All paper pages
28734 retained paper pages. Page 170 of 288.
- Mathematical Structure of Syntactic Merge
Matilde Marcolli, Noam Chomsky, Robert Berwick · 2023
- Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn · 2023
- ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
Binfeng Xu, Zhiyuan Peng, Bowen Lei, Subhabrata Mukherjee, Yuchen Liu, Dongkuan Xu · 2023
- LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias B. Khalil · 2023
- Geometric Algebra Transformer
Johann Brehmer, Pim de Haan, Sönke Behrends, Taco Cohen · 2023
- Federated Learning of Gboard Language Models with Differential Privacy
Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang · 2023
- Test-Time Training on Nearest Neighbors for Large Language Models
Moritz Hardt, Yu Sun · 2023
- Gravitational Pair Production and Black Hole Evaporation
Michael F. Wondrak, Walter D. van Suijlekom, Heino Falcke · 2023
- Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
Vagelis Plevris, George Papazafeiropoulos, Alejandro Jiménez Rios · 2023
- Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi · 2023
- Grokking of Hierarchical Structure in Vanilla Transformers
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning · 2023
- A First Course in Causal Inference
Peng Ding · 2023
- Drivers of social influence in the Twitter migration to Mastodon
Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli · 2023
- Taylorformer: Probabilistic Modelling for Random Processes including Time Series
Omer Nivron, Raghul Parthipan, Damon J. Wischik · 2023
- Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data
Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Latoschik, Louis Rosenberg, Dawn Song · 2023
- Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim · 2023
- NetHack is Hard to Hack
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus · 2023
- Intriguing Properties of Quantization at Scale
Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker · 2023
- Concise Answers to Complex Questions: Summarization of Long-form Answers
Abhilash Potluri, Fangyuan Xu, Eunsol Choi · 2023
- Blockwise Parallel Transformer for Large Context Models
Hao Liu, Pieter Abbeel · 2023
- What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang · 2023
- The Impact of Positional Encoding on Length Generalization in Transformers
Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy · 2023
- Discovering New Interpretable Conservation Laws as Sparse Invariants
Ziming Liu, Patrick Obin Sturm, Saketh Bharadwaj, Sam Silva, Max Tegmark · 2023
- CryptOpt: Automatic Optimization of Straightline Code
Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, Yuval Yarom · 2023
- You Can Run But You Can't Hide: Runtime Protection Against Malicious Package Updates For Node.js
Marc Ohm, Timo Pohl, Felix Boes · 2023
- A Survey on Large Language Models for Recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen · 2023
- Constructive mathematics and teaching
Alexander Shen · 2023
- Source Code Data Augmentation for Deep Learning: A Survey
Terry Yue Zhuo, Zhou Yang, Zhensu Sun, Yufei Wang, Li Li, Xiaoning Du, Zhenchang Xing, David Lo · 2023
- Human or Not? A Gamified Approach to the Turing Test
Daniel Jannai, Amos Meron, Barak Lenz, Yoav Levine, Yoav Shoham · 2023
- Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein · 2023
- Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe · 2023
- Understanding and Mitigating Copying in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein · 2023
- Improving CLIP Training with Language Rewrites
Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian · 2023
- Brainformers: Trading Simplicity for Efficiency
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David So, Andrew Dai, Yifeng Lu, Zhifeng Chen, Quoc Le, Claire Cui, James Laudon, Jeff Dean · 2023
- GPT4GEO: How a Language Model Sees the World's Geography
Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie · 2023
- CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs
Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi · 2023
- Shadows of quantum machine learning
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko · 2023
- Minotaur: A SIMD-Oriented Synthesizing Superoptimizer
Zhengyang Liu, Stefan Mada, John Regehr · 2023
- Bytes Are All You Need: Transformers Operating Directly On File Bytes
Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari · 2023
- BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer · 2023
- The evolutionary stage of Betelgeuse inferred from its pulsation periods
Hideyuki Saio, Devesh Nandal, Georges Meynet, Sylvia Ekstöm · 2023
- Transformers learn to implement preconditioned gradient descent for in-context learning
Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra · 2023
- Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Shengran Hu, Jeff Clune · 2023
- CERT: Finding Performance Issues in Database Systems Through the Lens of Cardinality Estimation
Jinsheng Ba, Manuel Rigger · 2023
- Evaluating the "Learning on Graphs" Conference Experience
Bastian Rieck, Corinna Coupette · 2023
- Spying on the Spy: Security Analysis of Hidden Cameras
Samuel Herodotou, Feng Hao · 2023
- Three questions about John von Neumann
Melvyn B. Nathanson · 2023
- The feasibility of artificial consciousness through the lens of neuroscience
Jaan Aru, Matthew Larkum, James M. Shine · 2023
- Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear
Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu · 2023
- JWST-JADES. Possible Population III signatures at z=10.6 in the halo of GN-z11
Roberto Maiolino, Hannah Uebler, Michele Perna, Jan Scholtz, Francesco D'Eugenio, Callum Witten, Nicolas Laporte, Joris Witstok, Stefano Carniani, Sandro Tacchella, William Baker, Santiago Arribas, Kimihiko Nakajima, Daniel Eisenstein, Andrew Bunker, Stephane Charlot, Giovanni Cresci, Mirko Curti, Emma Curtis-Lake, Anna de Graaff, Zhiyuan Ji, Benjamin D. Johnson, Nimisha Kumari, Tobias J. Looser, Michael Maseda, Erica Nelson, Brant Robertson, Bruno Rodriguez Del Pino, Lester Sandles, Charlotte Simmonds, Renske Smit, Fengwu Sun, Giacomo Venturi, Christina Williams, Christopher Willmer · 2023
- AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han · 2023
- SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren · 2023
- Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer · 2023
- How We Ruined The Internet
Micah Beck, Terry Moore · 2023
- The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay · 2023
- Learning Transformer Programs
Dan Friedman, Alexander Wettig, Danqi Chen · 2023
- Faster Causal Attention Over Large Sequences Through Sparse Flash Attention
Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret · 2023
- Post-COVID Inflation & the Monetary Policy Dilemma: An Agent-Based Scenario Analysis
Max Sina Knicker, Karl Naumann-Woleske, Jean-Philippe Bouchaud, Francesco Zamponi · 2023
- Accelerating science with human-aware artificial intelligence
Jamshid Sourati, James Evans · 2023
- PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Javier Rando, Fernando Perez-Cruz, Briland Hitaj · 2023
- OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune · 2023
- Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks
Lawrence Clegg, John Cartlidge · 2023
- Probabilistic Adaptation of Text-to-Video Models
Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel · 2023
- Overcoming the Stability Gap in Continual Learning
Md Yousuf Harun, Christopher Kanan · 2023
- Structural Similarities Between Language Models and Neural Response Measurements
Jiaang Li, Antonia Karamolegkou, Yova Kementchedjhieva, Mostafa Abdou, Sune Lehmann, Anders Søgaard · 2023
- AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. Vera Liao, Jennifer Wortman Vaughan · 2023
- Simulating Noisy Quantum Circuits for Cryptographic Algorithms
Sahay Harshvardhan, Sanil Jain, James E. McClure, Caleb McIrvin, Ngoc Quy Tran · 2023
- Quantum delay in the time of arrival of free-falling atoms
Mathieu Beau, Lionel Martellini · 2023
- Predicting Information Pathways Across Online Communities
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar · 2023
- Transformative AGI by 2043 is <1% likely
Ari Allyn-Feuer, Ted Sanders · 2023
- PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh Susskind, Navdeep Jaitly · 2023
- Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary
Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, Xiangyu Zhang · 2023
- Spatial Implicit Neural Representations for Global-Scale Species Mapping
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha · 2023
- Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
Anna Dawid, Yann LeCun · 2023
- Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah · 2023
- Prebiosignature Molecules Can Be Detected in Temperate Exoplanet Atmospheres with JWST
Alastair Claringbold, Paul Rimmer, Sarah Rugheimer, Oliver Shorttle · 2023
- Using Sequences of Life-events to Predict Human Lives
Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann · 2023
- PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge
Laura Cabello, Jiaang Li, Ilias Chalkidis · 2023
- HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong · 2023
- SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh · 2023
- Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka · 2023
- 'Ergodicity Economics' is Pseudoscience
Alexis Akira Toda · 2023
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
Kenneth Li, Oam Patel, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg · 2023
- I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models
Max Reuter, William Schulze · 2023
- Large Language Models of Code Fail at Completing Code with Potential Bugs
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis · 2023
- Natural Language Commanding via Program Synthesis
Apurva Gandhi, Thong Q. Nguyen, Huitian Jiao, Robert Steen, Ameya Bhatawdekar · 2023
- Russo-Ukrainian War: Prediction and explanation of Twitter suspension
Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou, Ioannis Kontogiorgakis, Polyvios Pratikakis, Sotiris Ioannidis · 2023
- Recognize Anything: A Strong Image Tagging Model
Youcai Zhang, Xinyu Huang, Jinyu Ma, Zhaoyang Li, Zhaochuan Luo, Yanchun Xie, Yuzhuo Qin, Tong Luo, Yaqian Li, Shilong Liu, Yandong Guo, Lei Zhang · 2023
- Potential of the Julia programming language for high energy physics computing
J. Eschle, T. Gal, M. Giordano, P. Gras, B. Hegner, L. Heinrich, U. Hernandez Acosta, S. Kluth, J. Ling, P. Mato, M. Mikhasenko, A. Moreno Briceño, J. Pivarski, K. Samaras-Tsakiris, O. Schulz, G. . A. Stewart, J. Strube, V. Vassilev · 2023
- Can large language models democratize access to dual-use biotechnology?
Emily H. Soice, Rafael Rocha, Kimberlee Cordova, Michael Specter, Kevin M. Esvelt · 2023
- Computation with Sequences in a Model of the Brain
Max Dabagia, Christos H. Papadimitriou, Santosh S. Vempala · 2023
- LEACE: Perfect linear concept erasure in closed form
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman · 2023
- Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)
Yohan Beugin, Patrick McDaniel · 2023
- Deductive Verification of Chain-of-Thought Reasoning
Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su · 2023
- ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
Chenxu Hu, Jie Fu, Chenzhuang Du, Simian Luo, Junbo Zhao, Hang Zhao · 2023
- Orphan Articles: The Dark Matter of Wikipedia
Akhil Arora, Robert West, Martin Gerlach · 2023
- Fifty Years of ISCA: A data-driven retrospective on key trends
Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain · 2023
- Revisiting Neural Retrieval on Accelerators
Jiaqi Zhai, Zhaojie Gong, Yueming Wang, Xiao Sun, Zheng Yan, Fu Li, Xing Liu · 2023
- LLMZip: Lossless Text Compression using Large Language Models
Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Dileep Kalathil, Jean-Francois Chamberland, Srinivas Shakkottai · 2023
- Detection of the Cosmological Time Dilation of High Redshift Quasars
Geraint F. Lewis, Brendon J. Brewer · 2023