All paper pages
28734 retained paper pages. Page 206 of 288.
- On the Impacts of Contexts on Repository-Level Code Generation
Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui · 2024
- A Critical Study of What Code-LLMs (Do Not) Learn
Abhinav Anand, Shweta Verma, Krishna Narasimhan, Mira Mezini · 2024
- DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, Dejian Yang, Peiyi Wang, Runxin Xu, Y. Wu, Yukun Li, Huazuo Gao, Shirong Ma, Wangding Zeng, Xiao Bi, Zihui Gu, Hanwei Xu, Damai Dai, Kai Dong, Liyue Zhang, Yishi Piao, Zhibin Gou, Zhenda Xie, Zhewen Hao, Bingxuan Wang, Junxiao Song, Deli Chen, Xin Xie, Kang Guan, Yuxiang You, Aixin Liu, Qiushi Du, Wenjun Gao, Xuan Lu, Qinyu Chen, Yaohui Wang, Chengqi Deng, Jiashi Li, Chenggang Zhao, Chong Ruan, Fuli Luo, Wenfeng Liang · 2024
- Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Robert Hönig, Javier Rando, Nicholas Carlini, Florian Tramèr · 2024
- $τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan · 2024
- Satyrn: A Platform for Analytics Augmented Generation
Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, Kristian J. Hammond · 2024
- Should AI Optimize Your Code? A Comparative Study of Classical Optimizing Compilers Versus Current Large Language Models
Miguel Romero Rosas, Miguel Torres Sanchez, Rudolf Eigenmann · 2024
- A two-minute burst of highly polarised radio emission originating from low Galactic latitude
Dougal Dobie, Andrew Zic, Lucy S. Oswald, Joshua Pritchard, Marcus E. Lower, Ziteng Wang, Hao Qiu, Natasha Hurley-Walker, Yuanming Wang, Emil Lenc, David L. Kaplan, Akash Anumarlapudi, Katie Auchettl, Matthew Bailes, Andrew D. Cameron, Jeffrey Cooke, Adam Deller, Laura N. Driessen, James Freeburn, Tara Murphy, Ryan M. Shannon, Adam J. Stewart · 2024
- Evolutionary Spiking Neural Networks: A Survey
Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng · 2024
- Measuring Psychological Depth in Language Models
Fabrice Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Yildiz, Miryung Kim, Amit Sahai, Nanyun Peng · 2024
- What is in the Chrome Web Store? Investigating Security-Noteworthy Browser Extensions
Sheryl Hsu, Manda Tran, Aurore Fass · 2024
- Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño, Javier Vales-Alonso · 2024
- Can Go AIs be adversarially robust?
Tom Tseng, Euan McLean, Kellin Pelrine, Tony T. Wang, Adam Gleave · 2024
- GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks
Ihor Stepanov, Mykhailo Shtopko · 2024
- Investigating the Effect of Display Refresh Rate on First-Person Shooting Games
Haoshen Qin, Zixian Zhu · 2024
- Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu · 2024
- LLMatDesign: Autonomous Materials Discovery with Large Language Models
Shuyi Jia, Chao Zhang, Victor Fung · 2024
- The Origin of Jupiter's Great Red Spot
Agustín Sánchez-Lavega, Enrique García-Melendo, Jon Legarreta, Arnau Miró, Manel Soria, Kevin Ahrens-Velásquez · 2024
- ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models
Hwiyeol Jo, Hyunwoo Lee, Kang Min Yoo, Taiwoo Park · 2024
- Locally distinguishing a maximally entangled basis using shared entanglement
Somshubhro Bandyopadhyay, Vincent Russo · 2024
- StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images
Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe · 2024
- Superfluid Stiffness and Flat-Band Superconductivity in Magic-Angle Graphene Probed by cQED
Miuko Tanaka, Joel Î-j. Wang, Thao H. Dinh, Daniel Rodan-Legrain, Sameia Zaman, Max Hays, Bharath Kannan, Aziza Almanakly, David K. Kim, Bethany M. Niedzielski, Kyle Serniak, Mollie E. Schwartz, Kenji Watanabe, Takashi Taniguchi, Jeffrey A. Grover, Terry P. Orlando, Simon Gustavsson, Pablo Jarillo-Herrero, William D. Oliver · 2024
- Superfluid stiffness of twisted multilayer graphene superconductors
Abhishek Banerjee, Zeyu Hao, Mary Kreidel, Patrick Ledwith, Isabelle Phinney, Jeong Min Park, Andrew M. Zimmerman, Kenji Watanabe, Takashi Taniguchi, Robert M Westervelt, Pablo Jarillo-Herrero, Pavel A. Volkov, Ashvin Vishwanath, Kin Chung Fong, Philip Kim · 2024
- Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Nahema Marchal, Rachel Xu, Rasmi Elasmar, Iason Gabriel, Beth Goldberg, William Isaac · 2024
- LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang · 2024
- Covariant quantum field theory of tachyons is unphysical
Krzysztof Jodłowski · 2024
- Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
Chaojie Wang, Yanchen Deng, Zhiyi Lyu, Liang Zeng, Jujie He, Shuicheng Yan, Bo An · 2024
- CodeRAG-Bench: Can Retrieval Augment Code Generation?
Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried · 2024
- Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)
Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan · 2024
- Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
Johannes Treutlein, Dami Choi, Jan Betley, Samuel Marks, Cem Anil, Roger Grosse, Owain Evans · 2024
- GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng · 2024
- OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Mehdi Fatemi, Ravid Shwartz-Ziv · 2024
- Exploring Design Choices for Building Language-Specific LLMs
Atula Tejaswi, Nilesh Gupta, Eunsol Choi · 2024
- Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
Taiming Lu, Muhan Gao, Kuai Yu, Adam Byerly, Daniel Khashabi · 2024
- Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu · 2024
- Grokking the Sequent Calculus (Functional Pearl)
David Binder, Marco Tzschentke, Marius Müller, Klaus Ostermann · 2024
- Basilisk: An End-to-End Open-Source Linux-Capable RISC-V SoC in 130nm CMOS
Paul Scheffler, Philippe Sauter, Thomas Benz, Frank K. Gürkaynak, Luca Benini · 2024
- Transmission Spectroscopy of the Habitable Zone Exoplanet LHS 1140 b with JWST/NIRISS
Charles Cadieux, René Doyon, Ryan J. MacDonald, Martin Turbet, Étienne Artigau, Olivia Lim, Michael Radica, Thomas J. Fauchez, Salma Salhi, Lisa Dang, Loïc Albert, Louis-Philippe Coulombe, Nicolas B. Cowan, David Lafrenière, Alexandrine L'Heureux, Caroline Piaulet, Björn Benneke, Ryan Cloutier, Benjamin Charnay, Neil J. Cook, Marylou Fournier-Tondreau, Mykhaylo Plotnykov, Diana Valencia · 2024
- Diverse beam search to find densest-known planar unit distance graphs
Peter Engel, Owen Hammond-Lee, Yiheng Su, Dániel Varga, Pál Zsámboki · 2024
- Sub-millisecond Entanglement and iSWAP Gate between Molecular Qubits
Lewis R. B. Picard, Annie J. Park, Gabriel E. Patenotte, Samuel Gebretsadkan, David Wellnitz, Ana Maria Rey, Kang-Kuen Ni · 2024
- RadEx: A Framework for Structured Information Extraction from Radiology Reports based on Large Language Models
Daniel Reichenpfader, Jonas Knupp, André Sander, Kerstin Denecke · 2024
- MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models
Wentian Wang, Sarthak Jain, Paul Kantor, Jacob Feldman, Lazaros Gallos, Hao Wang · 2024
- Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, Lyudmila Rvanova, Akim Tsvigun, Daniil Vasilev, Rui Xing, Abdelrahman Boda Sadallah, Kirill Grishchenkov, Sergey Petrakov, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov, Artem Shelmanov · 2024
- It is not "Bézout's identity"
Andrew Granville · 2024
- GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables
Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka · 2024
- Scaling Laws for Fact Memorization of Large Language Models
Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang, Xipeng Qiu · 2024
- What Matters in Transformers? Not All Attention is Needed
Shwai He, Guoheng Sun, Zheyu Shen, Ang Li · 2024
- Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
Jannik Kossen, Jiatong Han, Muhammed Razzak, Lisa Schut, Shreshth Malik, Yarin Gal · 2024
- Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov · 2024
- Relativistic Time Transformations Between the Solar System Barycenter, Earth, and Moon
Slava G. Turyshev, James G. Williams, Dale H. Boggs, Ryan S. Park · 2024
- Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan · 2024
- Confidence Regulation Neurons in Language Models
Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda · 2024
- Cascade Reward Sampling for Efficient Decoding-Time Alignment
Bolian Li, Yifan Wang, Anamika Lochab, Ananth Grama, Ruqi Zhang · 2024
- Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model
Sai Ganesh, Anupam Purwar, Gautam B · 2024
- Can the noble metals (Au, Ag and Cu) be superconductors?
Giovanni A. Ummarino, Alessio Zaccone · 2024
- Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
Peng Hu, Sizhe Liu, Changjiang Gao, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang · 2024
- Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
Markus Frohmann, Igor Sterner, Ivan Vulić, Benjamin Minixhofer, Markus Schedl · 2024
- WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé, Johan Ferret, Nino Vieillard, Robert Dadashi, Léonard Hussenot, Pierre-Louis Cedoz, Pier Giuseppe Sessa, Sertan Girgin, Arthur Douillard, Olivier Bachem · 2024
- RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale
Beck LaBash, August Rosedale, Alex Reents, Lucas Negritto, Colin Wiel · 2024
- From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaid Harchaoui · 2024
- Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Ziteng Wang, Rob Fergus, Yann LeCun, Saining Xie · 2024
- Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
Jesús Armenta-Segura, Grigori Sidorov · 2024
- Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen · 2024
- An Efficient NAS-based Approach for Handling Imbalanced Datasets
Zhiwei Yao · 2024
- Reducing the Memory Footprint of 3D Gaussian Splatting
Panagiotis Papantonakis, Georgios Kopanas, Bernhard Kerbl, Alexandre Lanvin, George Drettakis · 2024
- BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
Sebastian Dittert, Vincent Moens, Gianni De Fabritiis · 2024
- Indications of superconductivities in blend of variant apatite and covellite
Hongyang Wang, Yijing Zhao, Hao Wu, Ling Wang, Zhixing Wu, Zhihui Geng, Jiewen Xiao, Weiwei Xue, Shufeng Ye, Ning Chen, Xianfeng Qiao, Yao Yao · 2024
- LumberChunker: Long-Form Narrative Document Segmentation
André V. Duarte, João Marques, Miguel Graça, Miguel Freire, Lei Li, Arlindo L. Oliveira · 2024
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, Anton Lozhkov, Margaret Mitchell, Colin Raffel, Leandro Von Werra, Thomas Wolf · 2024
- Banishing LLM Hallucinations Requires Rethinking Generalization
Johnny Li, Saksham Consul, Eda Zhou, James Wong, Naila Farooqui, Yuxin Ye, Nithyashree Manohar, Zhuxiaona Wei, Tian Wu, Ben Echols, Sharon Zhou, Gregory Diamos · 2024
- ELIZA Reinterpreted: The world's first chatbot was not intended as a chatbot at all
Jeff Shrager · 2024
- Data curation via joint example selection further accelerates multimodal learning
Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Henaff · 2024
- LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
Elinor Poole-Dayan, Deb Roy, Jad Kabbara · 2024
- Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien, Jyothir S, Mohammad Aflah Khan, Jaydeep Borkar, Christopher A. Choquette-Choo, Jacob Ray Fuehne, Stella Biderman, Tracy Ke, Katherine Lee, Naomi Saphra · 2024
- Real-time Neural Woven Fabric Rendering
Xiang Chen, Lu Wang, Beibei Wang · 2024
- Can LLMs Generate Visualizations with Dataless Prompts?
Darius Coelho, Harshit Barot, Naitik Rathod, Klaus Mueller · 2024
- European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry
Krzysztof Kotowski, Christoph Haskamp, Jacek Andrzejewski, Bogdan Ruszczak, Jakub Nalepa, Daniel Lakey, Peter Collins, Aybike Kolmas, Mauro Bartesaghi, Jose Martinez-Heras, Gabriele De Canio · 2024
- X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K. Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin · 2024
- On the Evaluation of Large Language Models in Unit Test Generation
Lin Yang, Chen Yang, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, Junjie Chen · 2024
- On the relative packing densities of pistachios and pistachio shells
Ruben Zakine, Michael Benzaquen · 2024
- LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, André F. T. Martins, Philipp Mondorf, Vera Neplenbroek, Sandro Pezzelle, Barbara Plank, David Schlangen, Alessandro Suglia, Aditya K Surikuchi, Ece Takmaz, Alberto Testoni · 2024
- Mental Modeling of Reinforcement Learning Agents by Language Models
Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter · 2024
- CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen · 2024
- RouteLLM: Learning to Route LLMs with Preference Data
Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M Waleed Kadous, Ion Stoica · 2024
- Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship
Zachary R. Baker, Zarif L. Azher · 2024
- Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution
Rahul Bera, Adithya Ranganathan, Joydeep Rakshit, Sujit Mahto, Anant V. Nori, Jayesh Gaur, Ataberk Olgun, Konstantinos Kanellopoulos, Mohammad Sadrosadati, Sreenivas Subramoney, Onur Mutlu · 2024
- Leapfrogging Sycamore: Harnessing 1432 GPUs for 7$\times$ Faster Quantum Random Circuit Sampling
Xian-He Zhao, Han-Sen Zhong, Feng Pan, Zi-Han Chen, Rong Fu, Zhongling Su, Xiaotong Xie, Chaoxing Zhao, Pan Zhang, Wanli Ouyang, Chao-Yang Lu, Jian-Wei Pan, Ming-Cheng Chen · 2024
- Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
Blaise Agüera y Arcas, Jyrki Alakuijala, James Evans, Ben Laurie, Alexander Mordvintsev, Eyvind Niklasson, Ettore Randazzo, Luca Versari · 2024
- T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
Björn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach · 2024
- Wikipedia Citations: Reproducible Citation Extraction from Multilingual Wikipedia
Natallia Kokash, Giovanni Colavizza · 2024
- From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos · 2024
- Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Core Francisco Park, Maya Okawa, Andrew Lee, Hidenori Tanaka, Ekdeep Singh Lubana · 2024
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko · 2024
- The Remarkable Robustness of LLMs: Stages of Inference?
Vedang Lad, Jin Hwa Lee, Wes Gurnee, Max Tegmark · 2024
- Can Large Language Models Generate High-quality Patent Claims?
Lekang Jiang, Caiqi Zhang, Pascal A Scherz, Stephan Goetz · 2024
- LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
Shouchang Guo, Sonam Damani, Keng-hao Chang · 2024
- Where Is Self-admitted Code Generated by Large Language Models on GitHub?
Xiao Yu, Lei Liu, Xing Hu, Jin Liu, Xin Xia · 2024
- Reranking Social Media Feeds: A Practical Guide for Field Experiments
Tiziano Piccardi, Martin Saveski, Chenyan Jia, Jeffrey Hancock, Jeanne L. Tsai, Michael S. Bernstein · 2024
- Scaling Synthetic Data Creation with 1,000,000,000 Personas
Tao Ge, Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, Dong Yu · 2024
- Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Ruoyu Qin, Zheming Li, Weiran He, Mingxing Zhang, Yongwei Wu, Weimin Zheng, Xinran Xu · 2024