All paper pages
28734 retained paper pages. Page 208 of 288.
- Confidence-based Estimators for Predictive Performance in Model Monitoring
Juhani Kivimäki, Jakub Białek, Jukka K. Nurminen, Wojtek Kuberski · 2024
- eyeballvul: a future-proof benchmark for vulnerability detection in the wild
Timothee Chauvin · 2024
- Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency
Abeba Birhane, Marek McGann · 2024
- GPT-4 is judged more human than humans in displaced and inverted Turing tests
Ishika Rathi, Sydney Taylor, Benjamin K. Bergen, Cameron R. Jones · 2024
- Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
David N. Palacio, Daniel Rodriguez-Cardenas, Alejandro Velasco, Dipin Khati, Kevin Moran, Denys Poshyvanyk · 2024
- Procedural Content Generation via Generative Artificial Intelligence
Xinyu Mao, Wanli Yu, Yuya Okawara, Xueying Zhan, Kazunori D. Yamada, Michael R. Zielewski · 2024
- SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang · 2024
- Accuracy is Not All You Need
Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee · 2024
- Transformer Layers as Painters
Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones · 2024
- Tracking Patterns in Toxicity and Antisocial Behavior Over User Lifetimes on Large Social Media Platforms
Katy Blumer, Jon Kleinberg · 2024
- Human-inspired Episodic Memory for Infinite Context LLMs
Zafeirios Fountas, Martin A Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang · 2024
- Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane · 2024
- Is GPT-4 conscious?
Izak Tait, Joshua Bensemann, Ziqi Wang · 2024
- BitNet b1.58 Reloaded: State-of-the-art Performance Also on Smaller Networks
Jacob Nielsen, Peter Schneider-Kamp · 2024
- Planck stars, White Holes, Remnants and Planck-mass quasi-particles. The quantum gravity phase in black holes' evolution and its manifestations
Carlo Rovelli, Francesca Vidotto · 2024
- How Chinese are Chinese Language Models? The Puzzling Lack of Language Policy in China's LLMs
Andrea W Wen-Yi, Unso Eun Seo Jo, Lu Jia Lin, David Mimno · 2024
- Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations
Santiago Fernández, Emilio Martínez, Gabriel Varela, Pablo Musé, Federico Larroca · 2024
- Unexpected Benefits of Self-Modeling in Neural Systems
Vickram N. Premakumar, Michael Vaiana, Florin Pop, Judd Rosenblatt, Diogo Schwerz de Lucena, Kirsten Ziman, Michael S. A. Graziano · 2024
- xLSTMTime : Long-term Time Series Forecasting With xLSTM
Musleh Alharthi, Ausif Mahmood · 2024
- Building holographic code from the boundary
Wei Wang · 2024
- Large Language Model-based FMRI Encoding of Language Functions for Subjects with Neurocognitive Disorder
Yuejiao Wang, Xianmin Gong, Lingwei Meng, Xixin Wu, Helen Meng · 2024
- Qwen2 Technical Report
An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan · 2024
- BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy
Tim Menzner, Jochen L. Leidner · 2024
- Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
Mark Russinovich, Yanan Cai, Ahmed Salem · 2024
- Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
Dilara Soylu, Christopher Potts, Omar Khattab · 2024
- A Unified Differentiable Boolean Operator with Fuzzy Logic
Hsueh-Ti Derek Liu, Maneesh Agrawala, Cem Yuksel, Tim Omernick, Vinith Misra, Stefano Corazza, Morgan McGuire, Victor Zordan · 2024
- Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu · 2024
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim · 2024
- Q-Sparse: All Large Language Models can be Fully Sparsely-Activated
Hongyu Wang, Shuming Ma, Ruiping Wang, Furu Wei · 2024
- The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators
Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala · 2024
- Does ChatGPT Have a Mind?
Simon Goldstein, Benjamin A. Levinstein · 2024
- A mathematical framework of intelligence and consciousness based on Riemannian Geometry
Meng Lu · 2024
- Reliable Reasoning Beyond Natural Language
Nasim Borazjanizadeh, Steven T. Piantadosi · 2024
- Semantic Operators: A Declarative Model for Rich, AI-based Data Processing
Liana Patel, Siddharth Jha, Melissa Pan, Harshit Gupta, Parth Asawa, Carlos Guestrin, Matei Zaharia · 2024
- Glass Transition in Monolayers of Rough Colloidal Ellipsoids
Jian Liang, Xuan Feng, Ning Zheng, Huaguang Wang, Ran Ni, Zexin Zhang · 2024
- Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs
Milo Lurati, Stijn Heldens, Alessio Sclocco, Ben van Werkhoven · 2024
- Scaling Diffusion Transformers to 16 Billion Parameters
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang · 2024
- Modal Effect Types
Wenhao Tang, Leo White, Stephen Dolan, Daniel Hillerström, Sam Lindley, Anton Lorenzen · 2024
- Does Refusal Training in LLMs Generalize to the Past Tense?
Maksym Andriushchenko, Nicolas Flammarion · 2024
- TreeSeg: Hierarchical Topic Segmentation of Large Transcripts
Dimitrios C. Gklezakos, Timothy Misiak, Diamond Bishop · 2024
- Understanding Transformers via N-gram Statistics
Timothy Nguyen · 2024
- GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression
Daniel Goldstein, Fares Obeid, Eric Alcaide, Guangyu Song, Eugene Cheah · 2024
- Skew-scattering Pockels effect and metallic electro-optics in gapped bilayer graphene
Da Ma, Ying Xiong, Justin C. W. Song · 2024
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan · 2024
- Questionable practices in machine learning
Gavin Leech, Juan J. Vazquez, Niclas Kupper, Misha Yagudin, Laurence Aitchison · 2024
- An Empirical Study of Static Analysis Tools for Secure Code Review
Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham, Christoph Treude · 2024
- WebAssembly and Security: a review
Gaetano Perrone, Simon Pietro Romano · 2024
- Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scale
Ayush Kaushal, Tejas Vaidhya, Arnab Kumar Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish · 2024
- Cabin: Confining Untrusted Programs within Confidential VMs
Benshan Mei, Saisai Xia, Wenhao Wang, Dongdai Lin · 2024
- PersLLM: A Personified Training Approach for Large Language Models
Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen, Zhenghao Liu, Zhiyuan Liu, Maosong Sun · 2024
- Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023
Piyu Ke, Philippe Ciais, Stephen Sitch, Wei Li, Ana Bastos, Zhu Liu, Yidi Xu, Xiaofan Gui, Jiang Bian, Daniel S Goll, Yi Xi, Wanjing Li, Michael O'Sullivan, Jeffeson Goncalves de Souza, Pierre Friedlingstein, Frederic Chevallier · 2024
- A polynomial-time classical algorithm for noisy quantum circuits
Thomas Schuster, Chao Yin, Xun Gao, Norman Y. Yao · 2024
- Data Collection and Labeling Techniques for Machine Learning
Qianyu Huang, Tongfang Zhao · 2024
- Evaluation of LLMs Biases Towards Elite Universities: A Persona-Based Exploration
Shailja Gupta, Rajesh Ranjan · 2024
- Truth is Universal: Robust Detection of Lies in LLMs
Lennart Bürger, Fred A. Hamprecht, Boaz Nadler · 2024
- Identifying the Source of Generation for Large Language Models
Bumjin Park, Jaesik Choi · 2024
- Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh · 2024
- CiteME: Can Language Models Accurately Cite Scientific Claims?
Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge · 2024
- ChatBCG: Can AI Read Your Slide Deck?
Nikita Singh, Rob Balian, Lukas Martinelli · 2024
- Exploring the Use of Abusive Generative AI Models on Civitai
Yiluo Wei, Yiming Zhu, Pan Hui, Gareth Tyson · 2024
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan O. Arik, Danqi Chen, Tao Yu · 2024
- Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
Tamer Abuelsaad, Deepak Akkil, Prasenjit Dey, Ashish Jagmohan, Aditya Vempaty, Ravi Kokku · 2024
- Unsafe Impedance: Safe Languages and Safe by Design Software
Lee Barney, Adolfo Neto · 2024
- Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures
Wonseok Choi, Jongmin Kim, Jung Ho Ahn · 2024
- Why you do not need to worry about the standard argument that you are a Boltzmann brain
Carlo Rovelli, David Wolpert · 2024
- LiNR: Model Based Neural Retrieval on GPUs at LinkedIn
Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta · 2024
- Combining Constraint Programming Reasoning with Large Language Model Predictions
Florian Régin, Elisabetta De Maria, Alexandre Bonlarron · 2024
- Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
Giorgio Franceschelli, Claudia Cevenini, Mirco Musolesi · 2024
- Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong · 2024
- Prover-Verifier Games improve legibility of LLM outputs
Jan Hendrik Kirchner, Yining Chen, Harri Edwards, Jan Leike, Nat McAleese, Yuri Burda · 2024
- Scaling Granite Code Models to 128K Context
Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogerio Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda · 2024
- Can light-rings self-gravitate?
Francesco Di Filippo, Luciano Rezzolla · 2024
- Attention in SRAM on Tenstorrent Grayskull
Moritz Thüning · 2024
- RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli · 2024
- LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi · 2024
- Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
Senthooran Rajamanoharan, Tom Lieberum, Nicolas Sonnerat, Arthur Conmy, Vikrant Varma, János Kramár, Neel Nanda · 2024
- InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
Rohan Gupta, Iván Arcuschin, Thomas Kwa, Adrià Garriga-Alonso · 2024
- Internal Consistency and Self-Feedback in Large Language Models: A Survey
Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Yi Wang, Zhonghao Wang, Feiyu Xiong, Zhiyu Li · 2024
- Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context
Nilanjana Das, Edward Raff, Manas Gaur · 2024
- Compact Language Models via Pruning and Knowledge Distillation
Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov · 2024
- Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights
Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou · 2024
- Consent in Crisis: The Rapid Decline of the AI Data Commons
Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland · 2024
- Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, Tom Ault, Leslie Barrett, David Rabinowitz, John Doucette, NhatHai Phan · 2024
- When Can Transformers Count to n?
Gilad Yehudai, Haim Kaplan, Guy Dar, Royi Rassin, Asma Ghandeharioun, Mor Geva, Amir Globerson · 2024
- A Survey on Employing Large Language Models for Text-to-SQL Tasks
Liang Shi, Zhengju Tang, Nan Zhang, Xiaotong Zhang, Zhi Yang · 2024
- Exploring the Design of Collaborative Applications via the Lens of NDN Workspace
Tianyuan Yu, Xinyu Ma, Varun Patil, Yekta Kocaogullar, Lixia Zhang · 2024
- Deep Learning for Economists
Melissa Dell · 2024
- Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai · 2024
- Discrete Flow Matching
Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman · 2024
- Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu · 2024
- Reconstructing Training Data From Real World Models Trained with Transfer Learning
Yakir Oz, Gilad Yehudai, Gal Vardi, Itai Antebi, Michal Irani, Niv Haim · 2024
- LLMmap: Fingerprinting For Large Language Models
Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese · 2024
- The Genomic Code: The genome instantiates a generative model of the organism
Kevin J. Mitchell, Nick Cheney · 2024
- A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
Pierre-Daniel Arsenault, Shengrui Wang, Jean-Marc Patenande · 2024
- A Programming Model for Disaggregated Memory over CXL
Gal Assa, Moritz Lumme, Lucas Bürgi, Michal Friedman, Ori Lahav · 2024
- MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning
Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Rădulescu · 2024
- Operational Umbral Calculus
Kei Beauduin · 2024
- DRAM Errors and Cosmic Rays: Space Invaders or Science Fiction?
Isaac Boixaderas, Jorge Amaya, Sergi Moré, Javier Bartolome, David Vicente, Osman Unsal, Dimitris Gizopoulos, Paul M. Carpenter, Petar Radojković, Eduard Ayguadé · 2024
- Shared Imagination: LLMs Hallucinate Alike
Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu · 2024
- KAN or MLP: A Fairer Comparison
Runpeng Yu, Weihao Yu, Xinchao Wang · 2024