All paper pages
28734 retained paper pages. Page 200 of 288.
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin, Jyoti Aneja, Hany Awadalla, Ahmed Awadallah, Ammar Ahmad Awan, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Jianmin Bao, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Qin Cai, Vishrav Chaudhary, Dong Chen, Dongdong Chen, Weizhu Chen, Yen-Chun Chen, Yi-Ling Chen, Hao Cheng, Parul Chopra, Xiyang Dai, Matthew Dixon, Ronen Eldan, Victor Fragoso, Jianfeng Gao, Mei Gao, Min Gao, Amit Garg, Allie Del Giorno, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Wenxiang Hu, Jamie Huynh, Dan Iter, Sam Ade Jacobs, Mojan Javaheripi, Xin Jin, Nikos Karampatziakis, Piero Kauffmann, Mahoud Khademi, Dongwoo Kim, Young Jin Kim, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Yunsheng Li, Chen Liang, Lars Liden, Xihui Lin, Zeqi Lin, Ce Liu, Liyuan Liu, Mengchen Liu, Weishung Liu, Xiaodong Liu, Chong Luo, Piyush Madan, Ali Mahmoudzadeh, David Majercak, Matt Mazzola, Caio César Teodoro Mendes, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Liliang Ren, Gustavo de Rosa, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Yelong Shen, Swadheen Shukla, Xia Song, Masahiro Tanaka, Andrea Tupini, Praneetha Vaddamanu, Chunyu Wang, Guanhua Wang, Lijuan Wang, Shuohang Wang, Xin Wang, Yu Wang, Rachel Ward, Wen Wen, Philipp Witte, Haiping Wu, Xiaoxia Wu, Michael Wyatt, Bin Xiao, Can Xu, Jiahang Xu, Weijian Xu, Jilong Xue, Sonali Yadav, Fan Yang, Jianwei Yang, Yifan Yang, Ziyi Yang, Donghan Yu, Lu Yuan, Chenruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou · 2024
- What do Transformers Know about Government?
Jue Hou, Anisia Katinskaia, Lari Kotilainen, Sathianpong Trangcasanchai, Anh-Duc Vu, Roman Yangarber · 2024
- Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
Xiaochen Kev Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang · 2024
- The Life and Legacy of Bui Tuong Phong
Yoehan Oh, Jacinda Tran, Theodore Kim · 2024
- A Survey on Self-Evolution of Large Language Models
Zhengwei Tao, Ting-En Lin, Xiancai Chen, Hangyu Li, Yuchuan Wu, Yongbin Li, Zhi Jin, Fei Huang, Dacheng Tao, Jingren Zhou · 2024
- A Multimodal Automated Interpretability Agent
Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba · 2024
- SpaceByte: Towards Deleting Tokenization from Large Language Modeling
Kevin Slagle · 2024
- Removing Reflections from RAW Photos
Eric Kee, Adam Pikielny, Kevin Blackburn-Matzen, Marc Levoy · 2024
- A Mereological Approach to Higher-Order Structure in Complex Systems: from Macro to Micro with Möbius
Abel Jansma · 2024
- Predicting Question Quality on StackOverflow with Neural Networks
Mohammad Al-Ramahi, Izzat Alsmadi, Abdullah Wahbeh · 2024
- WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction
Augustin Toma, Ronald Xie, Steven Palayew, Patrick R. Lawler, Bo Wang · 2024
- Squeezing the quantum noise of a gravitational-wave detector below the standard quantum limit
Wenxuan Jia, Victoria Xu, Kevin Kuns, Masayuki Nakano, Lisa Barsotti, Matthew Evans, Nergis Mavalvala, Rich Abbott, Ibrahim Abouelfettouh, Rana Adhikari, Alena Ananyeva, Stephen Appert, Koji Arai, Naoki Aritomi, Stuart Aston, Matthew Ball, Stefan Ballmer, David Barker, Beverly Berger, Joseph Betzwieser, Dripta Bhattacharjee, Garilynn Billingsley, Nina Bode, Edgard Bonilla, Vladimir Bossilkov, Adam Branch, Aidan Brooks, Daniel Brown, John Bryant, Craig Cahillane, Huy-tuong Cao, Elenna Capote, Yanbei Chen, Filiberto Clara, Josh Collins, Camilla Compton, Robert Cottingham, Dennis Coyne, Ryan Crouch, Janos Csizmazia, Torrey Cullen, Louis Dartez, Nicholas Demos, Ezekiel Dohmen, Jenne Driggers, Sheila Dwyer, Anamaria Effler, Aldo Ejlli, Todd Etzel, Jon Feicht, Raymond Frey, William Frischhertz, Peter Fritschel, Valery Frolov, Paul Fulda, Michael Fyffe, Dhruva Ganapathy, Bubba Gateley, Joe Giaime, Dwayne Giardina, Jane Glanzer, Evan Goetz, Aaron Jones, Slawomir Gras, Corey Gray, Don Griffith, Hartmut Grote, Tyler Guidry, Evan Hall, Jonathan Hanks, Joe Hanson, Matthew Heintze, Adrian Helmling-cornell, Hsiang-yu Huang, Yuki Inoue, Alasdair James, Austin Jennings, Srinath Karat, Marie Kasprzack, Keita Kawabe, Nutsinee Kijbunchoo, Jeffrey Kissel, Antonios Kontos, Rahul Kumar, Michael Landry, Brian Lantz, Michael Laxen, Kyung-ha Lee, Madeline Lesovsky, Francisco Llamas, Marc Lormand, Hudsonalexander Loughlin, Ronaldas Macas, Myron Macinnis, Camille Makarem, Benjaminrobert Mannix, Georgia Mansell, Rodica Martin, Nyath Maxwell, Garrett Mccarrol, Richard Mccarthy, David Mcclelland, Scott Mccormick, Lee Mcculler, Terry Mcrae, Fernando Mera, Edmond Merilh, Fabian Meylahn, Richard Mittleman, Dan Moraru, Gerardo Moreno, Matthew Mould, Adam Mullavey, Timothy Nelson, Ansel Neunzert, Jason Oberling, Timothy Ohanlon, Charles Osthelder, David Ottaway, Harry Overmier, William Parker, Arnaud Pele, Huyen Pham, Marc Pirello, Volker Quetschke, Karla Ramirez, Jonathan Reyes, Jonathan Richardson, Mitchell Robinson, Jameson Rollins, Janeen Romie, Michael Ross, Travis Sadecki, Anthony Sanchez, Eduardo Sanchez, Luis Sanchez, Richard Savage, Dean Schaetzl, Mitchell Schiworski, Roman Schnabel, Robert Schofield, Eyal Schwartz, Danny Sellers, Thomas Shaffer, Ryan Short, Daniel Sigg, Bram Slagmolen, Siddharth Soni, Ling Sun, David Tanner, Michael Thomas, Patrick Thomas, Keith Thorne, Calum Torrie, Gary Traylor, Gabriele Vajente, Jordan Vanosky, Alberto Vecchio, Peter Veitch, Ajay Vibhute, Erik Vonreis, Jim Warner, Betsy Weaver, Rainer Weiss, Chris Whittle, Benno Willke, Christopher Wipf, Hiro Yamamoto, Haocun Yu, Liyuan Zhang, Michael Zucker · 2024
- The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, Bo Luo · 2024
- PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild
Rahul Islam, Sang Won Bae · 2024
- OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari · 2024
- Teaching Network Traffic Matrices in an Interactive Game Environment
Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland · 2024
- NExT: Teaching Large Language Models to Reason about Code Execution
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin · 2024
- The Geometry of the Set of Equivalent Linear Neural Networks
Jonathan Richard Shewchuk, Sagnik Bhattacharya · 2024
- Super Mario in the Pernicious Kingdoms: Classifying glitches in old games
Llewellyn Forward, Io Limmer, Joseph Hallett, Dan Page · 2024
- Do not think about pink elephant!
Kyomin Hwang, Suyoung Kim, JunHoo Lee, Nojun Kwak · 2024
- An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities
Carla E. Brodley, McKenna Quam, Mark A. Weiss · 2024
- Re-Thinking Inverse Graphics With Large Language Models
Peter Kulits, Haiwen Feng, Weiyang Liu, Victoria Abrevaya, Michael J. Black · 2024
- XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
Yifeng Ding, Jiawei Liu, Yuxiang Wei, Terry Yue Zhuo, Lingming Zhang · 2024
- Complexity of Popularity and Dynamics of Within-Game Achievements in Computer Games
Leonardo Ribeiro da Cunha, Leonardo Oliveira Mendes, Renio dos Santos Mendes · 2024
- Proof of a Universal Speed Limit on Fast Scrambling in Quantum Systems
Amit Vikram, Laura Shou, Victor Galitski · 2024
- Retrieval Head Mechanistically Explains Long-Context Factuality
Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu · 2024
- CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari · 2024
- HTAP Databases: A Survey
Chao Zhang, Guoliang Li, Jintao Zhang, Xinning Zhang, Jianhua Feng · 2024
- Let's Think Dot by Dot: Hidden Computation in Transformer Language Models
Jacob Pfau, William Merrill, Samuel R. Bowman · 2024
- Beyond Deepfake Images: Detecting AI-Generated Videos
Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm · 2024
- Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
Linyu Liu, Yu Pan, Xiaocheng Li, Guanting Chen · 2024
- MoDE: CLIP Data Experts via Clustering
Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu · 2024
- Forklift: An Extensible Neural Lifter
Jordi Armengol-Estapé, Rodrigo C. O. Rocha, Jackson Woodruff, Pasquale Minervini, Michael F. P. O'Boyle · 2024
- Implications of computer science theory for the simulation hypothesis
David H. Wolpert · 2024
- Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges
Badri Narayana Patro, Vijay Srinivas Agneeswaran · 2024
- Generalized Optimization Modulo Theories
Nestan Tsiskaridze, Clark Barrett, Cesare Tinelli · 2024
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson · 2024
- The Feasibility of Implementing Large-Scale Transformers on Multi-FPGA Platforms
Yu Gao, Juan Camilo Vega, Paul Chow · 2024
- Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall
Jiaqing Yuan, Lin Pan, Chung-Wei Hang, Jiang Guo, Jiarong Jiang, Bonan Min, Patrick Ng, Zhiguo Wang · 2024
- An analysis of the effects of sharing research data, code, and preprints on citations
Giovanni Colavizza, Lauren Cadwallader, Marcel LaFlamme, Grégory Dozot, Stéphane Lecorney, Daniel Rappo, Iain Hrynaszkiewicz · 2024
- Step Differences in Instructional Video
Tushar Nagarajan, Lorenzo Torresani · 2024
- Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics
Ben Williams, Bart van Merriënboer, Vincent Dumoulin, Jenny Hamer, Eleni Triantafillou, Abram B. Fleishman, Matthew McKown, Jill E. Munger, Aaron N. Rice, Ashlee Lillis, Clemency E. White, Catherine A. D. Hobbs, Tries B. Razak, Kate E. Jones, Tom Denton · 2024
- OpenIVM: a SQL-to-SQL Compiler for Incremental Computations
Ilaria Battiston, Kriti Kathuria, Peter Boncz · 2024
- Benchmarking Mobile Device Control Agents across Diverse Configurations
Juyong Lee, Taywon Min, Minyong An, Dongyoon Hahm, Haeone Lee, Changyeon Kim, Kimin Lee · 2024
- LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu · 2024
- Finch: Sparse and Structured Tensor Programming with Control Flow
Willow Ahrens, Teodoro Fields Collin, Radha Patel, Kyle Deeds, Changwan Hong, Saman Amarasinghe · 2024
- Make Your LLM Fully Utilize the Context
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou · 2024
- Quantifying Lifetime Productivity Changes: A Longitudinal Study of 320,000 Late-Career Scientists
Marek Kwiek, Lukasz Szymula · 2024
- Predicting SSH keys in Open SSH Memory dumps
Florian Rascoussier · 2024
- Machine Unlearning in Large Language Models
Kongyang Chen, Zixin Wang, Bing Mi, Waixi Liu, Shaowei Wang, Xiaojun Ren, Jiaxing Shen · 2024
- AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian · 2024
- Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
Melissa Ailem, Katerina Marazopoulou, Charlotte Siska, James Bono · 2024
- Player-Driven Emergence in LLM-Driven Game Narrative
Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Bill Dolan · 2024
- DeLaM: A Dependent Layered Modal Type Theory for Meta-programming
Jason Z. S. Hu, Brigitte Pientka · 2024
- Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Grosse · 2024
- A manufacturable platform for photonic quantum computing
Koen Alexander, Andrea Bahgat, Avishai Benyamini, Dylan Black, Damien Bonneau, Stanley Burgos, Ben Burridge, Geoff Campbell, Gabriel Catalano, Alex Ceballos, Chia-Ming Chang, CJ Chung, Fariba Danesh, Tom Dauer, Michael Davis, Eric Dudley, Ping Er-Xuan, Josep Fargas, Alessandro Farsi, Colleen Fenrich, Jonathan Frazer, Masaya Fukami, Yogeeswaran Ganesan, Gary Gibson, Mercedes Gimeno-Segovia, Sebastian Goeldi, Patrick Goley, Ryan Haislmaier, Sami Halimi, Paul Hansen, Sam Hardy, Jason Horng, Matthew House, Hong Hu, Mehdi Jadidi, Henrik Johansson, Thomas Jones, Vimal Kamineni, Nicholas Kelez, Ravi Koustuban, George Kovall, Peter Krogen, Nikhil Kumar, Yong Liang, Nicholas LiCausi, Dan Llewellyn, Kimberly Lokovic, Michael Lovelady, Vitor Manfrinato, Ann Melnichuk, Mario Souza, Gabriel Mendoza, Brad Moores, Shaunak Mukherjee, Joseph Munns, Francois-Xavier Musalem, Faraz Najafi, Jeremy L. O'Brien, J. Elliott Ortmann, Sunil Pai, Bryan Park, Hsuan-Tung Peng, Nicholas Penthorn, Brennan Peterson, Matt Poush, Geoff J. Pryde, Tarun Ramprasad, Gareth Ray, Angelita Rodriguez, Brian Roxworthy, Terry Rudolph, Dylan J. Saunders, Pete Shadbolt, Deesha Shah, Hyungki Shin, Jake Smith, Ben Sohn, Young-Ik Sohn, Gyeongho Son, Chris Sparrow, Matteo Staffaroni, Camille Stavrakas, Vijay Sukumaran, Davide Tamborini, Mark G. Thompson, Khanh Tran, Mark Triplet, Maryann Tung, Alexey Vert, Mihai D. Vidrighin, Ilya Vorobeichik, Peter Weigel, Mathhew Wingert, Jamie Wooding, Xinran Zhou · 2024
- Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao, Changxin Gao · 2024
- Uncovering the Metaverse within Everyday Environments: a Coarse-to-Fine Approach
Liming Xu, Dave Towey, Andrew P. French, Steve Benford · 2024
- Autonomous LLM-driven research from data to human-verifiable research papers
Tal Ifargan, Lukas Hafner, Maor Kern, Ori Alcalay, Roy Kishony · 2024
- Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land
Simone Scardapane · 2024
- BlenderAlchemy: Editing 3D Graphics with Vision-Language Models
Ian Huang, Guandao Yang, Leonidas Guibas · 2024
- Recent Increments in Incremental View Maintenance
Dan Olteanu · 2024
- Building a Large Japanese Web Corpus for Large Language Models
Naoaki Okazaki, Kakeru Hattori, Hirai Shota, Hiroki Iida, Masanari Ohi, Kazuki Fujii, Taishi Nakamura, Mengsay Loem, Rio Yokota, Sakae Mizuki · 2024
- Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities
Kazuki Fujii, Taishi Nakamura, Mengsay Loem, Hiroki Iida, Masanari Ohi, Kakeru Hattori, Hirai Shota, Sakae Mizuki, Rio Yokota, Naoaki Okazaki · 2024
- WorldGPT: Empowering LLM as Multimodal World Model
Zhiqi Ge, Hongzhe Huang, Mingze Zhou, Juncheng Li, Guoming Wang, Siliang Tang, Yueting Zhuang · 2024
- LEGENT: Open Platform for Embodied Agents
Zhili Cheng, Zhitong Wang, Jinyi Hu, Shengding Hu, An Liu, Yuge Tu, Pengkai Li, Lei Shi, Zhiyuan Liu, Maosong Sun · 2024
- Capabilities of Gemini Models in Medicine
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Ben Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale Webster, Joelle Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan · 2024
- Beating Posits at Their Own Game: Takum Arithmetic
Laslo Hunhold · 2024
- Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification
Artem Abzaliev, Humberto Pérez Espinosa, Rada Mihalcea · 2024
- Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input
Tessa Masis, Brendan O'Connor · 2024
- Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Pat Verga, Sebastian Hofstatter, Sophia Althammer, Yixuan Su, Aleksandra Piktus, Arkady Arkhangorodsky, Minjie Xu, Naomi White, Patrick Lewis · 2024
- Benchmarking Benchmark Leakage in Large Language Models
Ruijie Xu, Zengzhi Wang, Run-Ze Fan, Pengfei Liu · 2024
- "I'm in the Bluesky Tonight": Insights from a Year Worth of Social Data
Andrea Failla, Giulio Rossetti · 2024
- Plan of Thoughts: Heuristic-Guided Problem Solving with Large Language Models
Houjun Liu · 2024
- Replicating Human Anatomy with Vision Controlled Jetting -- A Pneumatic Musculoskeletal Hand and Forearm
Thomas Buchner, Stefan Weirich, Alexander M. Kübler, Wojciech Matusik, Robert K. Katzschmann · 2024
- In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese, Pekka Marttinen · 2024
- The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset
Claudio Bellei, Muhua Xu, Ross Phillips, Tom Robinson, Mark Weber, Tim Kaler, Charles E. Leiserson, Arvind, Jie Chen · 2024
- Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks
Javier Antoran · 2024
- Low-overhead General-purpose Near-Data Processing in CXL Memory Expanders
Hyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim · 2024
- RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
Yucheng Hu, Yuxing Lu · 2024
- Extending Llama-3's Context Ten-Fold Overnight
Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou · 2024
- Generative AI Usage and Exam Performance
Janik Ole Wecks, Johannes Voshaar, Benedikt Jost Plate, Jochen Zimmermann · 2024
- Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
Constantinos Patsakis, Fran Casino, Nikolaos Lykousas · 2024
- Iterative Reasoning Preference Optimization
Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston · 2024
- Better & Faster Large Language Models via Multi-token Prediction
Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Rozière, David Lopez-Paz, Gabriel Synnaeve · 2024
- KAN: Kolmogorov-Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljačić, Thomas Y. Hou, Max Tegmark · 2024
- Technosignatures longevity and Lindy's law
A. Balbi, C. Grimaldi · 2024
- On the Electromagnetic Mass Dilemma
Qasem Exirifard, Alessio D'Errico, Ebrahim Karimi · 2024
- Structure learning of Hamiltonians from real-time evolution
Ainesh Bakshi, Allen Liu, Ankur Moitra, Ewin Tang · 2024
- Graph Neural Network Approach to Semantic Type Detection in Tables
Ehsan Hoseinzade, Ke Wang · 2024
- GPU-friendly Stroke Expansion
Raph Levien, Arman Uguray · 2024
- GUing: A Mobile GUI Search Engine using a Vision-Language Model
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gérard Dray, Walid Maalej · 2024
- A Primer on the Inner Workings of Transformer-based Language Models
Javier Ferrando, Gabriele Sarti, Arianna Bisazza, Marta R. Costa-jussà · 2024
- STT: Stateful Tracking with Transformers for Autonomous Driving
Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li · 2024
- A Careful Examination of Large Language Model Performance on Grade School Arithmetic
Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Charlotte Zhuang, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue · 2024
- Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP
Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bnà, Nicholas Malaya · 2024
- Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh · 2024
- CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions
Donghee Choi, Mogan Gim, Donghyeon Park, Mujeen Sung, Hyunjae Kim, Jaewoo Kang, Jihun Choi · 2024
- HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs
Chang Sun, Zhiqiang Que, Thea K. Årrestad, Vladimir Loncar, Jennifer Ngadiuba, Wayne Luk, Maria Spiropulu · 2024
- A Survey on the Real Power of ChatGPT
Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray Buntine · 2024