All paper pages
28734 retained paper pages. Page 214 of 288.
- Lattice-Valued Bottleneck Duality
Robert Ghrist, Julian Gould, Miguel Lopez · 2024
- Quantum Bayes' rule and Petz transpose map from the minimum change principle
Ge Bai, Francesco Buscemi, Valerio Scarani · 2024
- Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
Sai Ganga, Ziya Uddin · 2024
- Building a simple oscillator based Ising machine for research and education
Bernd Ulmann, Shrish Roy · 2024
- TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Zonghang Li, Wenjiao Feng, Mohsen Guizani, Hongfang Yu · 2024
- Age and Cognitive Skills: Use It or Lose It
Eric A. Hanushek, Lavinia Kinne, Frauke Witthoeft, Ludger Woessmann · 2024
- Developing a BLAS library for the AMD AI Engine
Tristan Laan, Tiziano De Matteis · 2024
- Addition is All You Need for Energy-efficient Language Models
Hongyin Luo, Wei Sun · 2024
- Uncovering the Viral Nature of Toxicity in Competitive Online Video Games
Jacob Morrier, Amine Mahmassani, R. Michael Alvarez · 2024
- Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon
Seohyun Song, Eunkyul Leah Jo, Yige Chen, Jeen-Pyo Hong, Kyuwon Kim, Jin Wee, Miyoung Kang, KyungTae Lim, Jungyeul Park, Chulwoo Park · 2024
- Approximately Aligned Decoding
Daniel Melcer, Sujan Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras · 2024
- Softmax is not Enough (for Sharp Size Generalisation)
Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu · 2024
- nGPT: Normalized Transformer with Representation Learning on the Hypersphere
Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg · 2024
- Were RNNs All We Needed?
Leo Feng, Frederick Tung, Mohamed Osama Ahmed, Yoshua Bengio, Hossein Hajimirsadeghi · 2024
- From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Yuling Shi, Songsong Wang, Chengcheng Wan, Min Wang, Xiaodong Gu · 2024
- A complete formalization of Fermat's Last Theorem for regular primes in Lean
Alex Best, Christopher Birkbeck, Riccardo Brasca, Eric Rodriguez Boidi, Ruben van De Velde, Andrew Yang · 2024
- Automated Red Teaming with GOAT: the Generative Offensive Agent Tester
Maya Pavlova, Erik Brinkman, Krithika Iyer, Vitor Albiero, Joanna Bitton, Hailey Nguyen, Joe Li, Cristian Canton Ferrer, Ivan Evtimov, Aaron Grattafiori · 2024
- Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Zeyu Gan, Yong Liu · 2024
- Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks
Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Dong Yu, Meng Jiang · 2024
- When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1
R. Thomas McCoy, Shunyu Yao, Dan Friedman, Mathew D. Hardy, Thomas L. Griffiths · 2024
- Thermodynamic Bayesian Inference
Maxwell Aifer, Samuel Duffield, Kaelan Donatella, Denis Melanson, Phoebe Klett, Zach Belateche, Gavin Crooks, Antonio J. Martinez, Patrick J. Coles · 2024
- Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases
Yusheng Zheng, Yiwei Yang, Haoqin Tu, Yuxi Huang · 2024
- Auction-Based Regulation for Artificial Intelligence
Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang · 2024
- Generic Multicast (Extended Version)
José Augusto Bolina, Pierre Sutra, Douglas Antunes Rocha, Lasaro Camargos · 2024
- RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Quentin Carbonneaux, Taco Cohen, Gabriel Synnaeve · 2024
- Mitigating Memorization In Language Models
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian Foster, Michael W. Mahoney · 2024
- Non-perturbative guiding center model for magnetized plasmas
J. W. Burby, I. A. Maldonado, M. Ruth, D. A. Messenger · 2024
- Fragility of Chess positions: measure, universality and tipping points
Marc Barthelemy · 2024
- A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond
Shubhi Bansal, Sreeharish A, Madhava Prasath J, Manikandan S, Sreekanth Madisetty, Mohammad Zia Ur Rehman, Chandravardhan Singh Raghaw, Gaurav Duggal, Nagendra Kumar · 2024
- MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester, Ernst Röell, Daniel Bīn Schmid, Mathieu Alain, Sergio Escalera, Carles Casacuberta, Bastian Rieck · 2024
- Encryption-Friendly LLM Architecture
Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Ernest K. Ryu, Jung Hee Cheon · 2024
- Contextual Document Embeddings
John X. Morris, Alexander M. Rush · 2024
- Intelligence at the Edge of Chaos
Shiyang Zhang, Aakash Patel, Syed A Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk · 2024
- GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering
Hongze Chen, Zehong Lin, Jun Zhang · 2024
- HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen · 2024
- Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb · 2024
- Selective Attention Improves Transformer
Yaniv Leviathan, Matan Kalman, Yossi Matias · 2024
- LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov · 2024
- Large Language Models as Markov Chains
Oussama Zekri, Ambroise Odonnat, Abdelhakim Benechehab, Linus Bleistein, Nicolas Boullé, Ievgen Redko · 2024
- Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation
Rohin Manvi, Anikait Singh, Stefano Ermon · 2024
- MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu · 2024
- Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus · 2024
- Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation
Václav Blahut, Karel Koupil · 2024
- Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker, Shengyuan Hu, Neil Kale, Yash Maurya, Zhiwei Steven Wu, Virginia Smith · 2024
- LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou · 2024
- NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild
Shikhar Murty, Hao Zhu, Dzmitry Bahdanau, Christopher D. Manning · 2024
- AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Patara Trirat, Wonyong Jeong, Sung Ju Hwang · 2024
- Uncovering the New Accessibility Crisis in Scholarly PDFs
Anukriti Kumar, Lucy Lu Wang · 2024
- Autoregressive Large Language Models are Computationally Universal
Dale Schuurmans, Hanjun Dai, Francesco Zanini · 2024
- Feedback Processes causing an AMOC Collapse in the Community Earth System Model
Elian Vanderborght, René M. van Westen, Henk A. Dijkstra · 2024
- TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation
Jonathan Cook, Tim Rocktäschel, Jakob Foerster, Dennis Aumiller, Alex Wang · 2024
- Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated
Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang · 2024
- Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs
Mehdi Ali, Michael Fromm, Klaudia Thellmann, Jan Ebert, Alexander Arno Weber, Richard Rutmann, Charvi Jain, Max Lübbering, Daniel Steinigen, Johannes Leveling, Katrin Klug, Jasper Schulze Buschhoff, Lena Jurkschat, Hammam Abdelwahab, Benny Jörg Stein, Karl-Heinz Sylla, Pavel Denisov, Nicolo' Brandizzi, Qasid Saleem, Anirban Bhowmick, Lennard Helmer, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Alex Jude, Lalith Manjunath, Samuel Weinbach, Carolin Penke, Oleg Filatov, Fabio Barth, Paramita Mirza, Lucas Weber, Ines Wendler, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr · 2024
- Unsupervised Human Preference Learning
Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani-Tür · 2024
- SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain · 2024
- Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs
Yohan Mathew, Ollie Matthews, Robert McCarthy, Joan Velja, Christian Schroeder de Witt, Dylan Cope, Nandi Schoots · 2024
- SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
John Yang, Carlos E. Jimenez, Alex L. Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik R. Narasimhan, Diyi Yang, Sida I. Wang, Ofir Press · 2024
- Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
Sijin Chen, Omar Hagrass, Jason M. Klusowski · 2024
- Epsilon-VAE: Denoising as Visual Decoding
Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu · 2024
- Applying Quantum Autoencoders for Time Series Anomaly Detection
Robin Frehner, Kurt Stockinger · 2024
- Primes of the form $p^2 + nq^2$
Ben Green, Mehtaab Sawhney · 2024
- AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Chandu, Nouha Dziri, Yejin Choi · 2024
- Gradient Routing: Masking Gradients to Localize Computation in Neural Networks
Alex Cloud, Jacob Goldman-Wetzler, Evžen Wybitul, Joseph Miller, Alexander Matt Turner · 2024
- Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
Xunjian Yin, Xinyi Wang, Liangming Pan, Li Lin, Xiaojun Wan, William Yang Wang · 2024
- Grokking at the Edge of Linear Separability
Alon Beck, Noam Levi, Yohai Bar-Sinai · 2024
- KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik · 2024
- TableRAG: Million-Token Table Understanding with Language Models
Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister · 2024
- Strong Model Collapse
Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe · 2024
- Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law
Yongming Chen, Miner Chen, Ye Zhu, Juan Pei, Siyu Chen, Yu Zhou, Yi Wang, Yifan Zhou, Hao Li, Songan Zhang · 2024
- Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
Kosuke Nishida, Kyosuke Nishida, Kuniko Saito · 2024
- Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective
Kaiyue Wen, Zhiyuan Li, Jason Wang, David Hall, Percy Liang, Tengyu Ma · 2024
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar · 2024
- Differential Transformer
Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei · 2024
- Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs
Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell · 2024
- Generating CAD Code with Vision-Language Models for 3D Designs
Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi, Megan Langwasser, Wei Xu, Matthew Gombolay · 2024
- Diffusion Model Predictive Control
Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Murphy · 2024
- It's Not Easy Being Green: On the Energy Efficiency of Programming Languages
Nicolas van Kempen, Hyuk-Je Kwon, Dung Tuan Nguyen, Emery D. Berger · 2024
- Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos · 2024
- Hybrid Gripper with Passive Pneumatic Soft Joints for Grasping Deformable Thin Objects
Ngoc-Duy Tran, Hoang-Hiep Ly, Xuan-Thuan Nguyen, Thi-Thoa Mac, Anh Nguyen, Tung D. Ta · 2024
- From Tokens to Words: On the Inner Lexicon of LLMs
Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz · 2024
- Deep neural network-based detection of counterfeit products from smartphone images
Hugo Garcia-Cotte, Dorra Mellouli, Abdul Rehman, Li Wang, David G. Stork · 2024
- Aria: An Open Multimodal Native Mixture-of-Experts Model
Dongxu Li, Yudong Liu, Haoning Wu, Yue Wang, Zhiqi Shen, Bowen Qu, Xinyao Niu, Fan Zhou, Chengen Huang, Yanpeng Li, Chongyan Zhu, Xiaoyi Ren, Chao Li, Yifan Ye, Peng Liu, Lihuan Zhang, Hanshu Yan, Guoyin Wang, Bei Chen, Junnan Li · 2024
- EgoSocialArena: Benchmarking the Social Intelligence of Large Language Models from a First-person Perspective
Guiyang Hou, Wenqi Zhang, Yongliang Shen, Zeqi Tan, Sihao Shen, Weiming Lu · 2024
- Round and Round We Go! What makes Rotary Positional Encodings useful?
Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Veličković · 2024
- RL, but don't do anything I wouldn't do
Michael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell · 2024
- Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects
Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil · 2024
- Restructuring Vector Quantization with the Rotation Trick
Christopher Fifty, Ronald G. Junkins, Dennis Duan, Aniketh Iyengar, Jerry W. Liu, Ehsan Amid, Sebastian Thrun, Christopher Ré · 2024
- Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin · 2024
- Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie · 2024
- The Conjecture of Dixmier for the first Weyl algebra is true
Alexander Zheglov · 2024
- Variational approach to photonic quantum circuits via the parameter shift rule
Francesco Hoch, Giovanni Rodari, Taira Giordani, Paul Perret, Nicolò Spagnolo, Gonzalo Carvacho, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Fabio Sciarrino · 2024
- SWE-Bench+: Enhanced Coding Benchmark for LLMs
Reem Aleithan, Haoran Xue, Mohammad Mahdi Mohajer, Elijah Nnorom, Gias Uddin, Song Wang · 2024
- Robots in the Middle: Evaluating LLMs in Dispute Resolution
Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari, Jaromír Šavelka, Sébastien Meeùs, Mia Godet, Karim Benyekhlef · 2024
- Pixtral 12B
Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, Baptiste Bout, Devendra Chaplot, Jessica Chudnovsky, Diogo Costa, Baudouin De Monicault, Saurabh Garg, Theophile Gervet, Soham Ghosh, Amélie Héliou, Paul Jacob, Albert Q. Jiang, Kartik Khandelwal, Timothée Lacroix, Guillaume Lample, Diego Las Casas, Thibaut Lavril, Teven Le Scao, Andy Lo, William Marshall, Louis Martin, Arthur Mensch, Pavankumar Muddireddy, Valera Nemychnikova, Marie Pellat, Patrick Von Platen, Nikhil Raghuraman, Baptiste Rozière, Alexandre Sablayrolles, Lucile Saulnier, Romain Sauvestre, Wendy Shang, Roman Soletskyi, Lawrence Stewart, Pierre Stock, Joachim Studnia, Sandeep Subramanian, Sagar Vaze, Thomas Wang, Sophia Yang · 2024
- Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin · 2024
- Toward generalizable learning of all (linear) first-order methods via memory augmented Transformers
Sanchayan Dutta, Suvrit Sra · 2024
- Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
Donghyun Lee, Mo Tiwari · 2024
- IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
Shubham Ugare, Rohan Gumaste, Tarun Suresh, Gagandeep Singh, Sasa Misailovic · 2024
- Can Transformers Reason Logically? A Study in SAT Solving
Leyan Pan, Vijay Ganesh, Jacob Abernethy, Chris Esposo, Wenke Lee · 2024
- Skip Hash: A Fast Ordered Map Via Software Transactional Memory
Matthew Rodriguez, Vitaly Aksenov, Michael Spear · 2024