All paper pages
28734 retained paper pages. Page 213 of 288.
- Scaling FP8 training to trillion-token LLMs
Maxim Fishman, Brian Chmiel, Ron Banner, Daniel Soudry · 2024
- Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
Santosh Kumar Radha, Yasamin Nouri Jelyani, Ara Ghukasyan, Oktay Goktas · 2024
- Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay Ramasesh, Quoc Le, Ed Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska · 2024
- Language Models Learn to Mislead Humans via RLHF
Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Samuel R. Bowman, He He, Shi Feng · 2024
- Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case
Peng Chen, Pi Bu, Jun Song, Yuan Gao, Bo Zheng · 2024
- Training Language Models to Self-Correct via Reinforcement Learning
Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal Behbahani, Aleksandra Faust · 2024
- Wavelet GPT: Wavelet Inspired Large Language Models
Prateek Verma · 2024
- Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey, Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui · 2024
- Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models
Gracjan Góral, Alicja Ziarko, Michal Nauman, Maciej Wołczyk · 2024
- Across-Game Engagement Modelling via Few-Shot Learning
Kosmas Pinitas, Konstantinos Makantasis, Georgios N. Yannakakis · 2024
- Fear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War Bloggers
Patrick Gerard, William Theisen, Tim Weninger, Kristina Lerman · 2024
- Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems
Andrea Colombo · 2024
- LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
Karthik Valmeekam, Kaya Stechly, Subbarao Kambhampati · 2024
- Parameterized Local Search for Max $c$-Cut
Jaroslav Garvardt, Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz · 2024
- Prithvi WxC: Foundation Model for Weather and Climate
Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher E Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik Hamann, Campbell Watson, Manil Maskey, Tsengdar J Lee, Juan Bernabe Moreno, Rahul Ramachandran · 2024
- Transformers in Uniform TC$^0$
David Chiang · 2024
- You Only Use Reactive Attention Slice For Long Context Retrieval
Yun Joon Soh, Hanxian Huang, Yuandong Tian, Jishen Zhao · 2024
- Prompt Baking
Aman Bhargava, Cameron Witkowski, Alexander Detkov, Matt Thomson · 2024
- KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
Lei Liang, Mengshu Sun, Zhengke Gui, Zhongshu Zhu, Zhouyu Jiang, Ling Zhong, Yuan Qu, Peilong Zhao, Zhongpu Bo, Jin Yang, Huaidong Xiong, Lin Yuan, Jun Xu, Zaoyang Wang, Zhiqiang Zhang, Wen Zhang, Huajun Chen, Wenguang Chen, Jun Zhou · 2024
- Language agents achieve superhuman synthesis of scientific knowledge
Michael D. Skarlinski, Sam Cox, Jon M. Laurent, James D. Braza, Michaela Hinks, Michael J. Hammerling, Manvitha Ponnapati, Samuel G. Rodriques, Andrew D. White · 2024
- Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri · 2024
- Do Large Language Models Need a Content Delivery Network?
Yihua Cheng, Kuntai Du, Jiayi Yao, Junchen Jiang · 2024
- Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models
Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kaiwei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James Glass, Shinji Watanabe, Hung-yi Lee · 2024
- Efficient and Effective Model Extraction
Hongyu Zhu, Wentao Hu, Sichu Liang, Fangqi Li, Wenwen Wang, Shilin Wang · 2024
- Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI
Gaël Varoquaux, Alexandra Sasha Luccioni, Meredith Whittaker · 2024
- Loop Neural Networks for Parameter Sharing
Kei-Sing Ng, Qingchen Wang · 2024
- Collaborative Text Editing with Eg-walker: Better, Faster, Smaller
Joseph Gentle, Martin Kleppmann · 2024
- Multi-Grained Specifications for Distributed System Model Checking and Verification
Lingzhi Ouyang, Xudong Sun, Ruize Tang, Yu Huang, Madhav Jivrajani, Xiaoxing Ma, Tianyin Xu · 2024
- Self-sustaining living habitats in extraterrestrial environments
R. Wordsworth, C. Cockell · 2024
- Why Is Anything Conscious?
Michael Timothy Bennett, Sean Welsh, Anna Ciaunica · 2024
- Backtracking Improves Generation Safety
Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel M. Bikel, Jason Weston, Eric Michael Smith · 2024
- Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao, Yuqing Yang, Zilong Wang, Zhiyuan He, Luna K. Qiu, Lili Qiu · 2024
- Don't Use LLMs to Make Relevance Judgments
Ian Soboroff · 2024
- Predicting Expert Evaluations in Software Code Reviews
Yegor Denisov-Blanch, Igor Ciobanu, Simon Obstbaum, Michal Kosinski · 2024
- Skills Made to Order: Efficient Acquisition of Robot Cooking Skills Guided by Multiple Forms of Internet Data
Mrinal Verghese, Christopher Atkeson · 2024
- Archon: An Architecture Search Framework for Inference-Time Techniques
Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Guha, E. Kelly Buchanan, Mayee Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini · 2024
- A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou · 2024
- Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong · 2024
- Irrelevant Alternatives Bias Large Language Model Hiring Decisions
Kremena Valkanova, Pencho Yordanov · 2024
- Towards Social AI: A Survey on Understanding Social Interactions
Sangmin Lee, Minzhi Li, Bolin Lai, Wenqi Jia, Fiona Ryan, Xu Cao, Ozgur Kara, Bikram Boote, Weiyan Shi, Diyi Yang, James M. Rehg · 2024
- On the Complexity of Neural Computation in Superposition
Micah Adler, Nir Shavit · 2024
- Recall: Empowering Multimodal Embedding for Edge Devices
Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Mengwei Xu · 2024
- An Informatics Framework for the Design of Sustainable, Chemically Recyclable, Synthetically-Accessible and Durable Polymers
Joseph Kern, Yongliang Su, Will Gutekunst, Rampi Ramprasad · 2024
- Block-Attention for Efficient Prefilling
Dongyang Ma, Yan Wang, Lan Tian · 2024
- VERA: Validation and Enhancement for Retrieval Augmented systems
Nitin Aravind Birur, Tanay Baswa, Divyanshu Kumar, Jatan Loya, Sahil Agarwal, Prashanth Harshangi · 2024
- CUTE: Measuring LLMs' Understanding of Their Tokens
Lukas Edman, Helmut Schmid, Alexander Fraser · 2024
- From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding
Henri Arno, Paloma Rabaey, Thomas Demeester · 2024
- Analyzing Privacy Implications of Data Collection in Android Automotive OS
Bulut Gözübüyük, Brian Tang, Kang G. Shin, Mert D. Pesé · 2024
- The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking
Zengrui Liu, Jimmy Dani, Yinzhi Cao, Shujiang Wu, Nitesh Saxena · 2024
- Zero-shot forecasting of chaotic systems
Yuanzhao Zhang, William Gilpin · 2024
- Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu · 2024
- GPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes
Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan · 2024
- Seeing Faces in Things: A Model and Dataset for Pareidolia
Mark Hamilton, Simon Stent, Vasha DuTell, Anne Harrington, Jennifer Corbett, Ruth Rosenholtz, William T. Freeman · 2024
- MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling
Yifang Men, Yuan Yao, Miaomiao Cui, Liefeng Bo · 2024
- Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu · 2024
- EuroLLM: Multilingual Language Models for Europe
Pedro Henrique Martins, Patrick Fernandes, João Alves, Nuno M. Guerreiro, Ricardo Rei, Duarte M. Alves, José Pombal, Amin Farajian, Manuel Faysse, Mateusz Klimaszewski, Pierre Colombo, Barry Haddow, José G. C. de Souza, Alexandra Birch, André F. T. Martins · 2024
- Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco · 2024
- First Past the Post: Evaluating Query Optimization in MongoDB
Dawei Tao, Enqi Liu, Sidath Randeni Kadupitige, Michael Cahill, Alan Fekete, Uwe Röhm · 2024
- A gas-rich cosmic web revealed by the partitioning of the missing baryons
Liam Connor, Vikram Ravi, Kritti Sharma, Stella Koch Ocker, Jakob Faber, Gregg Hallinan, Charlie Harnach, Greg Hellbourg, Rick Hobbs, David Hodge, Mark Hodges, Nikita Kosogorov, James Lamb, Casey Law, Paul Rasmussen, Myles Sherman, Jean Somalwar, Sander Weinreb, David Woody, Ralf M. Konietzka · 2024
- INT-FlashAttention: Enabling Flash Attention for INT8 Quantization
Shimao Chen, Zirui Liu, Zhiying Wu, Ce Zheng, Peizhuang Cong, Zihan Jiang, Yuhan Wu, Lei Su, Tong Yang · 2024
- FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
Fazal Mittu, Yihuan Bu, Akshat Gupta, Ashok Devireddy, Alp Eren Ozdarendeli, Anant Singh, Gopala Anumanchipalli · 2024
- Mamba for Scalable and Efficient Personalized Recommendations
Andrew Starnes, Clayton Webster · 2024
- Cross-Domain Content Generation with Domain-Specific Small Language Models
Ankit Maloo, Abhinav Garg · 2024
- Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies
Ritwik Gupta, Leah Walker, Rodolfo Corona, Stephanie Fu, Suzanne Petryk, Janet Napolitano, Trevor Darrell, Andrew W. Reddie · 2024
- Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning
Debargha Ganguly, Srinivasan Iyengar, Vipin Chaudhary, Shivkumar Kalyanaraman · 2024
- Steering LLM Summarization with Visual Workspaces for Sensemaking
Xuxin Tang, Eric Krokos, Can Liu, Kylie Davidson, Kirsten Whitley, Naren Ramakrishnan, Chris North · 2024
- Surface conduction and reduced electrical resistivity in ultrathin noncrystalline NbP semimetal
Asir Intisar Khan, Akash Ramdas, Emily Lindgren, Hyun-Mi Kim, Byoungjun Won, Xiangjin Wu, Krishna Saraswat, Ching-Tzu Chen, Yuri Suzuki, Felipe H. da Jornada, Il-Kwon Oh, Eric Pop · 2024
- Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
Athar Mahmoudi-Nejad, Matthew Guzdial, Pierre Boulanger · 2024
- Copying style, Extracting value: Illustrators' Perception of AI Style Transfer and its Impact on Creative Labor
Julien Porquet, Sitong Wang, Lydia B. Chilton · 2024
- Results of the Big ANN: NeurIPS'23 competition
Harsha Vardhan Simhadri, Martin Aumüller, Amir Ingber, Matthijs Douze, George Williams, Magdalen Dobson Manohar, Dmitry Baranchuk, Edo Liberty, Frank Liu, Ben Landrum, Mazin Karjikar, Laxman Dhulipala, Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng, Zihao Wan, Jie Yin, Ben Huang · 2024
- Robust Ladder Climbing with a Quadrupedal Robot
Dylan Vogel, Robert Baines, Joseph Church, Julian Lotzer, Karl Werner, Marco Hutter · 2024
- Software Security Analysis in 2030 and Beyond: A Research Roadmap
Marcel Böhme, Eric Bodden, Tevfik Bultan, Cristian Cadar, Yang Liu, Giuseppe Scanniello · 2024
- ReThink: Reveal the Threat of Electromagnetic Interference on Power Inverters
Fengchen Yang, Zihao Dan, Kaikai Pan, Chen Yan, Xiaoyu Ji, Wenyuan Xu · 2024
- Data-Prep-Kit: getting your data ready for LLM application development
David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Constantin Adam, Abdulhamid Adebayo, Sungeun An, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Michele Dolfi, Hajar Emami-Gohari, Revital Eres, Takuya Goto, Dhiraj Joshi, Yan Koyfman, Mohammad Nassar, Hima Patel, Paramesvaran Selvam, Yousaf Shah, Saptha Surendran, Daiki Tsuzuku, Petros Zerfos, Shahrokh Daijavad · 2024
- Input-Dependent Power Usage in GPUs
Theo Gregersen, Pratyush Patel, Esha Choukse · 2024
- Evaluation of OpenAI o1: Opportunities and Challenges of AGI
Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Zeyu Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yiheng Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Lifeng Chen, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tuo Zhang, Tianming Liu · 2024
- A Static Analysis of Popular C Packages in Linux
Jukka Ruohonen, Mubashrah Saddiqa, Krzysztof Sierszecki · 2024
- Hello SME! Generating Fast Matrix Multiplication Kernels Using the Scalable Matrix Extension
Stefan Remke, Alexander Breuer · 2024
- Classical Statistical (In-Sample) Intuitions Don't Generalize Well: A Note on Bias-Variance Tradeoffs, Overfitting and Moving from Fixed to Random Designs
Alicia Curth · 2024
- Emu3: Next-Token Prediction is All You Need
Xinlong Wang, Xiaosong Zhang, Zhengxiong Luo, Quan Sun, Yufeng Cui, Jinsheng Wang, Fan Zhang, Yueze Wang, Zhen Li, Qiying Yu, Yingli Zhao, Yulong Ao, Xuebin Min, Tao Li, Boya Wu, Bo Zhao, Bowen Zhang, Liangdong Wang, Guang Liu, Zheqi He, Xi Yang, Jingjing Liu, Yonghua Lin, Tiejun Huang, Zhongyuan Wang · 2024
- Confidential Prompting: Privacy-preserving LLM Inference on Cloud
Caihua Li, In Gim, Lin Zhong · 2024
- HybridFlow: A Flexible and Efficient RLHF Framework
Guangming Sheng, Chi Zhang, Zilingfeng Ye, Xibin Wu, Wang Zhang, Ru Zhang, Yanghua Peng, Haibin Lin, Chuan Wu · 2024
- Model X-Ray: Detection of Hidden Malware in AI Model Weights using Few Shot Learning
Daniel Gilkarov, Ran Dubin · 2024
- Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci · 2024
- Automated conjecturing with \emph{TxGraffiti}
Randy Davila · 2024
- 2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models
Jia-Nan Li, Jian Guan, Wei Wu, Zhengtao Yu, Rui Yan · 2024
- ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
Ezra Karger, Houtan Bastani, Chen Yueh-Han, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip E. Tetlock · 2024
- Benchmarking ChatGPT, Codeium, and GitHub Copilot: A Comparative Study of AI-Driven Programming and Debugging Assistants
Md Sultanul Islam Ovi, Nafisa Anjum, Tasmina Haque Bithe, Md. Mahabubur Rahman, Mst. Shahnaj Akter Smrity · 2024
- Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Hyeongdon Moon, Richard Davis, Seyed Parsa Neshaei, Pierre Dillenbourg · 2024
- Trapped in Transformative Agreements? A Multifaceted Analysis of >1,000 Contracts
Laura Rothfritz, W. Benedikt Schmal, Ulrich Herb · 2024
- Conway's cosmological theorem and automata theory
Pierre Lairez, Aleksandr Storozhenko · 2024
- Brightness of the Qianfan Satellites
Anthony Mallama, Richard E. Cole, Bram Dorreman, Scott Harrington, Nick James · 2024
- MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang · 2024
- Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach
Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux · 2024
- Moshi: a speech-text foundation model for real-time dialogue
Alexandre Défossez, Laurent Mazaré, Manu Orsini, Amélie Royer, Patrick Pérez, Hervé Jégou, Edouard Grave, Neil Zeghidour · 2024
- A Novel Spinor-Based Embedding Model for Transformers
Rick White · 2024
- Fine-tuning Vision Classifiers On A Budget
Sunil Kumar, Ted Sandler, Paulina Varshavskaya · 2024
- New Moons of Uranus and Neptune from Ultra-Deep Pencil Beam Surveys
Scott Sheppard, David Tholen, Marina Brozovic, Robert Jacobson, Chadwick Trujillo, Patryk Sofia Lykawka, Mike Alexandersen · 2024
- KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head
Isaac Rehg · 2024
- DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
Yi-Hao Peng, Faria Huq, Yue Jiang, Jason Wu, Amanda Xin Yue Li, Jeffrey Bigham, Amy Pavel · 2024