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28734 retained paper pages. Page 192 of 288.
- S2malloc: Statistically Secure Allocator for Use-After-Free Protection And More
Ruizhe Wang, Meng Xu, N. Asokan · 2024
- Large language models that replace human participants can harmfully misportray and flatten identity groups
Angelina Wang, Jamie Morgenstern, John P. Dickerson · 2024
- How well do LLMs cite relevant medical references? An evaluation framework and analyses
Kevin Wu, Eric Wu, Ally Cassasola, Angela Zhang, Kevin Wei, Teresa Nguyen, Sith Riantawan, Patricia Shi Riantawan, Daniel E. Ho, James Zou · 2024
- Do Moral Judgment and Reasoning Capability of LLMs Change with Language? A Study using the Multilingual Defining Issues Test
Aditi Khandelwal, Utkarsh Agarwal, Kumar Tanmay, Monojit Choudhury · 2024
- General Relativistic Hydrodynamics in Discrete Spacetime: Perfect Fluid Accretion onto Static and Spinning Black Holes
Jonathan Gorard · 2024
- Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
Fangzhao Zhang, Mert Pilanci · 2024
- Multi-modal Causal Structure Learning and Root Cause Analysis
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen · 2024
- Breaking MLPerf Training: A Case Study on Optimizing BERT
Yongdeok Kim, Jaehyung Ahn, Myeongwoo Kim, Changin Choi, Heejae Kim, Narankhuu Tuvshinjargal, Seungwon Lee, Yanzi Zhang, Yuan Pei, Xiongzhan Linghu, Jingkun Ma, Lin Chen, Yuehua Dai, Sungjoo Yoo · 2024
- PoCo: Policy Composition from and for Heterogeneous Robot Learning
Lirui Wang, Jialiang Zhao, Yilun Du, Edward H. Adelson, Russ Tedrake · 2024
- Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo · 2024
- DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret, Martin Jaggi · 2024
- Practical Rateless Set Reconciliation
Lei Yang, Yossi Gilad, Mohammad Alizadeh · 2024
- Verifiable evaluations of machine learning models using zkSNARKs
Tobin South, Alexander Camuto, Shrey Jain, Shayla Nguyen, Robert Mahari, Christian Paquin, Jason Morton, Alex 'Sandy' Pentland · 2024
- Understanding the planning of LLM agents: A survey
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen · 2024
- PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Mennatallah El-Assady, Giovanni Sansavini · 2024
- GitBug-Java: A Reproducible Benchmark of Recent Java Bugs
André Silva, Nuno Saavedra, Martin Monperrus · 2024
- Superconducting Qubits Above 20 GHz Operating over 200 mK
Alexander Anferov, Shannon P. Harvey, Fanghui Wan, Jonathan Simon, David I. Schuster · 2024
- Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian
Darija Medvecki, Bojana Bašaragin, Adela Ljajić, Nikola Milošević · 2024
- Is Mamba Capable of In-Context Learning?
Riccardo Grazzi, Julien Siems, Simon Schrodi, Thomas Brox, Frank Hutter · 2024
- Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference
Siddhartha Dalal, Vishal Misra · 2024
- Bluesky and the AT Protocol: Usable Decentralized Social Media
Martin Kleppmann, Paul Frazee, Jake Gold, Jay Graber, Daniel Holmgren, Devin Ivy, Jeromy Johnson, Bryan Newbold, Jaz Volpert · 2024
- Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi · 2024
- Training-Free Consistent Text-to-Image Generation
Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon · 2024
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo · 2024
- Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models
Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang · 2024
- Visual Enumeration Remains Challenging for Multimodal Generative AI
Alberto Testolin, Kuinan Hou, Marco Zorzi · 2024
- Exploring Prime Number Classification: Achieving High Recall Rate and Rapid Convergence with Sparse Encoding
Serin Lee, S. Kim · 2024
- The Ultraviolet myth
Nils-Erik Bomark, Reidun Renstrøm · 2024
- A Fuzzy Approach to Record Linkages
Pratik K. Biswas · 2024
- Neural networks for abstraction and reasoning: Towards broad generalization in machines
Mikel Bober-Irizar, Soumya Banerjee · 2024
- Distinguishing the Knowable from the Unknowable with Language Models
Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman · 2024
- Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning
Zihan Ding, Amy Zhang, Yuandong Tian, Qinqing Zheng · 2024
- Do we Owe our Existence to Gravitational Waves?
John Ellis, Brian D. Fields, Rebecca Surman · 2024
- Self-Discover: Large Language Models Self-Compose Reasoning Structures
Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng · 2024
- MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski · 2024
- A phase transition between positional and semantic learning in a solvable model of dot-product attention
Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová · 2024
- Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondřej Dušek · 2024
- Measuring Implicit Bias in Explicitly Unbiased Large Language Models
Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths · 2024
- Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos · 2024
- HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, Dan Hendrycks · 2024
- AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
Yu Du, Fangyun Wei, Hongyang Zhang · 2024
- BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi · 2024
- Training Language Models to Generate Text with Citations via Fine-grained Rewards
Chengyu Huang, Zeqiu Wu, Yushi Hu, Wenya Wang · 2024
- Personality Trait Recognition using ECG Spectrograms and Deep Learning
Muhammad Mohsin Altaf, Saadat Ullah Khan, Muhammad Majd, Syed Muhammad Anwar · 2024
- Assured LLM-Based Software Engineering
Nadia Alshahwan, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, Eddy Wang · 2024
- QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
Albert Tseng, Jerry Chee, Qingyao Sun, Volodymyr Kuleshov, Christopher De Sa · 2024
- Ten Hard Problems in Artificial Intelligence We Must Get Right
Gavin Leech, Simson Garfinkel, Misha Yagudin, Alexander Briand, Aleksandr Zhuravlev · 2024
- Amortized Planning with Large-Scale Transformers: A Case Study on Chess
Anian Ruoss, Grégoire Delétang, Sourabh Medapati, Jordi Grau-Moya, Li Kevin Wenliang, Elliot Catt, John Reid, Cannada A. Lewis, Joel Veness, Tim Genewein · 2024
- Tactile-based Object Retrieval From Granular Media
Jingxi Xu, Yinsen Jia, Dongxiao Yang, Patrick Meng, Xinyue Zhu, Zihan Guo, Shuran Song, Matei Ciocarlie · 2024
- Google Scholar is manipulatable
Hazem Ibrahim, Fengyuan Liu, Yasir Zaki, Talal Rahwan · 2024
- ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Gilles Baechler, Srinivas Sunkara, Maria Wang, Fedir Zubach, Hassan Mansoor, Vincent Etter, Victor Cărbune, Jason Lin, Jindong Chen, Abhanshu Sharma · 2024
- InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun · 2024
- Token vs Equity for Startup Financing
Guangye Cao · 2024
- Direct Language Model Alignment from Online AI Feedback
Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Rame, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel · 2024
- Mesh-based Gaussian Splatting for Real-time Large-scale Deformation
Lin Gao, Jie Yang, Bo-Tao Zhang, Jia-Mu Sun, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai · 2024
- Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, CJ Carr, Josiah Taylor, Scott H. Hawley, Jordi Pons · 2024
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion · 2024
- The possibility for panspermia in the galaxy by means of planetary dust grains
Z. N. Osmanov · 2024
- Designing three-way entangled and nonlocal two-way entangled single particle states via alternate quantum walks
Dinesh Kumar Panda, Colin Benjamin · 2024
- Hydragen: High-Throughput LLM Inference with Shared Prefixes
Jordan Juravsky, Bradley Brown, Ryan Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini · 2024
- A Closer Look at the Limitations of Instruction Tuning
Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S, Deepali Aneja, Zeyu Jin, Ramani Duraiswami, Dinesh Manocha · 2024
- More Agents Is All You Need
Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye · 2024
- Personalized Language Modeling from Personalized Human Feedback
Xinyu Li, Ruiyang Zhou, Zachary C. Lipton, Liu Leqi · 2024
- LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K
Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, Yu Wang · 2024
- The Effect of Sampling Temperature on Problem Solving in Large Language Models
Matthew Renze, Erhan Guven · 2024
- Universal Neural Functionals
Allan Zhou, Chelsea Finn, James Harrison · 2024
- IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation
Yuyang Rong, Zhanghan Yu, Zhenkai Weng, Stephen Neuendorffer, Hao Chen · 2024
- In-Context Principle Learning from Mistakes
Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon · 2024
- Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Steven Kolawole, Lucio Dery, Jean-François Kagy, Virginia Smith, Graham Neubig, Ameet Talwalkar · 2024
- Neural Circuit Diagrams: Robust Diagrams for the Communication, Implementation, and Analysis of Deep Learning Architectures
Vincent Abbott · 2024
- Buffer Overflow in Mixture of Experts
Jamie Hayes, Ilia Shumailov, Itay Yona · 2024
- The Impact of AI Tool on Engineering at ANZ Bank An Empirical Study on GitHub Copilot within Corporate Environment
Sayan Chatterjee, Ching Louis Liu, Gareth Rowland, Tim Hogarth · 2024
- JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang · 2024
- Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen · 2024
- An Empirical Analysis of the Nostr Social Network: Decentralization, Availability, and Replication Overhead
Yiluo Wei, Gareth Tyson · 2024
- Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang · 2024
- How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
Federico Bianchi, Patrick John Chia, Mert Yuksekgonul, Jacopo Tagliabue, Dan Jurafsky, James Zou · 2024
- Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking
Nikhil Sharma, Q. Vera Liao, Ziang Xiao · 2024
- An Interactive Agent Foundation Model
Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley Llorens, Hoi Vo, Katsu Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang · 2024
- Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Korpeoglu, Kannan Achan · 2024
- A Survey on Transformer Compression
Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao · 2024
- Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha · 2024
- Stringent Tests of Lorentz Invariance Violation from LHAASO Observations of GRB 221009A
The LHAASO Collaboration, Zhen Cao, F. Aharonian, Axikegu, Y. X. Bai, Y. W. Bao, D. Bastieri, X. J. Bi, Y. J. Bi, W. Bian, A. V. Bukevich, Q. Cao, W. Y. Cao, Zhe Cao, J. Chang, J. F. Chang, A. M. Chen, E. S. Chen, H. X. Chen, Liang Chen, Lin Chen, Long Chen, M. J. Chen, M. L. Chen, Q. H. Chen, S. Chen, S. H. Chen, S. Z. Chen, T. L. Chen, Y. Chen, N. Cheng, Y. D. Cheng, M. Y. Cui, S. W. Cui, X. H. Cui, Y. D. Cui, B. Z. Dai, H. L. Dai, Z. G. Dai, Danzengluobu, X. Q. Dong, K. K. Duan, J. H. Fan, Y. Z. Fan, J. Fang, J. H. Fang, K. Fang, C. F. Feng, H. Feng, L. Feng, S. H. Feng, X. T. Feng, Y. Feng, Y. L. Feng, S. Gabici, B. Gao, C. D. Gao, Q. Gao, W. Gao, W. K. Gao, M. M. Ge, L. S. Geng, G. Giacinti, G. H. Gong, Q. B. Gou, M. H. Gu, F. L. Guo, X. L. Guo, Y. Q. Guo, Y. Y. Guo, Y. A. Han, M. Hasan, H. H. He, H. N. He, J. Y. He, Y. He, Y. K. Hor, B. W. Hou, C. Hou, X. Hou, H. B. Hu, Q. Hu, S. C. Hu, D. H. Huang, T. Q. Huang, W. J. Huang, X. T. Huang, X. Y. Huang, Y. Huang, X. L. Ji, H. Y. Jia, K. Jia, K. Jiang, X. W. Jiang, Z. J. Jiang, M. Jin, M. M. Kang, I. Karpikov, D. Kuleshov, K. Kurinov, B. B. Li, C. M. Li, Cheng Li, Cong Li, D. Li, F. Li, H. B. Li, H. C. Li, Jian Li, Jie Li, K. Li, S. D. Li, W. L. Li, X. R. Li, Xin Li, Y. Z. Li, Zhe Li, Zhuo Li, E. W. Liang, Y. F. Liang, S. J. Lin, B. Liu, C. Liu, D. Liu, D. B. Liu, H. Liu, H. D. Liu, J. Liu, J. L. Liu, M. Y. Liu, R. Y. Liu, S. M. Liu, W. Liu, Y. Liu, Y. N. Liu, Q. Luo, Y. Luo, H. K. Lv, B. Q. Ma, L. L. Ma, X. H. Ma, J. R. Mao, Z. Min, W. Mitthumsiri, H. J. Mu, Y. C. Nan, A. Neronov, L. J. Ou, P. Pattarakijwanich, Z. Y. Pei, J. C. Qi, M. Y. Qi, B. Q. Qiao, J. J. Qin, A. Raza, D. Ruffolo, A. Sáiz, M. Saeed, D. Semikoz, L. Shao, O. Shchegolev, X. D. Sheng, F. W. Shu, H. C. Song, Yu. V. Stenkin, V. Stepanov, Y. Su, D. X. Sun, Q. N. Sun, X. N. Sun, Z. B. Sun, J. Takata, P. H. T. Tam, Q. W. Tang, R. Tang, Z. B. Tang, W. W. Tian, C. Wang, C. B. Wang, G. W. Wang, H. G. Wang, H. H. Wang, J. C. Wang, Kai Wang, L. P. Wang, L. Y. Wang, P. H. Wang, R. Wang, W. Wang, X. G. Wang, X. Y. Wang, Y. Wang, Y. D. Wang, Y. J. Wang, Z. H. Wang, Z. X. Wang, Zhen Wang, Zheng Wang, D. M. Wei, J. J. Wei, Y. J. Wei, T. Wen, C. Y. Wu, H. R. Wu, Q. W. Wu, S. Wu, X. F. Wu, Y. S. Wu, S. Q. Xi, J. Xia, G. M. Xiang, D. X. Xiao, G. Xiao, Y. L. Xin, Y. Xing, D. R. Xiong, Z. Xiong, D. L. Xu, R. F. Xu, R. X. Xu, W. L. Xu, L. Xue, D. H. Yan, J. Z. Yan, T. Yan, C. W. Yang, C. Y. Yang, F. Yang, F. F. Yang, L. L. Yang, M. J. Yang, R. Z. Yang, W. X. Yang, Y. H. Yao, Z. G. Yao, L. Q. Yin, N. Yin, X. H. You, Z. Y. You, Y. H. Yu, Q. Yuan, H. Yue, H. D. Zeng, T. X. Zeng, W. Zeng, M. Zha, B. B. Zhang, F. Zhang, H. Zhang, H. M. Zhang, H. Y. Zhang, J. L. Zhang, Li Zhang, P. F. Zhang, P. P. Zhang, R. Zhang, S. B. Zhang, S. R. Zhang, S. S. Zhang, X. Zhang, X. P. Zhang, Y. F. Zhang, Yi Zhang, Yong Zhang, B. Zhao, J. Zhao, L. Zhao, L. Z. Zhao, S. P. Zhao, X. H. Zhao, F. Zheng, W. J. Zhong, B. Zhou, H. Zhou, J. N. Zhou, M. Zhou, P. Zhou, R. Zhou, X. X. Zhou, B. Y. Zhu, C. G. Zhu, F. R. Zhu, H. Zhu, K. J. Zhu, Y. C. Zou, X. Zuo · 2024
- Keyframer: Empowering Animation Design using Large Language Models
Tiffany Tseng, Ruijia Cheng, Jeffrey Nichols · 2024
- The boundary of neural network trainability is fractal
Jascha Sohl-Dickstein · 2024
- Large Language Models: A Survey
Shervin Minaee, Tomas Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao · 2024
- An experimental study: RF Fingerprinting of Bluetooth devices
Artis Rušiņš, Krišjānis Nesenbergs, Deniss Tiščenko, Pēteris Paikens · 2024
- SAE: Single Architecture Ensemble Neural Networks
Martin Ferianc, Hongxiang Fan, Miguel Rodrigues · 2024
- Hamiltonicity of expanders: optimal bounds and applications
Nemanja Draganić, Richard Montgomery, David Munhá Correia, Alexey Pokrovskiy, Benny Sudakov · 2024
- LLM Agents can Autonomously Hack Websites
Richard Fang, Rohan Bindu, Akul Gupta, Qiusi Zhan, Daniel Kang · 2024
- A $1.9\,M_{\odot}$ neutron star candidate in a 2-year orbit
Kareem El-Badry, Joshua D. Simon, Henrique Reggiani, Hans-Walter Rix, David W. Latham, Allyson Bieryla, Lars A. Buchhave, Sahar Shahaf, Tsevi Mazeh, Sukanya Chakrabarti, Puragra Guhathakurta, Ilya V. Ilyin, Thomas M. Tauris · 2024
- Twenty Constructionist Things to Do with Artificial Intelligence and Machine Learning
Yasmin Kafai, Luis Morales-Navarro · 2024
- What We Know About Using Non-Engagement Signals in Content Ranking
Tom Cunningham, Sana Pandey, Leif Sigerson, Jonathan Stray, Jeff Allen, Bonnie Barrilleaux, Ravi Iyer, Smitha Milli, Mohit Kothari, Behnam Rezaei · 2024
- Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces
Claudionor N. Coelho, Hanchen Xiong, Tushar Karayil, Sree Koratala, Rex Shang, Jacob Bollinger, Mohamed Shabar, Syam Nair · 2024
- GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang · 2024
- Antagonistic AI
Alice Cai, Ian Arawjo, Elena L. Glassman · 2024
- The I/O Complexity of Attention, or How Optimal is Flash Attention?
Barna Saha, Christopher Ye · 2024
- A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?
Nathan I. N. Henry, Mangor Pedersen, Matt Williams, Jamin L. B. Martin, Liesje Donkin · 2024
- Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H. S. Torr, Lewis Hammond, Christian Schroeder de Witt · 2024
- A Big Ring on the Sky
Alexia M. Lopez, Roger G. Clowes, Gerard M. Williger · 2024