HackerPapers

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28734 retained paper pages. Page 227 of 288.

  1. Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

    Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris · 2025

  2. Prompt-to-Leaderboard

    Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios N. Angelopoulos, Ion Stoica · 2025

  3. ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

    Shuyue Stella Li, Jimin Mun, Faeze Brahman, Pedram Hosseini, Bryceton G. Thomas, Jessica M. Sin, Bing Ren, Jonathan S. Ilgen, Yulia Tsvetkov, Maarten Sap · 2025

  4. CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMs

    Insu Han, Zeliang Zhang, Zhiyuan Wang, Yifan Zhu, Susan Liang, Jiani Liu, Haiting Lin, Mingjie Zhao, Chenliang Xu, Kun Wan, Wentian Zhao · 2025

  5. A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models

    Changhoon Kim, Yanjun Qi · 2025

  6. Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting

    Hamid Moradi-Kamali, Mohammad-Hossein Rajabi-Ghozlou, Mahdi Ghazavi, Ali Soltani, Amirreza Sattarzadeh, Reza Entezari-Maleki · 2025

  7. Think Inside the JSON: Reinforcement Strategy for Strict LLM Schema Adherence

    Bhavik Agarwal, Ishan Joshi, Viktoria Rojkova · 2025

  8. GneissWeb: Preparing High Quality Data for LLMs at Scale

    Hajar Emami Gohari, Swanand Ravindra Kadhe, Syed Yousaf Shah, Constantin Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo Angel, Santosh Subhashrao Borse, Yuan-Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuyo Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschläger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee · 2025

  9. SIFT: Grounding LLM Reasoning in Contexts via Stickers

    Zihao Zeng, Xuyao Huang, Boxiu Li, Zhijie Deng · 2025

  10. Hier-SLAM++: Neuro-Symbolic Semantic SLAM with a Hierarchically Categorical Gaussian Splatting

    Boying Li, Vuong Chi Hao, Peter J. Stuckey, Ian Reid, Hamid Rezatofighi · 2025

  11. GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models

    Miao Tao, Yuanzhen Zhou, Haoran Xu, Zeyu He, Zhenyu Yang, Yuchang Zhang, Zhongling Su, Linning Xu, Zhenxiang Ma, Rong Fu, Hengjie Li, Xingcheng Zhang, Jidong Zhai · 2025

  12. Notions of Stack-manipulating Computation and Relative Monads (Extended Version)

    Yuchen Jiang, Runze Xue, Max S. New · 2025

  13. Quantize What Counts: More for Keys, Less for Values

    Mohsen Hariri, Alan Luo, Weicong Chen, Shaochen Zhong, Tianyi Zhang, Qifan Wang, Xia Hu, Xiaotian Han, Vipin Chaudhary · 2025

  14. Debunking the Myth of Join Ordering: Toward Robust SQL Analytics

    Junyi Zhao, Kai Su, Yifei Yang, Xiangyao Yu, Paraschos Koutris, Huanchen Zhang · 2025

  15. Crisis, Country, and Party Lines: Politicians' Misinformation Behavior and Public Engagement

    Jingyuan Yu, Emese Domahidi, Duccio Gamannossi degl'Innocenti, Fabiana Zollo · 2025

  16. Foundational aspects of spinor structures and exotic spinors

    J. M. Hoff da Silva · 2025

  17. Sheaf theory: from deep geometry to deep learning

    Anton Ayzenberg, Thomas Gebhart, German Magai, Grigory Solomadin · 2025

  18. NPB-Rust: NAS Parallel Benchmarks in Rust

    Eduardo M. Martins, Leonardo G. Faé, Renato B. Hoffmann, Lucas S. Bianchessi, Dalvan Griebler · 2025

  19. PtrHash: Minimal Perfect Hashing at RAM Throughput

    Ragnar Groot Koerkamp · 2025

  20. Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

    Yoshua Bengio, Michael Cohen, Damiano Fornasiere, Joumana Ghosn, Pietro Greiner, Matt MacDermott, Sören Mindermann, Adam Oberman, Jesse Richardson, Oliver Richardson, Marc-Antoine Rondeau, Pierre-Luc St-Charles, David Williams-King · 2025

  21. MAML: Towards a Faster Web in Developing Regions

    Ayush Pandey, Matteo Varvello, Syed Ishtiaque Ahmed, Shurui Zhou, Lakshmi Subramanian, Yasir Zaki · 2025

  22. Balancing Content Size in RAG-Text2SQL System

    Prakhar Gurawa, Anjali Dharmik · 2025

  23. Detecting Content Rating Violations in Android Applications: A Vision-Language Approach

    D. Denipitiyage, B. Silva, S. Seneviratne, A. Seneviratne, S. Chawla · 2025

  24. TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data

    Leonardo Berti, Gjergji Kasneci · 2025

  25. Rotating black holes: The most fantastic source of energy in the universe

    Jorge Pinochet · 2025

  26. OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities

    Michael Kouremetis, Marissa Dotter, Alex Byrne, Dan Martin, Ethan Michalak, Gianpaolo Russo, Michael Threet, Guido Zarrella · 2025

  27. Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents

    Axel Backlund, Lukas Petersson · 2025

  28. Control Illusion: The Failure of Instruction Hierarchies in Large Language Models

    Yilin Geng, Haonan Li, Honglin Mu, Xudong Han, Timothy Baldwin, Omri Abend, Eduard Hovy, Lea Frermann · 2025

  29. Improving Consistency in Large Language Models through Chain of Guidance

    Harsh Raj, Vipul Gupta, Domenic Rosati, Subhabrata Majumdar · 2025

  30. Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models

    Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott Linderman, James Zou, Christopher Re · 2025

  31. Forgotten Polygons: Multimodal Large Language Models are Shape-Blind

    William Rudman, Michal Golovanevsky, Amir Bar, Vedant Palit, Yann LeCun, Carsten Eickhoff, Ritambhara Singh · 2025

  32. An SMT Formalization of Mixed-Precision Matrix Multiplication: Modeling Three Generations of Tensor Cores

    Benjamin Valpey, Xinyi Li, Sreepathi Pai, Ganesh Gopalakrishnan · 2025

  33. Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

    Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, Yiming Qiu, Zhenning Yang, Yibo Huang, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Ang Chen · 2025

  34. Visual Reasoning Evaluation of Grok, Deepseek Janus, Gemini, Qwen, Mistral, and ChatGPT

    Nidhal Jegham, Marwan Abdelatti, Abdeltawab Hendawi · 2025

  35. All That Glitters is Not Novel: Plagiarism in AI Generated Research

    Tarun Gupta, Danish Pruthi · 2025

  36. Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

    Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan, Max Tegmark, Neel Nanda · 2025

  37. Can ChatGPT Learn to Count Letters?

    Javier Conde, Gonzalo Martínez, Pedro Reviriego, Zhen Gao, Shanshan Liu, Fabrizio Lombardi · 2025

  38. Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks

    Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis · 2025

  39. Muon is Scalable for LLM Training

    Jingyuan Liu, Jianlin Su, Xingcheng Yao, Zhejun Jiang, Guokun Lai, Yulun Du, Yidao Qin, Weixin Xu, Enzhe Lu, Junjie Yan, Yanru Chen, Huabin Zheng, Yibo Liu, Shaowei Liu, Bohong Yin, Weiran He, Han Zhu, Yuzhi Wang, Jianzhou Wang, Mengnan Dong, Zheng Zhang, Yongsheng Kang, Hao Zhang, Xinran Xu, Yutao Zhang, Yuxin Wu, Xinyu Zhou, Zhilin Yang · 2025

  40. Mechanical non-reciprocity programmed by shear jamming in soft composite solids

    Chang Xu, Shuaihu Wang, Hong Wang, Xu Liu, Zemin Liu, Yiqiu Zhao, Wenqi Hu, Qin Xu · 2025

  41. LettuceDetect: A Hallucination Detection Framework for RAG Applications

    Ádám Kovács, Gábor Recski · 2025

  42. Programming Really Is Simple Mathematics

    Bertrand Meyer, Reto Weber · 2025

  43. Beyond NISQ: The Megaquop Machine

    John Preskill · 2025

  44. Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

    Jan Betley, Daniel Tan, Niels Warncke, Anna Sztyber-Betley, Xuchan Bao, Martín Soto, Nathan Labenz, Owain Evans · 2025

  45. Fractal Generative Models

    Tianhong Li, Qinyi Sun, Lijie Fan, Kaiming He · 2025

  46. Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects

    Wuyang Zhang, Yansong Li, Zeyu Dong, Yu Wu, Yingyao Zhou, Duolei Wang, Songsirou Xing, Chichun Zhou, Da Shen · 2024

  47. External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

    Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Xu, Angie Huang, Xihuan Zeng, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Zhehui Zhou, Feifan Gu, Qin Huang, Chonglin Sun, Nancy Yu, Shuo Gu, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Yujie Zha, Yi Meng, Alex Gong, Edison Gao, Jack Hsueh, Jie Zheng, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li · 2025

  48. From Euler to AI: Unifying Formulas for Mathematical Constants

    Tomer Raz, Michael Shalyt, Elyasheev Leibtag, Rotem Kalisch, Shachar Weinbaum, Yaron Hadad, Ido Kaminer · 2025

  49. On the quantum mechanics of entropic forces

    Daniel Carney, Manthos Karydas, Thilo Scharnhorst, Roshni Singh, Jacob M. Taylor · 2025

  50. How Do Large Language Monkeys Get Their Power (Laws)?

    Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo · 2025

  51. Volume estimates for unions of convex sets, and the Kakeya set conjecture in three dimensions

    Hong Wang, Joshua Zahl · 2025

  52. FastAtlas: Real-Time Compact Atlases for Texture Space Shading

    Nicholas Vining, Alexander Majercik, Floria Gu, Towaki Takikawa, Ty Trusty, Paul Lalonde, Morgan McGuire, Alla Sheffer · 2025

  53. Simulating Time With Square-Root Space

    R. Ryan Williams · 2025

  54. An Overview of Large Language Models for Statisticians

    Wenlong Ji, Weizhe Yuan, Emily Getzen, Kyunghyun Cho, Michael I. Jordan, Song Mei, Jason E Weston, Weijie J. Su, Jing Xu, Linjun Zhang · 2025

  55. Photonic Lightsails: Fast and Stable Propulsion for Interstellar Travel

    Jadon Y. Lin, C. Martijn de Sterke, Ognjen Ilic, Boris T. Kuhlmey · 2025

  56. Luttinger compensated bipolarized magnetic semiconductor

    Peng-Jie Guo, Xiao-Yao Hou, Ze-Feng Gao, Huan-Cheng Yang, Wei Ji, Zhong-Yi Lu · 2025

  57. Analytic approach to creating homogeneous fields with finite-size magnets

    Ingo Rehberg, Peter Blümler · 2025

  58. ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation

    Yifan Pu, Yiming Zhao, Zhicong Tang, Ruihong Yin, Haoxing Ye, Yuhui Yuan, Dong Chen, Jianmin Bao, Sirui Zhang, Yanbin Wang, Lin Liang, Lijuan Wang, Ji Li, Xiu Li, Zhouhui Lian, Gao Huang, Baining Guo · 2025

  59. SPECTRE: An FFT-Based Efficient Drop-In Replacement to Self-Attention for Long Contexts

    Jacob Fein-Ashley, Neelesh Gupta, Rajgopal Kannan, Viktor Prasanna · 2025

  60. Kitsune: Enabling Dataflow Execution on GPUs

    Michael Davies, Neal Crago, Karthikeyan Sankaralingam, Stephen W. Keckler · 2025

  61. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models

    Jake Poznanski, Aman Rangapur, Jon Borchardt, Jason Dunkelberger, Regan Huff, Daniel Lin, Aman Rangapur, Christopher Wilhelm, Kyle Lo, Luca Soldaini · 2025

  62. SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

    Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, Lingming Zhang, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida I. Wang · 2025

  63. Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs

    Peng Yifeng, Wu Zhizheng, Chen Chen · 2025

  64. From Staging to Insight: An Educational Path to Understanding Bell's Inequalities

    Valentina De Renzi, Matteo G. A. Paris, Maria Bondani · 2025

  65. Chain of Draft: Thinking Faster by Writing Less

    Silei Xu, Wenhao Xie, Lingxiao Zhao, Pengcheng He · 2025

  66. Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

    Kevin Pu, Daniel Lazaro, Ian Arawjo, Haijun Xia, Ziang Xiao, Tovi Grossman, Yan Chen · 2025

  67. Symmetries of Living Systems: Symmetry Fibrations and Synchronization in Biological Networks

    Hernan A. Makse, Paolo Boldi, Francesco Sorrentino, Ian Stewart · 2025

  68. Safe and usable kernel extensions with Rex

    Jinghao Jia, Ruowen Qin, Milo Craun, Egor Lukiyanov, Ayush Bansal, Michael V. Le, Hubertus Franke, Hani Jamjoom, Tianyin Xu, Dan Williams · 2025

  69. Evaluating Intelligence via Trial and Error

    Jingtao Zhan, Jiahao Zhao, Jiayu Li, Yiqun Liu, Bo Zhang, Qingyao Ai, Jiaxin Mao, Hongning Wang, Min Zhang, Shaoping Ma · 2025

  70. Accelerating scientific discovery with Co-Scientist

    Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, Tao Tu, Petar Sirkovic, Artiom Myaskovsky, Grzegorz Glowaty, Felix Weissenberger, Alessio Orlandi, Dan Popovici, Anil Palepu, Keran Rong, Ryutaro Tanno, Khaled Saab, Fan Zhang, Jacob Blum, Andrew Carroll, Kavita Kulkarni, Nenad Tomasev, Dina Zverinski, Ivor Rendulic, Elahe Vedadi, Florian Hasler, Luka Rimanic, Marina Boia, Ivan Budiselic, Ben Feinstein, Mathias Bellaiche, Tom Sheffer, Jan Freyberg, Jeremy Ratcliff, Ottavia Bertolli, Katherine Chou, Avinatan Hassidim, Burak Gokturk, Amin Vahdat, Yuan Guan, Vikram Dhillon, Eeshit Dhaval Vaishnav, Byron Lee, Tiago R D Costa, José R Penadés, Gary Peltz, Yossi Matias, James Manyika, Demis Hassabis, Yunhan Xu, Pushmeet Kohli, Annalisa Pawlosky, Alan Karthikesalingam, Vivek Natarajan · 2025

  71. (Mis)Fitting: A Survey of Scaling Laws

    Margaret Li, Sneha Kudugunta, Luke Zettlemoyer · 2025

  72. BIG-Bench Extra Hard

    Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat · 2025

  73. General Intelligence Requires Reward-based Pretraining

    Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal · 2025

  74. Andromeda XXXV: The Faintest Dwarf Satellite of the Andromeda Galaxy

    Jose Marco Arias, Eric F. Bell, Katya Gozman, In Sung Jang, Saxon Stockton, Oleg Y. Gnedin, Richard D'Souza, Antonela Monachesi, Jeremy Bailin, David Nidever, Roelof S. de Jong · 2025

  75. Comment on "InAs-Al hybrid devices passing the topological gap protocol", Microsoft Quantum, Phys. Rev. B 107, 245423 (2023)

    Henry F. Legg · 2025

  76. NeoBERT: A Next-Generation BERT

    Lola Le Breton, Quentin Fournier, Mariam El Mezouar, John X. Morris, Sarath Chandar · 2025

  77. Introduction to Sequence Modeling with Transformers

    Joni-Kristian Kämäräinen · 2025

  78. Mixtera: A Data Plane for Foundation Model Training

    Maximilian Böther, Xiaozhe Yao, Tolga Kerimoglu, Dan Graur, Viktor Gsteiger, Ana Klimovic · 2025

  79. Implicit Search via Discrete Diffusion: A Study on Chess

    Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong · 2025

  80. Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation

    Qianxi He, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu · 2025

  81. Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models

    Yuan Sui, Yufei He, Tri Cao, Simeng Han, Yulin Chen, Bryan Hooi · 2025

  82. Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies

    Jincheng Wang, Le Yu, John C. S. Lui, Xiapu Luo · 2025

  83. PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation

    Albert Gong, Kamilė Stankevičiūtė, Chao Wan, Anmol Kabra, Raphael Thesmar, Johann Lee, Julius Klenke, Carla P. Gomes, Kilian Q. Weinberger · 2025

  84. Why Are Web AI Agents More Vulnerable Than Standalone LLMs? A Security Analysis

    Jeffrey Yang Fan Chiang, Seungjae Lee, Jia-Bin Huang, Furong Huang, Yizheng Chen · 2025

  85. Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

    Siddhant Haldar, Lerrel Pinto · 2025

  86. Personal Narratives Empower Politically Disinclined Individuals to Engage in Political Discussions

    Tejasvi Chebrolu, Ponnurangam Kumaraguru, Ashwin Rajadesingan · 2025

  87. Building a Theory of Distributed Systems: Work by Nancy Lynch and Collaborators

    Nancy Lynch · 2025

  88. Shades of Zero: Distinguishing Impossibility from Inconceivability

    Jennifer Hu, Felix Sosa, Tomer Ullman · 2025

  89. EgoNormia: Benchmarking Physical Social Norm Understanding

    MohammadHossein Rezaei, Yicheng Fu, Phil Cuvin, Caleb Ziems, Yanzhe Zhang, Hao Zhu, Diyi Yang · 2025

  90. Automated Profile-Guided Replacement of Data Structures to Reduce Memory Allocation

    Lukas Makor, Sebastian Kloibhofer, Peter Hofer, David Leopoldseder, Hanspeter Mössenböck · 2025

  91. Meta-compilation of Baseline JIT Compilers with Druid

    Nahuel Palumbo, Guillermo Polito, Stéphane Ducasse, Pablo Tesone · 2025

  92. An Attempt to Catch Up with JIT Compilers: The False Lead of Optimizing Inline Caches

    Aurore Poirier, Erven Rohou, Manuel Serrano · 2025

  93. Training LLMs with MXFP4

    Albert Tseng, Tao Yu, Youngsuk Park · 2025

  94. Fixed point theorem in metric spaces and its application to the Collatz conjecture

    Toshiharu Kawasaki · 2025

  95. Towards Practical Real-Time Neural Video Compression

    Zhaoyang Jia, Bin Li, Jiahao Li, Wenxuan Xie, Linfeng Qi, Houqiang Li, Yan Lu · 2025

  96. Beyond Words: A Latent Memory Approach to Internal Reasoning in LLMs

    José I. Orlicki · 2025

  97. Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought

    Jianhao Huang, Zixuan Wang, Jason D. Lee · 2025

  98. Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks

    Yanran Chen, Steffen Eger · 2025

  99. Elastic Restaking Networks

    Roi Bar-Zur, Ittay Eyal · 2025

  100. Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving

    Qihui Zhou, Peiqi Yin, Pengfei Zuo, James Cheng · 2025