All paper pages
28734 retained paper pages. Page 168 of 288.
- Improving Small Language Models on PubMedQA via Generative Data Augmentation
Zhen Guo, Peiqi Wang, Yanwei Wang, Shangdi Yu · 2023
- Automatic Differentiation in Prolog
Tom Schrijvers, Birthe van den Berg, Fabrizio Riguzzi · 2023
- CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi · 2023
- ChargeX: Exploring State Switching Attack on Electric Vehicle Charging Systems
Ce Zhou, Qiben Yan, Zhiyuan Yu, Eshan Dixit, Ning Zhang, Huacheng Zeng, Alireza Safdari Ghanhdari · 2023
- City Street Layout Generation via Conditional Adversarial Learning
Lehao Yang, Cui Zhu, Tian Feng · 2023
- Construction of the Kolmogorov-Arnold representation using the Newton-Kaczmarz method
Michael Poluektov, Andrew Polar · 2023
- Large Language Model Guided Tree-of-Thought
Jieyi Long · 2023
- Symbol tuning improves in-context learning in language models
Jerry Wei, Le Hou, Andrew Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le · 2023
- Text Classification via Large Language Models
Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang · 2023
- DarkBERT: A Language Model for the Dark Side of the Internet
Youngjin Jin, Eugene Jang, Jian Cui, Jin-Woo Chung, Yongjae Lee, Seungwon Shin · 2023
- First Physics Results from the FASER Experiment
Brian Petersen · 2023
- Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability
Ziming Liu, Eric Gan, Max Tegmark · 2023
- An Introduction to String Diagrams for Computer Scientists
Robin Piedeleu, Fabio Zanasi · 2023
- Slow Down, Move Over: A Case Study in Formal Verification, Refinement, and Testing of the Responsibility-Sensitive Safety Model for Self-Driving Cars
Megan Strauss, Stefan Mitsch · 2023
- Small Models are Valuable Plug-ins for Large Language Models
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian McAuley · 2023
- Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang · 2023
- Close Encounters of the Interstellar Kind: Examining the Capture of Interstellar Objects in Near Earth Orbit
Diptajyoti Mukherjee, Amir Siraj, Hy Trac, Abraham Loeb · 2023
- One Forward is Enough for Neural Network Training via Likelihood Ratio Method
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng · 2023
- On Optimal Strategies for Wordle and General Guessing Games
Michael Cunanan, Michael Thielscher · 2023
- Case Study for Running Memory-Bound Kernels on RISC-V CPUs
Valentin Volokitin, Evgeny Kozinov, Valentina Kustikova, Alexey Liniov, Iosif Meyerov · 2023
- How to Organise Engaging Online Conferences and Escape the Zoom Rectangle
Jarosław Kowalski, Kinga Skorupska, Agata Kopacz, Bartosz Muczyński, Wiesław Kopeć, Zbigniew Bohdanowicz, Gabriela Górska, Cezary Biele · 2023
- AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen · 2023
- Generate Compilers from Hardware Models!
Gus Henry Smith, Ben Kushigian, Vishal Canumalla, Andrew Cheung, René Just, Zachary Tatlock · 2023
- Towards Expert-Level Medical Question Answering with Large Language Models
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Aguera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle Barral, Dale Webster, Greg S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan · 2023
- Poster: No safety in numbers: traffic analysis of sealed-sender groups in Signal
Eric Brigham, Nicholas Hopper · 2023
- Mirages: On Anthropomorphism in Dialogue Systems
Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar, Verena Rieser, Zeerak Talat · 2023
- Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
Evan King, Haoxiang Yu, Sangsu Lee, Christine Julien · 2023
- Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites
Hans W. A. Hanley, Zakir Durumeric · 2023
- Impact of ROS 2 Node Composition in Robotic Systems
Steve Macenski, Alberto Soragna, Michael Carroll, Zhenpeng Ge · 2023
- Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic · 2023
- Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie · 2023
- Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Alon Jacovi, Avi Caciularu, Omer Goldman, Yoav Goldberg · 2023
- Exploring the Space of Key-Value-Query Models with Intention
Marta Garnelo, Wojciech Marian Czarnecki · 2023
- Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability
Eleftheria Briakou, Colin Cherry, George Foster · 2023
- Unsolved Problems in Spectral Graph Theory
Lele Liu, Bo Ning · 2023
- NUANCE: Near Ultrasound Attack On Networked Communication Environments
Forrest McKee, David Noever · 2023
- PaLM 2 Technical Report
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernandez Abrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vlad Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, Guy Gur-Ari, Steven Hand, Hadi Hashemi, Le Hou, Joshua Howland, Andrea Hu, Jeffrey Hui, Jeremy Hurwitz, Michael Isard, Abe Ittycheriah, Matthew Jagielski, Wenhao Jia, Kathleen Kenealy, Maxim Krikun, Sneha Kudugunta, Chang Lan, Katherine Lee, Benjamin Lee, Eric Li, Music Li, Wei Li, YaGuang Li, Jian Li, Hyeontaek Lim, Hanzhao Lin, Zhongtao Liu, Frederick Liu, Marcello Maggioni, Aroma Mahendru, Joshua Maynez, Vedant Misra, Maysam Moussalem, Zachary Nado, John Nham, Eric Ni, Andrew Nystrom, Alicia Parrish, Marie Pellat, Martin Polacek, Alex Polozov, Reiner Pope, Siyuan Qiao, Emily Reif, Bryan Richter, Parker Riley, Alex Castro Ros, Aurko Roy, Brennan Saeta, Rajkumar Samuel, Renee Shelby, Ambrose Slone, Daniel Smilkov, David R. So, Daniel Sohn, Simon Tokumine, Dasha Valter, Vijay Vasudevan, Kiran Vodrahalli, Xuezhi Wang, Pidong Wang, Zirui Wang, Tao Wang, John Wieting, Yuhuai Wu, Kelvin Xu, Yunhan Xu, Linting Xue, Pengcheng Yin, Jiahui Yu, Qiao Zhang, Steven Zheng, Ce Zheng, Weikang Zhou, Denny Zhou, Slav Petrov, Yonghui Wu · 2023
- SLiC-HF: Sequence Likelihood Calibration with Human Feedback
Yao Zhao, Rishabh Joshi, Tianqi Liu, Misha Khalman, Mohammad Saleh, Peter J. Liu · 2023
- DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu · 2023
- Cooperation Is All You Need
Ahsan Adeel, Junaid Muzaffar, Fahad Zia, Khubaib Ahmed, Mohsin Raza, Eamin Chaudary, Talha Bin Riaz, Ahmed Saeed · 2023
- Gravitational Machines
Freeman J. Dyson · 2023
- Towards Invisible Backdoor Attacks in the Frequency Domain against Deep Neural Networks
Xinrui Liu, Yajie Wang, Yu-an Tan, Kefan Qiu, Yuanzhang Li · 2023
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan · 2023
- Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen · 2023
- Relay Mining: Incentivizing Full Non-Validating Nodes Servicing All RPC Types
Daniel Olshansky, Ramiro Rodríguez Colmeiro · 2023
- BrutePrint: Expose Smartphone Fingerprint Authentication to Brute-force Attack
Yu Chen, Yiling He · 2023
- Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
Juyoung Yun, Sol Choi, Francois Rameau, Byungkon Kang, Zhoulai Fu · 2023
- Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, Christian Theobalt · 2023
- Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz · 2023
- Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
Ana Cláudia Akemi Matsuki de Faria, Felype de Castro Bastos, José Victor Nogueira Alves da Silva, Vitor Lopes Fabris, Valeska de Sousa Uchoa, Décio Gonçalves de Aguiar Neto, Claudio Filipi Goncalves dos Santos · 2023
- Bits of Grass: Does GPT already know how to write like Whitman?
Piotr Sawicki, Marek Grzes, Fabricio Goes, Dan Brown, Max Peeperkorn, Aisha Khatun · 2023
- Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin · 2023
- Satellite Optical Brightness
Forrest Fankhauser, J. Anthony Tyson, Jacob Askari · 2023
- The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores
Maciej Besta, Robert Gerstenberger, Marc Fischer, Michał Podstawski, Nils Blach, Berke Egeli, Georgy Mitenkov, Wojciech Chlapek, Marek Michalewicz, Hubert Niewiadomski, Jürgen Müller, Torsten Hoefler · 2023
- Emergent Representations of Program Semantics in Language Models Trained on Programs
Charles Jin, Martin Rinard · 2023
- Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava · 2023
- LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy · 2023
- TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
Shubhra Kanti Karmaker Santu, Dongji Feng · 2023
- Graphologue: Exploring Large Language Model Responses with Interactive Diagrams
Peiling Jiang, Jude Rayan, Steven P. Dow, Haijun Xia · 2023
- Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel · 2023
- LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye · 2023
- Chrowned by an Extension: Abusing the Chrome DevTools Protocol through the Debugger API
José Miguel Moreno, Narseo Vallina-Rodriguez, Juan Tapiador · 2023
- LLM-Pruner: On the Structural Pruning of Large Language Models
Xinyin Ma, Gongfan Fang, Xinchao Wang · 2023
- Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen, Jiaxin Qing, Juan Helen Zhou · 2023
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen · 2023
- Pengi: An Audio Language Model for Audio Tasks
Soham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang · 2023
- Comparing Software Developers with ChatGPT: An Empirical Investigation
Nathalia Nascimento, Paulo Alencar, Donald Cowan · 2023
- How Does Generative Retrieval Scale to Millions of Passages?
Ronak Pradeep, Kai Hui, Jai Gupta, Adam D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran · 2023
- Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal · 2023
- AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation
Vijayaraghavan Murali, Chandra Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby · 2023
- SneakyPrompt: Jailbreaking Text-to-image Generative Models
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao · 2023
- Movie101: A New Movie Understanding Benchmark
Zihao Yue, Qi Zhang, Anwen Hu, Liang Zhang, Ziheng Wang, Qin Jin · 2023
- Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze · 2023
- The Damage to Lunar Orbiting Spacecraft Caused by the Ejecta of Lunar Landers
Philip T. Metzger, James G. Mantovani · 2023
- Learning Large Graph Property Prediction via Graph Segment Training
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi · 2023
- Description-Based Text Similarity
Shauli Ravfogel, Valentina Pyatkin, Amir DN Cohen, Avshalom Manevich, Yoav Goldberg · 2023
- SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly
Jordi Armengol-Estapé, Jackson Woodruff, Chris Cummins, Michael F. P. O'Boyle · 2023
- Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Veronica Perez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea · 2023
- Reflective Linguistic Programming (RLP): A Stepping Stone in Socially-Aware AGI (SocialAGI)
Kevin A. Fischer · 2023
- FIT: Far-reaching Interleaved Transformers
Ting Chen, Lala Li · 2023
- The CLIP Model is Secretly an Image-to-Prompt Converter
Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu · 2023
- Hot Pixels: Frequency, Power, and Temperature Attacks on GPUs and ARM SoCs
Hritvik Taneja, Jason Kim, Jie Jeff Xu, Stephan van Schaik, Daniel Genkin, Yuval Yarom · 2023
- GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun · 2023
- Meta-in-context learning in large language models
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew Botvinick, Jane X. Wang, Eric Schulz · 2023
- VanillaNet: the Power of Minimalism in Deep Learning
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao · 2023
- Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
Ibrahim Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov, Lucas Beyer · 2023
- RWKV: Reinventing RNNs for the Transformer Era
Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Jiaju Lin, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu · 2023
- Interpretable Mesomorphic Networks for Tabular Data
Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka · 2023
- Optimality Principles in Spacecraft Neural Guidance and Control
Dario Izzo, Emmanuel Blazquez, Robin Ferede, Sebastien Origer, Christophe De Wagter, Guido C. H. E. de Croon · 2023
- Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate
Boshi Wang, Xiang Yue, Huan Sun · 2023
- On-demand Container Loading in AWS Lambda
Marc Brooker, Mike Danilov, Chris Greenwood, Phil Piwonka · 2023
- A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito · 2023
- To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You · 2023
- Whose baseline compiler is it anyway?
Ben L. Titzer · 2023
- Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce · 2023
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, Sumit Sanghai · 2023
- "According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
Orion Weller, Marc Marone, Nathaniel Weir, Dawn Lawrie, Daniel Khashabi, Benjamin Van Durme · 2023
- Prompting is not a substitute for probability measurements in large language models
Jennifer Hu, Roger Levy · 2023
- How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
Rochelle Choenni, Dan Garrette, Ekaterina Shutova · 2023
- Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine · 2023