HackerPapers

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28734 retained paper pages. Page 180 of 288.

  1. Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?

    Johannes Frey, Lars-Peter Meyer, Natanael Arndt, Felix Brei, Kirill Bulert · 2023

  2. HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field

    Xiaochen Zhao, Lizhen Wang, Jingxiang Sun, Hongwen Zhang, Jinli Suo, Yebin Liu · 2023

  3. GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data

    Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt · 2023

  4. Training and inference of large language models using 8-bit floating point

    Sergio P. Perez, Yan Zhang, James Briggs, Charlie Blake, Josh Levy-Kramer, Paul Balanca, Carlo Luschi, Stephen Barlow, Andrew William Fitzgibbon · 2023

  5. Time-space dynamics of income segregation: a case study of Milan's neighbourhoods

    Lavinia Rossi Mori, Vittorio Loreto, Riccardo Di Clemente · 2023

  6. Polyglot Jet Finding

    Graeme Andrew Stewart, Philippe Gras, Benedikt Hegner, Atell Krasnopolski · 2023

  7. Machine Learning for Practical Quantum Error Mitigation

    Haoran Liao, Derek S. Wang, Iskandar Sitdikov, Ciro Salcedo, Alireza Seif, Zlatko K. Minev · 2023

  8. Directly Fine-Tuning Diffusion Models on Differentiable Rewards

    Kevin Clark, Paul Vicol, Kevin Swersky, David J Fleet · 2023

  9. Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks

    Vaidehi Patil, Peter Hase, Mohit Bansal · 2023

  10. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

    Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, Lijuan Wang · 2023

  11. Efficient Streaming Language Models with Attention Sinks

    Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis · 2023

  12. PB-LLM: Partially Binarized Large Language Models

    Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong · 2023

  13. Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks

    Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Chegini, Wenxiao Wang, Soheil Feizi · 2023

  14. Motif: Intrinsic Motivation from Artificial Intelligence Feedback

    Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff · 2023

  15. NASU -- Novel Actuating Screw Unit: Origami-inspired Screw-based Propulsion on Mobile Ground Robots

    Calvin Joyce, Jason Lim, Roger Nguyen, Michael Owens, Sara Wickenhiser, Elizabeth Peiros, Florian Richter, Michael C. Yip · 2023

  16. Improving Planning with Large Language Models: A Modular Agentic Architecture

    Taylor Webb, Shanka Subhra Mondal, Ida Momennejad · 2023

  17. AdaptNet: Policy Adaptation for Physics-Based Character Control

    Pei Xu, Kaixiang Xie, Sheldon Andrews, Paul G. Kry, Michael Neff, Morgan McGuire, Ioannis Karamouzas, Victor Zordan · 2023

  18. The Beauty of Roots

    John C. Baez · 2023

  19. PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

    Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li · 2023

  20. How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?

    Sicong Pan, Liren Jin, Hao Hu, Marija Popović, Maren Bennewitz · 2023

  21. GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models

    Emilio Ferrara · 2023

  22. BooookScore: A systematic exploration of book-length summarization in the era of LLMs

    Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer · 2023

  23. Recent Advances in Generative AI for Healthcare Applications

    Yasin Shokrollahi, Jose Colmenarez, Wenxi Liu, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong, Xianqi Li, Linxia Gu · 2023

  24. Enabling Language Models to Implicitly Learn Self-Improvement

    Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji · 2023

  25. Space-Efficient and Noise-Robust Quantum Factoring

    Seyoon Ragavan, Vinod Vaikuntanathan · 2023

  26. Case Study: Securing MMU-less Linux Using CHERI

    Hesham Almatary, Alfredo Mazzinghi, Robert N. M. Watson · 2023

  27. Decoding the Manhattan Project's Network: Unveiling Science, Collaboration, and Human Legacy

    Milan Janosov · 2023

  28. Emergent reprogrammable mechanical memory in soft rods network via friction tuning

    Harsh Jain, Shankar Ghosh · 2023

  29. Jupiter Mass Binary Objects in the Trapezium Cluster

    Samuel G Pearson, Mark J McCaughrean · 2023

  30. Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy

    Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen · 2023

  31. Compressing LLMs: The Truth is Rarely Pure and Never Simple

    Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang · 2023

  32. Representation Engineering: A Top-Down Approach to AI Transparency

    Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks · 2023

  33. GPT-Driver: Learning to Drive with GPT

    Jiageng Mao, Yuxi Qian, Junjie Ye, Hang Zhao, Yue Wang · 2023

  34. Borges and AI

    Léon Bottou, Bernhard Schölkopf · 2023

  35. Gravity generated by four one-dimensional unitary gauge symmetries and the Standard Model

    Mikko Partanen, Jukka Tulkki · 2023

  36. Awkward Just-In-Time (JIT) Compilation: A Developer's Experience

    Ianna Osborne, Jim Pivarski, Ioana Ifrim, Angus Hollands, Henry Schreiner · 2023

  37. Towards Automatic Design of Factorio Blueprints

    Sean Patterson, Joan Espasa, Mun See Chang, Ruth Hoffmann · 2023

  38. A Pretty Expressive Printer (with Appendices)

    Sorawee Porncharoenwase, Justin Pombrio, Emina Torlak · 2023

  39. PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels

    Praneeth Kacham, Vahab Mirrokni, Peilin Zhong · 2023

  40. One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition

    Samuele Cornell, Jee-weon Jung, Shinji Watanabe, Stefano Squartini · 2023

  41. Large Language Models as Analogical Reasoners

    Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou · 2023

  42. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

    Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen · 2023

  43. Can large language models provide useful feedback on research papers? A large-scale empirical analysis

    Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Smith, Yian Yin, Daniel McFarland, James Zou · 2023

  44. LILAC: Log Parsing using LLMs with Adaptive Parsing Cache

    Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu · 2023

  45. Large Language Models Cannot Self-Correct Reasoning Yet

    Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou · 2023

  46. MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields

    Takuhiro Kaneko · 2023

  47. Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?

    Jingyuan Sun, Marie-Francine Moens · 2023

  48. Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang

    Nick Brown, Maurice Jamieson, Anton Lydike, Emilien Bauer, Tobias Grosser · 2023

  49. Ring Attention with Blockwise Transformers for Near-Infinite Context

    Hao Liu, Matei Zaharia, Pieter Abbeel · 2023

  50. L2MAC: Large Language Model Automatic Computer for Extensive Code Generation

    Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar · 2023

  51. Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study

    Yujia Fu, Peng Liang, Amjed Tahir, Zengyang Li, Mojtaba Shahin, Jiaxin Yu, Jinfu Chen · 2023

  52. Sneaked references: Cooked reference metadata inflate citation counts

    Lonni Besançon, Guillaume Cabanac, Cyril Labbé, Alexander Magazinov · 2023

  53. Language Models Represent Space and Time

    Wes Gurnee, Max Tegmark · 2023

  54. Think before you speak: Training Language Models With Pause Tokens

    Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan · 2023

  55. Who's Harry Potter? Approximate Unlearning in LLMs

    Ronen Eldan, Mark Russinovich · 2023

  56. MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens

    Kaizhi Zheng, Xuehai He, Xin Eric Wang · 2023

  57. Learning quantum Hamiltonians at any temperature in polynomial time

    Ainesh Bakshi, Allen Liu, Ankur Moitra, Ewin Tang · 2023

  58. Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

    Eric Zelikman, Eliana Lorch, Lester Mackey, Adam Tauman Kalai · 2023

  59. A method to assess trustworthiness of machine coding at scale

    Rebeckah K. Fussell, Emily M. Stump, N. G. Holmes · 2023

  60. Runtime Verification for Trustworthy Computing

    Robert Abela, Christian Colombo, Axel Curmi, Mattea Fenech, Mark Vella, Angelo Ferrando · 2023

  61. Can 5G NR Sidelink communications support wireless augmented reality?

    Ashutosh Srivastava, Qing Zhao, Yi Lu, Ping Wang, Qi Qu, Zhu Ji, Yee Sin Chan, Shivendra S. Panwar · 2023

  62. Subrelativistic Alternating Phase Focusing Dielectric Laser Accelerators

    Payton Broaddus, Thilo Egenolf, Dylan S. Black, Melanie Murillo, Clarisse Woodahl, Yu Miao, Uwe Niedermayer, Robert L. Byer, Kenneth J. Leedle, Olav Solgaard · 2023

  63. EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields

    Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta · 2023

  64. Low-Resource Languages Jailbreak GPT-4

    Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach · 2023

  65. Generalization in diffusion models arises from geometry-adaptive harmonic representations

    Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat · 2023

  66. Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators

    Seyed Mo Mirvakili, Ehsan Haghighat, Douglas Sim · 2023

  67. Extending Isabelle/HOL's Code Generator with support for the Go programming language

    Terru Stübinger, Lars Hupel · 2023

  68. Assessing Large Language Models on Climate Information

    Jannis Bulian, Mike S. Schäfer, Afra Amini, Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Hübscher, Christian Buck, Niels G. Mede, Markus Leippold, Nadine Strauß · 2023

  69. What if Quantum Gravity is "just'' Quantum Information Theory?

    Aron C. Wall · 2023

  70. xVal: A Continuous Numerical Tokenization for Scientific Language Models

    Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles Cranmer, Geraud Krawezik, Francois Lanusse, Michael McCabe, Ruben Ohana, Liam Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho · 2023

  71. Kosmos-G: Generating Images in Context with Multimodal Large Language Models

    Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei · 2023

  72. No Forking Way: Detecting Cloning Attacks on Intel SGX Applications

    Samira Briongos, Ghassan Karame, Claudio Soriente, Annika Wilde · 2023

  73. From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

    Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally · 2023

  74. Retrieval meets Long Context Large Language Models

    Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro · 2023

  75. EcoAssistant: Using LLM Assistant More Affordably and Accurately

    Jieyu Zhang, Ranjay Krishna, Ahmed H. Awadallah, Chi Wang · 2023

  76. Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

    Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao · 2023

  77. Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

    Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle, Wanli Xing · 2023

  78. ResolverFuzz: Automated Discovery of DNS Resolver Vulnerabilities with Query-Response Fuzzing

    Qifan Zhang, Xuesong Bai, Xiang Li, Haixin Duan, Qi Li, Zhou Li · 2023

  79. Toward One-Second Latency: Evolution of Live Media Streaming

    Abdelhak Bentaleb, May Lim, Mehmet N. Akcay, Ali C. Begen, Sarra Hammoudi, Roger Zimmermann · 2023

  80. UniPredict: Large Language Models are Universal Tabular Classifiers

    Ruiyu Wang, Zifeng Wang, Jimeng Sun · 2023

  81. Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses

    Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini · 2023

  82. Motivating Next-Generation OS Physical Memory Management for Terabyte-Scale NVMMs

    Shivank Garg, Aravinda Prasad, Debadatta Mishra, Sreenivas Subramoney · 2023

  83. Personalized Transformer-based Ranking for e-Commerce at Yandex

    Kirill Khrylchenko, Alexander Fritzler · 2023

  84. SimLOD: Simultaneous LOD Generation and Rendering

    Markus Schütz, Lukas Herzberger, Michael Wimmer · 2023

  85. TimeGPT-1

    Azul Garza, Cristian Challu, Max Mergenthaler-Canseco · 2023

  86. PeaTMOSS: Mining Pre-Trained Models in Open-Source Software

    Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis · 2023

  87. Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness?

    Md. Masudur Rahman, Toukir Ahammed, Kazi Sakib · 2023

  88. SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

    Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas · 2023

  89. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

    Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson · 2023

  90. Agent Instructs Large Language Models to be General Zero-Shot Reasoners

    Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang · 2023

  91. DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

    Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts · 2023

  92. Logical Languages Accepted by Transformer Encoders with Hard Attention

    Pablo Barcelo, Alexander Kozachinskiy, Anthony Widjaja Lin, Vladimir Podolskii · 2023

  93. In the Blink of an Eye: Event-based Emotion Recognition

    Haiwei Zhang, Jiqing Zhang, Bo Dong, Pieter Peers, Wenwei Wu, Xiaopeng Wei, Felix Heide, Xin Yang · 2023

  94. DEFT: A new distance-based feature set for keystroke dynamics

    Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore, Arathi Arakala · 2023

  95. Fair coins tend to land on the same side they started: Evidence from 350,757 flips

    František Bartoš, Alexandra Sarafoglou, Henrik R. Godmann, Amir Sahrani, David Klein Leunk, Pierre Y. Gui, David Voss, Kaleem Ullah, Malte J. Zoubek, Franziska Nippold, Frederik Aust, Felipe F. Vieira, Chris-Gabriel Islam, Anton J. Zoubek, Sara Shabani, Jonas Petter, Ingeborg B. Roos, Adam Finnemann, Aaron B. Lob, Madlen F. Hoffstadt, Jason Nak, Jill de Ron, Koen Derks, Karoline Huth, Sjoerd Terpstra, Thomas Bastelica, Magda Matetovici, Vincent L. Ott, Andreea S. Zetea, Katharina Karnbach, Michelle C. Donzallaz, Arne John, Roy M. Moore, Franziska Assion, Riet van Bork, Theresa E. Leidinger, Xiaochang Zhao, Adrian Karami Motaghi, Ting Pan, Hannah Armstrong, Tianqi Peng, Mara Bialas, Joyce Y. -C. Pang, Bohan Fu, Shujun Yang, Xiaoyi Lin, Dana Sleiffer, Miklos Bognar, Balazs Aczel, Eric-Jan Wagenmakers · 2023

  96. Reviving Meltdown 3a

    Daniel Weber, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz · 2023

  97. WaZI: A Learned and Workload-aware Z-Index

    Sachith Pai, Michael Mathioudakis, Yanhao Wang · 2023

  98. From task structures to world models: What do LLMs know?

    Ilker Yildirim, L. A. Paul · 2023

  99. An In-Context Learning Agent for Formal Theorem-Proving

    Amitayush Thakur, George Tsoukalas, Yeming Wen, Jimmy Xin, Swarat Chaudhuri · 2023

  100. A Core Calculus for Documents

    Will Crichton, Shriram Krishnamurthi · 2023