Beurer-Kellner, Martin Vechev · 2023
- MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors
Vasudev Gohil, Rahul Kande, Chen Chen, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran · 2023
- Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix C. Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Sadique Sheik, Jason K. Eshraghian · 2023
- Calibrated Language Models Must Hallucinate
Adam Tauman Kalai, Santosh S. Vempala · 2023
- Positional Description Matters for Transformers Arithmetic
Ruoqi Shen, Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Yuanzhi Li, Yi Zhang · 2023
- SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen · 2023
- Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder
Yicheng Gu, Xueyao Zhang, Liumeng Xue, Zhizheng Wu · 2023
- GAIA: Zero-shot Talking Avatar Generation
Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian · 2023
- Causal Models for Longitudinal and Panel Data: A Survey
Dmitry Arkhangelsky, Guido Imbens · 2023
- Experimental Analysis of Large-scale Learnable Vector Storage Compression
Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui · 2023
- YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
Shaohua Wu, Xudong Zhao, Shenling Wang, Jiangang Luo, Lingjun Li, Xi Chen, Bing Zhao, Wei Wang, Tong Yu, Rongguo Zhang, Jiahua Zhang, Chao Wang · 2023
- GeoChat: Grounded Large Vision-Language Model for Remote Sensing
Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, Fahad Shahbaz Khan · 2023
- IPv6 Bitcoin-Certified Addresses
Mathieu Ducroux · 2023
- End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding
Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Joongyo Lee, Jin Sung Kim, Yong Bae Kim, Jong Chul Ye · 2023
- Microarchitectural Security of AWS Firecracker VMM for Serverless Cloud Platforms
Zane Weissman, Thore Tiemann, Thomas Eisenbarth, Berk Sunar · 2023
- MadRadar: A Black-Box Physical Layer Attack Framework on mmWave Automotive FMCW Radars
David Hunt, Kristen Angell, Zhenzhou Qi, Tingjun Chen, Miroslav Pajic · 2023
- MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Zeming Chen, Alejandro Hernández Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut · 2023
- Visual cognition in multimodal large language models
Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz · 2023
- On Bringing Robots Home
Nur Muhammad Mahi Shafiullah, Anant Rai, Haritheja Etukuru, Yiqian Liu, Ishan Misra, Soumith Chintala, Lerrel Pinto · 2023
- Co-learning synaptic delays, weights and adaptation in spiking neural networks
Lucas Deckers, Laurens Van Damme, Ing Jyh Tsang, Werner Van Leekwijck, Steven Latré · 2023
- AI and Democracy's Digital Identity Crisis
Shrey Jain, Connor Spelliscy, Samuel Vance-Law, Scott Moore · 2023
- Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition
Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan Boyd-Graber · 2023
- SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation
Bingchen Gong, Yuehao Wang, Xiaoguang Han, Qi Dou · 2023
- Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks
Shuo Chen, Boxiao Liu, Zeshi Liu, Haihang You · 2023
- Complex Quantum Networks: a Topical Review
Johannes Nokkala, Jyrki Piilo, Ginestra Bianconi · 2023
- FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing · 2023
- Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay Kulkarni, Jogendra Nath Kundu, R Venkatesh Babu · 2023
- Understanding the Process of Data Labeling in Cybersecurity
Tobias Braun, Irdin Pekaric, Giovanni Apruzzese · 2023
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz · 2023
- Inspo: Writing with Crowds Alongside AI
Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks, Ya-Fang Lin, Tiffany Knearem, Ting-Hao 'Kenneth' Huang · 2023
- MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
Yang Zhao, Yanwu Xu, Zhisheng Xiao, Haolin Jia, Tingbo Hou · 2023
- A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
Prodromos Kolyvakis, Aristidis Likas · 2023
- Finnish 5th and 6th graders' misconceptions about Artificial Intelligence
Pekka Mertala, Janne Fagerlund · 2023
- Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras
Huajian Huang, Longwei Li, Hui Cheng, Sai-Kit Yeung · 2023
- Generation of Games for Opponent Model Differentiation
David Milec, Viliam Lisý, Christopher Kiekintveld · 2023
- Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Martin Briesch, Dominik Sobania, Franz Rothlauf · 2023
- Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Alexandra Sasha Luccioni, Yacine Jernite, Emma Strubell · 2023
- ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty · 2023
- Scalable Extraction of Training Data from (Production) Language Models
Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Eric Wallace, Florian Tramèr, Katherine Lee · 2023
- Tight bounds for antidistinguishability and circulant sets of pure quantum states
Nathaniel Johnston, Vincent Russo, Jamie Sikora · 2023
- MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel · 2023
- Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, D. A. Forsyth, Anand Bhattad · 2023
- War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang · 2023
- SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner · 2023