All paper pages
28734 retained paper pages. Page 205 of 288.
- Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters
Yixin Song, Haotong Xie, Zhengyan Zhang, Bo Wen, Li Ma, Zeyu Mi, Haibo Chen · 2024
- Three super-Earths and a possible water world from TESS and ESPRESSO
M. J. Hobson, F. Bouchy, B. Lavie, C. Lovis, V. Adibekyan, C. Allende Prieto, Y. Alibert, S. C. C. Barros, A. Castro-González, S. Cristiani, V. D'Odorico, M. Damasso, P. Di Marcantonio, X. Dumusque, D. Ehrenreich, P. Figueira, R. Génova Santos, J. I. González Hernández, J. Lillo-Box, G. Lo Curto, C. J. A. P. Martins, A. Mehner, G. Micela, P. Molaro, N. J. Nunes, E. Palle, F. Pepe, R. Rebolo, J. Rodrigues, N. Santos, S. G. Sousa, A. Sozzetti, A. Suárez Mascareño, H. M. Tabernero, S. Udry, M. -R. Zapatero Osorio, D. J. Armstrong, D. R. Ciardi, K. A. Collins, K. I. Collins, M. Everett, D. Gandolfi, S. B. Howell, J. M. Jenkins, J. Kielkopf, J. H. Livingston, M. B. Lund, I. Mireles, G. R. Ricker, R. P. Schwarz, S. Seager, T. -G. Tan, E. B. Ting, J. N. Winn · 2024
- PowerInfer-2: Fast Large Language Model Inference on a Smartphone
Zhenliang Xue, Yixin Song, Zeyu Mi, Xinrui Zheng, Yubin Xia, Haibo Chen · 2024
- How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad
Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi · 2024
- Towards a Personal Health Large Language Model
Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Greg S. Corrado, Shwetak Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean · 2024
- Can Language Models Serve as Text-Based World Simulators?
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter Jansen · 2024
- Continuum Attention for Neural Operators
Edoardo Calvello, Nikola B. Kovachki, Matthew E. Levine, Andrew M. Stuart · 2024
- UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor
Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Nick Craswell, Jimmy Lin · 2024
- Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Peize Sun, Yi Jiang, Shoufa Chen, Shilong Zhang, Bingyue Peng, Ping Luo, Zehuan Yuan · 2024
- An Evaluation Benchmark for Autoformalization in Lean4
Aryan Gulati, Devanshu Ladsaria, Shubhra Mishra, Jasdeep Sidhu, Brando Miranda · 2024
- Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
Shuqi Liu, Bowei He, Linqi Song · 2024
- Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti · 2024
- Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Meiqi Guo, Harsh Lara, Yunxuan Li, Lei Shu, Yun Zhu, Lei Meng, Jiao Sun, Abhinav Rastogi · 2024
- The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Hoyle, Philip Resnik · 2024
- TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
Jonathan Citrin, Ian Goodfellow, Akhil Raju, Jeremy Chen, Jonas Degrave, Craig Donner, Federico Felici, Philippe Hamel, Andrea Huber, Dmitry Nikulin, David Pfau, Brendan Tracey, Martin Riedmiller, Pushmeet Kohli · 2024
- Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications
Junlin Wang, Tianyi Yang, Roy Xie, Bhuwan Dhingra · 2024
- Wally: Batched Private Nearest Neighbor Search at Scale
Hilal Asi, Fabian Boemer, Nicholas Genise, Muhammad Haris Mughees, Tabitha Ogilvie, Rehan Rishi, Kunal Talwar, Karl Tarbe, Akshay Wadia, Ruiyu Zhu, Marco Zuliani · 2024
- A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Xiaoyu Xu, Xiaobao Wu, Jie Fu, Yichao Feng, Fengjun Pan, Luu Anh Tuan · 2024
- Delving into LLM-assisted writing in biomedical publications through excess vocabulary
Dmitry Kobak, Rita González-Márquez, Emőke-Ágnes Horvát, Jan Lause · 2024
- Is Stateful Fuzzing Really Challenging?
Cristian Daniele · 2024
- The Semantics of Effects: Centrality, Quantum Control and Reversible Recursion
Louis Lemonnier · 2024
- On Kernel's Safety in the Spectre Era (Extended Version)
Davide Davoli, Martin Avanzini, Tamara Rezk · 2024
- Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
Di Zhang, Xiaoshui Huang, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang · 2024
- TextGrad: Automatic "Differentiation" via Text
Mert Yuksekgonul, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang, Carlos Guestrin, James Zou · 2024
- Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
Yunzhen Feng, Elvis Dohmatob, Pu Yang, Francois Charton, Julia Kempe · 2024
- Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen · 2024
- Simple and Effective Masked Diffusion Language Models
Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov · 2024
- Zero-shot Image Editing with Reference Imitation
Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao · 2024
- An Image is Worth 32 Tokens for Reconstruction and Generation
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen · 2024
- Inference Acceleration for Large Language Models on CPUs
Ditto PS, Jithin VG, Adarsh MS · 2024
- When is an Embedding Model More Promising than Another?
Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida · 2024
- Progress Towards Decoding Visual Imagery via fNIRS
Michel Adamic, Wellington Avelino, Anna Brandenberger, Bryan Chiang, Hunter Davis, Stephen Fay, Andrew Gregory, Aayush Gupta, Raphael Hotter, Grace Jiang, Fiona Leng, Stephen Polcyn, Thomas Ribeiro, Paul Scotti, Michelle Wang, Marley Xiong, Jonathan Xu · 2024
- LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
Hongxiang Zhang, Yuyang Rong, Yifeng He, Hao Chen · 2024
- Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge
Lin Shi, Chiyu Ma, Wenhua Liang, Xingjian Diao, Weicheng Ma, Soroush Vosoughi · 2024
- An Empirical Study of Mamba-based Language Models
Roger Waleffe, Wonmin Byeon, Duncan Riach, Brandon Norick, Vijay Korthikanti, Tri Dao, Albert Gu, Ali Hatamizadeh, Sudhakar Singh, Deepak Narayanan, Garvit Kulshreshtha, Vartika Singh, Jared Casper, Jan Kautz, Mohammad Shoeybi, Bryan Catanzaro · 2024
- Upper bounds on the highest phonon frequency and superconducting temperature from fundamental physical constants
K. Trachenko, B. Monserrat, M. Hutcheon, C. J. Pickard · 2024
- Is Programming by Example solved by LLMs?
Wen-Ding Li, Kevin Ellis · 2024
- Doing Battle with the Sun: Lessons From LEO and Operating a Satellite Constellation in the Elevated Atmospheric Drag Environment of Solar Cycle 25
W. Scott Shambaugh · 2024
- Large Language Models Must Be Taught to Know What They Don't Know
Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson · 2024
- Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference
Christopher Wolters, Xiaoxuan Yang, Ulf Schlichtmann, Toyotaro Suzumura · 2024
- Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob Foerster, Mihaela van der Schaar, Robert Tjarko Lange · 2024
- Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin · 2024
- What If We Recaption Billions of Web Images with LLaMA-3?
Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie · 2024
- Large Scale Multi-GPU Based Parallel Traffic Simulation for Accelerated Traffic Assignment and Propagation
Xuan Jiang, Raja Sengupta, James Demmel, Samuel Williams · 2024
- Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin · 2024
- Satellite Drag Analysis During the May 2024 Gannon Geomagnetic Storm
William E. Parker, Richard Linares · 2024
- A Sublinear Algorithm for Approximate Shortest Paths in Large Networks
Sabyasachi Basu, Nadia Kōshima, Talya Eden, Omri Ben-Eliezer, C. Seshadhri · 2024
- TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Juhee Kim, Jinbum Park, Sihyeon Roh, Jaeyoung Chung, Youngjoo Lee, Taesoo Kim, Byoungyoung Lee · 2024
- StreamBench: Towards Benchmarking Continuous Improvement of Language Agents
Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee · 2024
- LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions
Andrew Hundt, Rumaisa Azeem, Masoumeh Mansouri, Martim Brandão · 2024
- Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies
Johannes Pekkilä, Oskar Lappi, Fredrik Robertsén, Maarit J. Korpi-Lagg · 2024
- Step-by-Step Diffusion: An Elementary Tutorial
Preetum Nakkiran, Arwen Bradley, Hattie Zhou, Madhu Advani · 2024
- Reducing the Space Used by the Sieve of Eratosthenes When Factoring
Samuel Hartman, Jonathan P. Sorenson · 2024
- Python-based DSL for generating Verilog model of Synchronous Digital Circuits
Mandar Datar, Dhruva S. Hegde, Vendra Durga Prasad, Manish Prajapati, Neralla Manikanta, Devansh Gupta, Janampalli Pavanija, Pratyush Pare, Akash, Shivam Gupta, Sachin B. Patkar · 2024
- OpenVLA: An Open-Source Vision-Language-Action Model
Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn · 2024
- Transformers meet Neural Algorithmic Reasoners
Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković · 2024
- Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter · 2024
- Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao · 2024
- Updating CLIP to Prefer Descriptions Over Captions
Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger · 2024
- Newswire: A Large-Scale Structured Database of a Century of Historical News
Emily Silcock, Abhishek Arora, Luca D'Amico-Wong, Melissa Dell · 2024
- Report on the 61st Annual International Mathematical Olympiad
Bela Bajnok, Evan Chen · 2024
- Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos
Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang · 2024
- DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed · 2024
- SquirrelFS: using the Rust compiler to check file-system crash consistency
Hayley LeBlanc, Nathan Taylor, James Bornholt, Vijay Chidambaram · 2024
- Indefinitely Flat Circular Velocities and the Baryonic Tully-Fisher Relation from Weak Lensing
Tobias Mistele, Stacy McGaugh, Federico Lelli, James Schombert, Pengfei Li · 2024
- Physical networks become what they learn
Menachem Stern, Marcelo Guzman, Felipe Martins, Andrea J Liu, Vijay Balasubramanian · 2024
- Differentiable Programming for Differential Equations: A Review
Facundo Sapienza, Jordi Bolibar, Frank Schäfer, Brian Groenke, Avik Pal, Victor Boussange, Patrick Heimbach, Giles Hooker, Fernando Pérez, Per-Olof Persson, Christopher Rackauckas · 2024
- Unified Gaussian Primitives for Scene Representation and Rendering
Yang Zhou, Songyin Wu, Lingqi Yan · 2024
- A Comprehensive Study on Large Language Models for Mutation Testing
Bo Wang, Mingda Chen, Ming Deng, Youfang Lin, Mark Harman, Mike Papadakis, Jie M. Zhang · 2024
- Experiments in News Bias Detection with Pre-Trained Neural Transformers
Tim Menzner, Jochen L. Leidner · 2024
- DLHT: A Non-blocking Resizable Hashtable with Fast Deletes and Memory-awareness
Antonios Katsarakis, Vasilis Gavrielatos, Nikos Ntarmos · 2024
- SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James V. Miranda, Jennifer Santoso, Elyanah Aco, Akhdan Fadhilah, Jonibek Mansurov, Joseph Marvin Imperial, Onno P. Kampman, Joel Ruben Antony Moniz, Muhammad Ravi Shulthan Habibi, Frederikus Hudi, Railey Montalan, Ryan Ignatius, Joanito Agili Lopo, William Nixon, Börje F. Karlsson, James Jaya, Ryandito Diandaru, Yuze Gao, Patrick Amadeus, Bin Wang, Jan Christian Blaise Cruz, Chenxi Whitehouse, Ivan Halim Parmonangan, Maria Khelli, Wenyu Zhang, Lucky Susanto, Reynard Adha Ryanda, Sonny Lazuardi Hermawan, Dan John Velasco, Muhammad Dehan Al Kautsar, Willy Fitra Hendria, Yasmin Moslem, Noah Flynn, Muhammad Farid Adilazuarda, Haochen Li, Johanes Lee, R. Damanhuri, Shuo Sun, Muhammad Reza Qorib, Amirbek Djanibekov, Wei Qi Leong, Quyet V. Do, Niklas Muennighoff, Tanrada Pansuwan, Ilham Firdausi Putra, Yan Xu, Ngee Chia Tai, Ayu Purwarianti, Sebastian Ruder, William Tjhi, Peerat Limkonchotiwat, Alham Fikri Aji, Sedrick Keh, Genta Indra Winata, Ruochen Zhang, Fajri Koto, Zheng-Xin Yong, Samuel Cahyawijaya · 2024
- Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Carson Denison, Monte MacDiarmid, Fazl Barez, David Duvenaud, Shauna Kravec, Samuel Marks, Nicholas Schiefer, Ryan Soklaski, Alex Tamkin, Jared Kaplan, Buck Shlegeris, Samuel R. Bowman, Ethan Perez, Evan Hubinger · 2024
- TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners
Tomas de la Rosa, Sriram Gopalakrishnan, Alberto Pozanco, Zhen Zeng, Daniel Borrajo · 2024
- Indicators of the human origin of numbers
Vitaliy Grigoriev · 2024
- We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
Joseph Spracklen, Raveen Wijewickrama, A H M Nazmus Sakib, Anindya Maiti, Bimal Viswanath, Murtuza Jadliwala · 2024
- What is the best model? Application-driven Evaluation for Large Language Models
Shiguo Lian, Kaikai Zhao, Xinhui Liu, Xuejiao Lei, Bikun Yang, Wenjing Zhang, Kai Wang, Zhaoxiang Liu · 2024
- A Model for Economic Freedom on Mars
Jacob Haqq-Misra · 2024
- CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
David Brandfonbrener, Hanlin Zhang, Andreas Kirsch, Jonathan Richard Schwarz, Sham Kakade · 2024
- STAR: Scale-wise Text-conditioned AutoRegressive image generation
Xiaoxiao Ma, Mohan Zhou, Tao Liang, Yalong Bai, Tiejun Zhao, Biye Li, Huaian Chen, Yi Jin · 2024
- Leading Whitespaces of Language Models' Subword Vocabulary Pose a Confound for Calculating Word Probabilities
Byung-Doh Oh, William Schuler · 2024
- Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation
Or Tal, Alon Ziv, Itai Gat, Felix Kreuk, Yossi Adi · 2024
- Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game
Prisha Samadarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan · 2024
- garak: A Framework for Security Probing Large Language Models
Leon Derczynski, Erick Galinkin, Jeffrey Martin, Subho Majumdar, Nanna Inie · 2024
- AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou · 2024
- QTIP: Quantization with Trellises and Incoherence Processing
Albert Tseng, Qingyao Sun, David Hou, Christopher De Sa · 2024
- Unifying Multimodal Retrieval via Document Screenshot Embedding
Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin · 2024
- MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt · 2024
- Where there's a will there's a way: ChatGPT is used more for science in countries where it is prohibited
Honglin Bao, Mengyi Sun, Misha Teplitskiy · 2024
- PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
Yue Yu, Leixian Shen, Fei Long, Huamin Qu, Hao Chen · 2024
- The Black Hole Explorer: Using the Photon Ring to Visualize Spacetime Around the Black Hole
Peter Galison, Michael D. Johnson, Alexandru Lupsasca, Trevor Gravely, Roman Berens · 2024
- Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab · 2024
- Refusal in Language Models Is Mediated by a Single Direction
Andy Arditi, Oscar Obeso, Aaquib Syed, Daniel Paleka, Nina Panickssery, Wes Gurnee, Neel Nanda · 2024
- Probability Estimates of a 21st Century AMOC Collapse
Emma J. V. Smolders, René M. van Westen, Henk A. Dijkstra · 2024
- Transcendence: Generative Models Can Outperform The Experts That Train Them
Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach · 2024
- Compact Proofs of Model Performance via Mechanistic Interpretability
Jason Gross, Rajashree Agrawal, Thomas Kwa, Euan Ong, Chun Hei Yip, Alex Gibson, Soufiane Noubir, Lawrence Chan · 2024
- DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar · 2024
- Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation
Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng · 2024
- Autoregressive Image Generation without Vector Quantization
Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He · 2024
- A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen, Stefan Zohren · 2024