HackerPapers

All paper pages

28734 retained paper pages. Page 183 of 288.

  1. Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates

    Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou · 2023

  2. HyperFields: Towards Zero-Shot Generation of NeRFs from Text

    Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka · 2023

  3. Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

    Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan · 2023

  4. Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

    Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen · 2023

  5. Demystifying Compiler Unstable Feature Usage and Impacts in the Rust Ecosystem

    Chenghao Li, Yifei Wu, Wenbo Shen, Zichen Zhao, Rui Chang, Chengwei Liu, Yang Liu, Kui Ren · 2023

  6. The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability

    Luca Ambrogioni · 2023

  7. CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents

    Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie · 2023

  8. Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models

    Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora · 2023

  9. Gravitational lensing for interstellar power transmission

    Slava G. Turyshev · 2023

  10. CodeFusion: A Pre-trained Diffusion Model for Code Generation

    Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen · 2023

  11. Managing extreme AI risks amid rapid progress

    Yoshua Bengio, Geoffrey Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Trevor Darrell, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atılım Güneş Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca Dragan, Philip Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann · 2023

  12. A Spectral Condition for Feature Learning

    Greg Yang, James B. Simon, Jeremy Bernstein · 2023

  13. Large language models for aspect-based sentiment analysis

    Paul F. Simmering, Paavo Huoviala · 2023

  14. Reality3DSketch: Rapid 3D Modeling of Objects from Single Freehand Sketches

    Tianrun Chen, Chaotao Ding, Lanyun Zhu, Ying Zang, Yiyi Liao, Zejian Li, Lingyun Sun · 2023

  15. Functional Ownership through Fractional Uniqueness

    Danielle Marshall, Dominic Orchard · 2023

  16. Personas as a Way to Model Truthfulness in Language Models

    Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He · 2023

  17. Approaches to Conflict-free Replicated Data Types

    Paulo Sérgio Almeida · 2023

  18. Will releasing the weights of future large language models grant widespread access to pandemic agents?

    Anjali Gopal, Nathan Helm-Burger, Lennart Justen, Emily H. Soice, Tiffany Tzeng, Geetha Jeyapragasan, Simon Grimm, Benjamin Mueller, Kevin M. Esvelt · 2023

  19. Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks

    Jonayet Miah, Duc M Cao, Md Abu Sayed, Md. Sabbirul Haque · 2023

  20. Sustainable Concrete via Bayesian Optimization

    Sebastian Ament, Andrew Witte, Nishant Garg, Julius Kusuma · 2023

  21. FP8-LM: Training FP8 Large Language Models

    Houwen Peng, Kan Wu, Yixuan Wei, Guoshuai Zhao, Yuxiang Yang, Ze Liu, Yifan Xiong, Ziyue Yang, Bolin Ni, Jingcheng Hu, Ruihang Li, Miaosen Zhang, Chen Li, Jia Ning, Ruizhe Wang, Zheng Zhang, Shuguang Liu, Joe Chau, Han Hu, Peng Cheng · 2023

  22. OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond

    Ben Goertzel, Vitaly Bogdanov, Michael Duncan, Deborah Duong, Zarathustra Goertzel, Jan Horlings, Matthew Ikle', Lucius Greg Meredith, Alexey Potapov, Andre' Luiz de Senna, Hedra Seid Andres Suarez, Adam Vandervorst, Robert Werko · 2023

  23. Meaning Representations from Trajectories in Autoregressive Models

    Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto · 2023

  24. Preventing Language Models From Hiding Their Reasoning

    Fabien Roger, Ryan Greenblatt · 2023

  25. A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

    Alicia Curth, Alan Jeffares, Mihaela van der Schaar · 2023

  26. Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

    Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci · 2023

  27. Open Problems in DAOs

    Joshua Tan, Tara Merk, Sarah Hubbard, Eliza R. Oak, Helena Rong, Joni Pirovich, Ellie Rennie, Rolf Hoefer, Michael Zargham, Jason Potts, Chris Berg, Reuben Youngblom, Primavera De Filippi, Seth Frey, Jeff Strnad, Morshed Mannan, Kelsie Nabben, Silke Noa Elrifai, Jake Hartnell, Benjamin Mako Hill, Tobin South, Ryan L. Thomas, Jonathan Dotan, Ariana Spring, Alexia Maddox, Woojin Lim, Kevin Owocki, Ari Juels, Dan Boneh · 2023

  28. High-Dimensional Statistics

    Philippe Rigollet, Jan-Christian Hütter · 2023

  29. Othello is Solved

    Hiroki Takizawa · 2023

  30. Combining Language Models For Specialized Domains: A Colorful Approach

    Daniel Eitan, Menachem Pirchi, Neta Glazer, Shai Meital, Gil Ayach, Gidon Krendel, Aviv Shamsian, Aviv Navon, Gil Hetz, Joseph Keshet · 2023

  31. Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks

    Qintong Li, Leyang Cui, Lingpeng Kong, Wei Bi · 2023

  32. LILO: Learning Interpretable Libraries by Compressing and Documenting Code

    Gabriel Grand, Lionel Wong, Maddy Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas · 2023

  33. Photomolecular Effect: Visible Light Interaction with Air-Water Interface

    Guangxin Lv, Yaodong Tu, James H. Zhang, Gang Chen · 2023

  34. 'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion

    Sourojit Ghosh, Aylin Caliskan · 2023

  35. Unveiling the Limits of Learned Local Search Heuristics: Are You the Mightiest of the Meek?

    Ankur Nath, Alan Kuhnle · 2023

  36. The Missing U for Efficient Diffusion Models

    Sergio Calvo-Ordonez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schonlieb, Angelica I Aviles-Rivero · 2023

  37. DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models

    Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong · 2023

  38. EELBERT: Tiny Models through Dynamic Embeddings

    Gabrielle Cohn, Rishika Agarwal, Deepanshu Gupta, Siddharth Patwardhan · 2023

  39. Does GPT-4 pass the Turing test?

    Cameron R. Jones, Benjamin K. Bergen · 2023

  40. Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

    Arnulf Jentzen, Benno Kuckuck, Philippe von Wurstemberger · 2023

  41. A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis

    Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lei Wang, Lingqiao Liu, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou · 2023

  42. Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

    Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon S. Du, Huazhe Xu · 2023

  43. LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

    Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish · 2023

  44. Defining a New NLP Playground

    Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi R. Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji · 2023

  45. TOI-5344 b: A Saturn-like planet orbiting a super-Solar metallicity M0 dwarf

    Te Han, Paul Robertson, Shubham Kanodia, Caleb Cañas, Andrea S. J. Lin, Guðmundur Stefánsson, Jessica E. Libby-Roberts, Alexander Larsen, Henry A. Kobulnicky, Suvrath Mahadevan, Chad F. Bender, William D. Cochran, Michael Endl, Mark E. Everett, Arvind F. Gupta, Samuel Halverson, Fred Hearty, Andrew Monson, Joe P. Ninan, Arpita Roy, Christian Schwab, Ryan C. Terrien · 2023

  46. Learning From Mistakes Makes LLM Better Reasoner

    Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen · 2023

  47. What's In My Big Data?

    Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge · 2023

  48. On the Kolmogorov neural networks

    Aysu Ismayilova, Vugar Ismailov · 2023

  49. The Generative AI Paradox: "What It Can Create, It May Not Understand"

    Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi · 2023

  50. Fractal Basins as a Mechanism for the Nimble Brain

    Erik Bollt, Jeremie Fish, Anil Kumar, Edmilson Roque dos Santos, Paul J. Laurienti · 2023

  51. Seeking Truth and Beauty in Flavor Physics with Machine Learning

    Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner · 2023

  52. BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B

    Pranav Gade, Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish · 2023

  53. ChipNeMo: Domain-Adapted LLMs for Chip Design

    Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Ankit Jindal, Brucek Khailany, George Kokai, Kishor Kunal, Xiaowei Li, Charley Lind, Hao Liu, Stuart Oberman, Sujeet Omar, Ghasem Pasandi, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P Suthar, Varun Tej, Walker Turner, Kaizhe Xu, Haoxing Ren · 2023

  54. An effective description of Laniakea: impact on cosmology and the local determination of the Hubble constant

    L. Giani, C. Howlett, K. Said, T. Davis, S. Vagnozzi · 2023

  55. Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development

    Jenna Butler, Thomas Zimmermann, Christian Bird · 2023

  56. BGP Typo: A Longitudinal Study and Remedies

    Liron David, Yuval Shavitt · 2023

  57. A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents

    Olivier Sigaud, Gianluca Baldassarre, Cedric Colas, Stephane Doncieux, Richard Duro, Pierre-Yves Oudeyer, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci · 2023

  58. Efficient LLM Inference on CPUs

    Haihao Shen, Hanwen Chang, Bo Dong, Yu Luo, Hengyu Meng · 2023

  59. Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial

    Sam Dillavou, Benjamin D Beyer, Menachem Stern, Andrea J Liu, Marc Z Miskin, Douglas J Durian · 2023

  60. Towards Collective Superintelligence, a Pilot Study

    Louis Rosenberg, Gregg Willcox, Hans Schumann · 2023

  61. Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?

    Yuwei Bao, Keunwoo Peter Yu, Yichi Zhang, Shane Storks, Itamar Bar-Yossef, Alexander De La Iglesia, Megan Su, Xiao Lin Zheng, Joyce Chai · 2023

  62. Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

    Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni · 2023

  63. SALLM: Security Assessment of Generated Code

    Mohammed Latif Siddiq, Joanna C. S. Santos, Sajith Devareddy, Anna Muller · 2023

  64. SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data

    Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi Abdelwahed, Hugo Larochelle, David Rolnick · 2023

  65. Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion

    Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun · 2023

  66. Exploring the Problems, their Causes and Solutions of AI Pair Programming: A Study on GitHub and Stack Overflow

    Xiyu Zhou, Peng Liang, Beiqi Zhang, Zengyang Li, Aakash Ahmad, Mojtaba Shahin, Muhammad Waseem · 2023

  67. LLM4Drive: A Survey of Large Language Models for Autonomous Driving

    Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan · 2023

  68. Exploring Deep Learning Techniques for Glaucoma Detection: A Comprehensive Review

    Aized Amin Soofi, Fazal-e-Amin · 2023

  69. Cosmological foundations revisited with Pantheon+

    Zachary G. Lane, Antonia Seifert, Ryan Ridden-Harper, David L. Wiltshire · 2023

  70. Implicit Chain of Thought Reasoning via Knowledge Distillation

    Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart Shieber · 2023

  71. Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers

    Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren · 2023

  72. PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion

    Yiduo Guo, Zekai Zhang, Yaobo Liang, Dongyan Zhao, Nan Duan · 2023

  73. The Evolution of Massive Binary Stars

    Pablo Marchant, Julia Bodensteiner · 2023

  74. Simplifying Transformer Blocks

    Bobby He, Thomas Hofmann · 2023

  75. GateLoop: Fully Data-Controlled Linear Recurrence for Sequence Modeling

    Tobias Katsch · 2023

  76. Artificial light at night: a global disruptor of the night-time environment

    Salvador Bará, Fabio Falchi · 2023

  77. Relax: Composable Abstractions for End-to-End Dynamic Machine Learning

    Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen · 2023

  78. Making Harmful Behaviors Unlearnable for Large Language Models

    Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang · 2023

  79. Optimizing Datalog for the GPU

    Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Kristopher Micinski, Sidharth Kumar · 2023

  80. Not all layers are equally as important: Every Layer Counts BERT

    Lucas Georges Gabriel Charpentier, David Samuel · 2023

  81. Levels of AGI for Operationalizing Progress on the Path to AGI

    Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farabet, Shane Legg · 2023

  82. Ephemeral Rollups are All you Need

    Gabriele Picco, Andrea Fortugno · 2023

  83. AnyText: Multilingual Visual Text Generation And Editing

    Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He, Yifeng Geng, Xuansong Xie · 2023

  84. Maximal Consistent Subsystems of Max-T Fuzzy Relational Equations

    Ismaïl Baaj · 2023

  85. CogVLM: Visual Expert for Pretrained Language Models

    Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang · 2023

  86. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

    Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li · 2023

  87. S-LoRA: Serving Thousands of Concurrent LoRA Adapters

    Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica · 2023

  88. Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

    Chenhang Cui, Yiyang Zhou, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, Huaxiu Yao · 2023

  89. Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

    Rusheb Shah, Quentin Feuillade--Montixi, Soroush Pour, Arush Tagade, Stephen Casper, Javier Rando · 2023

  90. Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs

    Samah Syed, Angel Deborah S · 2023

  91. Intelligent Stress Assessment for e-Coaching

    Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko · 2023

  92. Final parsec problem of black hole mergers and ultralight dark matter

    Hyeonmo Koo, Dongsu Bak, Inkyu Park, Sungwook E. Hong, Jae-Weon Lee · 2023

  93. Orion: A Fully Homomorphic Encryption Framework for Deep Learning

    Austin Ebel, Karthik Garimella, Brandon Reagen · 2023

  94. DAO Decentralization: Voting-Bloc Entropy, Bribery, and Dark DAOs

    James Austgen, Andrés Fábrega, Sarah Allen, Kushal Babel, Mahimna Kelkar, Ari Juels · 2023

  95. OpenBSD formal driver verification with SeL4

    Adriana Nicolae, Paul Irofti, Ioana Leustean · 2023

  96. Governance Capture in a Self-Governing Community: A Qualitative Comparison of the Serbo-Croatian Wikipedias

    Zarine Kharazian, Kate Starbird, Benjamin Mako Hill · 2023

  97. The Linear Representation Hypothesis and the Geometry of Large Language Models

    Kiho Park, Yo Joong Choe, Victor Veitch · 2023

  98. Practical Performance Guarantees for Pipelined DNN Inference

    Aaron Archer, Matthew Fahrbach, Kuikui Liu, Prakash Prabhu · 2023

  99. LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators

    Allen Roush, Emil Zakirov, Artemiy Shirokov, Polina Lunina, Jack Gane, Alexander Duffy, Charlie Basil, Aber Whitcomb, Jim Benedetto, Chris DeWolfe · 2023

  100. Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning

    Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu · 2023