All paper pages
28734 retained paper pages. Page 169 of 288.
- RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan · 2023
- Scaling Speech Technology to 1,000+ Languages
Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli · 2023
- How Language Model Hallucinations Can Snowball
Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith · 2023
- Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System
Zhixuan Zhang, Yuheng Huang, Dan Ou, Sen Li, Longbin Li, Qingwen Liu, Xiaoyi Zeng · 2023
- Physics of Language Models: Part 1, Learning Hierarchical Language Structures
Zeyuan Allen-Zhu, Yuanzhi Li · 2023
- Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov · 2023
- Aligning Large Language Models through Synthetic Feedback
Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo · 2023
- GenSpectrum Chat: Data Exploration in Public Health Using Large Language Models
Chaoran Chen, Tanja Stadler · 2023
- Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study
Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, Kailong Wang, Yang Liu · 2023
- Open Access Improves the Dissemination of Science: Insights from Wikipedia
Puyu Yang, Ahad Shoaib, Robert West, Giovanni Colavizza · 2023
- Deep Pipeline Embeddings for AutoML
Sebastian Pineda Arango, Josif Grabocka · 2023
- ChipGPT: How far are we from natural language hardware design
Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li · 2023
- Evaluating Factual Consistency of Summaries with Large Language Models
Shiqi Chen, Siyang Gao, Junxian He · 2023
- Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks
Tiedong Liu, Bryan Kian Hsiang Low · 2023
- Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata
Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam · 2023
- Exploring Chain-of-Thought Style Prompting for Text-to-SQL
Chang-You Tai, Ziru Chen, Tianshu Zhang, Xiang Deng, Huan Sun · 2023
- Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou · 2023
- On Learning to Summarize with Large Language Models as References
Yixin Liu, Kejian Shi, Katherine S He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan · 2023
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi · 2023
- SciMON: Scientific Inspiration Machines Optimized for Novelty
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope · 2023
- WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Sina J. Semnani, Violet Z. Yao, Heidi C. Zhang, Monica S. Lam · 2023
- QLoRA: Efficient Finetuning of Quantized LLMs
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer · 2023
- Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch · 2023
- Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu, Zhiyuan Li, David Hall, Percy Liang, Tengyu Ma · 2023
- Zero-shot personalized lip-to-speech synthesis with face image based voice control
Zheng-Yan Sheng, Yang Ai, Zhen-Hua Ling · 2023
- PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents
Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer · 2023
- Feed Me: Robotic Infiltration of Poison Frog Families
Tony G. Chen, Billie C. Goolsby, Guadalupe Bernal, Lauren A. O'Connell, Mark R. Cutkosky · 2023
- Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations
Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush · 2023
- ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao · 2023
- Modeling rapid language learning by distilling Bayesian priors into artificial neural networks
R. Thomas McCoy, Thomas L. Griffiths · 2023
- Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou · 2023
- A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification
Norbert Tihanyi, Ridhi Jain, Yiannis Charalambous, Mohamed Amine Ferrag, Youcheng Sun, Lucas C. Cordeiro · 2023
- Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models
Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz · 2023
- M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov · 2023
- Identifying Informational Sources in News Articles
Alexander Spangher, Nanyun Peng, Jonathan May, Emilio Ferrara · 2023
- Universal Self-Adaptive Prompting
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan O. Arik, Tomas Pfister · 2023
- GRACE: Discriminator-Guided Chain-of-Thought Reasoning
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang · 2023
- Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning · 2023
- Reasoning with Language Model is Planning with World Model
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu · 2023
- Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Gen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun, Rongrong Ji · 2023
- Is GPT-4 a Good Data Analyst?
Liying Cheng, Xingxuan Li, Lidong Bing · 2023
- Ghostbuster: Detecting Text Ghostwritten by Large Language Models
Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein · 2023
- SAIL: Search-Augmented Instruction Learning
Hongyin Luo, Yung-Sung Chuang, Yuan Gong, Tianhua Zhang, Yoon Kim, Xixin Wu, Danny Fox, Helen Meng, James Glass · 2023
- Robust Classification via a Single Diffusion Model
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu · 2023
- Model evaluation for extreme risks
Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul Christiano, Allan Dafoe · 2023
- Gorilla: Large Language Model Connected with Massive APIs
Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez · 2023
- Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang · 2023
- Language Model Tokenizers Introduce Unfairness Between Languages
Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi · 2023
- On the invariant subspace problem in Hilbert spaces
Per H. Enflo · 2023
- Evidence for heavy seed origin of early supermassive black holes from a z~10 X-ray quasar
Akos Bogdan, Andy Goulding, Priyamvada Natarajan, Orsolya Kovacs, Grant Tremblay, Urmila Chadayammuri, Marta Volonteri, Ralph Kraft, William Forman, Christine Jones, Eugene Churazov, Irina Zhuravleva · 2023
- SPRING: Studying the Paper and Reasoning to Play Games
Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom Mitchell, Yuanzhi Li · 2023
- The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python
Antonio Valerio Miceli-Barone, Fazl Barez, Ioannis Konstas, Shay B. Cohen · 2023
- Large Language Models are Few-Shot Health Learners
Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, Shwetak Patel · 2023
- Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun · 2023
- The False Promise of Imitating Proprietary LLMs
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song · 2023
- On the Planning Abilities of Large Language Models : A Critical Investigation
Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati · 2023
- Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace
Jinyung Hong, Keun Hee Park, Theodore P. Pavlic · 2023
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu · 2023
- Maximizing Neutrality in News Ordering
Rishi Advani, Paolo Papotti, Abolfazl Asudeh · 2023
- Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurelien Lucchi, Thomas Hofmann · 2023
- ChatGPT for PLC/DCS Control Logic Generation
Heiko Koziolek, Sten Gruener, Virendra Ashiwal · 2023
- Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot
Gabriele Nava, Daniele Pucci · 2023
- Scaling Data-Constrained Language Models
Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel · 2023
- Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar · 2023
- Landmark Attention: Random-Access Infinite Context Length for Transformers
Amirkeivan Mohtashami, Martin Jaggi · 2023
- Semantic Composition in Visually Grounded Language Models
Rohan Pandey · 2023
- A Search for Extraterrestrial Technosignatures in Archival FAST Survey Data Using a New Procedure
Yu-Chen Wang, Zhen-Zhao Tao, Zhi-Song Zhang, Cheqiu Lyu, Tingting Zhang, Tong-Jie Zhang, Dan Werthimer · 2023
- Role-Play with Large Language Models
Murray Shanahan, Kyle McDonell, Laria Reynolds · 2023
- Detecting Errors in a Numerical Response via any Regression Model
Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei · 2023
- 18 Million Links in Commit Messages: Purpose, Evolution, and Decay
Tao Xiao, Sebastian Baltes, Hideaki Hata, Christoph Treude, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto · 2023
- Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi · 2023
- Incentive Attacks on DAG-Based Blockchains with Random Transaction Selection
Martin Perešíni, Ivan Homoliak, Federico Matteo Benčić, Martin Hrubý, Kamil Malinka · 2023
- Do GPTs Produce Less Literal Translations?
Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan Awadalla · 2023
- Rethinking Certification for Trustworthy Machine Learning-Based Applications
Marco Anisetti, Claudio A. Ardagna, Nicola Bena, Ernesto Damiani · 2023
- Scientific Fact-Checking: A Survey of Resources and Approaches
Juraj Vladika, Florian Matthes · 2023
- Playing repeated games with Large Language Models
Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz · 2023
- Measurements of multijet event isotropies using optimal transport with the ATLAS detector
ATLAS Collaboration · 2023
- Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar · 2023
- Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media
Smitha Milli, Micah Carroll, Yike Wang, Sashrika Pandey, Sebastian Zhao, Anca D. Dragan · 2023
- Frontier AI developers need an internal audit function
Jonas Schuett · 2023
- Mindstorms in Natural Language-Based Societies of Mind
Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piękos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanić, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber · 2023
- Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou · 2023
- Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai · 2023
- Multiplication-Free Transformer Training via Piecewise Affine Operations
Atli Kosson, Martin Jaggi · 2023
- Inferring the Future by Imagining the Past
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum · 2023
- Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
Atli Kosson, Bettina Messmer, Martin Jaggi · 2023
- STL: Surprisingly Tricky Logic (for System Validation)
Ho Chit Siu, Kevin Leahy, Makai Mann · 2023
- Improved Instruction Ordering in Recipe-Grounded Conversation
Duong Minh Le, Ruohao Guo, Wei Xu, Alan Ritter · 2023
- Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Yao Fu, Litu Ou, Mingyu Chen, Yuhao Wan, Hao Peng, Tushar Khot · 2023
- Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora · 2023
- DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Xianjun Yang, Wei Cheng, Yue Wu, Linda Petzold, William Yang Wang, Haifeng Chen · 2023
- External Behavior of a Logic Program and Verification of Refactoring
Jorge Fandinno, Zachary Hansen, Yuliya Lierler, Vladimir Lifschitz, Nathan Temple · 2023
- The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross Anderson · 2023
- End-to-end trajectory concept for close exploration of Saturn's Inner Large Moons
Elena Fantino, Burhani M. Burhani, Roberto Flores, Elisa Maria Alessi, Fernando Solano, Manuel Sanjurjo-Rivo · 2023
- A chiral aperiodic monotile
David Smith, Joseph Samuel Myers, Craig S. Kaplan, Chaim Goodman-Strauss · 2023
- Multi-Modal Face Stylization with a Generative Prior
Mengtian Li, Yi Dong, Minxuan Lin, Haibin Huang, Pengfei Wan, Chongyang Ma · 2023
- Do Large Language Models Know What They Don't Know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang · 2023
- Do Language Models Know When They're Hallucinating References?
Ayush Agrawal, Mirac Suzgun, Lester Mackey, Adam Tauman Kalai · 2023
- GlyphControl: Glyph Conditional Control for Visual Text Generation
Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen · 2023
- Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham · 2023