All paper pages
28734 retained paper pages. Page 212 of 288.
- Leveraging Large Language Models for Solving Rare MIP Challenges
Teng Wang, Wing-Yin Yu, Ruifeng She, Wenhan Yang, Taijie Chen, Jianping Zhang · 2024
- State and Action Factorization in Power Grids
Gianvito Losapio, Davide Beretta, Marco Mussi, Alberto Maria Metelli, Marcello Restelli · 2024
- Primordial Black Holes in the Solar System
Valentin Thoss, Andreas Burkert · 2024
- How Does Code Pretraining Affect Language Model Task Performance?
Jackson Petty, Sjoerd van Steenkiste, Tal Linzen · 2024
- Neurosymbolic Methods for Dynamic Knowledge Graphs
Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris · 2024
- QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval
Hemanth Kandula, Damianos Karakos, Haoling Qiu, Benjamin Rozonoyer, Ian Soboroff, Lee Tarlin, Bonan Min · 2024
- Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models
Michael Günther, Isabelle Mohr, Daniel James Williams, Bo Wang, Han Xiao · 2024
- PIXHELL Attack: Leaking Sensitive Information from Air-Gap Computers via `Singing Pixels'
Mordechai Guri · 2024
- On cat-human interaction from the viewpoint of physics: an equation of motion
Anxo Biasi · 2024
- MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang · 2024
- LLMs Will Always Hallucinate, and We Need to Live With This
Sourav Banerjee, Ayushi Agarwal, Saloni Singla · 2024
- End-to-End Quantum Simulation of a Chemical System
Wim van Dam, Hongbin Liu, Guang Hao Low, Adam Paetznick, Andres Paz, Marcus Silva, Aarthi Sundaram, Krysta Svore, Matthias Troyer · 2024
- Programming Refusal with Conditional Activation Steering
Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre Dognin, Manish Nagireddy, Amit Dhurandhar · 2024
- Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh, Jason Cong · 2024
- Can Large Language Models Unlock Novel Scientific Research Ideas?
Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal · 2024
- Watching TV with the Second-Party: A First Look at Automatic Content Recognition Tracking in Smart TVs
Gianluca Anselmi, Yash Vekaria, Alexander D'Souza, Patricia Callejo, Anna Maria Mandalari, Zubair Shafiq · 2024
- Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
Peyman Milanfar, Mauricio Delbracio · 2024
- Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?
Jimmy Lin · 2024
- Discovery of young, oxygen-rich supernova remnants in PHANGS-MUSE galaxies
Timo Kravtsov, Joseph P. Anderson, Hanindyo Kuncarayakti, Keiichi Maeda, Seppo Mattila · 2024
- LaMsS: When Large Language Models Meet Self-Skepticism
Yetao Wu, Yihong Wang, Teng Chen, Ningyuan Xi, Qingqing Gu, Hongyang Lei, Luo Ji · 2024
- Watts and Bots: The Energy Implications of AI Adoption
Anthony Harding, Juan Moreno-Cruz · 2024
- Quantized neural network for complex hologram generation
Yutaka Endo, Minoru Oikawa, Timothy D. Wilkinson, Tomoyoshi Shimobaba, Tomoyoshi Ito · 2024
- Waste Heat and Habitability: Constraints from Technological Energy Consumption
Amedeo Balbi, Manasvi Lingam · 2024
- Can Agents Spontaneously Form a Society? Introducing a Novel Architecture for Generative Multi-Agents to Elicit Social Emergence
H. Zhang, J. Yin, M. Jiang, C. Su · 2024
- What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen, Gaël Varoquaux · 2024
- Towards Understanding Human Emotional Fluctuations with Sparse Check-In Data
Sagar Paresh Shah, Ga Wu, Sean W. Kortschot, Samuel Daviau · 2024
- ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
Xiaomin Lin, Vivek Mange, Arjun Suresh, Bernhard Neuberger, Aadi Palnitkar, Brendan Campbell, Alan Williams, Kleio Baxevani, Jeremy Mallette, Alhim Vera, Markus Vincze, Ioannis Rekleitis, Herbert G. Tanner, Yiannis Aloimonos · 2024
- Jump Restore Light Transport
Sascha Holl, Gurprit Singh, Hans-Peter Seidel · 2024
- Agent Workflow Memory
Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig · 2024
- Synthetic continued pretraining
Zitong Yang, Neil Band, Shuangping Li, Emmanuel Candès, Tatsunori Hashimoto · 2024
- Complexity as Design Material
Florian Windhager, Alfie Abduhl-Rahman, Mark-Jan Bludau, Nicole Hengesbach, Houda Lamqaddam, Isabel Meirelles, Bettina Speckmann, Michael Correll · 2024
- SafeBPF: Hardware-assisted Defense-in-depth for eBPF Kernel Extensions
Soo Yee Lim, Tanya Prasad, Xueyuan Han, Thomas Pasquier · 2024
- CAVERNAUTE: a design and manufacturing pipeline of a rigid but foldable indoor airship aerial system for cave exploration
Catar Louis, Tabiai Ilyass, St-Onge David · 2024
- Can We Count on LLMs? The Fixed-Effect Fallacy and Claims of GPT-4 Capabilities
Thomas Ball, Shuo Chen, Cormac Herley · 2024
- A Deep Dive Into How Open-Source Project Maintainers Review and Resolve Bug Bounty Reports
Jessy Ayala, Steven Ngo, Joshua Garcia · 2024
- Large-scale database analysis of anomalous thermal conductivity of quasicrystals and its application to thermal diodes
Takashi Kurono, Jinjia Zhang, Yasushi Kamimura, Keiichi Edagawa · 2024
- Learning Communities from Equilibria of Nonlinear Opinion Dynamics
Yu Xing, Anastasia Bizyaeva, Karl H. Johansson · 2024
- De novo design of high-affinity protein binders with AlphaProteo
Vinicius Zambaldi, David La, Alexander E. Chu, Harshnira Patani, Amy E. Danson, Tristan O. C. Kwan, Thomas Frerix, Rosalia G. Schneider, David Saxton, Ashok Thillaisundaram, Zachary Wu, Isabel Moraes, Oskar Lange, Eliseo Papa, Gabriella Stanton, Victor Martin, Sukhdeep Singh, Lai H. Wong, Russ Bates, Simon A. Kohl, Josh Abramson, Andrew W. Senior, Yilmaz Alguel, Mary Y. Wu, Irene M. Aspalter, Katie Bentley, David L. V. Bauer, Peter Cherepanov, Demis Hassabis, Pushmeet Kohli, Rob Fergus, Jue Wang · 2024
- WhisperNER: Unified Open Named Entity and Speech Recognition
Gil Ayache, Menachem Pirchi, Aviv Navon, Aviv Shamsian, Gill Hetz, Joseph Keshet · 2024
- Microarchitectural comparison and in-core modeling of state-of-the-art CPUs: Grace, Sapphire Rapids, and Genoa
Jan Laukemann, Georg Hager, Gerhard Wellein · 2024
- GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices
Hanqiu Wang, Zihao Zhan, Haoqi Shan, Siqi Dai, Max Panoff, Shuo Wang · 2024
- Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Jang, Zack Hui · 2024
- Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives
Zhanglu Yan, Zhenyu Bai, Kaiwen Tang, Weng-Fai Wong · 2024
- A Radio Technosignature Search of TRAPPIST-1 with the Allen Telescope Array
Nick Tusay, Sofia Z. Sheikh, Evan L. Sneed, Wael Farah, Alexander W. Pollak, Luigi F. Cruz, Andrew Siemion, David R. DeBoer, Jason T. Wright · 2024
- Scientific and technological knowledge grows linearly over time
Huquan Kang, Luoyi Fu, Russell J. Funk, Xinbing Wang, Jiaxin Ding, Shiyu Liang, Jianghao Wang, Lei Zhou, Chenghu Zhou · 2024
- The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot
Doron Yeverechyahu, Raveesh Mayya, Gal Oestreicher-Singer · 2024
- Knowledge Tagging with Large Language Model based Multi-Agent System
Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen · 2024
- The Puzzling Superorbital Period Variation of the Low-mass X-ray Binary 4U 1820-30
Yi Chou, Jun-Lei Wu, Bo-Chun Chen, Wei-Yun Chang · 2024
- Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt · 2024
- CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks
Tianlong Wang, Junzhe Chen, Xueting Han, Jing Bai · 2024
- Towards Modified Condition/Decision Coverage of Rust
Wanja Zaeske, Pietro Albini, Florian Gilcher, Umut Durak · 2024
- Breaking reCAPTCHAv2
Andreas Plesner, Tobias Vontobel, Roger Wattenhofer · 2024
- Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?
Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Aarne Lees, Christopher Kanan · 2024
- AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, Maarten Sap · 2024
- AI Meets the Classroom: When Do Large Language Models Harm Learning?
Matthias Lehmann, Philipp B. Cornelius, Fabian J. Sting · 2024
- Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU
Zhenyu Ning, Jieru Zhao, Qihao Jin, Wenchao Ding, Minyi Guo · 2024
- PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage
Denis Zavadski, Damjan Kalšan, Carsten Rother · 2024
- HotSwap: Enabling Live Dependency Sharing in Serverless Computing
Rui Li, Devesh Tiwari, Gene Cooperman · 2024
- What is Entropy?
John C. Baez · 2024
- Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting
Ryan Lingo, Martin Arroyo, Rajeev Chhajer · 2024
- A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink
Liz Izhikevich, Reese Enghardt, Te-Yuan Huang, Renata Teixeira · 2024
- Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
Ningfei Wang, Shaoyuan Xie, Takami Sato, Yunpeng Luo, Kaidi Xu, Qi Alfred Chen · 2024
- On the Diagram of Thought
Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao · 2024
- Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Yujia Zhou, Wenbo Zhang, Jingying Shao, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Jason Chen Zhang, Zhicheng Dou, Philip S. Yu, Jiaxin Mao · 2024
- jina-embeddings-v3: Multilingual Embeddings With Task LoRA
Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther, Bo Wang, Markus Krimmel, Feng Wang, Georgios Mastrapas, Andreas Koukounas, Nan Wang, Han Xiao · 2024
- Schrodinger's Memory: Large Language Models
Wei Wang, Qing Li · 2024
- SmartC2Rust: Iterative, Feedback-Driven C-to-Rust Translation via Large Language Models for Safety and Equivalence
Momoko Shiraishi, Yinzhi Cao, Takahiro Shinagawa · 2024
- Mapping the exo-Neptunian landscape. A ridge between the desert and savanna
A. Castro-González, V. Bourrier, J. Lillo-Box, J. -B. Delisle, D. J. Armstrong, D. Barrado, A. C. M. Correia · 2024
- Towards Empathetic Conversational Recommender Systems
Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren · 2024
- From Latent to Engine Manifolds: Analyzing ImageBind's Multimodal Embedding Space
Andrew Hamara, Pablo Rivas · 2024
- Kolmogorov-Arnold Transformer
Xingyi Yang, Xinchao Wang · 2024
- Relativistic elastic membranes: rotating disks and Dyson spheres
Paulo Mourão, José Natário, Rodrigo Vicente · 2024
- Direct Visualization of Relativistic Quantum Scars
Zhehao Ge, Anton M. Graf, Joonas Keski-Rahkonen, Sergey Slizovskiy, Peter Polizogopoulos, Takashi Taniguchi, Kenji Watanabe, Ryan Van Haren, David Lederman, Vladimir I. Fal'ko, Eric J. Heller, Jairo Velasco · 2024
- Investigating the Impact of Code Comment Inconsistency on Bug Introducing
Shiva Radmanesh, Aaron Imani, Iftekhar Ahmed, Mohammad Moshirpour · 2024
- Grounded GUI Understanding for Vision-Based Spatial Intelligent Agent: Exemplified by Extended Reality Apps
Shuqing Li, Binchang Li, Yepang Liu, Cuiyun Gao, Jianping Zhang, Shing-Chi Cheung, Michael R. Lyu · 2024
- Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
Jemin Lee, Sihyeong Park, Jinse Kwon, Jihun Oh, Yongin Kwon · 2024
- Variational approach to nonholonomic and inequality-constrained mechanics
A. Rothkopf, W. A. Horowitz · 2024
- A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler
Mohammed Tirichine, Nassim Ameur, Nazim Bendib, Iheb Nassim Aouadj, Bouchama Djad, Rafik Bouloudene, Riyadh Baghdadi · 2024
- OmniGen: Unified Image Generation
Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Chaofan Li, Shuting Wang, Tiejun Huang, Zheng Liu · 2024
- AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
Dhruv Agarwal, Mor Naaman, Aditya Vashistha · 2024
- CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark
Zachary S. Siegel, Sayash Kapoor, Nitya Nadgir, Benedikt Stroebl, Arvind Narayanan · 2024
- NVLM: Open Frontier-Class Multimodal LLMs
Wenliang Dai, Nayeon Lee, Boxin Wang, Zhuolin Yang, Zihan Liu, Jon Barker, Tuomas Rintamaki, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping · 2024
- LlamaF: An Efficient Llama2 Architecture Accelerator on Embedded FPGAs
Han Xu, Yutong Li, Shihao Ji · 2024
- MARCA: Mamba Accelerator with ReConfigurable Architecture
Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai · 2024
- Effects of the entropy source on Monte Carlo simulations
Anton Lebedev, Annika Möslein, Olha I. Yaman, Del Rajan, Philip Intallura · 2024
- Tiling with Three Polygons is Undecidable
Erik D. Demaine, Stefan Langerman · 2024
- ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering
Priyesh Vakharia, Abigail Kufeldt, Max Meyers, Ian Lane, Leilani Gilpin · 2024
- ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin · 2024
- Finding the Subjective Truth: Collecting 2 Million Votes for Comprehensive Gen-AI Model Evaluation
Dimitrios Christodoulou, Mads Kuhlmann-Jørgensen · 2024
- An Imperative Language for Verified Exact Real-Number Computation
Andrej Bauer, Sewon Park, Alex Simpson · 2024
- The Impact of Element Ordering on LM Agent Performance
Wayne Chi, Ameet Talwalkar, Chris Donahue · 2024
- Lempel-Ziv (LZ77) Factorization in Sublinear Time
Dominik Kempa, Tomasz Kociumaka · 2024
- To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett · 2024
- Qwen2.5-Coder Technical Report
Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Keming Lu, Kai Dang, Yang Fan, Yichang Zhang, An Yang, Rui Men, Fei Huang, Bo Zheng, Yibo Miao, Shanghaoran Quan, Yunlong Feng, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin · 2024
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin · 2024
- Mastering Chess with a Transformer Model
Daniel Monroe, Philip A. Chalmers · 2024
- Towards Closing the Loop in Robotic Pollination for Indoor Farming via Autonomous Microscopic Inspection
Chuizheng Kong, Alex Qiu, Idris Wibowo, Marvin Ren, Aishik Dhori, Kai-Shu Ling, Ai-Ping Hu, Shreyas Kousik · 2024
- The NEID Earth Twin Survey. I. Confirmation of a 31-day planet orbiting HD 86728
Arvind F. Gupta, Jacob K. Luhn, Jason T. Wright, Suvrath Mahadevan, Paul Robertson, Daniel M. Krolikowski, Eric B. Ford, Caleb I. Cañas, Samuel Halverson, Andrea S. J. Lin, Shubham Kanodia, Evan Fitzmaurice, Christian Gilbertson, Chad F. Bender, Cullen H. Blake, Jiayin Dong, Mark R. Giovinazzi, Sarah E. Logsdon, Andrew Monson, Joe P. Ninan, Jayadev Rajagopal, Arpita Roy, Christian Schwab, Guðmundur Stefánsson · 2024
- Extracting Memorized Training Data via Decomposition
Ellen Su, Anu Vellore, Amy Chang, Raffaele Mura, Blaine Nelson, Paul Kassianik, Amin Karbasi · 2024
- Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts
Jenny T. Liang, Melissa Lin, Nikitha Rao, Brad A. Myers · 2024