All paper pages
28734 retained paper pages. Page 222 of 288.
- Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang · 2024
- 1.58-bit FLUX
Chenglin Yang, Celong Liu, Xueqing Deng, Dongwon Kim, Xing Mei, Xiaohui Shen, Liang-Chieh Chen · 2024
- Gamma-ray bursts: what do we know today that we did not know 10 years ago?
Asaf Pe'er · 2024
- AgreeMate: Teaching LLMs to Haggle
Ainesh Chatterjee, Samuel Miller, Nithin Parepally · 2024
- WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting
Chenghao Qian, Yuhu Guo, Wenjing Li, Gustav Markkula · 2024
- CuClarabel: GPU Acceleration for a Conic Optimization Solver
Yuwen Chen, Danny Tse, Parth Nobel, Paul Goulart, Stephen Boyd · 2024
- Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
Shamik Bhattacharjee, Kamlesh Marathe, Hitesh Kapoor, Nilesh Patil · 2024
- MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes
Asma Ben Abacha, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia, Thomas Lin · 2024
- Memory-Centric Computing: Recent Advances in Processing-in-DRAM
Onur Mutlu, Ataberk Olgun, Geraldo F. Oliveira, Ismail Emir Yuksel · 2024
- RAG with Differential Privacy
Nicolas Grislain · 2024
- DeepSeek-V3 Technical Report
DeepSeek-AI, Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jiawei Wang, Jin Chen, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong Li, Junxiao Song, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Litong Wang, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qiancheng Wang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, Runxin Xu, Ruoyu Zhang, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Shuting Pan, T. Wang, Tao Yun, Tian Pei, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wanjia Zhao, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaokang Zhang, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun, Xiaoxiang Wang, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xingkai Yu, Xinnan Song, Xinxia Shan, Xinyi Zhou, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, Y. K. Li, Y. Q. Wang, Y. X. Wei, Y. X. Zhu, Yang Zhang, Yanhong Xu, Yanhong Xu, Yanping Huang, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Li, Yaohui Wang, Yi Yu, Yi Zheng, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Ying Tang, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yu Wu, Yuan Ou, Yuchen Zhu, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yukun Zha, Yunfan Xiong, Yunxian Ma, Yuting Yan, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Z. F. Wu, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhen Huang, Zhen Zhang, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhibin Gou, Zhicheng Ma, Zhigang Yan, Zhihong Shao, Zhipeng Xu, Zhiyu Wu, Zhongyu Zhang, Zhuoshu Li, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Ziyi Gao, Zizheng Pan · 2024
- Casevo: A Cognitive Agents and Social Evolution Simulator
Zexun Jiang, Yafang Shi, Maoxu Li, Hongjiang Xiao, Yunxiao Qin, Qinglan Wei, Ye Wang, Yuan Zhang · 2024
- Complement or substitute? How AI increases the demand for human skills
Elina Mäkelä, Matthew Bone, Mareike Sehrer, Farah Nanji, Fabian Stephany · 2024
- Direct estimates of irreversibility from time series
Trevor GrandPre, Gianluca Teza, William Bialek · 2024
- Predicting Human Brain States with Transformer
Yifei Sun, Mariano Cabezas, Jiah Lee, Chenyu Wang, Wei Zhang, Fernando Calamante, Jinglei Lv · 2024
- Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models
Yun-Chen Lo, Gu-Yeon Wei, David Brooks · 2024
- A Fully Hardware Implemented Accelerator Design in ReRAM Analog Computing without ADCs
Peng Dang, Huawei Li, Wei Wang · 2024
- Will you donate money to a chatbot? The effect of chatbot anthropomorphic features and persuasion strategies on willingness to donate
Ekaterina Novozhilova, Jiacheng Huang, Le He, Ziling Li, James Cummings · 2024
- Rep-Tiles
Ryan Blair, Patricia Cahn, Alexandra Kjuchukova, Hannah Schwartz · 2024
- TradingAgents: Multi-Agents LLM Financial Trading Framework
Yijia Xiao, Edward Sun, Di Luo, Wei Wang · 2024
- Evaluation of Bfloat16, Posit, and Takum Arithmetics in Sparse Linear Solvers
Laslo Hunhold, James Quinlan · 2024
- An analytic theory of creativity in convolutional diffusion models
Mason Kamb, Surya Ganguli · 2024
- EXAdam: The Power of Adaptive Cross-Moments
Ahmed M. Adly · 2024
- Princ-wiki-a Mathematica: Wikipedia editing and mathematics
David Eppstein, Joel Brewster Lewis, Russ Woodroofe, XOR'easter · 2024
- Dive into Time-Series Anomaly Detection: A Decade Review
Paul Boniol, Qinghua Liu, Mingyi Huang, Themis Palpanas, John Paparrizos · 2024
- Bayesian Networks and Proof-Nets: a proof-theoretical account of Bayesian Inference
Thomas Ehrhard, Claudia Faggian, Michele Pagani · 2024
- The Impact of Prompt Programming on Function-Level Code Generation
Ranim Khojah, Francisco Gomes de Oliveira Neto, Mazen Mohamad, Philipp Leitner · 2024
- Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
Shanqing Yu, Meng Zhou, Jintao Zhou, Minghao Zhao, Yidan Song, Yao Lu, Zeyu Wang, Qi Xuan · 2024
- ExpShield: Safeguarding Web Text from Unauthorized Crawling and LLM Exploitation
Ruixuan Liu, Toan Tran, Tianhao Wang, Hongsheng Hu, Shuo Wang, Li Xiong · 2024
- Functional Risk Minimization
Ferran Alet, Clement Gehring, Tomás Lozano-Pérez, Kenji Kawaguchi, Joshua B. Tenenbaum, Leslie Pack Kaelbling · 2024
- Hint at an axion-like particle from GRB 221009A
Giorgio Galanti, Lara Nava, Marco Roncadelli, Fabrizio Tavecchio, Giacomo Bonnoli · 2024
- Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu · 2024
- NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions
Ben Welsh, Naitian Zhou, Arda Kaz, Michael Vu, Alexander Spangher · 2024
- Did we miss P In CAP? Partial Progress Conjecture under Asynchrony
Junchao Chen, Suyash Gupta, Daniel P. Hughes, Mohammad Sadoghi · 2024
- ICLR: In-Context Learning of Representations
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka · 2024
- Position Information Emerges in Causal Transformers Without Positional Encodings via Similarity of Nearby Embeddings
Chunsheng Zuo, Pavel Guerzhoy, Michael Guerzhoy · 2024
- LTX-Video: Realtime Video Latent Diffusion
Yoav HaCohen, Nisan Chiprut, Benny Brazowski, Daniel Shalem, Dudu Moshe, Eitan Richardson, Eran Levin, Guy Shiran, Nir Zabari, Ori Gordon, Poriya Panet, Sapir Weissbuch, Victor Kulikov, Yaki Bitterman, Zeev Melumian, Ofir Bibi · 2024
- The Extreme Space Weather Event of 1872 February: Sunspots, Magnetic Disturbance, and Auroral Displays
Hisashi Hayakawa, Edward W. Cliver, Frédéric Clette, Yusuke Ebihara, Shin Toriumi, Ilaria Ermolli, Theodosios Chatzistergos, Kentaro Hattori, Delores J. Knipp, Séan P. Blake, Gianna Cauzzi, Kevin Reardon, Philippe-A. Bourdin, Dorothea Just, Mikhail Vokhmyanin, Keitaro Matsumoto, Yoshizumi Miyoshi, José R. Ribeiro, Ana P. Correia, David M. Willis, Matthew N. Wild, Sam M. Silverman · 2024
- Debunking the CUDA Myth Towards GPU-based AI Systems
Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu · 2024
- Phase behavior of Cacio e Pepe sauce
Giacomo Bartolucci, Daniel Maria Busiello, Matteo Ciarchi, Alberto Corticelli, Ivan Di Terlizzi, Fabrizio Olmeda, Davide Revignas, Vincenzo Maria Schimmenti · 2024
- Detection of H2O and CO2 in the Atmosphere of the Hot Super-Neptune WASP-166b with JWST
Andrew W. Mayo, Charles D. Fortenbach, Dana R. Louie, Courtney D. Dressing, Emma V. Turtelboom, Steven Giacalone, Caleb K. Harada · 2024
- Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting
Kyle Gao, Liangzhi Li, Hongjie He, Dening Lu, Linlin Xu, Jonathan Li · 2024
- Finding Missed Code Size Optimizations in Compilers using LLMs
Davide Italiano, Chris Cummins · 2024
- 2 OLMo 2 Furious
Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Allyson Ettinger, Michal Guerquin, David Heineman, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Jake Poznanski, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi · 2024
- Titans: Learning to Memorize at Test Time
Ali Behrouz, Peilin Zhong, Vahab Mirrokni · 2024
- Fisher Information in Kinetic Theory
Cédric Villani · 2025
- Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Jingfeng Yao, Bin Yang, Xinggang Wang · 2025
- Beyond Introspection: Reinforcing Thinking via Externalist Behavioral Feedback
Diji Yang, Linda Zeng, Kezhen Chen, Yi Zhang · 2024
- Long Context vs. RAG for LLMs: An Evaluation and Revisits
Xinze Li, Yixin Cao, Yubo Ma, Aixin Sun · 2024
- Metadata Conditioning Accelerates Language Model Pre-training
Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen · 2025
- Is Your Image a Good Storyteller?
Xiujie Song, Xiaoyi Pang, Haifeng Tang, Mengyue Wu, Kenny Q. Zhu · 2024
- Abundant Water from Early Supernovae at Cosmic Dawn
Daniel J. Whalen, Muhammad A. Latif, Christopher Jessop · 2025
- Instruction-Following Pruning for Large Language Models
Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei · 2025
- LLMzSzŁ: a comprehensive LLM benchmark for Polish
Krzysztof Jassem, Michał Ciesiółka, Filip Graliński, Piotr Jabłoński, Jakub Pokrywka, Marek Kubis, Monika Jabłońska, Ryszard Staruch · 2025
- Optimal Bounds for Open Addressing Without Reordering
Martin Farach-Colton, Andrew Krapivin, William Kuszmaul · 2025
- STRAW: A Stress-Aware WL-Based Read Reclaim Technique for High-Density NAND Flash-Based SSDs
Myoungjun Chun, Jaeyong Lee, Inhyuk Choi, Jisung Park, Myungsuk Kim, Jihong Kim · 2025
- Flash Interpretability: Decoding Specialised Feature Neurons in Large Language Models with the LM-Head
Harry J Davies · 2025
- Randomly Sampled Language Reasoning Problems Elucidate Limitations of In-Context Learning
Kavi Gupta, Kate Sanders, Armando Solar-Lezama · 2025
- Key-value memory in the brain
Samuel J. Gershman, Ila Fiete, Kazuki Irie · 2025
- Piano Transcription by Hierarchical Language Modeling with Pretrained Roll-based Encoders
Dichucheng Li, Yongyi Zang, Qiuqiang Kong · 2025
- MVP: Multimodal Emotion Recognition based on Video and Physiological Signals
Valeriya Strizhkova, Hadi Kachmar, Hava Chaptoukaev, Raphael Kalandadze, Natia Kukhilava, Tatia Tsmindashvili, Nibras Abo-Alzahab, Maria A. Zuluaga, Michal Balazia, Antitza Dantcheva, François Brémond, Laura Ferrari · 2025
- Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches
Alhassan Mumuni, Fuseini Mumuni · 2025
- Universality in quantum critical flow of charge and heat in ultra-clean graphene
Aniket Majumdar, Nisarg Chadha, Pritam Pal, Akash Gugnani, Bhaskar Ghawri, Kenji Watanabe, Takashi Taniguchi, Subroto Mukerjee, Arindam Ghosh · 2025
- Gravitational Communication: Fundamentals, State-of-the-Art and Future Vision
Houtianfu Wang, Ozgur B. Akan · 2024
- REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
Jian Hu, Jason Klein Liu, Haotian Xu, Wei Shen · 2025
- ComMer: a Framework for Compressing and Merging User Data for Personalization
Yoel Zeldes, Amir Zait, Ilia Labzovsky, Danny Karmon, Efrat Farkash · 2025
- Can LLMs Ask Good Questions?
Yueheng Zhang, Xiaoyuan Liu, Yiyou Sun, Atheer Alharbi, Hend Alzahrani, Tianneng Shi, Basel Alomair, Dawn Song · 2025
- Market Making with Fads, Informed, and Uninformed Traders
Emilio Barucci, Adrien Mathieu, Leandro Sánchez-Betancourt · 2025
- Extreme-temperature single-particle heat engine
Molly Message, Federico Cerisola, Jonathan D. Pritchett, Katie O'Flynn, Yugang Ren, Muddassar Rashid, Janet Anders, James Millen · 2025
- LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Shaolei Zhang, Qingkai Fang, Zhe Yang, Yang Feng · 2025
- NeuralSVG: An Implicit Representation for Text-to-Vector Generation
Sagi Polaczek, Yuval Alaluf, Elad Richardson, Yael Vinker, Daniel Cohen-Or · 2025
- Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning
Natalya Weber, Christian Guckelsberger, Tom Froese · 2024
- A Survey on Large Language Models with some Insights on their Capabilities and Limitations
Andrea Matarazzo, Riccardo Torlone · 2025
- RaZeR: Pushing the Limits of NVFP4 Quantization with Redundant Zero Remapping
Yuzong Chen, Xilai Dai, Jake Hyun, Chi-Chih Chang, Wonsuk Jang, Yuheng Wu, Thierry Tambe, Jae-sun Seo, Mohamed S. Abdelfattah · 2025
- More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
Xiaoqing Zhang, Ang Lv, Yuhan Liu, Flood Sung, Wei Liu, Jian Luan, Shuo Shang, Xiuying Chen, Rui Yan · 2025
- Non-stop Variability of Sgr A* using JWST at 2.1 and 4.8 micron Wavelengths: Evidence for Distinct Populations of Faint and Bright Variable Emission
F. Yusef-Zadeh, H. Bushouse, R. G. Arendt, M. Wardle, J. M. Michail, C. J. Chandler · 2025
- Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, Hamed Zamani · 2025
- Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Michael Moor, Zicheng Liu, Emad Barsoum · 2025
- Neural Parameter Estimation with Incomplete Data
Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Noel Cressie, Raphaël Huser · 2025
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang · 2025
- Goldilocks Isolation: High Performance VMs with Edera
Marina Moore, Alex Zenla · 2025
- Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe
Marco Bonici, Guido D'Amico, Julien Bel, Carmelita Carbone · 2025
- Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
Violet Xiang, Charlie Snell, Kanishk Gandhi, Alon Albalak, Anikait Singh, Chase Blagden, Duy Phung, Rafael Rafailov, Nathan Lile, Dakota Mahan, Louis Castricato, Jan-Philipp Franken, Nick Haber, Chelsea Finn · 2025
- Grokking at the Edge of Numerical Stability
Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano, Tolga Birdal · 2025
- Search engines in polarized media environment: Auditing political information curation on Google and Bing prior to 2024 US elections
Mykola Makhortykh, Tobias Rorhbach, Maryna Sydorova, Elizaveta Kuznetsova · 2025
- TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
Felix Krause, Timy Phan, Ming Gui, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer · 2025
- Do Code LLMs Understand Design Patterns?
Zhenyu Pan, Xuefeng Song, Yunkun Wang, Rongyu Cao, Binhua Li, Yongbin Li, Han Liu · 2025
- Open Problems in Machine Unlearning for AI Safety
Fazl Barez, Tingchen Fu, Ameya Prabhu, Stephen Casper, Amartya Sanyal, Adel Bibi, Aidan O'Gara, Robert Kirk, Ben Bucknall, Tim Fist, Luke Ong, Philip Torr, Kwok-Yan Lam, Robert Trager, David Krueger, Sören Mindermann, José Hernandez-Orallo, Mor Geva, Yarin Gal · 2025
- High-resolution imaging of the radio source associated with Project Hephaistos Dyson Sphere Candidate G
Tongtian Ren, Michael A. Garrett, Andrew P. V. Siemion · 2025
- Timing Properties of the Starlink Ku-Band Downlink
Wenkai Qin, Andrew M. Graff, Zachary L. Clements, Zacharias M. Komodromos, Todd E. Humphreys · 2025
- Search-o1: Agentic Search-Enhanced Large Reasoning Models
Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou · 2025
- Neuro-Symbolic AI in 2024: A Systematic Review
Brandon C. Colelough, William Regli · 2025
- Enabling GPU Portability into the Numba-JITed Monte Carlo Particle Transport Code MC/DC
Joanna Piper Morgan, Braxton Cuneo, Ilham Variansyah, Kyle E. Niemeyer · 2025
- The GAN is dead; long live the GAN! A Modern GAN Baseline
Yiwen Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin · 2025
- Decentralized Diffusion Models
David McAllister, Matthew Tancik, Jiaming Song, Angjoo Kanazawa · 2025
- Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026)
Akanksha Gupta, Bijo Thomas, Harshita Asnani, Phanindra Reddy Madduru, Samia Feroze, Shreyas Subramanian, Vikram Elango, Mecit Gungor · 2025
- The Future of AI: Exploring the Potential of Large Concept Models
Hussain Ahmad, Diksha Goel · 2025
- Spatial Information Integration in Small Language Models for Document Layout Generation and Classification
Pablo Melendez, Clemens Havas · 2025
- Generative Flow Networks: Theory and Applications to Structure Learning
Tristan Deleu · 2025
- Shrink the longest: improving latent space isotropy with symplicial geometry
Sergei Kudriashov, Olesya Karpik, Eduard Klyshinsky · 2025