All paper pages
28734 retained paper pages. Page 191 of 288.
- Demystifying Chains, Trees, and Graphs of Thoughts
Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Guangyuan Piao, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwaśniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Aidan O'Mahony, Onur Mutlu, Torsten Hoefler · 2024
- ServerlessLLM: Low-Latency Serverless Inference for Large Language Models
Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai · 2024
- Rethinking Patch Dependence for Masked Autoencoders
Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg · 2024
- Prompt Design and Engineering: Introduction and Advanced Methods
Xavier Amatriain · 2024
- No Longer Trending on Artstation: Prompt Analysis of Generative AI Art
Jon McCormack, Maria Teresa Llano, Stephen James Krol, Nina Rajcic · 2024
- The Landscape of Compute-near-memory and Compute-in-memory: A Research and Commercial Overview
Asif Ali Khan, João Paulo C. De Lima, Hamid Farzaneh, Jeronimo Castrillon · 2024
- Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell · 2024
- Self-interacting dark matter solves the final parsec problem of supermassive black hole mergers
Gonzalo Alonso-Álvarez, James M. Cline, Caitlyn Dewar · 2024
- The forest as a neutrino detector
Steven Prohira · 2024
- AI auditing: The Broken Bus on the Road to AI Accountability
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji · 2024
- The Case for Co-Designing Model Architectures with Hardware
Quentin Anthony, Jacob Hatef, Deepak Narayanan, Stella Biderman, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, Dhabaleswar Panda · 2024
- Mitigating Smishing: Challenges and Future Work
Cori Faklaris · 2024
- Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors
Taylor R Schorlemmer, Kelechi G Kalu, Luke Chigges, Kyung Myung Ko, Eman Abu Isghair, Saurabh Baghi, Santiago Torres-Arias, James C Davis · 2024
- Omnipredictors for Regression and the Approximate Rank of Convex Functions
Parikshit Gopalan, Princewill Okoroafor, Prasad Raghavendra, Abhishek Shetty, Mihir Singhal · 2024
- Residual Quantization with Implicit Neural Codebooks
Iris A. M. Huijben, Matthijs Douze, Matthew Muckley, Ruud J. G. van Sloun, Jakob Verbeek · 2024
- Adaptive Point Transformer
Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane · 2024
- The Power of Noise: Redefining Retrieval for RAG Systems
Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri · 2024
- Learning Universal Predictors
Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness · 2024
- Fermi Resonance and the Quantum Mechanical Basis of Global Warming
Robin Wordsworth, Jacob Seeley, Keith Shine · 2024
- Unlearning Traces the Influential Training Data of Language Models
Masaru Isonuma, Ivan Titov · 2024
- Foundations of Substructural Dependent Type Theory
C. B. Aberlé · 2024
- SoK: Where's the "up"?! A Comprehensive (bottom-up) Study on the Security of Arm Cortex-M Systems
Xi Tan, Zheyuan Ma, Sandro Pinto, Le Guan, Ning Zhang, Jun Xu, Zhiqiang Lin, Hongxin Hu, Ziming Zhao · 2024
- DiffuserLite: Towards Real-time Diffusion Planning
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng · 2024
- Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings
Logan Hallee, Rohan Kapur, Arjun Patel, Jason P. Gleghorn, Bohdan Khomtchouk · 2024
- Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception
Forrest McKee, David Noever · 2024
- Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability
Hao Wang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang, Tao Xiang · 2024
- MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Bin Lin, Zhenyu Tang, Yang Ye, Jinfa Huang, Junwu Zhang, Yatian Pang, Peng Jin, Munan Ning, Jiebo Luo, Li Yuan · 2024
- Better Call GPT, Comparing Large Language Models Against Lawyers
Lauren Martin, Nick Whitehouse, Stephanie Yiu, Lizzie Catterson, Rivindu Perera · 2024
- SECOMP: Formally Secure Compilation of Compartmentalized C Programs
Jérémy Thibault, Roberto Blanco, Dongjae Lee, Sven Argo, Arthur Azevedo de Amorim, Aïna Linn Georges, Catalin Hritcu, Andrew Tolmach · 2024
- Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly · 2024
- Print-N-Grip: A Disposable, Compliant, Scalable and One-Shot 3D-Printed Multi-Fingered Robotic Hand
Alon Laron, Eran Sne, Yaron Perets, Avishai Sintov · 2024
- DressCode: Autoregressively Sewing and Generating Garments from Text Guidance
Kai He, Kaixin Yao, Qixuan Zhang, Jingyi Yu, Lingjie Liu, Lan Xu · 2024
- ReGAL: Refactoring Programs to Discover Generalizable Abstractions
Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal · 2024
- InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li · 2024
- Airy worlds or barren rocks? On the survivability of secondary atmospheres around the TRAPPIST-1 planets
Gwenaël Van Looveren, Manuel Güdel, Sudeshna Boro Saikia, Kristina Kislyakova · 2024
- Error detection using pneumatic logic
Shane Hoang, Mabel Shehada, Zinal Patel, Minh-Huy Tran, Konstantinos Karydis, Philip Brisk, William H. Grover · 2024
- Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks
Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim · 2024
- Democratizing the Creation of Animatable Facial Avatars
Yilin Zhu, Dalton Omens, Haodi He, Ron Fedkiw · 2024
- Saccade-Contingent Rendering
Yuna Kwak, Eric Penner, Xuan Wang, Mohammad R. Saeedpour-Parizi, Olivier Mercier, Xiuyun Wu, T. Scott Murdison, Phillip Guan · 2024
- Deep Learning for Multi-Label Learning: A Comprehensive Survey
Adane Nega Tarekegn, Mohib Ullah, Faouzi Alaya Cheikh · 2024
- IEEE BigData 2023 Keystroke Verification Challenge (KVC)
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fierrez, Javier-Ortega Garcia, Nahuel Gonzalez, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Grossmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola · 2024
- Human Responses to Algorithmic Correction: Evidence from Centre Court
David Almog, Romain Gauriot, Lionel Page, Daniel Martin · 2024
- H2O-Danube-1.8B Technical Report
Philipp Singer, Pascal Pfeiffer, Yauhen Babakhin, Maximilian Jeblick, Nischay Dhankhar, Gabor Fodor, Sri Satish Ambati · 2024
- A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference
Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin · 2024
- SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Ansar Aynetdinov, Alan Akbik · 2024
- Stale Profile Matching
Amir Ayupov, Maksim Panchenko, Sergey Pupyrev · 2024
- Weaver: Foundation Models for Creative Writing
Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, Yibin Liu, Jialong Wu, Shengwei Ding, Long Li, Zhiwei Huang, Xinle Deng, Teng Yu, Gangan Ma, Han Xiao, Zixin Chen, Danjun Xiang, Yunxia Wang, Yuanyuan Zhu, Yi Xiao, Jing Wang, Yiru Wang, Siran Ding, Jiayang Huang, Jiayi Xu, Yilihamu Tayier, Zhenyu Hu, Yuan Gao, Chengfeng Zheng, Yueshu Ye, Yihang Li, Lei Wan, Xinyue Jiang, Yujie Wang, Siyu Cheng, Zhule Song, Xiangru Tang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang, Wangchunshu Zhou · 2024
- YOLO-World: Real-Time Open-Vocabulary Object Detection
Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, Ying Shan · 2024
- Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi · 2024
- Decapodes: A Diagrammatic Tool for Representing, Composing, and Computing Spatialized Partial Differential Equations
Luke Morris, Andrew Baas, Jesus Arias, Maia Gatlin, Evan Patterson, James P. Fairbanks · 2024
- A Preliminary Study on Using Large Language Models in Software Pentesting
Kumar Shashwat, Francis Hahn, Xinming Ou, Dmitry Goldgof, Lawrence Hall, Jay Ligatti, S. Raj Rajgopalan, Armin Ziaie Tabari · 2024
- Efficient Tool Use with Chain-of-Abstraction Reasoning
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang · 2024
- Arrows of Time for Large Language Models
Vassilis Papadopoulos, Jérémie Wenger, Clément Hongler · 2024
- 5G NR Positioning Enhancements in 3GPP Release-18
Hyun-Su Cha, Gilsoo Lee, Amitava Ghosh, Matthew Baker, Sean Kelley, Juergen Hofmann · 2024
- Beyond Control: Exploring Novel File System Objects for Data-Only Attacks on Linux Systems
Jinmeng Zhou, Jiayi Hu, Ziyue Pan, Jiaxun Zhu, Wenbo Shen, Guoren Li, Zhiyun Qian · 2024
- Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
Gavin Mischler, Yinghao Aaron Li, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani · 2024
- HyperZ$\cdot$Z$\cdot$W Operator Connects Slow-Fast Networks for Full Context Interaction
Harvie Zhang · 2024
- Multilinear Operator Networks
Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher · 2024
- EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation
Jonathan W. Kim, Ahmed Alaa, Danilo Bernardo · 2024
- RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher D. Manning · 2024
- KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami · 2024
- Training microrobots to swim by a large language model
Zhuoqun Xu, Lailai Zhu · 2024
- Detecting Multimedia Generated by Large AI Models: A Survey
Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu · 2024
- Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators
Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Oliver Bringmann · 2024
- EvoMerge: Neuroevolution for Large Language Models
Yushu Jiang · 2024
- Exploring Felix Klein's contested modernism
Peter Heinig, Mikhail G. Katz, Karl Kuhlemann, Jan Peter Schaefermeyer, David Sherry · 2024
- Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo · 2024
- On the Challenges of Fuzzing Techniques via Large Language Models
Linghan Huang, Peizhou Zhao, Huaming Chen, Lei Ma · 2024
- bypass4netns: Accelerating TCP/IP Communications in Rootless Containers
Naoki Matsumoto, Akihiro Suda · 2024
- On the nature of apparent transient sources on the National Geographic Society-Palomar Observatory Sky Survey glass copy plates
Nigel Hambly, Adam Blair · 2024
- Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks
Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer · 2024
- Comparative Study of Large Language Model Architectures on Frontier
Junqi Yin, Avishek Bose, Guojing Cong, Isaac Lyngaas, Quentin Anthony · 2024
- CroissantLLM: A Truly Bilingual French-English Language Model
Manuel Faysse, Patrick Fernandes, Nuno M. Guerreiro, António Loison, Duarte M. Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro H. Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo · 2024
- Human Expertise in Algorithmic Prediction
Rohan Alur, Manish Raghavan, Devavrat Shah · 2024
- Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
Xue-Yong Fu, Md Tahmid Rahman Laskar, Elena Khasanova, Cheng Chen, Shashi Bhushan TN · 2024
- SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter · 2024
- Real Sparks of Artificial Intelligence and the Importance of Inner Interpretability
Alex Grzankowski · 2024
- Approximate Nearest Neighbor Search with Window Filters
Joshua Engels, Benjamin Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun · 2024
- Semantic Constraint Inference for Web Form Test Generation
Parsa Alian, Noor Nashid, Mobina Shahbandeh, Ali Mesbah · 2024
- Ruling Out Low-rank Matrix Multiplication Tensor Decompositions with Symmetries via SAT
Jason Yang · 2024
- Executable Code Actions Elicit Better LLM Agents
Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji · 2024
- Repeat After Me: Transformers are Better than State Space Models at Copying
Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach · 2024
- Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du, Leslie Kaelbling · 2024
- Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer · 2024
- Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
Alicia Curth, Alan Jeffares, Mihaela van der Schaar · 2024
- Decoding Speculative Decoding
Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman · 2024
- Pre-Flight Calibration of PIXL for X-ray Fluorescence Elemental Quantification
Christopher M. Heirwegh, William Timothy Elam, Yang Liu, Anusheela Das, Christopher Hummel, Bret Naylor, Lawrence A. Wade, Abigail C. Allwood, Joel A. Hurowitz, Les G. Armstrong, Naomi Bacop, Lauren P. O'Neil, Kimberly P. Sinclair, Michael E. Sondheim, Robert W. Denise, Peter R. Lawson, Rogelio Rosas, Jonathan H. Kawamura, Mitchell H. Au, Amarit Kitiyakara, Marc C. Foote, Raul A. Romero, Mark S. Anderson, George R. Rossman, Benton C. Clark · 2024
- Confinement in the Transverse Field Ising model on the Heavy Hex lattice
Joseph Tindall, Dries Sels · 2024
- Spiking Music: Audio Compression with Event Based Auto-encoders
Martim Lisboa, Guillaume Bellec · 2024
- Towards Sustainable Workplace Mental Health: A Novel Approach to Early Intervention and Support
David W. Vinson, Mihael Arcan, David-Paul Niland, Fionn Delahunty · 2024
- Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives
Meredith Ringel Morris, Jed R. Brubaker · 2024
- Steering Language Models with Game-Theoretic Solvers
Ian Gemp, Roma Patel, Yoram Bachrach, Marc Lanctot, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls · 2024
- Reducing Selection Bias in Large Language Models
J. E. Eicher, R. F. Irgolič · 2024
- When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, Sultan Alrashed, Shaykhah Alsubaie, Yusef Almushaykeh, Faisal Mirza, Nouf Alotaibi, Nora Altwairesh, Areeb Alowisheq, M Saiful Bari, Haidar Khan · 2024
- COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations
Vinicius G. Goecks, Nicholas Waytowich · 2024
- The Political Preferences of LLMs
David Rozado · 2024
- An introduction to graphical tensor notation for mechanistic interpretability
Jordan K. Taylor · 2024
- LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Saldyt, Anil Murthy · 2024
- Fractal Patterns May Illuminate the Success of Next-Token Prediction
Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani · 2024
- Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro · 2024