All paper pages
28734 retained paper pages. Page 194 of 288.
- ExaLogLog: Space-Efficient and Practical Approximate Distinct Counting up to the Exa-Scale
Otmar Ertl · 2024
- LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang · 2024
- SDXL-Lightning: Progressive Adversarial Diffusion Distillation
Shanchuan Lin, Anran Wang, Xiao Yang · 2024
- Coercing LLMs to do and reveal (almost) anything
Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein · 2024
- Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Lucas Lehnert, Sainbayar Sukhbaatar, DiJia Su, Qinqing Zheng, Paul Mcvay, Michael Rabbat, Yuandong Tian · 2024
- EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang · 2024
- An expert system for diagnosing and treating heart disease
Blake Fernandino, Moein Samak Bisheh · 2024
- New evidence on the lost giant Chinguetti meteorite
Robert Warren, Stephen Warren, Ekaterini Protopapa · 2024
- Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, Monica S. Lam · 2024
- Learning to Kern: Set-wise Estimation of Optimal Letter Space
Kei Nakatsuru, Seiichi Uchida · 2024
- Quantum Circuit Optimization with AlphaTensor
Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli · 2024
- Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance
Ziqi Yin, Hao Wang, Kaito Horio, Daisuke Kawahara, Satoshi Sekine · 2024
- Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science
Vincent Holst, Andres Algaba, Floriano Tori, Sylvia Wenmackers, Vincent Ginis · 2024
- Object permanence in newborn chicks is robust against opposing evidence
Justin N. Wood, Tomer D. Ullman, Brian W. Wood, Elizabeth S. Spelke, Samantha M. W. Wood · 2024
- Clifford-Steerable Convolutional Neural Networks
Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré · 2024
- Zero-shot cross-lingual transfer in instruction tuning of large language models
Nadezhda Chirkova, Vassilina Nikoulina · 2024
- Text Diffusion with Reinforced Conditioning
Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang · 2024
- Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Mosh Levy, Alon Jacoby, Yoav Goldberg · 2024
- Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning
Philipp Mondorf, Barbara Plank · 2024
- Is the System Message Really Important to Jailbreaks in Large Language Models?
Xiaotian Zou, Yongkang Chen, Ke Li · 2024
- Ranking Large Language Models without Ground Truth
Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy · 2024
- Technical Report on the Pangram AI-Generated Text Classifier
Bradley Emi, Max Spero · 2024
- Evaluating the Efficacy of LLMs to Emulate Realistic Human Personalities
Lawrence J. Klinkert, Stephanie Buongiorno, Corey Clark · 2024
- Chain-of-Thought Unfaithfulness as Disguised Accuracy
Oliver Bentham, Nathan Stringham, Ana Marasović · 2024
- A Usage-centric Take on Intent Understanding in E-Commerce
Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan · 2024
- Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs
Aaditya K. Singh, DJ Strouse · 2024
- Watermarking Makes Language Models Radioactive
Tom Sander, Pierre Fernandez, Alain Durmus, Matthijs Douze, Teddy Furon · 2024
- MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Zechun Liu, Changsheng Zhao, Forrest Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra · 2024
- Unintended Impacts of LLM Alignment on Global Representation
Michael J. Ryan, William Held, Diyi Yang · 2024
- CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models
Santiago Castro, Amir Ziai, Avneesh Saluja, Zhuoning Yuan, Rada Mihalcea · 2024
- The Flower Calculus
Pablo Donato · 2024
- High Resolution Guitar Transcription via Domain Adaptation
Xavier Riley, Drew Edwards, Simon Dixon · 2024
- Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
Bruno Gavranović, Paul Lessard, Andrew Dudzik, Tamara von Glehn, João G. M. Araújo, Petar Veličković · 2024
- Genie: Generative Interactive Environments
Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel · 2024
- Large Scale Generative AI Text Applied to Sports and Music
Aaron Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogerio Feris · 2024
- Evaluating the Performance of ChatGPT for Spam Email Detection
Shijing Si, Yuwei Wu, Le Tang, Yugui Zhang, Jedrek Wosik, Qinliang Su · 2024
- Deep Networks Always Grok and Here is Why
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk · 2024
- Language-Based User Profiles for Recommendation
Joyce Zhou, Yijia Dai, Thorsten Joachims · 2024
- MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu · 2024
- Universal Model in Online Customer Service
Shu-Ting Pi, Cheng-Ping Hsieh, Qun Liu, Yuying Zhu · 2024
- Formally Verified C Code Generation from Hybrid Communicating Sequential Processes
Shuling Wang, Zekun Ji, Bohua Zhan, Xiong Xu, Qiang Gao, Naijun Zhan · 2024
- How Do Humans Write Code? Large Models Do It the Same Way Too
Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He · 2024
- Statistical Games
Jozsef Konczer · 2024
- Consensus learning: A novel decentralised ensemble learning paradigm
Horia Magureanu, Naïri Usher · 2024
- Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang · 2024
- Defending LLMs against Jailbreaking Attacks via Backtranslation
Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh · 2024
- A brief tutorial on information theory
Tarek Tohme, William Bialek · 2024
- StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Alex Zhuang, Ge Zhang, Tianyu Zheng, Xinrun Du, Junjie Wang, Weiming Ren, Stephen W. Huang, Jie Fu, Xiang Yue, Wenhu Chen · 2024
- CARTE: Pretraining and Transfer for Tabular Learning
Myung Jun Kim, Léo Grinsztajn, Gaël Varoquaux · 2024
- Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Rose Kirk, Hinrich Schütze, Dirk Hovy · 2024
- If in a Crowdsourced Data Annotation Pipeline, a GPT-4
Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao 'Kenneth' Huang · 2024
- Nemotron-4 15B Technical Report
Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan Cohen, Bryan Catanzaro · 2024
- Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob Foerster, Tim Rocktäschel, Roberta Raileanu · 2024
- Language Agents as Optimizable Graphs
Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber · 2024
- A Survey on Data Selection for Language Models
Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang · 2024
- Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
Li Zhong, Zilong Wang, Jingbo Shang · 2024
- DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh · 2024
- PromptSet: A Programmer's Prompting Dataset
Kaiser Pister, Dhruba Jyoti Paul, Patrick Brophy, Ishan Joshi · 2024
- New Prospects for a Causally Local Formulation of Quantum Theory
Jacob A. Barandes · 2024
- Transparent Image Layer Diffusion using Latent Transparency
Lvmin Zhang, Maneesh Agrawala · 2024
- Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, Yinghai Lu, Yu Shi · 2024
- Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun · 2024
- MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
Debrup Das, Debopriyo Banerjee, Somak Aditya, Ashish Kulkarni · 2024
- A Constraint-based Mathematical Modeling Library in Prolog with Answer Constraint Semantics
François Fages · 2024
- Sora Generates Videos with Stunning Geometrical Consistency
Xuanyi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng · 2024
- Training-Free Long-Context Scaling of Large Language Models
Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong · 2024
- EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Linrui Tian, Qi Wang, Bang Zhang, Liefeng Bo · 2024
- Rose: Composable Autodiff for the Interactive Web
Sam Estep, Wode Ni, Raven Rothkopf, Joshua Sunshine · 2024
- Evaluating Very Long-Term Conversational Memory of LLM Agents
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang · 2024
- The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei · 2024
- TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
Shaolei Zhang, Tian Yu, Yang Feng · 2024
- Stable LM 2 1.6B Technical Report
Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccolo Zanichelli, Carlos Riquelme · 2024
- Renormalisation of postquantum-classical gravity
Andrzej Grudka, Tim R. Morris, Jonathan Oppenheim, Andrea Russo, Muhammad Sajjad · 2024
- Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun Qi, Scott Nickleach, Diego Socolinsky, Srinivasan Sengamedu, Christos Faloutsos · 2024
- Datasets for Large Language Models: A Comprehensive Survey
Yang Liu, Jiahuan Cao, Chongyu Liu, Kai Ding, Lianwen Jin · 2024
- Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Shaoyang Xu, Weilong Dong, Zishan Guo, Xinwei Wu, Deyi Xiong · 2024
- Diffusion-Based Neural Network Weights Generation
Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang · 2024
- Evaluating Quantized Large Language Models
Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang · 2024
- RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval
Kaiyue Wen, Xingyu Dang, Kaifeng Lyu · 2024
- Approaching Human-Level Forecasting with Language Models
Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt · 2024
- Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
Miloš Košprdić, Adela Ljajić, Bojana Bašaragin, Darija Medvecki, Nikola Milošević · 2024
- Large Language Models and Games: A Survey and Roadmap
Roberto Gallotta, Graham Todd, Marvin Zammit, Sam Earle, Antonios Liapis, Julian Togelius, Georgios N. Yannakakis · 2024
- Simple linear attention language models balance the recall-throughput tradeoff
Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré · 2024
- Data Interpreter: An LLM Agent For Data Science
Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Ceyao Zhang, Chenxing Wei, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zhibin Gou, Zongze Xu, Chenglin Wu · 2024
- Acoustic tactile sensing for mobile robot wheels
Wilfred Mason, David Brenken, Falcon Z. Dai, Ricardo Gonzalo Cruz Castillo, Olivier St-Martin Cormier, Audrey Sedal · 2024
- Hefty: A Modular Reconfigurable Robot for Advancing Robot Manipulation in Agriculture
Dominic Guri, Moonyoung Lee, Oliver Kroemer, George Kantor · 2024
- Priority Sampling of Large Language Models for Compilers
Dejan Grubisic, Chris Cummins, Volker Seeker, Hugh Leather · 2024
- Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis
Ismail Emir Yuksel, Yahya Can Tugrul, Ataberk Olgun, F. Nisa Bostanci, A. Giray Yaglikci, Geraldo F. Oliveira, Haocong Luo, Juan Gómez-Luna, Mohammad Sadrosadati, Onur Mutlu · 2024
- MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking
Huaxiaoyue Wang, Kushal Kedia, Juntao Ren, Rahma Abdullah, Atiksh Bhardwaj, Angela Chao, Kelly Y Chen, Nathaniel Chin, Prithwish Dan, Xinyi Fan, Gonzalo Gonzalez-Pumariega, Aditya Kompella, Maximus Adrian Pace, Yash Sharma, Xiangwan Sun, Neha Sunkara, Sanjiban Choudhury · 2024
- How do Large Language Models Handle Multilingualism?
Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing · 2024
- Beyond Language Models: Byte Models are Digital World Simulators
Shangda Wu, Xu Tan, Zili Wang, Rui Wang, Xiaobing Li, Maosong Sun · 2024
- StarCoder 2 and The Stack v2: The Next Generation
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries · 2024
- High Expectations: An Observational Study of Programming and Cannabis Intoxication
Wenxin He, Manasvi Parikh, Westley Weimer, Madeline Endres · 2024
- Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
Philipp Schoenegger, Indre Tuminauskaite, Peter S. Park, Philip E. Tetlock · 2024
- Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George Cristian-Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando De Freitas, Caglar Gulcehre · 2024
- Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
Frederik Kunstner, Robin Yadav, Alan Milligan, Mark Schmidt, Alberto Bietti · 2024
- Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
Saurabh Srivastava, Annarose M B, Anto P, Shashank Menon, Ajay Sukumar, Adwaith Samod T, Alan Philipose, Stevin Prince, Sooraj Thomas · 2024
- Anomalous contribution to galactic rotation curves due to stochastic spacetime
Jonathan Oppenheim, Andrea Russo · 2024
- Humanoid Locomotion as Next Token Prediction
Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik · 2024
- An All-Optical General-Purpose CPU and Optical Computer Architecture
Michael Kissner, Leonardo Del Bino, Felix Päsler, Peter Caruana, George Ghalanos · 2024