All paper pages
28734 retained paper pages. Page 190 of 288.
- A Survey of Resource-efficient LLM and Multimodal Foundation Models
Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu · 2024
- Towards a Transpiler for C/C++ to Safer Rust
Dhiren Tripuramallu, Swapnil Singh, Shrirang Deshmukh, Srinivas Pinisetty, Shinde Arjun Shivaji, Raja Balusamy, Ajaganna Bandeppa · 2024
- The Faiss library
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, Hervé Jégou · 2024
- RichWasm: Bringing Safe, Fine-Grained, Shared-Memory Interoperability Down to WebAssembly
Zoe Paraskevopoulou, Michael Fitzgibbons, Michelle Thalakottur, Noble Mushtak, Jose Sulaiman Mazur, Amal Ahmed · 2024
- Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening
Chengguang Gan, Qinghao Zhang, Tatsunori Mori · 2024
- RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Angels Balaguer, Vinamra Benara, Renato Luiz de Freitas Cunha, Roberto de M. Estevão Filho, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo O. Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra · 2024
- Large Interferometer For Exoplanets (LIFE): XII. The Detectability of Capstone Biosignatures in the Mid-Infrared -- Sniffing Exoplanetary Laughing Gas and Methylated Halogens
Daniel Angerhausen, Daria Pidhorodetska, Michaela Leung, Janina Hansen, Eleonora Alei, Felix Dannert, Jens Kammerer, Sascha P. Quanz, Edward W. Schwieterman · 2024
- Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Tal Ridnik, Dedy Kredo, Itamar Friedman · 2024
- The "Pac-Man'' Gripper: Tactile Sensing and Grasping through Thin-Shell Buckling
Kieran Barvenik, Zachary Coogan, Gabriele Librandi, Matteo Pezzulla, Eleonora Tubaldi · 2023
- Dynamic Voltage and Frequency Scaling for Intermittent Computing
Andrea Maioli, Kevin A. Quinones, Saad Ahmed, Muhammad H. Alizai, Luca Mottola · 2024
- Fixed Point Diffusion Models
Xingjian Bai, Luke Melas-Kyriazi · 2024
- File System Aging
Alex Conway, Ainesh Bakshi, Arghya Bhattacharya, Rory Bennett, Yizheng Jiao, Eric Knorr, Yang Zhan, Michael A. Bender, William Jannen, Rob Johnson, Bradley C. Kuszmaul, Donald E. Porter, Jun Yuan, Martin Farach-Colton · 2024
- Whispering Pixels: Exploiting Uninitialized Register Accesses in Modern GPUs
Frederik Dermot Pustelnik, Xhani Marvin Saß, Jean-Pierre Seifert · 2024
- ReFT: Reasoning with Reinforced Fine-Tuning
Trung Quoc Luong, Xinbo Zhang, Zhanming Jie, Peng Sun, Xiaoran Jin, Hang Li · 2024
- Asynchronous Local-SGD Training for Language Modeling
Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei A. Rusu, Jiajun Shen, Arthur Szlam, Marc'Aurelio Ranzato · 2024
- The Mikado Filesystem: An experimental RPC filesystem running over gRPC
John D. Dougrez-Lewis · 2024
- The generative quantum eigensolver (GQE) and its application for ground state search
Kouhei Nakaji, Lasse Bjørn Kristensen, Ryota Kemmoku, Jorge A. Campos-Gonzalez-Angulo, Mohammad Ghazi Vakili, Haozhe Huang, Mohsen Bagherimehrab, Christoph Gorgulla, FuTe Wong, Alex McCaskey, Jin-Sung Kim, Thien Nguyen, Pooja Rao, Qi Gao, Michihiko Sugawara, Naoki Yamamoto, Alán Aspuru-Guzik · 2024
- Large Language Models Are Neurosymbolic Reasoners
Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang · 2024
- Foundations of Vector Retrieval
Sebastian Bruch · 2024
- Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, Xinggang Wang · 2024
- Tumbug: A pictorial, universal knowledge representation method
Mark A. Atkins · 2023
- Quest for a solution to drift in phase change memory devices
Benedikt Kersting · 2024
- LoMA: Lossless Compressed Memory Attention
Yumeng Wang, Zhenyang Xiao · 2024
- A Universal System for OpenID Connect Sign-ins with Verifiable Credentials and Cross-Device Flow
Felix Hoops, Florian Matthes · 2024
- Is the Emergence of Life an Expected Phase Transition in the Evolving Universe?
Stuart Kauffman, Andrea Roli · 2024
- LDPC-cat codes for low-overhead quantum computing in 2D
Diego Ruiz, Jérémie Guillaud, Anthony Leverrier, Mazyar Mirrahimi, Christophe Vuillot · 2024
- Interferometric Single-Shot Parity Measurement in an InAs-Al Hybrid Device
Morteza Aghaee, Alejandro Alcaraz Ramirez, Zulfi Alam, Rizwan Ali, Mariusz Andrzejczuk, Andrey Antipov, Mikhail Astafev, Amin Barzegar, Bela Bauer, Jonathan Becker, Umesh Kumar Bhaskar, Alex Bocharov, Srini Boddapati, David Bohn, Jouri Bommer, Leo Bourdet, Arnaud Bousquet, Samuel Boutin, Lucas Casparis, Benjamin James Chapman, Sohail Chatoor, Anna Wulff Christensen, Cassandra Chua, Patrick Codd, William Cole, Paul Cooper, Fabiano Corsetti, Ajuan Cui, Paolo Dalpasso, Juan Pablo Dehollain, Gijs de Lange, Michiel de Moor, Andreas Ekefjärd, Tareq El Dandachi, Juan Carlos Estrada Saldaña, Saeed Fallahi, Luca Galletti, Geoff Gardner, Deshan Govender, Flavio Griggio, Ruben Grigoryan, Sebastian Grijalva, Sergei Gronin, Jan Gukelberger, Marzie Hamdast, Firas Hamze, Esben Bork Hansen, Sebastian Heedt, Zahra Heidarnia, Jesús Herranz Zamorano, Samantha Ho, Laurens Holgaard, John Hornibrook, Jinnapat Indrapiromkul, Henrik Ingerslev, Lovro Ivancevic, Thomas Jensen, Jaspreet Jhoja, Jeffrey Jones, Konstantin V. Kalashnikov, Ray Kallaher, Rachpon Kalra, Farhad Karimi, Torsten Karzig, Evelyn King, Maren Elisabeth Kloster, Christina Knapp, Dariusz Kocon, Jonne Koski, Pasi Kostamo, Mahesh Kumar, Tom Laeven, Thorvald Larsen, Jason Lee, Kyunghoon Lee, Grant Leum, Kongyi Li, Tyler Lindemann, Matthew Looij, Julie Love, Marijn Lucas, Roman Lutchyn, Morten Hannibal Madsen, Nash Madulid, Albert Malmros, Michael Manfra, Devashish Mantri, Signe Brynold Markussen, Esteban Martinez, Marco Mattila, Robert McNeil, Antonio B. Mei, Ryan V. Mishmash, Gopakumar Mohandas, Christian Mollgaard, Trevor Morgan, George Moussa, Chetan Nayak, Jens Hedegaard Nielsen, Jens Munk Nielsen, William Hvidtfelt Padkær Nielsen, Bas Nijholt, Mike Nystrom, Eoin O'Farrell, Thomas Ohki, Keita Otani, Brian Paquelet Wütz, Sebastian Pauka, Karl Petersson, Luca Petit, Dima Pikulin, Guen Prawiroatmodjo, Frank Preiss, Eduardo Puchol Morejon, Mohana Rajpalke, Craig Ranta, Katrine Rasmussen, David Razmadze, Outi Reentila, David J. Reilly, Yuan Ren, Ken Reneris, Richard Rouse, Ivan Sadovskyy, Lauri Sainiemi, Irene Sanlorenzo, Emma Schmidgall, Cristina Sfiligoj, Mustafeez Bashir Shah, Kevin Simoes, Shilpi Singh, Sarat Sinha, Thomas Soerensen, Patrick Sohr, Tomas Stankevic, Lieuwe Stek, Eric Stuppard, Henri Suominen, Judith Suter, Sam Teicher, Nivetha Thiyagarajah, Raj Tholapi, Mason Thomas, Emily Toomey, Josh Tracy, Michelle Turley, Shivendra Upadhyay, Ivan Urban, Kevin Van Hoogdalem, David J. Van Woerkom, Dmitrii V. Viazmitinov, Dominik Vogel, John Watson, Alex Webster, Joseph Weston, Georg W. Winkler, Di Xu, Chung Kai Yang, Emrah Yucelen, Roland Zeisel, Guoji Zheng, Justin Zilke · 2024
- DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving
Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang · 2024
- AI and the Opportunity for Shared Prosperity: Lessons from the History of Technology and the Economy
Guy Ben-Ishai, Jeff Dean, James Manyika, Ruth Porat, Hal Varian, Kent Walker · 2024
- Hijacking Attacks against Neural Networks by Analyzing Training Data
Yunjie Ge, Qian Wang, Huayang Huang, Qi Li, Cong Wang, Chao Shen, Lingchen Zhao, Peipei Jiang, Zheng Fang, Shenyi Zhang · 2024
- Gender Bias in Machine Translation and The Era of Large Language Models
Eva Vanmassenhove · 2024
- Self-Rewarding Language Models
Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston · 2024
- Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych · 2024
- SPARC galaxies prefer Dark Matter over MOND
Mariia Khelashvili, Anton Rudakovskyi, Sabine Hossenfelder · 2024
- ChatQA: Surpassing GPT-4 on Conversational QA and RAG
Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro · 2024
- Likelihood-ratio inference on differences in quantiles
Evan Miller · 2023
- Personality Trait Inference Via Mobile Phone Sensors: A Machine Learning Approach
Wun Yung Shaney Sze, Maryglen Pearl Herrero, Roger Garriga · 2024
- Excuse me, sir? Your language model is leaking (information)
Or Zamir · 2024
- Using LLM such as ChatGPT for Designing and Implementing a RISC Processor: Execution,Challenges and Limitations
Shadeeb Hossain, Aayush Gohil, Yizhou Wang · 2024
- Autobahn: Seamless high speed BFT
Neil Giridharan, Florian Suri-Payer, Ittai Abraham, Lorenzo Alvisi, Natacha Crooks · 2024
- Separating a particle's mass from its momentum
Mordecai Waegell, Jeff Tollaksen, Yakir Aharonov · 2024
- Exact analytical algorithm for solvent accessible surface area and derivatives in implicit solvent molecular simulations on GPUs
Xin Cao, Michelle H. Hummel, Yuzhang Wang, Carlos Simmerling, Evangelos A. Coutsias · 2024
- Dynamic Programming: Finite States
Thomas J. Sargent, John Stachurski · 2024
- Exploiting Kubernetes' Image Pull Implementation to Deny Node Availability
Luis Augusto Dias Knob, Matteo Franzil, Domenico Siracusa · 2024
- EFO: the Emotion Frame Ontology
Stefano De Giorgis, Aldo Gangemi · 2024
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao · 2024
- Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models
Mia Mohammad Imran · 2024
- Cactus Representation of Minimum Cuts: Derandomize and Speed up
Zhongtian He, Shang-En Huang, Thatchaphol Saranurak · 2024
- DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang · 2024
- Metacognition is all you need? Using Introspection in Generative Agents to Improve Goal-directed Behavior
Jason Toy, Josh MacAdam, Phil Tabor · 2024
- Smoothed asymptotics: from number theory to QFT
Antonio Padilla, Robert G. C. Smith · 2024
- PressProtect: Helping Journalists Navigate Social Media in the Face of Online Harassment
Catherine Han, Anne Li, Deepak Kumar, Zakir Durumeric · 2024
- Does Using ChatGPT Result in Human Cognitive Augmentation?
Ron Fulbright, Miranda Morrison · 2024
- PhotoBot: Reference-Guided Interactive Photography via Natural Language
Oliver Limoyo, Jimmy Li, Dmitriy Rivkin, Jonathan Kelly, Gregory Dudek · 2024
- Optimal Control of Malware Propagation in IoT Networks
Mousa Tayseer Jafar, Lu-Xing Yang, Gang Li, Xiaofan Yang · 2024
- Effects of Research Paper Promotion via ArXiv and X
Chhandak Bagchi, Eric Malmi, Przemyslaw Grabowicz · 2024
- The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
Lorenzo Cima, Amaury Trujillo, Marco Avvenuti, Stefano Cresci · 2024
- ENN's Roadmap for Proton-Boron Fusion Based on Spherical Torus
Min-sheng Liu, Hua-sheng Xie, Yu-min Wang, Jia-qi Dong, Kai-ming Feng, Xiang Gu, Xian-li Huang, Xin-chen Jiang, Ying-ying Li, Zhi Li, Bing Liu, Wen-jun Liu, Di Luo, Yueng-Kay Martin Peng, Yue-jiang Shi, Shao-dong Song, Xian-ming Song, Tian-tian Sun, Mu-zhi Tan, Xue-yun Wang, Yuan-ming Yang, Gang Yin, Han-yue Zhao, ENN fusion team · 2024
- Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Katherine Crowson, Stefan Andreas Baumann, Alex Birch, Tanishq Mathew Abraham, Daniel Z. Kaplan, Enrico Shippole · 2024
- In-context Learning with Retrieved Demonstrations for Language Models: A Survey
Man Luo, Xin Xu, Yue Liu, Panupong Pasupat, Mehran Kazemi · 2024
- SyzRetrospector: A Large-Scale Retrospective Study of Syzbot
Joseph Bursey, Ardalan Amiri Sani, Zhiyun Qian · 2024
- Entangled biphoton generation in myelin sheath
Zefei Liu, Yong-Cong Chen, Ping Ao · 2024
- Parametric Matrix Models
Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee · 2024
- zkLogin: Privacy-Preserving Blockchain Authentication with Existing Credentials
Foteini Baldimtsi, Konstantinos Kryptos Chalkias, Yan Ji, Jonas Lindstrøm, Deepak Maram, Ben Riva, Arnab Roy, Mahdi Sedaghat, Joy Wang · 2024
- Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu, Sanjay Jain, Mohan Kankanhalli · 2024
- Modular Monolith: Is This the Trend in Software Architecture?
Ruoyu Su, Xiaozhou Li · 2024
- PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety
Zaibin Zhang, Yongting Zhang, Lijun Li, Hongzhi Gao, Lijun Wang, Huchuan Lu, Feng Zhao, Yu Qiao, Jing Shao · 2024
- Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein · 2024
- Temperature as Joules per Bit
Charles Alexandre Bédard, Sophie Berthelette, Xavier Coiteux-Roy, Stefan Wolf · 2024
- OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
Peiqi Liu, Yaswanth Orru, Jay Vakil, Chris Paxton, Nur Muhammad Mahi Shafiullah, Lerrel Pinto · 2024
- Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg · 2024
- Large-scale Reinforcement Learning for Diffusion Models
Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk · 2024
- Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying · 2024
- A Closer Look in the Mirror: Reflections on the Matter/Dark Matter Coincidence
Arushi Bodas, Manuel A. Buen-Abad, Anson Hook, Raman Sundrum · 2024
- GRATH: Gradual Self-Truthifying for Large Language Models
Weixin Chen, Dawn Song, Bo Li · 2024
- Analyzing the Effectiveness of Large Language Models on Text-to-SQL Synthesis
Richard Roberson, Gowtham Kaki, Ashutosh Trivedi · 2024
- Convolutional Initialization for Data-Efficient Vision Transformers
Jianqiao Zheng, Xueqian Li, Simon Lucey · 2024
- Can Large Language Models Write Parallel Code?
Daniel Nichols, Joshua H. Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele · 2024
- Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition
Demiao Lin · 2024
- Lumiere: A Space-Time Diffusion Model for Video Generation
Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Guanghui Liu, Amit Raj, Yuanzhen Li, Michael Rubinstein, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri · 2024
- Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Mirac Suzgun, Adam Tauman Kalai · 2024
- No AI After Auschwitz? Bridging AI and Memory Ethics in the Context of Information Retrieval of Genocide-Related Information
Mykola Makhortykh · 2024
- Visibility into AI Agents
Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung · 2024
- Increasing, not Diminishing: Investigating the Returns of Highly Maintainable Code
Markus Borg, Ilyana Pruvost, Enys Mones, Adam Tornhill · 2024
- MambaByte: Token-free Selective State Space Model
Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush · 2024
- Conformal Prediction Sets Improve Human Decision Making
Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis · 2024
- AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems
Piyush Jha, Zhengyu Li, Zhengyang Lu, Raymond Zeng, Curtis Bright, Vijay Ganesh · 2024
- Position: AI/ML Influencers Have a Place in the Academic Process
Iain Xie Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang · 2024
- Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All
Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar · 2024
- Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities
Yuling Sun, Jiaju Chen, Bingsheng Yao, Jiali Liu, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He · 2024
- Game-Theoretic Cybersecurity: the Good, the Bad and the Ugly
Brandon Collins, Shouhuai Xu, Philip N. Brown · 2024
- Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face
Xinyu Yang, Weixin Liang, James Zou · 2024
- Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine
Elizaveta Kuznetsova, Mykola Makhortykh, Maryna Sydorova, Aleksandra Urman, Ilaria Vitulano, Martha Stolze · 2024
- A Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller, Mohammed Aldosari, Farah Saeed, Nasid Habib Barna, Subas Rana, I. Budak Arpinar, Ninghao Liu · 2024
- WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu · 2024
- A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools
Koen T. W. Teuwen · 2024
- Carry Your Fault: A Fault Propagation Attack on Side-Channel Protected LWE-based KEM
Suparna Kundu, Siddhartha Chowdhury, Sayandeep Saha, Angshuman Karmakar, Debdeep Mukhopadhyay, Ingrid Verbauwhede · 2024
- CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
Andrei Tomut, Saeed S. Jahromi, Abhijoy Sarkar, Uygar Kurt, Sukhbinder Singh, Faysal Ishtiaq, Cesar Muñoz, Prabdeep Singh Bajaj, Ali Elborady, Gianni del Bimbo, Mehrazin Alizadeh, David Montero, Pablo Martin-Ramiro, Muhammad Ibrahim, Oussama Tahiri Alaoui, John Malcolm, Samuel Mugel, Roman Orus · 2024
- FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design
Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song · 2024
- DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Y. Wu, Y. K. Li, Fuli Luo, Yingfei Xiong, Wenfeng Liang · 2024