HackerPapers

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28734 retained paper pages. Page 166 of 288.

  1. Hyperbolic Image-Text Representations

    Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Ramakrishna Vedantam · 2023

  2. Saturn's Interior After the Cassini Grand Finale

    J. J. Fortney, B. Militzer, C. R. Mankovich, R. Helled, S. M. Wahl, N. Nettelmann, W. B. Hubbard, D. J. Stevenson, L. Iess, M. S. Marley, N. Movshovitz · 2023

  3. Provably-Efficient and Internally-Deterministic Parallel Union-Find

    Alexander Fedorov, Diba Hashemi, Giorgi Nadiradze, Dan Alistarh · 2023

  4. The Unintended Consequences of Censoring Digital Technology -- Evidence from Italy's ChatGPT Ban

    David H. Kreitmeir, Paul A. Raschky · 2023

  5. To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review

    Ravid Shwartz-Ziv, Yann LeCun · 2023

  6. Massive Data-Centric Parallelism in the Chiplet Era

    Marcelo Orenes-Vera, Esin Tureci, David Wentzlaff, Margaret Martonosi · 2023

  7. Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

    Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré · 2023

  8. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

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

  9. A Survey of Developable Surfaces: From Shape Modeling to Manufacturing

    Chao Yuan, Nan Cao, Yang Shi · 2023

  10. How Secure is Code Generated by ChatGPT?

    Raphaël Khoury, Anderson R. Avila, Jacob Brunelle, Baba Mamadou Camara · 2023

  11. Evaluating Verifiability in Generative Search Engines

    Nelson F. Liu, Tianyi Zhang, Percy Liang · 2023

  12. A Theory on Adam Instability in Large-Scale Machine Learning

    Igor Molybog, Peter Albert, Moya Chen, Zachary DeVito, David Esiobu, Naman Goyal, Punit Singh Koura, Sharan Narang, Andrew Poulton, Ruan Silva, Binh Tang, Diana Liskovich, Puxin Xu, Yuchen Zhang, Melanie Kambadur, Stephen Roller, Susan Zhang · 2023

  13. Einstein rings modulated by wavelike dark matter from anomalies in gravitationally lensed images

    Alfred Amruth, Tom Broadhurst, Jeremy Lim, Masamune Oguri, George F. Smoot, Jose M. Diego, Enoch Leung, Razieh Emami, Juno Li, Tzihong Chiueh, Hsi-Yu Schive, Michael C. H. Yeung, Sung Kei Li · 2023

  14. Constraints on physical computers in holographic spacetimes

    Aleksander M. Kubicki, Alex May, David Pérez-Garcia · 2023

  15. The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning

    Sara Major, Aleksandar Tomašević · 2023

  16. A Latent Space Theory for Emergent Abilities in Large Language Models

    Hui Jiang · 2023

  17. SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery

    Lalithkumar Seenivasan, Mobarakol Islam, Gokul Kannan, Hongliang Ren · 2023

  18. Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

    Mathilde Papillon, Sophia Sanborn, Mustafa Hajij, Nina Miolane · 2023

  19. Finding Bug-Inducing Program Environments

    Zahra Mirzamomen, Marcel Böhme · 2023

  20. The Enmity Paradox

    Amir Ghasemian, Nicholas A. Christakis · 2023

  21. Is ChatGPT a Good Recommender? A Preliminary Study

    Junling Liu, Chao Liu, Peilin Zhou, Renjie Lv, Kang Zhou, Yan Zhang · 2023

  22. Activity delay patterns in project networks

    Alexei Vazquez, Chrysostomos Marasinou, Georgios Kalogridis, Christos Ellinas · 2023

  23. Test-driving RISC-V Vector hardware for HPC

    Joseph K. L. Lee, Maurice Jamieson, Nick Brown, Ricardo Jesus · 2023

  24. Backporting RISC-V Vector assembly

    Joseph K. L. Lee, Maurice Jamieson, Nick Brown · 2023

  25. Fully Autonomous Programming with Large Language Models

    Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen · 2023

  26. GPT-NER: Named Entity Recognition via Large Language Models

    Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang · 2023

  27. Learning to Plan with Natural Language

    Yiduo Guo, Yaobo Liang, Chenfei Wu, Wenshan Wu, Dongyan Zhao, Nan Duan · 2023

  28. Exploring the visualisation of hierarchical cybersecurity data within the Metaverse

    Terence Eden · 2023

  29. Using Z3 for Formal Modeling and Verification of FNN Global Robustness

    Yihao Zhang, Zeming Wei, Xiyue Zhang, Meng Sun · 2023

  30. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

    Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny · 2023

  31. Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT

    Burak Yetiştiren, Işık Özsoy, Miray Ayerdem, Eray Tüzün · 2023

  32. CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models

    Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim · 2023

  33. Can GPT-4 Perform Neural Architecture Search?

    Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, Samuel Albanie · 2023

  34. Learned Monotone Minimal Perfect Hashing

    Paolo Ferragina, Hans-Peter Lehmann, Peter Sanders, Giorgio Vinciguerra · 2023

  35. Scaling Transformer to 1M tokens and beyond with RMT

    Aydar Bulatov, Yuri Kuratov, Yermek Kapushev, Mikhail S. Burtsev · 2023

  36. Fundamental Limitations of Alignment in Large Language Models

    Yotam Wolf, Noam Wies, Oshri Avnery, Yoav Levine, Amnon Shashua · 2023

  37. Inducing anxiety in large language models can induce bias

    Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz · 2023

  38. Phase transition in Random Circuit Sampling

    A. Morvan, B. Villalonga, X. Mi, S. Mandrà, A. Bengtsson, P. V. Klimov, Z. Chen, S. Hong, C. Erickson, I. K. Drozdov, J. Chau, G. Laun, R. Movassagh, A. Asfaw, L. T. A. N. Brandão, R. Peralta, D. Abanin, R. Acharya, R. Allen, T. I. Andersen, K. Anderson, M. Ansmann, F. Arute, K. Arya, J. Atalaya, J. C. Bardin, A. Bilmes, G. Bortoli, A. Bourassa, J. Bovaird, L. Brill, M. Broughton, B. B. Buckley, D. A. Buell, T. Burger, B. Burkett, N. Bushnell, J. Campero, H. S. Chang, B. Chiaro, D. Chik, C. Chou, J. Cogan, R. Collins, P. Conner, W. Courtney, A. L. Crook, B. Curtin, D. M. Debroy, A. Del Toro Barba, S. Demura, A. Di Paolo, A. Dunsworth, L. Faoro, E. Farhi, R. Fatemi, V. S. Ferreira, L. Flores Burgos, E. Forati, A. G. Fowler, B. Foxen, G. Garcia, E. Genois, W. Giang, C. Gidney, D. Gilboa, M. Giustina, R. Gosula, A. Grajales Dau, J. A. Gross, S. Habegger, M. C. Hamilton, M. Hansen, M. P. Harrigan, S. D. Harrington, P. Heu, M. R. Hoffmann, T. Huang, A. Huff, W. J. Huggins, L. B. Ioffe, S. V. Isakov, J. Iveland, E. Jeffrey, Z. Jiang, C. Jones, P. Juhas, D. Kafri, T. Khattar, M. Khezri, M. Kieferová, S. Kim, A. Kitaev, A. R. Klots, A. N. Korotkov, F. Kostritsa, J. M. Kreikebaum, D. Landhuis, P. Laptev, K. -M. Lau, L. Laws, J. Lee, K. W. Lee, Y. D. Lensky, B. J. Lester, A. T. Lill, W. Liu, W. P. Livingston, A. Locharla, F. D. Malone, O. Martin, S. Martin, J. R. McClean, M. McEwen, K. C. Miao, A. Mieszala, S. Montazeri, W. Mruczkiewicz, O. Naaman, M. Neeley, C. Neill, A. Nersisyan, M. Newman, J. H. Ng, A. Nguyen, M. Nguyen, M. Yuezhen Niu, T. E. O'Brien, S. Omonije, A. Opremcak, A. Petukhov, R. Potter, L. P. Pryadko, C. Quintana, D. M. Rhodes, E. Rosenberg, C. Rocque, P. Roushan, N. C. Rubin, N. Saei, D. Sank, K. Sankaragomathi, K. J. Satzinger, H. F. Schurkus, C. Schuster, M. J. Shearn, A. Shorter, N. Shutty, V. Shvarts, V. Sivak, J. Skruzny, W. C. Smith, R. D. Somma, G. Sterling, D. Strain, M. Szalay, D. Thor, A. Torres, G. Vidal, C. Vollgraff Heidweiller, T. White, B. W. K. Woo, C. Xing, Z. J. Yao, P. Yeh, J. Yoo, G. Young, A. Zalcman, Y. Zhang, N. Zhu, N. Zobrist, E. G. Rieffel, R. Biswas, R. Babbush, D. Bacon, J. Hilton, E. Lucero, H. Neven, A. Megrant, J. Kelly, I. Aleiner, V. Smelyanskiy, K. Kechedzhi, Y. Chen, S. Boixo · 2023

  39. What is missing in autonomous discovery: Open challenges for the community

    Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion A. Cohen, Tantum Collins, Rebecca L. Davis, Ian T. Foster, Navid Haghmoradi, Mark Hereld, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi, Shijing Sun · 2023

  40. Emergent and Predictable Memorization in Large Language Models

    Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff · 2023

  41. Fifteen years of millimeter accuracy lunar laser ranging with APOLLO: data reduction and calibration

    Nicholas R. Colmenares, James B. R. Battat, Daniel P. Gonzales, Thomas W. Murphy, Sanchit Sabhlok · 2023

  42. Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations

    Yu-Hui Chen, Raman Sarokin, Juhyun Lee, Jiuqiang Tang, Chuo-Ling Chang, Andrei Kulik, Matthias Grundmann · 2023

  43. PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

    Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li · 2023

  44. LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

    Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone · 2023

  45. Boosting Theory-of-Mind Performance in Large Language Models via Prompting

    Shima Rahimi Moghaddam, Christopher J. Honey · 2023

  46. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

    Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, Shikun Zhang · 2023

  47. Strategy flexibility in university mathematics

    Peter Hästö, Jon R. Star · 2023

  48. Can ChatGPT be used to generate scientific hypotheses?

    Yang Jeong Park, Daniel Kaplan, Zhichu Ren, Chia-Wei Hsu, Changhao Li, Haowei Xu, Sipei Li, Ju Li · 2023

  49. A Cookbook of Self-Supervised Learning

    Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Gregoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum · 2023

  50. A Cheat Sheet for Bayesian Prediction

    Bertrand Clarke, Yuling Yao · 2023

  51. WizardLM: Empowering large pre-trained language models to follow complex instructions

    Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang · 2023

  52. Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study

    Tim van Dam, Maliheh Izadi, Arie van Deursen · 2023

  53. Semantic Tokenizer for Enhanced Natural Language Processing

    Sandeep Mehta, Darpan Shah, Ravindra Kulkarni, Cornelia Caragea · 2023

  54. Information Theory for Complex Systems Scientists

    Thomas F. Varley · 2023

  55. Semantic Compression With Large Language Models

    Henry Gilbert, Michael Sandborn, Douglas C. Schmidt, Jesse Spencer-Smith, Jules White · 2023

  56. Solving 2-MAXSAT in Polynomial Time: a Proof of $\textit{P}$ = $\textit{NP}$

    Yangjun Chen · 2023

  57. ChatGPT believes it is conscious

    Arend Hintze · 2023

  58. AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

    Rongjie Huang, Mingze Li, Dongchao Yang, Jiatong Shi, Xuankai Chang, Zhenhui Ye, Yuning Wu, Zhiqing Hong, Jiawei Huang, Jinglin Liu, Yi Ren, Zhou Zhao, Shinji Watanabe · 2023

  59. SmartChoices: Augmenting Software with Learned Implementations

    Daniel Golovin, Gabor Bartok, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng · 2023

  60. AI-assisted coding: Experiments with GPT-4

    Russell A Poldrack, Thomas Lu, Gašper Beguš · 2023

  61. SCM: Enhancing Large Language Model with Self-Controlled Memory Framework

    Bing Wang, Xinnian Liang, Jian Yang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, Zhoujun Li · 2023

  62. Rational Function Simplification for Integration-by-Parts Reduction and Beyond

    Kirill Mokrov, Alexander Smirnov, Mao Zeng · 2023

  63. Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

    Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess · 2023

  64. Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

    Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn · 2023

  65. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

    Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu · 2023

  66. The Internal State of an LLM Knows When It's Lying

    Amos Azaria, Tom Mitchell · 2023

  67. No Tension: JWST Galaxies at $z > 10$ Consistent with Cosmological Simulations

    Joe McCaffrey, Samantha Hardin, John Wise, John Regan · 2023

  68. Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models

    Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili · 2023

  69. Boosting Big Brother: Attacking Search Engines with Encodings

    Nicholas Boucher, Luca Pajola, Ilia Shumailov, Ross Anderson, Mauro Conti · 2023

  70. TorchBench: Benchmarking PyTorch with High API Surface Coverage

    Yueming Hao, Xu Zhao, Bin Bao, David Berard, Will Constable, Adnan Aziz, Xu Liu · 2023

  71. AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays

    Steffen Herbold, Annette Hautli-Janisz, Ute Heuer, Zlata Kikteva, Alexander Trautsch · 2023

  72. ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT

    Solomon Ubani, Suleyman Olcay Polat, Rodney Nielsen · 2023

  73. We're Afraid Language Models Aren't Modeling Ambiguity

    Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi · 2023

  74. IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers

    Ronghuan Wu, Wanchao Su, Kede Ma, Jing Liao · 2023

  75. LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

    Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji · 2023

  76. Putting People in Their Place: Affordance-Aware Human Insertion into Scenes

    Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh · 2023

  77. PMC-LLaMA: Towards Building Open-source Language Models for Medicine

    Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie · 2023

  78. Generating images of rare concepts using pre-trained diffusion models

    Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik · 2023

  79. A logical word embedding for learning grammar

    Sean Deyo, Veit Elser · 2023

  80. faulTPM: Exposing AMD fTPMs' Deepest Secrets

    Hans Niklas Jacob, Christian Werling, Robert Buhren, Jean-Pierre Seifert · 2023

  81. Dissecting Recall of Factual Associations in Auto-Regressive Language Models

    Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson · 2023

  82. Caught in the Game: On the History and Evolution of Web Browser Gaming

    Naif Mehanna, Walter Rudametkin · 2023

  83. Concept-centric Software Development

    Peter Wilczynski, Taylor Gregoire-Wright, Daniel Jackson · 2023

  84. MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks

    Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang · 2023

  85. Majorana transformation of the Thomas-Fermi equation demystified

    Abdaljalel Alizzi, Zurab K. Silagadze · 2023

  86. Are Emergent Abilities of Large Language Models a Mirage?

    Rylan Schaeffer, Brando Miranda, Sanmi Koyejo · 2023

  87. LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

    Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao · 2023

  88. Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

    Emre Kıcıman, Robert Ness, Amit Sharma, Chenhao Tan · 2023

  89. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4

    Kent K. Chang, Mackenzie Cramer, Sandeep Soni, David Bamman · 2023

  90. Tomographic Alcock-Paczynski Test with Redshift-Space Correlation Function: Evidence for the Dark Energy Equation of State Parameter w>-1

    Fuyu Dong, Changbom Park, Sungwook E. Hong, Juhan Kim, Ho Seong Hwang, Hyunbae Park, Stephen Appleby · 2023

  91. How to enumerate trees from a context-free grammar

    Steven T. Piantadosi · 2023

  92. Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives

    Lesley Frew, Michael L. Nelson, Michele C. Weigle · 2023

  93. The Art of the Fugue: Minimizing Interleaving in Collaborative Text Editing

    Matthew Weidner, Martin Kleppmann · 2023

  94. MAMBO-V: Dynamic Side-Channel Leakage Analysis on RISC-V

    Jan Wichelmann, Christopher Peredy, Florian Sieck, Anna Pätschke, Thomas Eisenbarth · 2023

  95. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

    Michael Hanna, Ollie Liu, Alexandre Variengien · 2023

  96. DNS Privacy with Speed? Evaluating DNS over QUIC and its Impact on Web Performance

    Mike Kosek, Luca Schumann, Robin Marx, Trinh Viet Doan, Vaibhav Bajpai · 2023

  97. Neurosymbolic AI -- Why, What, and How

    Amit Sheth, Kaushik Roy, Manas Gaur · 2023

  98. Learning to Reason and Memorize with Self-Notes

    Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar · 2023

  99. Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation

    Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang · 2023

  100. Poisoning Language Models During Instruction Tuning

    Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein · 2023