All paper pages
28734 retained paper pages. Page 198 of 288.
- Algorithmic Collusion by Large Language Models
Sara Fish, Yannai A. Gonczarowski, Ran I. Shorrer · 2024
- Do language models plan ahead for future tokens?
Wilson Wu, John X. Morris, Lionel Levine · 2024
- Source-Aware Training Enables Knowledge Attribution in Language Models
Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng · 2024
- ARAGOG: Advanced RAG Output Grading
Matouš Eibich, Shivay Nagpal, Alexander Fred-Ojala · 2024
- A simplified proof of the CSP Dichotomy Conjecture and XY-symmetric operations
Dmitriy Zhuk · 2024
- Enabling Memory Safety of C Programs using LLMs
Nausheen Mohammed, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma · 2024
- Search for gravitationally lensed interstellar transmissions
Slava G. Turyshev · 2024
- The Countable Reals
Andrej Bauer, James E. Hanson · 2024
- FABLES: Evaluating faithfulness and content selection in book-length summarization
Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer · 2024
- Mapping the Increasing Use of LLMs in Scientific Papers
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D Manning, James Y. Zou · 2024
- Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan · 2024
- NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurelie Lozano, Payel Das, Georgios Kollias · 2024
- Explaining Large Language Models Decisions Using Shapley Values
Behnam Mohammadi · 2024
- CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs
Jingzhe Shi, Jialuo Li, Qinwei Ma, Zaiwen Yang, Huan Ma, Lei Li · 2024
- Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar · 2024
- Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Dhruv Pai, Andrey Gromov, Daniel A. Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo · 2024
- Are large language models superhuman chemists?
Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, Martiño Ríos-García, Benedict Emoekabu, Aswanth Krishnan, Tanya Gupta, Mara Schilling-Wilhelmi, Macjonathan Okereke, Anagha Aneesh, Amir Mohammad Elahi, Mehrdad Asgari, Juliane Eberhardt, Hani M. Elbeheiry, María Victoria Gil, Maximilian Greiner, Caroline T. Holick, Christina Glaubitz, Tim Hoffmann, Abdelrahman Ibrahim, Lea C. Klepsch, Yannik Köster, Fabian Alexander Kreth, Jakob Meyer, Santiago Miret, Jan Matthias Peschel, Michael Ringleb, Nicole Roesner, Johanna Schreiber, Ulrich S. Schubert, Leanne M. Stafast, Dinga Wonanke, Michael Pieler, Philippe Schwaller, Kevin Maik Jablonka · 2024
- A Study on Scaling Up Multilingual News Framing Analysis
Syeda Sabrina Akter, Antonios Anastasopoulos · 2024
- Octopus v2: On-device language model for super agent
Wei Chen, Zhiyuan Li · 2024
- Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
Eric MSP Veith, Torben Logemann, Aleksandr Berezin, Arlena Wellßow, Stephan Balduin · 2024
- Multitask-based Evaluation of Open-Source LLM on Software Vulnerability
Xin Yin, Chao Ni, Shaohua Wang · 2024
- Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun · 2024
- The Effects of Group Sanctions on Participation and Toxicity: Quasi-experimental Evidence from the Fediverse
Carl Colglazier, Nathan TeBlunthuis, Aaron Shaw · 2024
- Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion · 2024
- A shared compilation stack for distributed-memory parallelism in stencil DSLs
George Bisbas, Anton Lydike, Emilien Bauer, Nick Brown, Mathieu Fehr, Lawrence Mitchell, Gabriel Rodriguez-Canal, Maurice Jamieson, Paul H. J. Kelly, Michel Steuwer, Tobias Grosser · 2024
- A Mixed-Methods Study on the Implications of Unsafe Rust for Interoperation, Encapsulation, and Tooling
Ian McCormack, Tomas Dougan, Sam Estep, Hanan Hibshi, Jonathan Aldrich, Joshua Sunshine · 2024
- Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
David Raposo, Sam Ritter, Blake Richards, Timothy Lillicrap, Peter Conway Humphreys, Adam Santoro · 2024
- Collapse of Self-trained Language Models
David Herel, Tomas Mikolov · 2024
- Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Seonghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo · 2024
- Rendering string diagrams recursively
Celia Rubio-Madrigal, Jules Hedges · 2024
- Faster Diffusion via Temporal Attention Decomposition
Haozhe Liu, Wentian Zhang, Jinheng Xie, Francesco Faccio, Mengmeng Xu, Tao Xiang, Mike Zheng Shou, Juan-Manuel Perez-Rua, Jürgen Schmidhuber · 2024
- Toward Inference-optimal Mixture-of-Expert Large Language Models
Longfei Yun, Yonghao Zhuang, Yao Fu, Eric P Xing, Hao Zhang · 2024
- Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang · 2024
- Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
Victor J. B. Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini · 2024
- DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations
DESI Collaboration, A. G. Adame, J. Aguilar, S. Ahlen, S. Alam, D. M. Alexander, M. Alvarez, O. Alves, A. Anand, U. Andrade, E. Armengaud, S. Avila, A. Aviles, H. Awan, B. Bahr-Kalus, S. Bailey, C. Baltay, A. Bault, J. Behera, S. BenZvi, A. Bera, F. Beutler, D. Bianchi, C. Blake, R. Blum, S. Brieden, A. Brodzeller, D. Brooks, E. Buckley-Geer, E. Burtin, R. Calderon, R. Canning, A. Carnero Rosell, R. Cereskaite, J. L. Cervantes-Cota, S. Chabanier, E. Chaussidon, J. Chaves-Montero, S. Chen, X. Chen, T. Claybaugh, S. Cole, A. Cuceu, T. M. Davis, K. Dawson, A. de la Macorra, A. de Mattia, N. Deiosso, A. Dey, B. Dey, Z. Ding, P. Doel, J. Edelstein, S. Eftekharzadeh, D. J. Eisenstein, A. Elliott, P. Fagrelius, K. Fanning, S. Ferraro, J. Ereza, N. Findlay, B. Flaugher, A. Font-Ribera, D. Forero-Sánchez, J. E. Forero-Romero, C. S. Frenk, C. Garcia-Quintero, E. Gaztañaga, H. Gil-Marín, S. Gontcho A Gontcho, A. X. Gonzalez-Morales, V. Gonzalez-Perez, C. Gordon, D. Green, D. Gruen, R. Gsponer, G. Gutierrez, J. Guy, B. Hadzhiyska, C. Hahn, M. M. S Hanif, H. K. Herrera-Alcantar, K. Honscheid, C. Howlett, D. Huterer, V. Iršič, M. Ishak, S. Juneau, N. G. Karaçaylı, R. Kehoe, S. Kent, D. Kirkby, A. Kremin, A. Krolewski, Y. Lai, T. -W. Lan, M. Landriau, D. Lang, J. Lasker, J. M. Le Goff, L. Le Guillou, A. Leauthaud, M. E. Levi, T. S. Li, E. Linder, K. Lodha, C. Magneville, M. Manera, D. Margala, P. Martini, M. Maus, P. McDonald, L. Medina-Varela, A. Meisner, J. Mena-Fernández, R. Miquel, J. Moon, S. Moore, J. Moustakas, N. Mudur, E. Mueller, A. Muñoz-Gutiérrez, A. D. Myers, S. Nadathur, L. Napolitano, R. Neveux, J. A. Newman, N. M. Nguyen, J. Nie, G. Niz, H. E. Noriega, N. Padmanabhan, E. Paillas, N. Palanque-Delabrouille, J. Pan, S. Penmetsa, W. J. Percival, M. M. Pieri, M. Pinon, C. Poppett, A. Porredon, F. Prada, A. Pérez-Fernández, I. Pérez-Ràfols, D. Rabinowitz, A. Raichoor, C. Ramírez-Pérez, S. Ramirez-Solano, C. Ravoux, M. Rashkovetskyi, M. Rezaie, J. Rich, A. Rocher, C. Rockosi, N. A. Roe, A. Rosado-Marin, A. J. Ross, G. Rossi, R. Ruggeri, V. Ruhlmann-Kleider, L. Samushia, E. Sanchez, C. Saulder, E. F. Schlafly, D. Schlegel, M. Schubnell, H. Seo, A. Shafieloo, R. Sharples, J. Silber, A. Slosar, A. Smith, D. Sprayberry, T. Tan, G. Tarlé, P. Taylor, S. Trusov, L. A. Ureña-López, R. Vaisakh, D. Valcin, F. Valdes, M. Vargas-Magaña, L. Verde, M. Walther, B. Wang, M. S. Wang, B. A. Weaver, N. Weaverdyck, R. H. Wechsler, D. H. Weinberg, M. White, J. Yu, Y. Yu, S. Yuan, C. Yèche, E. A. Zaborowski, P. Zarrouk, H. Zhang, C. Zhao, R. Zhao, R. Zhou, T. Zhuang, H. Zou · 2024
- Autonomous Vehicle Networks for More Reliable Truck Tracking in Challenged High Mountain Roads, Tunnels and Bridges Environments
Junhao Chen, Milena Radenkovic · 2024
- Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang · 2024
- Analyzing Warp Drive Spacetimes with Warp Factory
Christopher Helmerich, Jared Fuchs, Alexey Bobrick, Luke Sellers, Brandon Melcher, Gianni Martire · 2024
- First detection in space of the high-energy isomer of cyanomethanimine: H2CNCN
David San Andrés, Víctor M. Rivilla, Laura Colzi, Izaskun Jiménez-Serra, Jesús Martín-Pintado, Andrés Megías, Álvaro López-Gallifa, Antonio Martínez-Henares, Sarah Massalkhi, Shaoshan Zeng, Miguel Sanz-Novo, Belén Tercero, Pablo de Vicente, Sergio Martín, Miguel A. Requena-Torres, Germán Molpeceres, Juan García de la Concepción · 2024
- AI and the Problem of Knowledge Collapse
Andrew J. Peterson · 2024
- ReFT: Representation Finetuning for Language Models
Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts · 2024
- On the Efficiency of Convolutional Neural Networks
Andrew Lavin · 2024
- Training LLMs over Neurally Compressed Text
Brian Lester, Jaehoon Lee, Alex Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant · 2024
- LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine
Erblin Isaku, Christoph Laaber, Hassan Sartaj, Shaukat Ali, Thomas Schwitalla, Jan F. Nygård · 2024
- Stream of Search (SoS): Learning to Search in Language
Kanishk Gandhi, Denise Lee, Gabriel Grand, Muxin Liu, Winson Cheng, Archit Sharma, Noah D. Goodman · 2024
- Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Corby Rosset, Ching-An Cheng, Arindam Mitra, Michael Santacroce, Ahmed Awadallah, Tengyang Xie · 2024
- Metropolitan-scale heralded entanglement of solid-state qubits
Arian J. Stolk, Kian L. van der Enden, Marie-Christine Slater, Ingmar te Raa-Derckx, Pieter Botma, Joris van Rantwijk, Benjamin Biemond, Ronald A. J. Hagen, Rodolf W. Herfst, Wouter D. Koek, Arjan J. H. Meskers, René Vollmer, Erwin J. van Zwet, Matthew Markham, Andrew M. Edmonds, Jan Fabian Geus, Florian Elsen, Bernd Jungbluth, Constantin Haefner, Christoph Tresp, Jürgen Stuhler, Stephan Ritter, Ronald Hanson · 2024
- Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations
Mahjabin Nahar, Haeseung Seo, Eun-Ju Lee, Aiping Xiong, Dongwon Lee · 2024
- $Π_{2}^{P}$ vs PSpace Dichotomy for the Quantified Constraint Satisfaction Problem
Dmitriy Zhuk · 2024
- Habitability constraints by nutrient availability in atmospheres of rocky exoplanets
Oliver Herbort, Peter Woitke, Christiane Helling, Aubrey L. Zerkle · 2024
- Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer
Hele-Andra Kuulmets, Taido Purason, Agnes Luhtaru, Mark Fishel · 2024
- No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H. S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge · 2024
- Social Skill Training with Large Language Models
Diyi Yang, Caleb Ziems, William Held, Omar Shaikh, Michael S. Bernstein, John Mitchell · 2024
- The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang · 2024
- Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann, Celestine Mendler-Dünner · 2024
- Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings
Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair · 2024
- Assisting humans in complex comparisons: automated information comparison at scale
Truman Yuen, Graham A. Watt, Yuri Lawryshyn · 2024
- Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes
Divyanshu Kumar, Anurakt Kumar, Sahil Agarwal, Prashanth Harshangi · 2024
- AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research
Anirban Mukherjee, Hannah Hanwen Chang · 2024
- Exploring Autonomous Agents through the Lens of Large Language Models: A Review
Saikat Barua · 2024
- Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang · 2024
- PhyloLM : Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
Nicolas Yax, Pierre-Yves Oudeyer, Stefano Palminteri · 2024
- MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, Caiwen Ding · 2024
- Soft Demapping of Spherical Codes from Cartesian Powers of PAM Constellations
Reza Rafie Borujeny, Susanna E. Rumsey, Stark C. Draper, Frank R. Kschischang · 2024
- LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead
Junda He, Christoph Treude, David Lo · 2024
- QRscript: Embedding a Programming Language in QR codes to support Decision and Management
Stefano Scanzio, Gianluca Cena, Adriano Valenzano · 2024
- Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
Zeyuan Allen-Zhu, Yuanzhi Li · 2024
- AutoCodeRover: Autonomous Program Improvement
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, Abhik Roychoudhury · 2024
- RoT: Enhancing Large Language Models with Reflection on Search Trees
Wenyang Hui, Kewei Tu · 2024
- Characterising the Higgs boson with ATLAS data from Run 2 of the LHC
ATLAS Collaboration · 2024
- Guiding Large Language Models to Generate Computer-Parsable Content
Jiaye Wang · 2024
- ALMA Spectroscopy of Europa: A Search for Active Plumes
M. A. Cordiner, A. E. Thelen, I. -L. Lai, W. -L. Tseng, C. A. Nixon, Y. -J. Kuan, G. L. Villanueva, L. Paganini, S. B. Charnley, K. D. Retherford · 2024
- YaART: Yet Another ART Rendering Technology
Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov · 2024
- In-situ Imaging of a Single-Atom Wave Packet in Continuous Space
Joris Verstraten, Kunlun Dai, Maxime Dixmerias, Bruno Peaudecerf, Tim de Jongh, Tarik Yefsah · 2024
- Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Keen You, Haotian Zhang, Eldon Schoop, Floris Weers, Amanda Swearngin, Jeffrey Nichols, Yinfei Yang, Zhe Gan · 2024
- Enhancing Inference Efficiency of Large Language Models: Investigating Optimization Strategies and Architectural Innovations
Georgy Tyukin · 2024
- Database-Driven Mathematical Inquiry
Steven Clontz · 2024
- CodecLM: Aligning Language Models with Tailored Synthetic Data
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister · 2024
- Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemysław Kazienko, Kranthi Kiran GV, Jan Kocoń, Bartłomiej Koptyra, Satyapriya Krishna, Ronald McClelland, Jiaju Lin, Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Cahya Wirawan, Stanisław Woźniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu · 2024
- WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents
Michael Lutz, Arth Bohra, Manvel Saroyan, Artem Harutyunyan, Giovanni Campagna · 2024
- Natural Learning
Hadi Fanaee-T · 2024
- LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy · 2024
- Does Transformer Interpretability Transfer to RNNs?
Gonçalo Paulo, Thomas Marshall, Nora Belrose · 2024
- PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs
Alessandro Berti · 2024
- RAR-b: Reasoning as Retrieval Benchmark
Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed · 2024
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zheng Leng Thai, Kaihuo Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun · 2024
- Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
Shiven Sinha, Ameya Prabhu, Ponnurangam Kumaraguru, Siddharth Bhat, Matthias Bethge · 2024
- Flying with Photons: Rendering Novel Views of Propagating Light
Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell · 2024
- InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Kai Chen, Conghui He, Xingcheng Zhang, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang · 2024
- RULER: What's the Real Context Size of Your Long-Context Language Models?
Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, Shantanu Acharya, Dima Rekesh, Fei Jia, Yang Zhang, Boris Ginsburg · 2024
- Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models
Hailong Shu, Yue Wang, Weiwei Song, Huichuang Guo, Zhen Song · 2024
- Impact of Extensions on Browser Performance: An Empirical Study on Google Chrome
Bihui Jin, Heng Li, Ying Zou · 2024
- Edge Detection Quantumized: A Novel Quantum Algorithm For Image Processing
Syed Emad Uddin Shubha, Mir Muzahedul Islam, Tanvir Ahahmed Sadi, Md. Hasibul Hasan Miraz, M. R. C. Mahdy · 2024
- GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications
Shishir G. Patil, Tianjun Zhang, Vivian Fang, Noppapon C., Roy Huang, Aaron Hao, Martin Casado, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica · 2024
- From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications
Yongqiang Ma, Lizhi Qing, Jiawei Liu, Yangyang Kang, Yue Zhang, Wei Lu, Xiaozhong Liu, Qikai Cheng · 2024
- Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal · 2024
- Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter · 2024
- InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Jiale Xu, Weihao Cheng, Yiming Gao, Xintao Wang, Shenghua Gao, Ying Shan · 2024
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
Kunal Sawarkar, Abhilasha Mangal, Shivam Raj Solanki · 2024
- Is Complexity an Illusion?
Michael Timothy Bennett · 2024