All paper pages
28734 retained paper pages. Page 211 of 288.
- BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun · 2024
- Functional Tensor Decompositions for Physics-Informed Neural Networks
Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler · 2024
- Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou · 2024
- An In-Depth Investigation of Data Collection in LLM App Ecosystems
Yuhao Wu, Evin Jaff, Ke Yang, Ning Zhang, Umar Iqbal · 2024
- The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities
Venkatesh Balavadhani Parthasarathy, Ahtsham Zafar, Aafaq Khan, Arsalan Shahid · 2024
- Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler
Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda · 2024
- Iterative Refinement with Low-Precision Posits
James Quinlan, E. Theodore L. Omtzigt · 2024
- A Law of Next-Token Prediction in Large Language Models
Hangfeng He, Weijie J. Su · 2024
- No Dataset Needed for Downstream Knowledge Benchmarking: Response Dispersion Inversely Correlates with Accuracy on Domain-specific QA
Robert L Simione · 2024
- Remote detection of radioactive material using a short pulse CO2 laser
A. Zingale, S. Waczynski, I. Pogorelsky, M. Polyanskiy, J. Sears, R. E. Lakis, H. M. Milchberg · 2024
- Quantum error correction below the surface code threshold
Rajeev Acharya, Laleh Aghababaie-Beni, Igor Aleiner, Trond I. Andersen, Markus Ansmann, Frank Arute, Kunal Arya, Abraham Asfaw, Nikita Astrakhantsev, Juan Atalaya, Ryan Babbush, Dave Bacon, Brian Ballard, Joseph C. Bardin, Johannes Bausch, Andreas Bengtsson, Alexander Bilmes, Sam Blackwell, Sergio Boixo, Gina Bortoli, Alexandre Bourassa, Jenna Bovaird, Leon Brill, Michael Broughton, David A. Browne, Brett Buchea, Bob B. Buckley, David A. Buell, Tim Burger, Brian Burkett, Nicholas Bushnell, Anthony Cabrera, Juan Campero, Hung-Shen Chang, Yu Chen, Zijun Chen, Ben Chiaro, Desmond Chik, Charina Chou, Jahan Claes, Agnetta Y. Cleland, Josh Cogan, Roberto Collins, Paul Conner, William Courtney, Alexander L. Crook, Ben Curtin, Sayan Das, Alex Davies, Laura De Lorenzo, Dripto M. Debroy, Sean Demura, Michel Devoret, Agustin Di Paolo, Paul Donohoe, Ilya Drozdov, Andrew Dunsworth, Clint Earle, Thomas Edlich, Alec Eickbusch, Aviv Moshe Elbag, Mahmoud Elzouka, Catherine Erickson, Lara Faoro, Edward Farhi, Vinicius S. Ferreira, Leslie Flores Burgos, Ebrahim Forati, Austin G. Fowler, Brooks Foxen, Suhas Ganjam, Gonzalo Garcia, Robert Gasca, Élie Genois, William Giang, Craig Gidney, Dar Gilboa, Raja Gosula, Alejandro Grajales Dau, Dietrich Graumann, Alex Greene, Jonathan A. Gross, Steve Habegger, John Hall, Michael C. Hamilton, Monica Hansen, Matthew P. Harrigan, Sean D. Harrington, Francisco J. H. Heras, Stephen Heslin, Paula Heu, Oscar Higgott, Gordon Hill, Jeremy Hilton, George Holland, Sabrina Hong, Hsin-Yuan Huang, Ashley Huff, William J. Huggins, Lev B. Ioffe, Sergei V. Isakov, Justin Iveland, Evan Jeffrey, Zhang Jiang, Cody Jones, Stephen Jordan, Chaitali Joshi, Pavol Juhas, Dvir Kafri, Hui Kang, Amir H. Karamlou, Kostyantyn Kechedzhi, Julian Kelly, Trupti Khaire, Tanuj Khattar, Mostafa Khezri, Seon Kim, Paul V. Klimov, Andrey R. Klots, Bryce Kobrin, Pushmeet Kohli, Alexander N. Korotkov, Fedor Kostritsa, Robin Kothari, Borislav Kozlovskii, John Mark Kreikebaum, Vladislav D. Kurilovich, Nathan Lacroix, David Landhuis, Tiano Lange-Dei, Brandon W. Langley, Pavel Laptev, Kim-Ming Lau, Loïck Le Guevel, Justin Ledford, Kenny Lee, Yuri D. Lensky, Shannon Leon, Brian J. Lester, Wing Yan Li, Yin Li, Alexander T. Lill, Wayne Liu, William P. Livingston, Aditya Locharla, Erik Lucero, Daniel Lundahl, Aaron Lunt, Sid Madhuk, Fionn D. Malone, Ashley Maloney, Salvatore Mandrá, Leigh S. Martin, Steven Martin, Orion Martin, Cameron Maxfield, Jarrod R. McClean, Matt McEwen, Seneca Meeks, Anthony Megrant, Xiao Mi, Kevin C. Miao, Amanda Mieszala, Reza Molavi, Sebastian Molina, Shirin Montazeri, Alexis Morvan, Ramis Movassagh, Wojciech Mruczkiewicz, Ofer Naaman, Matthew Neeley, Charles Neill, Ani Nersisyan, Hartmut Neven, Michael Newman, Jiun How Ng, Anthony Nguyen, Murray Nguyen, Chia-Hung Ni, Thomas E. O'Brien, William D. Oliver, Alex Opremcak, Kristoffer Ottosson, Andre Petukhov, Alex Pizzuto, John Platt, Rebecca Potter, Orion Pritchard, Leonid P. Pryadko, Chris Quintana, Ganesh Ramachandran, Matthew J. Reagor, David M. Rhodes, Gabrielle Roberts, Eliott Rosenberg, Emma Rosenfeld, Pedram Roushan, Nicholas C. Rubin, Negar Saei, Daniel Sank, Kannan Sankaragomathi, Kevin J. Satzinger, Henry F. Schurkus, Christopher Schuster, Andrew W. Senior, Michael J. Shearn, Aaron Shorter, Noah Shutty, Vladimir Shvarts, Shraddha Singh, Volodymyr Sivak, Jindra Skruzny, Spencer Small, Vadim Smelyanskiy, W. Clarke Smith, Rolando D. Somma, Sofia Springer, George Sterling, Doug Strain, Jordan Suchard, Aaron Szasz, Alex Sztein, Douglas Thor, Alfredo Torres, M. Mert Torunbalci, Abeer Vaishnav, Justin Vargas, Sergey Vdovichev, Guifre Vidal, Benjamin Villalonga, Catherine Vollgraff Heidweiller, Steven Waltman, Shannon X. Wang, Brayden Ware, Kate Weber, Theodore White, Kristi Wong, Bryan W. K. Woo, Cheng Xing, Z. Jamie Yao, Ping Yeh, Bicheng Ying, Juhwan Yoo, Noureldin Yosri, Grayson Young, Adam Zalcman, Yaxing Zhang, Ningfeng Zhu, Nicholas Zobrist · 2024
- Concurrent Data Structures Made Easy (Extended Version)
Callista Le, Kiran Gopinathan, Koon Wen Lee, Seth Gilbert, Ilya Sergey · 2024
- Localization of Synthetic Manipulations in Western Blot Images
Anmol Manjunath, Viola Negroni, Sara Mandelli, Daniel Moreira, Paolo Bestagini · 2024
- CodeGraph: Enhancing Graph Reasoning of LLMs with Code
Qiaolong Cai, Zhaowei Wang, Shizhe Diao, James Kwok, Yangqiu Song · 2024
- Learning to Move Like Professional Counter-Strike Players
David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian · 2024
- Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects
Daniele De Sensi, Lorenzo Pichetti, Flavio Vella, Tiziano De Matteis, Zebin Ren, Luigi Fusco, Matteo Turisini, Daniele Cesarini, Kurt Lust, Animesh Trivedi, Duncan Roweth, Filippo Spiga, Salvatore Di Girolamo, Torsten Hoefler · 2024
- Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning
Wei An, Xiao Bi, Guanting Chen, Shanhuang Chen, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Wenjun Gao, Kang Guan, Jianzhong Guo, Yongqiang Guo, Zhe Fu, Ying He, Panpan Huang, Jiashi Li, Wenfeng Liang, Xiaodong Liu, Xin Liu, Yiyuan Liu, Yuxuan Liu, Shanghao Lu, Xuan Lu, Xiaotao Nie, Tian Pei, Junjie Qiu, Hui Qu, Zehui Ren, Zhangli Sha, Xuecheng Su, Xiaowen Sun, Yixuan Tan, Minghui Tang, Shiyu Wang, Yaohui Wang, Yongji Wang, Ziwei Xie, Yiliang Xiong, Yanhong Xu, Shengfeng Ye, Shuiping Yu, Yukun Zha, Liyue Zhang, Haowei Zhang, Mingchuan Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Yuheng Zou · 2024
- Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping
Vishal Batchu, Alex Wilson, Betty Peng, Carl Elkin, Umangi Jain, Christopher Van Arsdale, Ross Goroshin, Varun Gulshan · 2024
- Radiance Cascades: A Novel High-Resolution Formal Solution for Multidimensional Non-LTE Radiative Transfer
Christopher M. J. Osborne, Alexander Sannikov · 2024
- Generalized Carlos Scales
Andrew V. Sills · 2024
- MMR: Evaluating Reading Ability of Large Multimodal Models
Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan Rossi, Jiuxiang Gu, Changyou Chen · 2024
- Text2SQL is Not Enough: Unifying AI and Databases with TAG
Asim Biswal, Liana Patel, Siddarth Jha, Amog Kamsetty, Shu Liu, Joseph E. Gonzalez, Carlos Guestrin, Matei Zaharia · 2024
- Diffusion Models Are Real-Time Game Engines
Dani Valevski, Yaniv Leviathan, Moab Arar, Shlomi Fruchter · 2024
- The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao · 2024
- Generative Verifiers: Reward Modeling as Next-Token Prediction
Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal · 2024
- Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community
Savannah Thais · 2024
- AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi · 2024
- People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy
Shruthi Shekar, Pat Pataranutaporn, Chethan Sarabu, Guillermo A. Cecchi, Pattie Maes · 2024
- What makes math problems hard for reinforcement learning: a case study
Ali Shehper, Anibal M. Medina-Mardones, Lucas Fagan, Bartłomiej Lewandowski, Angus Gruen, Yang Qiu, Piotr Kucharski, Zhenghan Wang, Sergei Gukov · 2024
- Awes, Laws, and Flaws From Today's LLM Research
Adrian de Wynter · 2024
- ReMamba: Equip Mamba with Effective Long-Sequence Modeling
Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao · 2024
- Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
Lean Wang, Huazuo Gao, Chenggang Zhao, Xu Sun, Damai Dai · 2024
- EMP: Enhance Memory in Data Pruning
Jinying Xiao, Ping Li, Jie Nie, Bin Ji, Shasha Li, Xiaodong Liu, Jun Ma, Qingbo Wu, Jie Yu · 2024
- Hitting the Gym: Reinforcement Learning Control of Exercise-Strengthened Biohybrid Robots in Simulation
Saul Schaffer, Hima Hrithik Pamu, Victoria A. Webster-Wood · 2024
- A Quantitative Model of Triboelectric Charge Transfer
Karl P. Olson, Laurence D. Marks · 2024
- Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
Chenglong Wang, Bongshin Lee, Steven Drucker, Dan Marshall, Jianfeng Gao · 2024
- ChartEye: A Deep Learning Framework for Chart Information Extraction
Osama Mustafa, Muhammad Khizer Ali, Momina Moetesum, Imran Siddiqi · 2024
- FRACTURED-SORRY-Bench: Framework for Revealing Attacks in Conversational Turns Undermining Refusal Efficacy and Defenses over SORRY-Bench (Automated Multi-shot Jailbreaks)
Aman Priyanshu, Supriti Vijay · 2024
- CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
Yannis Chronis, Yawen Wang, Yu Gan, Sami Abu-El-Haija, Chelsea Lin, Carsten Binnig, Fatma Özcan · 2024
- LLM-assisted Labeling Function Generation for Semantic Type Detection
Chenjie Li, Dan Zhang, Jin Wang · 2024
- WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Shengpeng Ji, Ziyue Jiang, Wen Wang, Yifu Chen, Minghui Fang, Jialong Zuo, Qian Yang, Xize Cheng, Zehan Wang, Ruiqi Li, Ziang Zhang, Xiaoda Yang, Rongjie Huang, Yidi Jiang, Qian Chen, Siqi Zheng, Zhou Zhao · 2024
- AxLSTMs: learning self-supervised audio representations with xLSTMs
Sarthak Yadav, Sergios Theodoridis, Zheng-Hua Tan · 2024
- Examination of Code generated by Large Language Models
Robin Beer, Alexander Feix, Tim Guttzeit, Tamara Muras, Vincent Müller, Maurice Rauscher, Florian Schäffler, Welf Löwe · 2024
- LLMs generate structurally realistic social networks but overestimate political homophily
Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec · 2024
- Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi · 2024
- The Legend of Holy Sword: An Immersive Experience for Concentration Enhancement
Hirosuke Asahi, Ryoma Sonoyama, Chihiro Shoda, Nanami Kotani · 2024
- Efficient Hierarchical Transformers for Representing Log Data
Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov, Zifan Zhang, Ali Torkamani · 2024
- Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework
Xiang Li, Lizhou Fan, Hanbo Wu, Kunping Chen, Xiaoxiao Yu, Chao Che, Zhifeng Cai, Xiuhong Niu, Aihua Cao, Xin Ma · 2024
- MemLong: Memory-Augmented Retrieval for Long Text Modeling
Weijie Liu, Zecheng Tang, Juntao Li, Kehai Chen, Min Zhang · 2024
- Online Advertising is a Regrettable Necessity: On the Dangers of Pay-Walling the Web
Yonas Kassa · 2024
- Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting
Tao Ni, Zehua Sun, Mingda Han, Guohao Lan, Yaxiong Xie, Zhenjiang Li, Tao Gu, Weitao Xu · 2024
- The Artificial Intelligence Act: critical overview
Nuno Sousa e Silva · 2024
- Moldable Exceptions
Andrei Chiş, Tudor Gîrba, Oscar Nierstrasz · 2024
- CRUD-Capable Mobile Apps with R and shinyMobile: a Case Study in Rapid Prototyping
Nathan Henry · 2024
- FLUX that Plays Music
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Junshi Huang · 2024
- Wasm-R3: Record-Reduce-Replay for Realistic and Standalone WebAssembly Benchmarks
Doehyun Baek, Jakob Getz, Yusung Sim, Daniel Lehmann, Ben L. Titzer, Sukyoung Ryu, Michael Pradel · 2024
- Pseudorapidity distributions of charged hadrons in lead-lead collisions at $\sqrt{s_\mathrm{NN}}$ = 5.36 TeV
CMS Collaboration · 2024
- The Design of an LLM-powered Unstructured Analytics System
Eric Anderson, Jonathan Fritz, Austin Lee, Bohou Li, Mark Lindblad, Henry Lindeman, Alex Meyer, Parth Parmar, Tanvi Ranade, Mehul A. Shah, Benjamin Sowell, Dan Tecuci, Vinayak Thapliyal, Matt Welsh · 2024
- MarsCode Agent: AI-native Automated Bug Fixing
Yizhou Liu, Pengfei Gao, Xinchen Wang, Jie Liu, Yexuan Shi, Zhao Zhang, Chao Peng · 2024
- Statically Contextualizing Large Language Models with Typed Holes
Andrew Blinn, Xiang Li, June Hyung Kim, Cyrus Omar · 2024
- Mix Testing: Specifying and Testing ABI Compatibility of C/C++ Atomics Implementations
Luke Geeson, James Brotherston, Wilco Dijkstra, Alastair F. Donaldson, Lee Smith, Tyler Sorensen, John Wickerson · 2024
- Fibonacci Partial Sums Tricks
Nikhil Byrapuram, Adam Ge, Selena Ge, Tanya Khovanova, Sylvia Zia Lee, Rajarshi Mandal, Gordon Redwine, Soham Samanta, Daniel Wu, Danyang Xu, Ray Zhao · 2024
- What Could Possibly Go Wrong: Undesirable Patterns in Collective Development
Mikhail Evtikhiev, Ekaterina Koshchenko, Vladimir Kovalenko · 2024
- Imitating Language via Scalable Inverse Reinforcement Learning
Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jorg Bornschein, Sandy Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin Riedmiller · 2024
- H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark
Solim LeGris, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis · 2024
- General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Haoran Wei, Chenglong Liu, Jinyue Chen, Jia Wang, Lingyu Kong, Yanming Xu, Zheng Ge, Liang Zhao, Jianjian Sun, Yuang Peng, Chunrui Han, Xiangyu Zhang · 2024
- Empirical evidence of Large Language Model's influence on human spoken communication
Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann, Ignacio de la Serna, Lara Kirfel, Prateek Gupta, Ivan Soraperra, Thomas F. Eisenmann, Dirk U. Wulff, Iyad Rahwan · 2024
- BinSub: The Simple Essence of Polymorphic Type Inference for Machine Code
Ian Smith · 2024
- A note on higher almost ring theory
Fabian Hebestreit, Peter Scholze · 2024
- Deep Knowledge-Infusion For Explainable Depression Detection
Sumit Dalal, Sarika Jain, Mayank Dave · 2024
- Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions
Zainab Iftikhar, Sean Ransom, Amy Xiao, Nicole Nugent, Jeff Huang · 2024
- RAMBO: Leaking Secrets from Air-Gap Computers by Spelling Covert Radio Signals from Computer RAM
Mordechai Guri · 2024
- NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
Sepanta Zeighami, Zac Wellmer, Aditya Parameswaran · 2024
- Machine Learning Applications to Computational Plasma Physics and Reduced-Order Plasma Modeling: A Perspective
Farbod Faraji, Maryam Reza · 2024
- Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions
Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu · 2024
- A Comparative Study on Large Language Models for Log Parsing
Merve Astekin, Max Hort, Leon Moonen · 2024
- Sample what you cant compress
Vighnesh Birodkar, Gabriel Barcik, James Lyon, Sergey Ioffe, David Minnen, Joshua V. Dillon · 2024
- ChatGPT vs Social Surveys: Probing Objective and Subjective Silicon Population
Muzhi Zhou, Lu Yu, Xiaomin Geng, Lan Luo · 2024
- Introduction to Machine Learning
Laurent Younes · 2024
- Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
Zhicheng Ren, Zhiping Xiao, Yizhou Sun · 2024
- Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes
Mehmet Kerem Turkcan, Yuyang Li, Chengbo Zang, Javad Ghaderi, Gil Zussman, Zoran Kostic · 2024
- Generative artificial intelligence for computational chemistry: a roadmap to predicting emergent phenomena
Pratyush Tiwary, Lukas Herron, Richard John, Suemin Lee, Disha Sanwal, Ruiyu Wang · 2024
- The AdEMAMix Optimizer: Better, Faster, Older
Matteo Pagliardini, Pierre Ablin, David Grangier · 2024
- Hardware Acceleration of LLMs: A comprehensive survey and comparison
Nikoletta Koilia, Christoforos Kachris · 2024
- Quantum features of the transport through ion channels in the soft knock-on model
Mateusz Polakowski, Miłosz Panfil · 2024
- From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents
Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun · 2024
- Experimental evidence that a photon can spend a negative amount of time in an atom cloud
Daniela Angulo, Kyle Thompson, Vida-Michelle Nixon, Andy Jiao, Howard M. Wiseman, Aephraim M. Steinberg · 2024
- RAG based Question-Answering for Contextual Response Prediction System
Sriram Veturi, Saurabh Vaichal, Reshma Lal Jagadheesh, Nafis Irtiza Tripto, Nian Yan · 2024
- A Confidential Computing Transparency Framework for a Comprehensive Trust Chain
Ceren Kocaoğullar, Tina Marjanov, Ivan Petrov, Ben Laurie, Al Cutter, Christoph Kern, Alice Hutchings, Alastair R. Beresford · 2024
- Planning In Natural Language Improves LLM Search For Code Generation
Evan Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, Will Song, Vaskar Nath, Ziwen Han, Sean Hendryx, Summer Yue, Hugh Zhang · 2024
- AI, Entrepreneurs, and Privacy: Deep Learning Outperforms Humans in Detecting Entrepreneurs from Image Data
Martin Obschonka, Christian Fisch, Tharindu Fernando, Clinton Fookes · 2024
- APITestGenie: Automated API Test Generation through Generative AI
André Pereira, Bruno Lima, João Pascoal Faria · 2024
- The MLIR Transform Dialect. Your compiler is more powerful than you think
Martin Paul Lücke, Oleksandr Zinenko, William S. Moses, Michel Steuwer, Albert Cohen · 2024
- The Influence of Faulty Labels in Data Sets on Human Pose Estimation
Arnold Schwarz, Levente Hernadi, Felix Bießmann, Kristian Hildebrand · 2024
- Extracting and Storing Energy From a Quasi-Vacuum on a Quantum Computer
Songbo Xie, Manas Sajjan, Sabre Kais · 2024
- Confidential Computing on NVIDIA Hopper GPUs: A Performance Benchmark Study
Jianwei Zhu, Hang Yin, Peng Deng, Aline Almeida, Shunfan Zhou · 2024
- Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Chenglei Si, Diyi Yang, Tatsunori Hashimoto · 2024
- GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers
Lorenza Prospero, Abdullah Hamdi, Joao F. Henriques, Christian Rupprecht · 2024
- Topological Quantum Materials with Kagome Lattice
Qi Wang, Hechang Lei, Yanpeng Qi, Claudia Felser · 2024
- Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi · 2024