All paper pages
28734 retained paper pages. Page 177 of 288.
- Three-body periodic collisionless equal-mass free-fall orbits revisited
Ivan Hristov, Radoslava Hristova, Veljko Dmitrašinović, Kiyotaka Tanikawa · 2023
- Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
Jiuhai Chen, Jonas Mueller · 2023
- General Purpose Audio Effect Removal
Matthew Rice, Christian J. Steinmetz, George Fazekas, Joshua D. Reiss · 2023
- Exposing and Addressing Security Vulnerabilities in Browser Text Input Fields
Asmit Nayak, Rishabh Khandelwal, Kassem Fawaz · 2023
- What's for dessert?
Tanya Khovanova, Daniel A. Klain · 2023
- Emoji Promotes Developer Participation and Issue Resolution on GitHub
Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai · 2023
- Large Language Models as Data Preprocessors
Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada · 2023
- Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering
Lars-Peter Meyer, Johannes Frey, Kurt Junghanns, Felix Brei, Kirill Bulert, Sabine Gründer-Fahrer, Michael Martin · 2023
- Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack
Sze Jue Yang, Quang Nguyen, Chee Seng Chan, Khoa D. Doan · 2023
- Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
Zexin Hu, Kun Hu, Clinton Mo, Lei Pan, Zhiyong Wang · 2023
- Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
Qijiong Liu, Lu Fan, Jiaren Xiao, Jieming Zhu, Xiao-Ming Wu · 2023
- Can Programming Languages Boost Each Other via Instruction Tuning?
Daoguang Zan, Ailun Yu, Bo Shen, Jiaxin Zhang, Taihong Chen, Bing Geng, Bei Chen, Jichuan Ji, Yafen Yao, Yongji Wang, Qianxiang Wang · 2023
- UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting
Otmar Ertl · 2023
- The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa · 2023
- Transformers as Support Vector Machines
Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak · 2023
- Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments
Georgios Kopanas, George Drettakis · 2023
- Detection of the Keplerian decline in the Milky Way rotation curve
Yongjun Jiao, Francois Hammer, Haifeng Wang, Jianling Wang, Philippe Amram, Laurent Chemin, Yanbin Yang · 2023
- On the Performance of Large Loss Systems with Adaptive Multiserver Jobs
Samira Ghanbarian, Arpan Mukhopadhyay, Fabrice M. Guillemin, Ravi R. Mazumdar · 2023
- SoDaCam: Software-defined Cameras via Single-Photon Imaging
Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Bruschini, Edoardo Charbon, Mohit Gupta · 2023
- YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng, Jeffrey Quesnelle, Honglu Fan, Enrico Shippole · 2023
- Excel as a Turing-complete Functional Programming Environment
Peter Bartholomew · 2023
- TurboGP: A flexible and advanced python based GP library
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante · 2023
- LLM in the Shell: Generative Honeypots
Muris Sladić, Veronica Valeros, Carlos Catania, Sebastian Garcia · 2023
- Typing on Any Surface: A Deep Learning-based Method for Real-Time Keystroke Detection in Augmented Reality
Xingyu Fu, Mingze Xi · 2023
- A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia
Aitolkyn Baigutanova, Diego Saez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragón · 2023
- Large Language Models for Semantic Monitoring of Corporate Disclosures: A Case Study on Korea's Top 50 KOSPI Companies
Junwon Sung, Woojin Heo, Yunkyung Byun, Youngsam Kim · 2023
- Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
Sunjun Kweon, Junu Kim, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi · 2023
- NeuroSurgeon: A Toolkit for Subnetwork Analysis
Michael A. Lepori, Ellie Pavlick, Thomas Serre · 2023
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Harrison Lee, Samrat Phatale, Hassan Mansoor, Thomas Mesnard, Johan Ferret, Kellie Lu, Colton Bishop, Ethan Hall, Victor Carbune, Abhinav Rastogi, Sushant Prakash · 2023
- The Case for Replication-Aware Memory-Error Protection in Disaggregated Memory
Haris Volos · 2023
- Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU
Nick Brown, Maurice Jamieson, Joseph Lee, Paul Wang · 2023
- On primes in arithmetic progressions and bounded gaps between many primes
Julia Stadlmann · 2023
- Initial Trajectory Assessment of the RAMSES Mission to (99942) Apophis
Andrea C. Morelli, Alessandra Mannocchi, Carmine Giordano, Fabio Ferrari, Francesco Topputo · 2023
- Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion
Zaynab Zahra, Zihao Li, Rosa Filgueira · 2023
- CityDreamer: Compositional Generative Model of Unbounded 3D Cities
Haozhe Xie, Zhaoxi Chen, Fangzhou Hong, Ziwei Liu · 2023
- Intelligence as a Measure of Consciousness
Igor Ševo · 2023
- Reducing Errors in Excel Models with Component-Based Software Engineering
Craig Hatmaker · 2023
- Taken out of context: On measuring situational awareness in LLMs
Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Max Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans · 2023
- Efficient RLHF: Reducing the Memory Usage of PPO
Michael Santacroce, Yadong Lu, Han Yu, Yuanzhi Li, Yelong Shen · 2023
- Manifesting Unobtainable Secrets: Threshold Elliptic Curve Key Generation using Nested Shamir Secret Sharing
J. L. Hall, Y. Hertzog, M. Loewy, M. P. Skerritt, D. Valladolid, G. Verma · 2023
- Emergent Linear Representations in World Models of Self-Supervised Sequence Models
Neel Nanda, Andrew Lee, Martin Wattenberg · 2023
- Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du · 2023
- Comparative Safety Performance of Autonomous- and Human Drivers: A Real-World Case Study of the Waymo One Service
Luigi Di Lillo, Tilia Gode, Xilin Zhou, Margherita Atzei, Ruoshu Chen, Trent Victor · 2023
- Implicit Neural Image Stitching
Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin · 2023
- The History of Quantum Games
Laura Piispanen, Edward Morrell, Solip Park, Marcell Pfaffhauser, Annakaisa Kultima · 2023
- P-wave magnets
Anna Birk Hellenes, Tomáš Jungwirth, Rodrigo Jaeschke-Ubiergo, Atasi Chakraborty, Jairo Sinova, Libor Šmejkal · 2023
- Unveiling Theory of Mind in Large Language Models: A Parallel to Single Neurons in the Human Brain
Mohsen Jamali, Ziv M. Williams, Jing Cai · 2023
- Are Emergent Abilities in Large Language Models just In-Context Learning?
Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych · 2023
- One Wide Feedforward is All You Need
Telmo Pessoa Pires, António V. Lopes, Yannick Assogba, Hendra Setiawan · 2023
- Provably safe systems: the only path to controllable AGI
Max Tegmark, Steve Omohundro · 2023
- Wordle: A Microcosm of Life. Luck, Skill, Cheating, Loyalty, and Influence!
James P. Dilger · 2023
- Hierarchical Masked 3D Diffusion Model for Video Outpainting
Fanda Fan, Chaoxu Guo, Litong Gong, Biao Wang, Tiezheng Ge, Yuning Jiang, Chunjie Luo, Jianfeng Zhan · 2023
- PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective
Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters · 2023
- Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments
Haozhe Lei, Quanyan Zhu · 2023
- Explaining grokking through circuit efficiency
Vikrant Varma, Rohin Shah, Zachary Kenton, János Kramár, Ramana Kumar · 2023
- Cognitive Architectures for Language Agents
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths · 2023
- Mayhem: Targeted Corruption of Register and Stack Variables
Andrew J. Adiletta, M. Caner Tol, Yarkın Doröz, Berk Sunar · 2023
- Teaching Magnetism with Bivectors
Steuard Jensen · 2023
- Physically Grounded Vision-Language Models for Robotic Manipulation
Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh · 2023
- Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria · 2023
- On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
Ophir M. Carmel, Guy Katz · 2023
- Demystifying RCE Vulnerabilities in LLM-Integrated Apps
Tong Liu, Zizhuang Deng, Guozhu Meng, Yuekang Li, Kai Chen · 2023
- Reference Capabilities for Flexible Memory Management: Extended Version
Ellen Arvidsson, Elias Castegren, Sylvan Clebsch, Sophia Drossopoulou, James Noble, Matthew J. Parkinson, Tobias Wrigstad · 2023
- Method-Level Bug Severity Prediction using Source Code Metrics and LLMs
Ehsan Mashhadi, Hossein Ahmadvand, Hadi Hemmati · 2023
- An Evaluation of Software Sketches
Roy Friedman · 2023
- GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models
Udit Gupta · 2023
- Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi · 2023
- No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function
Haotian Xu · 2023
- Which algorithm to select in sports timetabling?
David Van Bulck, Dries Goossens, Jan-Patrick Clarner, Angelos Dimitsas, George H. G. Fonseca, Carlos Lamas-Fernandez, Martin Mariusz Lester, Jaap Pedersen, Antony E. Phillips, Roberto Maria Rosati · 2023
- GPT Can Solve Mathematical Problems Without a Calculator
Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang · 2023
- A small Universe
Jean-Luc Lehners, Jerome Quintin · 2023
- Large Language Models as Optimizers
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen · 2023
- Support-Set Context Matters for Bongard Problems
Nikhil Raghuraman, Adam W. Harley, Leonidas Guibas · 2023
- Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping
Jingyang Hu, Hongbo Wang, Tianyue Zheng, Jingzhi Hu, Zhe Chen, Hongbo Jiang, Jun Luo · 2023
- HOPPER: Interpretative Fuzzing for Libraries
Peng Chen, Yuxuan Xie, Yunlong Lyu, Yuxiao Wang, Hao Chen · 2023
- Topological fingerprints for audio identification
Wojciech Reise, Ximena Fernández, Maria Dominguez, Heather A. Harrington, Mariano Beguerisse-Díaz · 2023
- Keep-Alive Caching for the Hawkes process
Sushirdeep Narayana, Ian A. Kash · 2023
- An Anchor Learning Approach for Citation Field Learning
Zilin Yuan, Borun Chen, Yimeng Dai, Yinghui Li, Hai-Tao Zheng, Rui Zhang · 2023
- Trinary Decision Trees for handling missing data
Henning Zakrisson · 2023
- Loquacity and Visible Emotion: ChatGPT as a Policy Advisor
Claudia Biancotti, Carolina Camassa · 2023
- Social Media Influence Operations
Raphael Meier · 2023
- TradingGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance
Yang Li, Yangyang Yu, Haohang Li, Zhi Chen, Khaldoun Khashanah · 2023
- Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson · 2023
- FLM-101B: An Open LLM and How to Train It with $100K Budget
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang · 2023
- OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
Patrick Haller, Ansar Aynetdinov, Alan Akbik · 2023
- DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James Glass, Pengcheng He · 2023
- Large-Scale Automatic Audiobook Creation
Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer · 2023
- Evaluation of large language models for discovery of gene set function
Mengzhou Hu, Sahar Alkhairy, Ingoo Lee, Rudolf T. Pillich, Dylan Fong, Kevin Smith, Robin Bachelder, Trey Ideker, Dexter Pratt · 2023
- A Grounded Conceptual Model for Ownership Types in Rust
Will Crichton, Gavin Gray, Shriram Krishnamurthi · 2023
- Gravitational waves from high-power twisted light
Eduard Atonga, Killian Martineau, Ramy Aboushelbaya, Aurélien Barrau, Marko von der Leyen, Sunny Howard, Abigail James, Jordan Lee, Chunshan Lin, Heath Martin, Iustin Ouatu, Robert Paddock, Rusko Ruskov, Robin Timmis, Peter Norreys · 2023
- Seeding Contradiction: a fast method for generating full-coverage test suites
Li Huang, Bertrand Meyer, Manuel Oriol · 2023
- C++ Design Patterns for Low-latency Applications Including High-frequency Trading
Paul Bilokon, Burak Gunduz · 2023
- From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Griffin Adams, Alexander Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad · 2023
- Graph Neural Networks Use Graphs When They Shouldn't
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson · 2023
- When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
Max Marion, Ahmet Üstün, Luiza Pozzobon, Alex Wang, Marzieh Fadaee, Sara Hooker · 2023
- Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
Yuzhuang Xu, Shuo Wang, Peng Li, Fuwen Luo, Xiaolong Wang, Weidong Liu, Yang Liu · 2023
- MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Christopher A. Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat · 2023
- Neurons in Large Language Models: Dead, N-gram, Positional
Elena Voita, Javier Ferrando, Christoforos Nalmpantis · 2023
- A Penny a Function: Towards Cost Transparent Cloud Programming
Lukas Böhme, Tom Beckmann, Sebastian Baltes, Robert Hirschfeld · 2023
- An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language Model Game Agents
Maximilian Croissant, Madeleine Frister, Guy Schofield, Cade McCall · 2023