All paper pages
28734 retained paper pages. Page 203 of 288.
- As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making
Shomik Jain, D Calacci, Ashia Wilson · 2024
- Scalable Optimization in the Modular Norm
Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein · 2024
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, Yu Su · 2024
- From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
Yuntian Deng, Yejin Choi, Stuart Shieber · 2024
- Not All Language Model Features Are One-Dimensionally Linear
Joshua Engels, Eric J. Michaud, Isaac Liao, Wes Gurnee, Max Tegmark · 2024
- Background Contamination of the Project Hephaistos Dyson Spheres Candidates
Tongtian Ren, Michael A. Garrett, Andrew P. V. Siemion · 2024
- AstroPT: Scaling Large Observation Models for Astronomy
Michael J. Smith, Ryan J. Roberts, Eirini Angeloudi, Marc Huertas-Company · 2024
- Surveilling the Masses with Wi-Fi-Based Positioning Systems
Erik Rye, Dave Levin · 2024
- ReachBot Field Tests in a Mojave Desert Lava Tube as a Martian Analog
Tony G. Chen, Julia Di, Stephanie Newdick, Mathieu Lapotre, Marco Pavone, Mark R. Cutkosky · 2024
- Extracting Prompts by Inverting LLM Outputs
Collin Zhang, John X. Morris, Vitaly Shmatikov · 2024
- Aya 23: Open Weight Releases to Further Multilingual Progress
Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker · 2024
- Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
Boshi Wang, Xiang Yue, Yu Su, Huan Sun · 2024
- DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Jonas Belouadi, Simone Paolo Ponzetto, Steffen Eger · 2024
- Dishonest Approximate Computing: A Coming Crisis for Cloud Clients
Ye Wang, Jian Dong, Ming Han, Jin Wu, Gang Qu · 2024
- Schrödinger cat states of a nuclear spin qudit in silicon
Xi Yu, Benjamin Wilhelm, Danielle Holmes, Arjen Vaartjes, Daniel Schwienbacher, Martin Nurizzo, Anders Kringhøj, Mark R. van Blankenstein, Alexander M. Jakob, Pragati Gupta, Fay E. Hudson, Kohei M. Itoh, Riley J. Murray, Robin Blume-Kohout, Thaddeus D. Ladd, Namit Anand, Andrew S. Dzurak, Barry C. Sanders, David N. Jamieson, Andrea Morello · 2024
- The Mosaic Memory of Large Language Models
Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye · 2024
- Sparse Matrix in Large Language Model Fine-tuning
Haoze He, Juncheng Billy Li, Xuan Jiang, Heather Miller · 2024
- Certifiably Robust RAG against Retrieval Corruption
Chong Xiang, Tong Wu, Zexuan Zhong, David Wagner, Danqi Chen, Prateek Mittal · 2024
- Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Byung-Kwan Lee, Chae Won Kim, Beomchan Park, Yong Man Ro · 2024
- Neuromorphic dreaming: A pathway to efficient learning in artificial agents
Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone, Giacomo Indiveri · 2024
- The Road Less Scheduled
Aaron Defazio, Xingyu Alice Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled, Ashok Cutkosky · 2024
- Models That Prove Their Own Correctness
Noga Amit, Shafi Goldwasser, Orr Paradise, Guy Rothblum · 2024
- Optimizing Large Language Models for OpenAPI Code Completion
Bohdan Petryshyn, Mantas Lukoševičius · 2024
- Neural Persistence Dynamics
Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt · 2024
- ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models
Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng · 2024
- Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey, Shane Bergsma, Joel Hestness · 2024
- SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press · 2024
- Oil & Water? Diffusion of AI Within and Across Scientific Fields
Eamon Duede, William Dolan, André Bauer, Ian Foster, Karim Lakhani · 2024
- What You Shouldn't Know About Quantum Computers
Chris Ferrie · 2024
- Transformers represent belief state geometry in their residual stream
Adam S. Shai, Sarah E. Marzen, Lucas Teixeira, Alexander Gietelink Oldenziel, Paul M. Riechers · 2024
- MoEUT: Mixture-of-Experts Universal Transformers
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning · 2024
- N-BVH: Neural ray queries with bounding volume hierarchies
Philippe Weier, Alexander Rath, Élie Michel, Iliyan Georgiev, Philipp Slusallek, Tamy Boubekeur · 2024
- BOLD: Boolean Logic Deep Learning
Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien Tran · 2024
- A First Course in Monte Carlo Methods
Daniel Sanz-Alonso, Omar Al-Ghattas · 2024
- SpinQuant: LLM quantization with learned rotations
Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort · 2024
- CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion
Jiayi Yao, Hanchen Li, Yuhan Liu, Siddhant Ray, Yihua Cheng, Qizheng Zhang, Kuntai Du, Shan Lu, Junchen Jiang · 2024
- Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubić, Federico Soldá, Aurelio Sulser, Davide Scaramuzza · 2024
- gzip Predicts Data-dependent Scaling Laws
Rohan Pandey · 2024
- Zamba: A Compact 7B SSM Hybrid Model
Paolo Glorioso, Quentin Anthony, Yury Tokpanov, James Whittington, Jonathan Pilault, Adam Ibrahim, Beren Millidge · 2024
- Cookie Monster: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems
Pierre Tholoniat, Kelly Kostopoulou, Peter McNeely, Prabhpreet Singh Sodhi, Anirudh Varanasi, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer · 2024
- Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe · 2024
- Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
Gal Yona, Roee Aharoni, Mor Geva · 2024
- Position: Foundation Agents as the Paradigm Shift for Decision Making
Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang · 2024
- Compressed-Language Models for Understanding Compressed File Formats: a JPEG Exploration
Juan C. Pérez, Alejandro Pardo, Mattia Soldan, Hani Itani, Juan Leon-Alcazar, Bernard Ghanem · 2024
- IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
Ziyang Li, Saikat Dutta, Mayur Naik · 2024
- An Introduction to Vision-Language Modeling
Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra · 2024
- Transformers Can Do Arithmetic with the Right Embeddings
Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, Tom Goldstein · 2024
- Privacy-Aware Visual Language Models
Laurens Samson, Nimrod Barazani, Sennay Ghebreab, Yuki M. Asano · 2024
- NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping · 2024
- Matryoshka Multimodal Models
Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee · 2024
- Optimizing Layout of Recursive Datatypes with Marmoset
Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, Milind Kulkarni · 2024
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Klaudia Bałazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor · 2024
- The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
James Prather, Brent Reeves, Juho Leinonen, Stephen MacNeil, Arisoa S. Randrianasolo, Brett Becker, Bailey Kimmel, Jared Wright, Ben Briggs · 2024
- The Impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in Hierarchical Navigable Small Worlds
Owen Pendrigh Elliott, Jesse Clark · 2024
- RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models
Sangmin Woo, Jaehyuk Jang, Donguk Kim, Yubin Choi, Changick Kim · 2024
- ToonCrafter: Generative Cartoon Interpolation
Jinbo Xing, Hanyuan Liu, Menghan Xia, Yong Zhang, Xintao Wang, Ying Shan, Tien-Tsin Wong · 2024
- Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn · 2024
- Is machine learning good or bad for the natural sciences?
David W. Hogg, Soledad Villar · 2024
- Bringing Rust to Safety-Critical Systems in Space
Lukas Seidel, Julian Beier · 2024
- Exploiting LLM Quantization
Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin Vechev · 2024
- Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning
Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James · 2024
- MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu · 2024
- Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa, Guillem Rodríguez Corominas · 2024
- Status of the LambdaCDM theory: supporting evidence and anomalies
P. J. E. Peebles · 2024
- Faithful Logical Reasoning via Symbolic Chain-of-Thought
Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu · 2024
- PromptWizard: Task-Aware Prompt Optimization Framework
Eshaan Agarwal, Joykirat Singh, Vivek Dani, Raghav Magazine, Tanuja Ganu, Akshay Nambi · 2024
- Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben Allal, Leandro Von Werra, Martin Jaggi · 2024
- A Critique of Snapshot Isolation
Daniel Gómez Ferro, Maysam Yabandeh · 2024
- Phased Consistency Models
Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li · 2024
- GFlow: Recovering 4D World from Monocular Video
Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang · 2024
- Spectroscopic confirmation of two luminous galaxies at $z\sim14$
Stefano Carniani, Kevin Hainline, Francesco D'Eugenio, Daniel J. Eisenstein, Peter Jakobsen, Joris Witstok, Benjamin D. Johnson, Jacopo Chevallard, Roberto Maiolino, Jakob M. Helton, Chris Willott, Brant Robertson, Stacey Alberts, Santiago Arribas, William M. Baker, Rachana Bhatawdekar, Kristan Boyett, Andrew J. Bunker, Alex J. Cameron, Phillip A. Cargile, Stéphane Charlot, Mirko Curti, Emma Curtis-Lake, Eiichi Egami, Giovanna Giardino, Kate Isaak, Zhiyuan Ji, Gareth C. Jones, Nimisha Kumari, Michael V. Maseda, Eleonora Parlanti, Pablo G. Pérez-González, Tim Rawle, George Rieke, Marcia Rieke, Bruno Rodríguez Del Pino, Aayush Saxena, Jan Scholtz, Renske Smit, Fengwu Sun, Sandro Tacchella, Hannah Übler, Giacomo Venturi, Christina C. Williams, Christopher N. A. Willmer · 2024
- "Golden Ratio Yoshimura" for Meta-Stable and Massively Reconfigurable Deployment
Vishrut Deshpande, Yogesh Phalak, Ziyang Zhou, Ian Walker, Suyi Li · 2024
- Potential Field Based Deep Metric Learning
Shubhang Bhatnagar, Narendra Ahuja · 2024
- Augmented Physics: Creating Interactive and Embedded Physics Simulations from Static Textbook Diagrams
Aditya Gunturu, Yi Wen, Nandi Zhang, Jarin Thundathil, Rubaiat Habib Kazi, Ryo Suzuki · 2024
- Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities
Vicky Zayats, Peter Chen, Melissa Ferrari, Dirk Padfield · 2024
- Contextual Position Encoding: Learning to Count What's Important
Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar Sukhbaatar · 2024
- LLMs achieve adult human performance on higher-order theory of mind tasks
Winnie Street, John Oliver Siy, Geoff Keeling, Adrien Baranes, Benjamin Barnett, Michael McKibben, Tatenda Kanyere, Alison Lentz, Blaise Aguera y Arcas, Robin I. M. Dunbar · 2024
- Compressing Large Language Models using Low Rank and Low Precision Decomposition
Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci · 2024
- Finite-Choice Logic Programming
Chris Martens, Robert J. Simmons, Michael Arntzenius · 2024
- I Bet You Did Not Mean That: Testing Semantic Importance via Betting
Jacopo Teneggi, Jeremias Sulam · 2024
- Kotlin ML Pack: Technical Report
Sergey Titov, Mikhail Evtikhiev, Anton Shapkin, Oleg Smirnov, Sergei Boytsov, Sergei Boytsov, Dariia Karaeva, Maksim Sheptyakov, Mikhail Arkhipov, Timofey Bryksin, Egor Bogomolov · 2024
- Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin · 2024
- MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series
Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen · 2024
- NPGA: Neural Parametric Gaussian Avatars
Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Nießner · 2024
- Deep Grokking: Would Deep Neural Networks Generalize Better?
Simin Fan, Razvan Pascanu, Martin Jaggi · 2024
- Math behind everyday life: "black days", their manifestation as traffic jams, and beyond
Daniil Fedotov, Sergei Nechaev · 2024
- Wavefront Threading Enables Effective High-Level Synthesis
Blake Pelton, Adam Sapek, Ken Eguro, Daniel Lo, Alessandro Forin, Matt Humphrey, Jinwen Xi, David Cox, Rajas Karandikar, Johannes de Fine Licht, Evgeny Babin, Adrian Caulfield, Doug Burger · 2024
- Why Larger Language Models Do In-context Learning Differently?
Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang · 2024
- LBT SHARK-VIS Observes a Major Resurfacing Event on Io
Al Conrad, Fernando Pedichini, Gianluca Li Causi, Simone Antoniucci, Imke de Pater, Ashley Gerard Davies, Katherine de Kleer, Roberto Piazzesi, Vincenzo Testa, Piero Vaccari, Martina Vicinanza, Jennifer Power, Steve Ertel, Joseph C. Shields, Sam Ragland, Fabrizio Giorgi, Stuart M. Jefferies, Douglas Hope, Jason Perry, David A. Williams, David M. Nelson · 2024
- Easy Problems That LLMs Get Wrong
Sean Williams, James Huckle · 2024
- Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
Ernesto Quevedo, Jorge Yero, Rachel Koerner, Pablo Rivas, Tomas Cerny · 2024
- Automatic Dance Video Segmentation for Understanding Choreography
Koki Endo, Shuhei Tsuchida, Tsukasa Fukusato, Takeo Igarashi · 2024
- Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion · 2024
- Language Models Need Inductive Biases to Count Inductively
Yingshan Chang, Yonatan Bisk · 2024
- The Solar System Notification Alert Processing System (SNAPS): Asteroid Population Outlier Detection
Michael Gowanlock, David E. Trilling, Daniel Kramer, Maria Chernyavskaya, Andrew McNeill · 2024
- Grokfast: Accelerated Grokking by Amplifying Slow Gradients
Jaerin Lee, Bong Gyun Kang, Kihoon Kim, Kyoung Mu Lee · 2024
- Hidden in Plain Sight: Exploring Chat History Tampering in Interactive Language Models
Cheng'an Wei, Yue Zhao, Yujia Gong, Kai Chen, Lu Xiang, Shenchen Zhu · 2024
- How (not) to Build Quantum PKE in Minicrypt
Longcheng Li, Qian Li, Xingjian Li, Qipeng Liu · 2024
- Large Language Models Can Self-Improve At Web Agent Tasks
Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter · 2024
- Xwin-LM: Strong and Scalable Alignment Practice for LLMs
Bolin Ni, JingCheng Hu, Yixuan Wei, Houwen Peng, Zheng Zhang, Gaofeng Meng, Han Hu · 2024