All paper pages
28734 retained paper pages. Page 215 of 288.
- Visual Story-Writing: Writing by Manipulating Visual Representations of Stories
Damien Masson, Zixin Zhao, Fanny Chevalier · 2024
- MoDEM: Mixture of Domain Expert Models
Toby Simonds, Kemal Kurniawan, Jey Han Lau · 2024
- Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
Abhijit Mishra, Shreya Shukla, Jose Torres, Jacek Gwizdka, Shounak Roychowdhury · 2024
- TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
Songshuo Lu, Hua Wang, Yutian Rong, Zhi Chen, Yaohua Tang · 2024
- "It's Your Turn": A Novel Channel Contention Mechanism for Improving Wi-Fi's Reliability
Francesc Wilhelmi, Lorenzo Galati-Giordano, Gianluca Fontanesi · 2024
- Talagrand's mathematical journey to the Abel Prize 2024
Olivier Guédon, Joscha Prochno · 2024
- What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Negrevergne, Gabriel Synnaeve · 2024
- DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh Susskind, Shuangfei Zhai · 2024
- Scaling Laws For Diffusion Transformers
Zhengyang Liang, Hao He, Ceyuan Yang, Bo Dai · 2024
- In Search of Forgotten Domain Generalization
Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel · 2024
- Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng Yan · 2024
- Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers
Alberto Alfarano, François Charton, Amaury Hayat · 2024
- Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
Konstantina Christakopoulou, Shibl Mourad, Maja Matarić · 2024
- KV Prediction for Improved Time to First Token
Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi · 2024
- Evidence for Abiotic Dimethyl Sulfide in Cometary Matter
Nora Hänni, Kathrin Altwegg, Michael Combi, Stephen A. Fuselier, Johan De Keyser, Niels F. W. Ligterink, Martin Rubin, Susanne F. Wampfler · 2024
- PILLAR: an AI-Powered Privacy Threat Modeling Tool
Majid Mollaeefar, Andrea Bissoli, Silvio Ranise · 2024
- Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs
Chris Cummins, Volker Seeker, Jordi Armengol-Estapé, Aram H. Markosyan, Gabriel Synnaeve, Hugh Leather · 2024
- Towards Multilingual LLM Evaluation for European Languages
Klaudia Thellmann, Bernhard Stadler, Michael Fromm, Jasper Schulze Buschhoff, Alex Jude, Fabio Barth, Johannes Leveling, Nicolas Flores-Herr, Joachim Köhler, René Jäkel, Mehdi Ali · 2024
- Emergent social conventions and collective bias in LLM populations
Ariel Flint Ashery, Luca Maria Aiello, Andrea Baronchelli · 2024
- The structure of the token space for large language models
Michael Robinson, Sourya Dey, Shauna Sweet · 2024
- From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating Mobile UI Operation Impacts
Zhuohao Jerry Zhang, Eldon Schoop, Jeffrey Nichols, Anuj Mahajan, Amanda Swearngin · 2024
- Gyromorphs: a new class of functional disordered materials
Mathias Casiulis, Aaron Shih, Stefano Martiniani · 2024
- AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, Eric Winsor, Jerome Wynne, Yarin Gal, Xander Davies · 2024
- Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs
Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell · 2024
- Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou · 2024
- ACER: Automatic Language Model Context Extension via Retrieval
Luyu Gao, Yunyi Zhang, Jamie Callan · 2024
- Encoding Agent Trajectories as Representations with Sequence Transformers
Athanasios Tsiligkaridis, Nicholas Kalinowski, Zhongheng Li, Elizabeth Hou · 2024
- FlatQuant: Flatness Matters for LLM Quantization
Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao · 2024
- Are You Human? An Adversarial Benchmark to Expose LLMs
Gilad Gressel, Rahul Pankajakshan, Yisroel Mirsky · 2024
- Amplituhedra and origami, I: tree level
Pavel Galashin · 2024
- Launching mass from the Moon helped by lunar gravity anomalies
Pekka Janhunen · 2024
- Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedings
Mojtaba Yousefi, Jack Collins · 2024
- RISC-V Needs Secure 'Wheels': the MCU Initiator-Side Perspective
Sandro Pinto, Jose Martins, Manuel Rodriguez, Luis Cunha, Georg Schmalz, Uwe Moslehner, Kai Dieffenbach, Thomas Roecker · 2024
- Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng · 2024
- When Neutral Summaries are not that Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries
Supriti Vijay, Aman Priyanshu, Ashique R. KhudaBukhsh · 2024
- MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren · 2024
- LoLCATs: On Low-Rank Linearizing of Large Language Models
Michael Zhang, Simran Arora, Rahul Chalamala, Alan Wu, Benjamin Spector, Aaryan Singhal, Krithik Ramesh, Christopher Ré · 2024
- Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Shuai Tan, Biao Gong, Xiang Wang, Shiwei Zhang, Dandan Zheng, Ruobing Zheng, Kecheng Zheng, Jingdong Chen, Ming Yang · 2024
- Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo · 2024
- Thinking LLMs: General Instruction Following with Thought Generation
Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar · 2024
- SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi · 2024
- AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu · 2024
- Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning
Etai Littwin, Vimal Thilak, Anand Gopalakrishnan · 2024
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han · 2024
- A Quantitative Model Of Trust as a Predictor of Social Group Sizes and its Implications for Technology
M. Burgess, R. I. M. Dunbar · 2024
- Exploring the Personality Traits of LLMs through Latent Features Steering
Shu Yang, Shenzhe Zhu, Liang Liu, Lijie Hu, Mengdi Li, Di Wang · 2024
- The State of Julia for Scientific Machine Learning
Edward Berman, Jacob Ginesin · 2024
- AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang · 2024
- Agent-as-a-Judge: Evaluate Agents with Agents
Mingchen Zhuge, Changsheng Zhao, Dylan Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber · 2024
- Persistent Topological Features in Large Language Models
Yuri Gardinazzi, Karthik Viswanathan, Giada Panerai, Alessio Ansuini, Alberto Cazzaniga, Matteo Biagetti · 2024
- Keep Me Updated: An Empirical Study of Proprietary Vendor Blobs in Android Firmware
Elliott Wen, Jiaxing Shen, Burkhard Wuensche · 2024
- Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
Cheng Lu, Yang Song · 2024
- Unboxing Virgil ADTs for Fun and Profit
Bradley Wei Jie Teo, Ben L. Titzer · 2024
- Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister · 2024
- Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
Yudou Tian, Neeraj Mohan Sushma, Harshvardhan Mestha, Nicolo Colombo, David Kappel, Anand Subramoney · 2024
- Language Models Encode Numbers Using Digit Representations in Base 10
Amit Arnold Levy, Mor Geva · 2024
- A Hitchhiker's Guide to Scaling Law Estimation
Leshem Choshen, Yang Zhang, Jacob Andreas · 2024
- From Commands to Prompts: LLM-based Semantic File System for AIOS
Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang · 2024
- LLMBridge: Reducing Costs to Access LLMs in a Prompt-Centric Internet
Noah Martin, Abdullah Bin Faisal, Hiba Eltigani, Rukhshan Haroon, Swaminathan Lamelas, Fahad Dogar · 2024
- A Scalable Communication Protocol for Networks of Large Language Models
Samuele Marro, Emanuele La Malfa, Jesse Wright, Guohao Li, Nigel Shadbolt, Michael Wooldridge, Philip Torr · 2024
- The Fair Language Model Paradox
Andrea Pinto, Tomer Galanti, Randall Balestriero · 2024
- Optimizing Beer Glass Shapes to Minimize Heat Transfer -- New Results
Cláudio C. Pellegrini · 2024
- The State of Robot Motion Generation
Kostas E. Bekris, Joe Doerr, Patrick Meng, Sumanth Tangirala · 2024
- DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
Shreya Shankar, Tristan Chambers, Tarak Shah, Aditya G. Parameswaran, Eugene Wu · 2024
- Neuron-based Personality Trait Induction in Large Language Models
Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Wayne Xin Zhao, Ji-Rong Wen · 2024
- FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making
Denys J. C. Matthies, Ruben Schlonsak, Hanzhi Zhuang, Rui Song · 2024
- Decoding Emotions: Unveiling Facial Expressions through Acoustic Sensing with Contrastive Attention
Guangjing Wang, Juexing Wang, Ce Zhou, Weikang Ding, Huacheng Zeng, Tianxing Li, Qiben Yan · 2024
- TextLap: Customizing Language Models for Text-to-Layout Planning
Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen · 2024
- VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E Gonzalez · 2024
- Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism
Yimin Tang, Yurong Xu, Ning Yan, Masood Mortazavi · 2024
- LLMD: A Large Language Model for Interpreting Longitudinal Medical Records
Robert Porter, Adam Diehl, Benjamin Pastel, J. Henry Hinnefeld, Lawson Nerenberg, Pye Maung, Sebastien Kerbrat, Gillian Hanson, Troy Astorino, Stephen J. Tarsa · 2024
- How much does AI impact development speed? An enterprise-based randomized controlled trial
Elise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Ben Ferrari-Church, Satish Chandra · 2024
- KCIF: Knowledge-Conditioned Instruction Following
Rudra Murthy, Praveen Venkateswaran, Prince Kumar, Danish Contractor · 2024
- Language Models as Semiotic Machines: Reconceptualizing AI Language Systems through Structuralist and Post-Structuralist Theories of Language
Elad Vromen · 2024
- An Evolved Universal Transformer Memory
Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang · 2024
- Membership Testing for Semantic Regular Expressions
Yifei Huang, Matin Amini, Alexis Le Glaunec, Konstantinos Mamouras, Mukund Raghothaman · 2024
- Breaking Bad: How Compilers Break Constant-Time Implementations
Moritz Schneider, Daniele Lain, Ivan Puddu, Nicolas Dutly, Srdjan Capkun · 2024
- Scaling Wearable Foundation Models
Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff · 2024
- Jailbreaking LLM-Controlled Robots
Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, George J. Pappas · 2024
- Persistent Pre-Training Poisoning of LLMs
Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramèr, Daphne Ippolito · 2024
- Reducing the Transformer Architecture to a Minimum
Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath, Siegfried Handschuh · 2024
- Optimal Quantization for Matrix Multiplication
Or Ordentlich, Yury Polyanskiy · 2024
- Looking Inward: Language Models Can Learn About Themselves by Introspection
Felix J Binder, James Chua, Tomek Korbak, Henry Sleight, John Hughes, Robert Long, Ethan Perez, Miles Turpin, Owain Evans · 2024
- Artificial Kuramoto Oscillatory Neurons
Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling · 2024
- Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
Chengyue Wu, Xiaokang Chen, Zhiyu Wu, Yiyang Ma, Xingchao Liu, Zizheng Pan, Wen Liu, Zhenda Xie, Xingkai Yu, Chong Ruan, Ping Luo · 2024
- How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs
Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang · 2024
- Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian · 2024
- Transformers Utilization in Chart Understanding: A Review of Recent Advances & Future Trends
Mirna Al-Shetairy, Hanan Hindy, Dina Khattab, Mostafa M. Aref · 2024
- Can LLMs be Scammed? A Baseline Measurement Study
Udari Madhushani Sehwag, Kelly Patel, Francesca Mosca, Vineeth Ravi, Jessica Staddon · 2024
- SoK: Prompt Hacking of Large Language Models
Baha Rababah, Shang, Wu, Matthew Kwiatkowski, Carson Leung, Cuneyt Gurcan Akcora · 2024
- LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild
Reworr, Dmitrii Volkov · 2024
- Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all
Ihab Bendidi, Shawn Whitfield, Kian Kenyon-Dean, Hanene Ben Yedder, Yassir El Mesbahi, Emmanuel Noutahi, Alisandra K. Denton · 2024
- Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong · 2024
- Towards High-Speed Passive Visible Light Communication with Event Cameras and Digital Micro-Mirrors
Yanxiang Wang, Yiran Shen, Kenuo Xu, Guangrong Zhao, Mahbub Hassan, Chenren Xu, Wen Hu · 2024
- Good Parenting is all you need -- Multi-agentic LLM Hallucination Mitigation
Ted Kwartler, Matthew Berman, Alan Aqrawi · 2024
- The State of Factoring on Quantum Computers
Dennis Willsch, Philipp Hanussek, Georg Hoever, Madita Willsch, Fengping Jin, Hans De Raedt, Kristel Michielsen · 2024
- Black Holes Inside and Out 2024: visions for the future of black hole physics
Niayesh Afshordi, Abhay Ashtekar, Enrico Barausse, Emanuele Berti, Richard Brito, Luca Buoninfante, Raúl Carballo-Rubio, Vitor Cardoso, Gregorio Carullo, Mihalis Dafermos, Mariafelicia De Laurentis, Adrian del Rio, Francesco Di Filippo, Astrid Eichhorn, Roberto Emparan, Ruth Gregory, Carlos A. R. Herdeiro, Jutta Kunz, Luis Lehner, Stefano Liberati, Samir D. Mathur, Samaya Nissanke, Paolo Pani, Alessia Platania, Frans Pretorius, Misao Sasaki, Paul Tiede, William Unruh, Matt Visser, Robert M. Wald · 2024
- SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang · 2024
- Large Language Models Are Overparameterized Text Encoders
Thennal D K, Tim Fischer, Chris Biemann · 2024
- Streaming Deep Reinforcement Learning Finally Works
Mohamed Elsayed, Elena Sorina Lupu, Gautham Vasan, A. Rupam Mahmood · 2024