All paper pages
28734 retained paper pages. Page 204 of 288.
- Knockout: A simple way to handle missing inputs
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu · 2024
- Decentralized AI: Permissionless LLM Inference on POKT Network
Daniel Olshansky, Ramiro Rodriguez Colmeiro, Bowen Li · 2024
- Online network topology shapes personal narratives and hashtag generation
J. Hunter Priniski, Bryce Linford, Sai Krishna, Fred Morstatter, Jeff Brantingham, Hongjing Lu · 2024
- Scalable Detection of Salient Entities in News Articles
Eliyar Asgarieh, Kapil Thadani, Neil O'Hare · 2024
- Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur, Erik Jenner, Stuart Russell · 2024
- Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions
Steven Moore, Robin Schmucker, Tom Mitchell, John Stamper · 2024
- New large value estimates for Dirichlet polynomials
Larry Guth, James Maynard · 2024
- The AI Alignment Paradox
Robert West, Roland Aydin · 2024
- A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians
Piotr Wojciech Mirowski, Juliette Love, Kory W. Mathewson, Shakir Mohamed · 2024
- SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao · 2024
- The rising costs of training frontier AI models
Ben Cottier, Robi Rahman, Loredana Fattorini, Nestor Maslej, Tamay Besiroglu, David Owen · 2024
- Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Tri Dao, Albert Gu · 2024
- Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun · 2024
- PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction
Arne Binder, Leonhard Hennig, Christoph Alt · 2024
- Large Language Models' Detection of Political Orientation in Newspapers
Alessio Buscemi, Daniele Proverbio · 2024
- Easy real-time collision detection
Jonathan Fabrizio · 2024
- Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen · 2024
- Heads, Tails, and AI Fails: LLMs, Randomness, and Human Judgments
Katherine Van Koevering, Jon Kleinberg · 2024
- Dissecting the Crab Nebula with JWST: Pulsar wind, dusty filaments, and Ni/Fe abundance constraints on the explosion mechanism
Tea Temim, J. Martin Laming, P. J. Kavanagh, Nathan Smith, Patrick Slane, William P. Blair, Ilse De Looze, Niccolò Bucciantini, Anders Jerkstrand, Nicole Marcelina Gountanis, Ravi Sankrit, Dan Milisavljevic, Armin Rest, Maxim Lyutikov, Joseph DePasquale, Thomas Martin, Laurent Drissen, John Raymond, Ori D. Fox, Maryam Modjaz, Anatoly Spitkovsky, Lou Strolger · 2024
- Measures in SQL
Julian Hyde, John Fremlin · 2024
- Empirical influence functions to understand the logic of fine-tuning
Jordan K. Matelsky, Lyle Ungar, Konrad P. Kording · 2024
- Learning to Play 7 Wonders Duel Without Human Supervision
Giovanni Paolini, Lorenzo Moreschini, Francesco Veneziano, Alessandro Iraci · 2024
- Harvard Undergraduate Survey on Generative AI
Shikoh Hirabayashi, Rishab Jain, Nikola Jurković, Gabriel Wu · 2024
- Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost
Masha Belyi, Robert Friel, Shuai Shao, Atindriyo Sanyal · 2024
- Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith Ngai · 2024
- Virtual avatar generation models as world navigators
Sai Mandava · 2024
- Experimental comparison of 5G SDR platforms: srsRAN x OpenAirInterface
Ruan P. Alves, Joao Guilherme A. da S. Alves, Mikael R. Camelo, Wilker O. de Feitosa, Victor F. Monteiro, Fco. Rodrigo P. Cavalcanti · 2024
- The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch · 2024
- MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen · 2024
- Tetrahedron Splatting for 3D Generation
Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang · 2024
- SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer · 2024
- Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
Yuxuan Zhu, Antony Kellermann, Akul Gupta, Philip Li, Richard Fang, Rohan Bindu, Daniel Kang · 2024
- A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner · 2024
- Dark Matter
Marco Cirelli, Alessandro Strumia, Jure Zupan · 2024
- Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev · 2024
- ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU
Qi Qiu, Tao Zhu, Helin Gong, Liming Chen, Huansheng Ning · 2024
- Altermagnetism: Exploring New Frontiers in Magnetism and Spintronics
Ling Bai, Wanxiang Feng, Siyuan Liu, Libor Šmejkal, Yuriy Mokrousov, Yugui Yao · 2024
- Von Neumann's 1927 Trilogy on the Foundations of Quantum Mechanics. Annotated Translations
Anthony Duncan · 2024
- Bridging the micro-Hz gravitational wave gap via Doppler tracking with the Uranus Orbiter and Probe Mission: Massive black hole binaries, early universe signals and ultra-light dark matter
Lorenz Zwick, Deniz Soyuer, Daniel J. D'Orazio, David O'Neill, Andrea Derdzinski, Prasenjit Saha, Diego Blas, Alexander C. Jenkins, Luke Zoltan Kelley · 2024
- Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
Bálint Máté, François Fleuret, Tristan Bereau · 2024
- Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin · 2024
- LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing
Maojun Sun · 2024
- Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo · 2024
- What no one has seen before: gravitational waveforms from warp drive collapse
Katy Clough, Tim Dietrich, Sebastian Khan · 2024
- The computational power of random quantum circuits in arbitrary geometries
Matthew DeCross, Reza Haghshenas, Minzhao Liu, Enrico Rinaldi, Johnnie Gray, Yuri Alexeev, Charles H. Baldwin, John P. Bartolotta, Matthew Bohn, Eli Chertkov, Julia Cline, Jonhas Colina, Davide DelVento, Joan M. Dreiling, Cameron Foltz, John P. Gaebler, Thomas M. Gatterman, Christopher N. Gilbreth, Joshua Giles, Dan Gresh, Alex Hall, Aaron Hankin, Azure Hansen, Nathan Hewitt, Ian Hoffman, Craig Holliman, Ross B. Hutson, Trent Jacobs, Jacob Johansen, Patricia J. Lee, Elliot Lehman, Dominic Lucchetti, Danylo Lykov, Ivaylo S. Madjarov, Brian Mathewson, Karl Mayer, Michael Mills, Pradeep Niroula, Juan M. Pino, Conrad Roman, Michael Schecter, Peter E. Siegfried, Bruce G. Tiemann, Curtis Volin, James Walker, Ruslan Shaydulin, Marco Pistoia, Steven. A. Moses, David Hayes, Brian Neyenhuis, Russell P. Stutz, Michael Foss-Feig · 2024
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Soroush Nasiriany, Abhiram Maddukuri, Lance Zhang, Adeet Parikh, Aaron Lo, Abhishek Joshi, Ajay Mandlekar, Yuke Zhu · 2024
- Scalable MatMul-free Language Modeling
Rui-Jie Zhu, Yu Zhang, Steven Abreu, Ethan Sifferman, Tyler Sheaves, Yiqiao Wang, Dustin Richmond, Sumit Bam Shrestha, Peng Zhou, Jason K. Eshraghian · 2024
- To Believe or Not to Believe Your LLM
Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári · 2024
- Keyword-Guided Adaptation of Automatic Speech Recognition
Aviv Shamsian, Aviv Navon, Neta Glazer, Gill Hetz, Joseph Keshet · 2024
- Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Nathan Ng, Roger Grosse, Marzyeh Ghassemi · 2024
- Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
Brian K Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi · 2024
- Verified Code Transpilation with LLMs
Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung · 2024
- Supplementary Materials to Graph Convolutional Branch and Bound
Lorenzo Sciandra, Roberto Esposito, Andrea Cesare Grosso, Laura Sacerdote, Cristina Zucca · 2024
- The Harder You Try, The Harder You Fail: The KeyTrap Denial-of-Service Algorithmic Complexity Attacks on DNSSEC
Elias Heftrig, Haya Schulmann, Niklas Vogel, Michael Waidner · 2024
- Reconstructing training data from document understanding models
Jérémie Dentan, Arnaud Paran, Aymen Shabou · 2024
- The Impossibility of Fair LLMs
Jacy Anthis, Kristian Lum, Michael Ekstrand, Avi Feller, Chenhao Tan · 2024
- Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap
Martin Langhammer, George A. Constantinides · 2024
- CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang · 2024
- Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Marković, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury · 2024
- Pre-trained Large Language Models Use Fourier Features to Compute Addition
Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia · 2024
- Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Xinrong Zhang, Zhiyuan Liu, Chuan Shi, Maosong Sun · 2024
- What Makes Language Models Good-enough?
Daiki Asami, Saku Sugawara · 2024
- Evaluating the World Model Implicit in a Generative Model
Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan · 2024
- The Failed Migration of Academic Twitter: A Case Study of Precocious Adopters
Xinyu Wang, Sai Koneru, Sarah Rajtmajer · 2024
- Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
Jisu Shin, Hoyun Song, Huije Lee, Soyeong Jeong, Jong C. Park · 2024
- Scaling and evaluating sparse autoencoders
Leo Gao, Tom Dupré la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu · 2024
- Uncovering Limitations of Large Language Models in Information Seeking from Tables
Chaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo · 2024
- Transformers need glasses! Information over-squashing in language tasks
Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G. M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković · 2024
- Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktaschel · 2024
- Vision-LSTM: xLSTM as Generic Vision Backbone
Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter · 2024
- Quixer: A Quantum Transformer Model
Nikhil Khatri, Gabriel Matos, Luuk Coopmans, Stephen Clark · 2024
- Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter · 2024
- Improving Alignment and Robustness with Circuit Breakers
Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks · 2024
- DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang · 2024
- RAG Does Not Work for Enterprises
Tilmann Bruckhaus · 2024
- Large Language Model Confidence Estimation via Black-Box Access
Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri · 2024
- Exploring the Latest LLMs for Leaderboard Extraction
Salomon Kabongo, Jennifer D'Souza, Sören Auer · 2024
- Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo · 2024
- Can Language Models Use Forecasting Strategies?
Sarah Pratt, Seth Blumberg, Pietro Kreitlon Carolino, Meredith Ringel Morris · 2024
- Rough Set improved Therapy-Based Metaverse Assisting System
Jin Cao, Yanhui Jiang, Chang Yu, Feiwei Qin, Zekun Jiang · 2024
- DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks
Haokun Zhou, Yipeng Hong · 2024
- Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
Claire Jin, Sudha Rao, Xiangyu Peng, Portia Botchway, Jessica Quaye, Chris Brockett, Bill Dolan · 2024
- GenAI Arena: An Open Evaluation Platform for Generative Models
Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen · 2024
- Proofread: Fixes All Errors with One Tap
Renjie Liu, Yanxiang Zhang, Yun Zhu, Haicheng Sun, Yuanbo Zhang, Michael Xuelin Huang, Shanqing Cai, Lei Meng, Shumin Zhai · 2024
- Mixture-of-Agents Enhances Large Language Model Capabilities
Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou · 2024
- Compilation Quotient (CQ): A Metric for the Compilation Hardness of Programming Languages
Violet Szabo, Dominik Winterer, Zhendong Su · 2024
- BERTs are Generative In-Context Learners
David Samuel · 2024
- XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model
Edresson Casanova, Kelly Davis, Eren Gölge, Görkem Göknar, Iulian Gulea, Logan Hart, Aya Aljafari, Joshua Meyer, Reuben Morais, Samuel Olayemi, Julian Weber · 2024
- Mexican Computers: A Brief Technical and Historical Overview
Daniel Ortiz-Arroyo · 2024
- The Dark Energy Survey Supernova Program: Investigating Beyond-$Λ$CDM
R. Camilleri, T. M. Davis, M. Vincenzi, P. Shah, J. Frieman, R. Kessler, P. Armstrong, D. Brout, A. Carr, R. Chen, L. Galbany, K. Glazebrook, S. R. Hinton, J. Lee, C. Lidman, A. Möller, B. Popovic, H. Qu, M. Sako, D. Scolnic, M. Smith, M. Sullivan, B. O. Sánchez, G. Taylor, M. Toy, P. Wiseman, T. M. C. Abbott, M. Aguena, S. Allam, O. Alves, J. Annis, S. Avila, D. Bacon, E. Bertin, S. Bocquet, D. Brooks, D. L. Burke, A. Carnero Rosell, J. Carretero, F. J. Castander, L. N. da Costa, M. E. S. Pereira, S. Desai, H. T. Diehl, P. Doel, C. Doux, S. Everett, I. Ferrero, B. Flaugher, P. Fosalba, J. García-Bellido, M. Gatti, E. Gaztanaga, G. Giannini, D. Gruen, D. L. Hollowood, K. Honscheid, D. J. James, K. Kuehn, O. Lahav, S. Lee, J. L. Marshall, J. Mena-Fernández, R. Miquel, J. Muir, J. Myles, R. L. C. Ogando, A. Pieres, A. A. Plazas Malagón, A. Porredon, M. Rodriguez-Monroy, E. Sanchez, D. Sanchez Cid, M. Schubnell, I. Sevilla-Noarbe, E. Suchyta, M. E. C. Swanson, G. Tarle, A. R. Walker, N. Weaverdyck · 2024
- The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim · 2024
- Look-Up Table based Neural Network Hardware
Ovishake Sen, Chukwufumnanya Ogbogu, Peyman Dehghanzadeh, Janardhan Rao Doppa, Swarup Bhunia, Partha Pratim Pande, Baibhab Chatterjee · 2024
- Information Geometry of Evolution of Neural Network Parameters While Training
Abhiram Anand Thiruthummal, Eun-jin Kim, Sergiy Shelyag · 2024
- VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers
Sanyuan Chen, Shujie Liu, Long Zhou, Yanqing Liu, Xu Tan, Jinyu Li, Sheng Zhao, Yao Qian, Furu Wei · 2024
- Kurt Gödel and the Logic of Concepts
Jovana Kostić, Slobodan Vujošević · 2024
- Toward Autonomous Driving by Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software
Kento Kawaharazuka, Kei Tsuzuki, Yuya Koga, Yusuke Omura, Tasuku Makabe, Koki Shinjo, Moritaka Onitsuka, Yuya Nagamatsu, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba · 2024
- Creativity Has Left the Chat: The Price of Debiasing Language Models
Behnam Mohammadi · 2024
- Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman · 2024
- Deception Analysis with Artificial Intelligence: An Interdisciplinary Perspective
Stefan Sarkadi · 2024
- Safety Alignment Should Be Made More Than Just a Few Tokens Deep
Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson · 2024