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28734 retained paper pages. Page 189 of 288.
- ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
Dingkun Yan, Liang Yuan, Erwin Wu, Yuma Nishioka, Issei Fujishiro, Suguru Saito · 2024
- GPT-4V(ision) is a Generalist Web Agent, if Grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, Yu Su · 2024
- aMUSEd: An Open MUSE Reproduction
Suraj Patil, William Berman, Robin Rombach, Patrick von Platen · 2024
- The Power of Training: How Different Neural Network Setups Influence the Energy Demand
Daniel Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz · 2024
- Attackers reveal their arsenal: An investigation of adversarial techniques in CTI reports
Md Rayhanur Rahman, Setu Kumar Basak, Rezvan Mahdavi Hezaveh, Laurie Williams · 2024
- From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Evonne Ng, Javier Romero, Timur Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard · 2024
- Understanding LLMs: A Comprehensive Overview from Training to Inference
Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge · 2024
- Using LLM to select the right SQL Query from candidates
Zhenwen Li, Tao Xie · 2024
- Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment
Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie · 2024
- Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Zipeng Fu, Tony Z. Zhao, Chelsea Finn · 2024
- TinyLlama: An Open-Source Small Language Model
Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, Wei Lu · 2024
- LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar · 2024
- LLaMA Pro: Progressive LLaMA with Block Expansion
Chengyue Wu, Yukang Gan, Yixiao Ge, Zeyu Lu, Jiahao Wang, Ye Feng, Ying Shan, Ping Luo · 2024
- Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization
Dong-Yi Wu, Thi-Ngoc-Hanh Le, Sheng-Yi Yao, Yun-Chen Lin, Tong-Yee Lee · 2023
- Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Simon Niedermayr, Josef Stumpfegger, Rüdiger Westermann · 2023
- Memory, Consciousness and Large Language Model
Jitang Li, Jinzheng Li · 2024
- Comprehensive Exploration of Synthetic Data Generation: A Survey
André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian Foster · 2024
- CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury · 2024
- Parameterized Hardware Design with Latency-Abstract Interfaces
Rachit Nigam, Ethan Gabizon, Edmund Lam, Carolyn Zech, Jonathan Balkind, Adrian Sampson · 2024
- Large Language Models for Social Networks: Applications, Challenges, and Solutions
Jingying Zeng, Richard Huang, Waleed Malik, Langxuan Yin, Bojan Babic, Danny Shacham, Xiao Yan, Jaewon Yang, Qi He · 2024
- Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Bin Lin, Chen Zhang, Tao Peng, Hanyu Zhao, Wencong Xiao, Minmin Sun, Anmin Liu, Zhipeng Zhang, Lanbo Li, Xiafei Qiu, Shen Li, Zhigang Ji, Tao Xie, Yong Li, Wei Lin · 2024
- Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu · 2024
- Complex systems approach to natural language
Tomasz Stanisz, Stanisław Drożdż, Jarosław Kwapień · 2024
- Thousands of AI Authors on the Future of AI
Katja Grace, Harlan Stewart, Julia Fabienne Sandkühler, Stephen Thomas, Ben Weinstein-Raun, Jan Brauner, Richard C. Korzekwa · 2024
- DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
DeepSeek-AI, :, Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, A. X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou · 2024
- Denoising Vision Transformers
Jiawei Yang, Katie Z Luo, Jiefeng Li, Congyue Deng, Leonidas Guibas, Dilip Krishnan, Kilian Q Weinberger, Yonglong Tian, Yue Wang · 2024
- Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education
Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow · 2024
- Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Xiaoding Lu, Zongyi Liu, Adian Liusie, Vyas Raina, Vineet Mudupalli, Yuwen Zhang, William Beauchamp · 2024
- AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Linyuan Gong, Mostafa Elhoushi, Alvin Cheung · 2024
- SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines
Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu · 2024
- CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang · 2024
- StreamVC: Real-Time Low-Latency Voice Conversion
Yang Yang, Yury Kartynnik, Yunpeng Li, Jiuqiang Tang, Xing Li, George Sung, Matthias Grundmann · 2024
- Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou · 2024
- An Investigation of Large Language Models for Real-World Hate Speech Detection
Keyan Guo, Alexander Hu, Jaden Mu, Ziheng Shi, Ziming Zhao, Nishant Vishwamitra, Hongxin Hu · 2024
- Escalation Risks from Language Models in Military and Diplomatic Decision-Making
Juan-Pablo Rivera, Gabriel Mukobi, Anka Reuel, Max Lamparth, Chandler Smith, Jacquelyn Schneider · 2024
- Long Context Compression with Activation Beacon
Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou · 2024
- Loophole-free test of local realism via Hardy's violation
Si-Ran Zhao, Shuai Zhao, Hai-Hao Dong, Wen-Zhao Liu, Jing-Ling Chen, Kai Chen, Qiang Zhang, Jian-Wei Pan · 2024
- The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
Abel Salinas, Fred Morstatter · 2024
- Aligned with LLM: a new multi-modal training paradigm for encoding fMRI activity in visual cortex
Shuxiao Ma, Linyuan Wang, Senbao Hou, Bin Yan · 2024
- FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang · 2024
- A Philosophical Introduction to Language Models -- Part I: Continuity With Classic Debates
Raphaël Millière, Cameron Buckner · 2024
- Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam H. Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam · 2024
- Identifying Fabricated Networks within Authorship-for-Sale Enterprises
Simon J. Porter, Leslie D. McIntosh · 2024
- Accelerating computational materials discovery with artificial intelligence and cloud high-performance computing: from large-scale screening to experimental validation
Chi Chen, Dan Thien Nguyen, Shannon J. Lee, Nathan A. Baker, Ajay S. Karakoti, Linda Lauw, Craig Owen, Karl T. Mueller, Brian A. Bilodeau, Vijayakumar Murugesan, Matthias Troyer · 2024
- MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Maciej Pióro, Kamil Ciebiera, Krystian Król, Jan Ludziejewski, Michał Krutul, Jakub Krajewski, Szymon Antoniak, Piotr Miłoś, Marek Cygan, Sebastian Jaszczur · 2024
- Mixtral of Experts
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed · 2024
- A Statically and Dynamically Scalable Soft GPGPU
Martin Langhammer, George A. Constantinides · 2024
- Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking
Shourav B. Rabbani, Ivan V. Medri, Manar D. Samad · 2024
- Using gravitational waves to see the first second of the Universe
Rishav Roshan, Graham White · 2024
- Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister · 2024
- SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
Hector A. Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Langer, Chen Liu, Matthias Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo C. Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr · 2024
- Masked Audio Generation using a Single Non-Autoregressive Transformer
Alon Ziv, Itai Gat, Gael Le Lan, Tal Remez, Felix Kreuk, Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi · 2024
- Astrobiological Potential of Venus Atmosphere Chemical Anomalies and Other Unexplained Cloud Properties
Janusz J. Petkowski, Sara Seager, David H. Grinspoon, William Bains, Sukrit Ranjan, Paul B. Rimmer, Weston P. Buchanan, Rachana Agrawal, Rakesh Mogul, Christopher E. Carr · 2024
- How predictable is language model benchmark performance?
David Owen · 2024
- JWST Observations Reject Unrecognized Crowding of Cepheid Photometry as an Explanation for the Hubble Tension at 8 sigma Confidence
Adam G. Riess, Gagandeep S. Anand, Wenlong Yuan, Lucas M. Macri, Stefano Casertano, Andrew Dolphin, Louise Breuval, Dan Scolnic, Marshall Perrin, Richard I. Anderson · 2024
- Tip of the Red Giant Branch Distances with JWST: An Absolute Calibration in NGC 4258 and First Applications to Type Ia Supernova Hosts
Gagandeep S. Anand, Adam G. Riess, Wenlong Yuan, Rachael Beaton, Stefano Casertano, Siyang Li, Dmitry I. Makarov, Lidia N. Makarova, R. Brent Tully, Richard I. Anderson, Louise Breuval, Andrew Dolphin, Igor D. Karachentsev, Lucas M. Macri, Daniel Scolnic · 2024
- Reconnaissance with JWST of the J-region Asymptotic Giant Branch in Distance Ladder Galaxies: From Irregular Luminosity Functions to Approximation of the Hubble Constant
Siyang Li, Adam G. Riess, Stefano Casertano, Gagandeep S. Anand, Daniel M. Scolnic, Wenlong Yuan, Louise Breuval, Caroline D. Huang · 2024
- Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers
Negar Arabzadeh, Amin Bigdeli, Charles L. A. Clarke · 2024
- The Impact of Reasoning Step Length on Large Language Models
Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du · 2024
- Light Hypernuclei Production in Au+Au Collisions at $\sqrt{s_{NN}}=$ 3 GeV within Thermodynamic Approach
M. Kozhevnikova, Yu. B. Ivanov · 2024
- Photonics for Sustainable Computing
Farbin Fayza, Satyavolu Papa Rao, Darius Bunandar, Udit Gupta, Ajay Joshi · 2024
- PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li · 2024
- I am a Strange Dataset: Metalinguistic Tests for Language Models
Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela · 2024
- Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati · 2024
- SOFIA/HAWC+ Far-Infrared Polarimetric Large-Area CMZ Exploration (FIREPLACE) Survey III: Full Survey Data Set
Dylan Paré, Natalie O. Butterfield, David T. Chuss, Jordan A. Guerra, Jeffrey I. Iuliano, Kaitlyn Karpovich, Mark R. Morris, Edward Wollack · 2024
- InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari · 2024
- Constructor Theory as Process Theory
Stefano Gogioso, Vincent Wang-Maścianica, Muhammad Hamza Waseem, Carlo Maria Scandolo, Bob Coecke · 2023
- Mathematical intuition, deep learning, and Robbins' problem
F. Thomas Bruss · 2023
- Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence
Taining Zhang, Adam Goldstein, Michael Levin · 2023
- Efficient LLM inference solution on Intel GPU
Hui Wu, Yi Gan, Feng Yuan, Jing Ma, Wei Zhu, Yutao Xu, Hong Zhu, Yuhua Zhu, Xiaoli Liu, Jinghui Gu, Peng Zhao · 2023
- Decoding Emotional Valence from Wearables: Can Our Data Reveal Our True Feelings?
Michal K. Grzeszczyk, Anna Lisowska, Arkadiusz Sitek, Aneta Lisowska · 2023
- X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
Simone Machetti, Pasquale Davide Schiavone, Thomas Christoph Müller, Miguel Peón-Quirós, David Atienza · 2024
- Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez · 2024
- REBUS: A Robust Evaluation Benchmark of Understanding Symbols
Andrew Gritsevskiy, Arjun Panickssery, Aaron Kirtland, Derik Kauffman, Hans Gundlach, Irina Gritsevskaya, Joe Cavanagh, Jonathan Chiang, Lydia La Roux, Michelle Hung · 2024
- The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
Matthew Renze, Erhan Guven · 2024
- Towards Conversational Diagnostic AI
Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle Barral, Katherine Chou, Greg S Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan · 2024
- A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico · 2024
- Using Large Language Models for Commit Message Generation: A Preliminary Study
Linghao Zhang, Jingshu Zhao, Chong Wang, Peng Liang · 2024
- Send Message to the Future? Blockchain-based Time Machines for Decentralized Reveal of Locked Information
Zhuolun Li, Srijoni Majumdar, Evangelos Pournaras · 2024
- Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno · 2024
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang · 2024
- Transformers are Multi-State RNNs
Matanel Oren, Michael Hassid, Nir Yarden, Yossi Adi, Roy Schwartz · 2024
- The possibility of making \$138,000 from shredded banknote pieces using computer vision
Chung To Kong · 2023
- QuasiNet: a neural network with trainable product layers
Kristína Malinovská, Slavomír Holenda, Ľudovít Malinovský · 2023
- Comparison of home detection algorithms using smartphone GPS data
Rajat Verma, Shagun Mittal, Zengxiang Lei, Xiaowei Chen, Satish V. Ukkusuri · 2023
- A Survey on Game Theory Optimal Poker
Prathamesh Sonawane, Arav Chheda · 2024
- Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie · 2024
- Qrlew: Rewriting SQL into Differentially Private SQL
Nicolas Grislain, Paul Roussel, Victoria de Sainte Agathe · 2024
- Mission: Impossible Language Models
Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, Christopher Potts · 2024
- Imaging Shapes of Atomic Nuclei in High-Energy Nuclear Collisions
STAR Collaboration · 2024
- When ChatGPT is gone: Creativity reverts and homogeneity persists
Qinghan Liu, Yiyong Zhou, Jihao Huang, Guiquan Li · 2024
- EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation
Maryam Nadeem, Raza Imam, Rouqaiah Al-Refai, Meriem Chkir, Mohamad Hoda, Abdulmotaleb El Saddik · 2024
- Knowledge Distillation of Black-Box Large Language Models
Hongzhan Chen, Ruijun Chen, Yuqi Yi, Xiaojun Quan, Chenliang Li, Ming Yan, Ji Zhang · 2024
- Evolving Code with A Large Language Model
Erik Hemberg, Stephen Moskal, Una-May O'Reilly · 2024
- Hebbian Learning from First Principles
Linda Albanese, Adriano Barra, Pierluigi Bianco, Fabrizio Durante, Diego Pallara · 2024
- The sharp growth rate in nonuniformly elliptic Schauder theory
Cristiana De Filippis, Giuseppe Mingione · 2024
- A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
Namjoon Suh, Guang Cheng · 2024
- Relativistic Quantum Fields Are Universal Entanglement Embezzlers
Lauritz van Luijk, Alexander Stottmeister, Reinhard F. Werner, Henrik Wilming · 2024
- CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin · 2024
- The Pitfalls of Defining Hallucination
Kees van Deemter · 2024