HackerPapers

All paper pages

28734 retained paper pages. Page 181 of 288.

  1. Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

    Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao · 2023

  2. Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

    Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang · 2023

  3. Why Do We Need Weight Decay in Modern Deep Learning?

    Francesco D'Angelo, Maksym Andriushchenko, Aditya Varre, Nicolas Flammarion · 2023

  4. Can neural networks count digit frequency?

    Padmaksh Khandelwal · 2023

  5. What's the Magic Word? A Control Theory of LLM Prompting

    Aman Bhargava, Cameron Witkowski, Shi-Zhuo Looi, Matt Thomson · 2023

  6. Demystifying Embedding Spaces using Large Language Models

    Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier · 2023

  7. A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning

    Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura Freeman, Jeremy Werner · 2023

  8. ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models

    Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar · 2023

  9. Shufflecake: Plausible Deniability for Multiple Hidden Filesystems on Linux

    Elia Anzuoni, Tommaso Gagliardoni · 2023

  10. Eight Transaction Papers by Jim Gray

    Philip A. Bernstein · 2023

  11. Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories

    Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan, Jiuhong Xiao, Giuseppe Loianno · 2023

  12. TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

    Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu · 2023

  13. Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

    Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu · 2023

  14. Scaling Laws of RoPE-based Extrapolation

    Xiaoran Liu, Hang Yan, Shuo Zhang, Chenxin An, Xipeng Qiu, Dahua Lin · 2023

  15. A Maclaurin type inequality

    Terence Tao · 2023

  16. XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners

    Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang · 2023

  17. Larth: Dataset and Machine Translation for Etruscan

    Gianluca Vico, Gerasimos Spanakis · 2023

  18. HyperAttention: Long-context Attention in Near-Linear Time

    Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David P. Woodruff, Amir Zandieh · 2023

  19. Grokking as Compression: A Nonlinear Complexity Perspective

    Ziming Liu, Ziqian Zhong, Max Tegmark · 2023

  20. The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric

    Daniel Severo, Lucas Theis, Johannes Ballé · 2023

  21. Measuring reasoning capabilities of ChatGPT

    Adrian Groza · 2023

  22. Divide-and-Conquer Dynamics in AI-Driven Disempowerment

    Peter S. Park, Max Tegmark · 2023

  23. Theory and modeling of molecular modes in the NMR relaxation of fluids

    Thiago J. Pinheiro dos Santos, Betul Orcan-Ekmekci, Walter G. Chapman, Philip M. Singer, Dilipkumar N. Asthagiri · 2023

  24. Learning Interactive Real-World Simulators

    Sherry Yang, Yilun Du, Kamyar Ghasemipour, Jonathan Tompson, Leslie Kaelbling, Dale Schuurmans, Pieter Abbeel · 2023

  25. OptiMUS: Optimization Modeling Using MIP Solvers and large language models

    Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell · 2023

  26. Understanding the Effects of RLHF on LLM Generalisation and Diversity

    Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu · 2023

  27. Multilingual Jailbreak Challenges in Large Language Models

    Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing · 2023

  28. Refining Decompiled C Code with Large Language Models

    Wai Kin Wong, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu · 2023

  29. Automated clinical coding using off-the-shelf large language models

    Joseph S. Boyle, Antanas Kascenas, Pat Lok, Maria Liakata, Alison Q. O'Neil · 2023

  30. iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

    Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long · 2023

  31. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

    Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan · 2023

  32. OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

    Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, Jimmy Ba · 2023

  33. Text Embeddings Reveal (Almost) As Much As Text

    John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush · 2023

  34. The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

    Samuel Marks, Max Tegmark · 2023

  35. Mistral 7B

    Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed · 2023

  36. Sparse Fine-tuning for Inference Acceleration of Large Language Models

    Eldar Kurtic, Denis Kuznedelev, Elias Frantar, Michael Goin, Dan Alistarh · 2023

  37. Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models

    Courtland Leer, Vincent Trost, Vineeth Voruganti · 2023

  38. QualiGPT: GPT as an easy-to-use tool for qualitative coding

    He Zhang, Chuhao Wu, Jingyi Xie, ChanMin Kim, John M. Carroll · 2023

  39. Large Language Models can Learn Rules

    Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai · 2023

  40. Sparse Universal Transformer

    Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron Courville, Chuang Gan · 2023

  41. LLark: A Multimodal Instruction-Following Language Model for Music

    Josh Gardner, Simon Durand, Daniel Stoller, Rachel M. Bittner · 2023

  42. Beyond Memorization: Violating Privacy Via Inference with Large Language Models

    Robin Staab, Mark Vero, Mislav Balunović, Martin Vechev · 2023

  43. Code Polymorphism Meets Code Encryption: Confidentiality and Side-Channel Protection of Software Components

    Lionel Morel, Damien Couroussé, Thomas Hiscock · 2023

  44. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

    Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang · 2023

  45. Differentiable Euler Characteristic Transforms for Shape Classification

    Ernst Roell, Bastian Rieck · 2023

  46. Ferret: Refer and Ground Anything Anywhere at Any Granularity

    Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang · 2023

  47. MatFormer: Nested Transformer for Elastic Inference

    Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham Kakade, Ali Farhadi, Prateek Jain · 2023

  48. Social Approval and Network Homophily as Motivators of Online Toxicity

    Julie Jiang, Luca Luceri, Joseph B. Walther, Emilio Ferrara · 2023

  49. Large Language Models Are Zero-Shot Time Series Forecasters

    Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson · 2023

  50. Optimal Linear Decay Learning Rate Schedules and Further Refinements

    Aaron Defazio, Ashok Cutkosky, Harsh Mehta, Konstantin Mishchenko · 2023

  51. Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

    Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ming Yin · 2023

  52. TabLib: A Dataset of 627M Tables with Context

    Gus Eggert, Kevin Huo, Mike Biven, Justin Waugh · 2023

  53. Sorting it out in Hardware: A State-of-the-Art Survey

    Amir Hossein Jalilvand, Faeze S. Banitaba, Seyedeh Newsha Estiri, Sercan Aygun, M. Hassan Najafi · 2023

  54. The Expressive Power of Transformers with Chain of Thought

    William Merrill, Ashish Sabharwal · 2023

  55. Large Language Models for Scientific Synthesis, Inference and Explanation

    Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan · 2023

  56. Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

    Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Hena Ghonia, Rishika Bhagwatkar, Arian Khorasani, Mohammad Javad Darvishi Bayazi, George Adamopoulos, Roland Riachi, Nadhir Hassen, Marin Biloš, Sahil Garg, Anderson Schneider, Nicolas Chapados, Alexandre Drouin, Valentina Zantedeschi, Yuriy Nevmyvaka, Irina Rish · 2023

  57. Fine-Tuning LLaMA for Multi-Stage Text Retrieval

    Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin · 2023

  58. Defending Our Privacy With Backdoors

    Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting · 2023

  59. Chrono: A Peer-to-Peer Network with Verifiable Causality

    Michael Hu Yiqing, Guangda Sun, Arun Fu, Akasha Zhu, Jialin Li · 2023

  60. How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

    Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter L. Bartlett · 2023

  61. A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing

    Carlos Gómez-Rodríguez, Paul Williams · 2023

  62. Teaching Resources for Embedding Ethics in Mathematics: Exercises, Projects, and Handouts

    Maurice Chiodo, Dennis Müller, Rehan Shah · 2023

  63. Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language

    Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray · 2023

  64. MemGPT: Towards LLMs as Operating Systems

    Charles Packer, Sarah Wooders, Kevin Lin, Vivian Fang, Shishir G. Patil, Ion Stoica, Joseph E. Gonzalez · 2023

  65. Circular Average Filtering and Circular Linear Interpolation in Complex Color Spaces

    Ergun Akleman, Shubham Agarwall, Donald H. House, Tolga Talha Yildiz · 2023

  66. LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

    Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao · 2023

  67. Counting and Algorithmic Generalization with Transformers

    Simon Ouellette, Rolf Pfister, Hansueli Jud · 2023

  68. The Data Lakehouse: Data Warehousing and More

    Dipankar Mazumdar, Jason Hughes, JB Onofre · 2023

  69. Tokenizer Choice For LLM Training: Negligible or Crucial?

    Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr · 2023

  70. Adaptivity and Modularity for Efficient Generalization Over Task Complexity

    Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Angel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh Susskind, Samy Bengio · 2023

  71. Gesture Recognition for FMCW Radar on the Edge

    Maximilian Strobel, Stephan Schoenfeldt, Jonas Daugalas · 2023

  72. Image Cropping under Design Constraints

    Takumi Nishiyasu, Wataru Shimoda, Yoichi Sato · 2023

  73. Embarrassingly Simple Text Watermarks

    Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada · 2023

  74. The academic Great Gatsby Curve

    Ye Sun, Fabio Caccioli, Xiancheng Li, Giacomo Livan · 2023

  75. Improving Large Language Models in Event Relation Logical Prediction

    Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li · 2023

  76. PaLI-3 Vision Language Models: Smaller, Faster, Stronger

    Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut · 2023

  77. Multinational AGI Consortium (MAGIC): A Proposal for International Coordination on AI

    Jason Hausenloy, Andrea Miotti, Claire Dennis · 2023

  78. A Multifaceted Look at Starlink Performance

    Nitinder Mohan, Andrew Ferguson, Hendrik Cech, Prakita Rayyan Renatin, Rohan Bose, Mahesh Marina, Jörg Ott · 2023

  79. Quantum computing: principles and applications

    Guanru Feng, Dawei Lu, Jun Li, Tao Xin, Bei Zeng · 2023

  80. QUIC is not Quick Enough over Fast Internet

    Xumiao Zhang, Shuowei Jin, Yi He, Ahmad Hassan, Z. Morley Mao, Feng Qian, Zhi-Li Zhang · 2023

  81. UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

    Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann · 2023

  82. When can transformers reason with abstract symbols?

    Enric Boix-Adsera, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Joshua Susskind · 2023

  83. Exploitation Business: Leveraging Information Asymmetry

    Kwangseob Ahn · 2023

  84. Microscaling Data Formats for Deep Learning

    Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Stosic Dusan, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verrilli, Ralph Wittig, Doug Burger, Eric Chung · 2023

  85. TacticAI: an AI assistant for football tactics

    Zhe Wang, Petar Veličković, Daniel Hennes, Nenad Tomašev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls · 2023

  86. Llemma: An Open Language Model For Mathematics

    Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck · 2023

  87. A Survey on Video Diffusion Models

    Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang · 2023

  88. A decoder-only foundation model for time-series forecasting

    Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou · 2023

  89. Theory of Mind for Multi-Agent Collaboration via Large Language Models

    Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Michael Lewis, Katia Sycara · 2023

  90. Mechanism Design for Large Language Models

    Paul Duetting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo · 2023

  91. Exactly solvable statistical physics models for large neuronal populations

    Christopher W. Lynn, Qiwei Yu, Rich Pang, William Bialek, Stephanie E. Palmer · 2023

  92. Origami-inspired Bi-directional Actuator with Orthogonal Actuation

    Shuai Liu, Sheeraz Athar, Michael Yu Wang · 2023

  93. VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System

    Abdul Waheed, Bashar Talafha, Peter Sullivan, AbdelRahim Elmadany, Muhammad Abdul-Mageed · 2023

  94. Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion

    Xueyao Zhang, Zihao Fang, Yicheng Gu, Haopeng Chen, Lexiao Zou, Junan Zhang, Liumeng Xue, Zhizheng Wu · 2023

  95. Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

    Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin · 2023

  96. Zipformer: A faster and better encoder for automatic speech recognition

    Zengwei Yao, Liyong Guo, Xiaoyu Yang, Wei Kang, Fangjun Kuang, Yifan Yang, Zengrui Jin, Long Lin, Daniel Povey · 2023

  97. Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

    Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr · 2023

  98. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

    Jianwei Yang, Hao Zhang, Feng Li, Xueyan Zou, Chunyuan Li, Jianfeng Gao · 2023

  99. BitNet: Scaling 1-bit Transformers for Large Language Models

    Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei · 2023

  100. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

    Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi · 2023