HackerPapers

All paper pages

28734 retained paper pages. Page 257 of 288.

  1. Scientific production in the era of Large Language Models

    Keigo Kusumegi, Xinyu Yang, Paul Ginsparg, Mathijs de Vaan, Toby Stuart, Yian Yin · 2026

  2. Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship

    Patrick Yung Kang Lee, Jessica Y. Bo, Zixin Zhao, Paula Akemi Aoyagui, Matthew Varona, Ashton Anderson, Anastasia Kuzminykh, Fanny Chevalier, Carolina Nobre · 2026

  3. The ESA Meerkat Asteroid Guard: a monitoring service for imminent impactors

    Charlie Drury, Francesco Gianotto, Marco Fenucci, Laura Faggioli, Michael Frühauf, Juan Luis Cano, Marco Micheli, Francisco Ocaña, Dario Oliviero, Luca Conversi, Richard Moissl, Detlef Koschny · 2026

  4. The AI Genie Phenomenon and Three Types of AI Chatbot Addiction: Escapist Roleplays, Pseudosocial Companions, and Epistemic Rabbit Holes

    M. Karen Shen, Jessica Huang, Olivia Liang, Ig-Jae Kim, Dongwook Yoon · 2026

  5. Driving Computational Efficiency in Large-Scale Platforms using HPC Technologies

    Alexander Martinez Mendez, Antonio J. Rubio-Montero, Carlos J. Barrios H., Hernán Asorey, Rafael Mayo-García, Luis A. Núñez · 2026

  6. Scaling Two-Dimensional Semiconductor Nanoribbons for High-Performance Electronics

    Hao-Yu Lan, Shao-Heng Yang, Yongjae Cho, Yuanqiu Tan, Jun Cai, Zheng Sun, Chenyang Li, Lin-Yun Huang, Yi Wan, Lain-Jong Li, Thomas Beechem, Joerg Appenzeller, Zhihong Chen · 2026

  7. Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics

    Junqi Liu, Zihao Zhou, Zekai Zhu, Marco Dos Santos, Weikun He, Jiawei Liu, Ran Wang, Yunzhou Xie, Junqiao Zhao, Qiufeng Wang, Lihong Zhi, Jia Li, Wenda Li · 2026

  8. Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance

    Qianli Ma, Chang Guo, Zhiheng Tian, Siyu Wang, Jipeng Xiao, Yuanhao Yue, Zhipeng Zhang · 2026

  9. APEX-Agents

    Bertie Vidgen, Austin Mann, Abby Fennelly, John Wright Stanly, Lucas Rothman, Marco Burstein, Julien Benchek, David Ostrofsky, Anirudh Ravichandran, Debnil Sur, Neel Venugopal, Alannah Hsia, Isaac Robinson, Calix Huang, Olivia Varones, Daniyal Khan, Michael Haines, Austin Bridges, Jesse Boyle, Koby Twist, Zach Richards, Chirag Mahapatra, Brendan Foody, Osvald Nitski · 2026

  10. End-to-End Transformer Acceleration Through Processing-in-Memory Architectures

    Xiaoxuan Yang, Peilin Chen, Tergel Molom-Ochir, Yiran Chen · 2025

  11. Psychometric Comparability of LLM-Based Digital Twins

    Yufei Zhang, Zhihao Ma · 2025

  12. Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct

    Uygar Kurt · 2026

  13. Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents

    Xiucheng Xu, Bingbing Xu, Xueyun Tian, Zihe Huang, Rongxin Chen, Yunfan Li, Huawei Shen · 2026

  14. Turn-Based Structural Triggers: Structure-Conditioned Backdoors in Multi-Turn LLMs

    Yiyang Lu, Jinwen He, Yue Zhao, Kai Chen, Ruigang Liang, Cheng Hong, Yingjun Zhang · 2026

  15. If You Want Coherence, Orchestrate a Team of Rivals: Multi-Agent Models of Organizational Intelligence

    Gopal Vijayaraghavan, Prasanth Jayachandran, Arun Murthy, Sunil Govindan, Vivek Subramanian · 2026

  16. The Little Red Dots Are Direct Collapse Black Holes

    Fabio Pacucci, Andrea Ferrara, Dale D. Kocevski · 2026

  17. CMind: An AI Agent for Localizing C Memory Bugs

    Chia-Yi Su, Collin McMillan · 2026

  18. Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering

    Mohamad Salim, Jasmine Latendresse, SayedHassan Khatoonabadi, Emad Shihab · 2026

  19. Towards Execution-Grounded Automated AI Research

    Chenglei Si, Zitong Yang, Yejin Choi, Emmanuel Candès, Diyi Yang, Tatsunori Hashimoto · 2026

  20. Game-Theoretic Lens on LLM-based Multi-Agent Systems

    Jianing Hao, Han Ding, Yuanjian Xu, Tianze Sun, Ran Chen, Wanbo Zhang, Guang Zhang, Siguang Li · 2026

  21. The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

    Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, Yeguo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang · 2026

  22. Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub

    Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, Preetha Chatterjee · 2026

  23. Tracing the Galactic Disk with Gaia DR3: A Deep Study of Berkeley 17, 18, and 39 Open Star Clusters

    A. Ahmed, W. H. Elsanhoury, D. C. Çınar, S. Taşdemir, R. Canbay, A. A. Haroon, M. S. Alenazi · 2026

  24. Can We Trust LLM Detectors?

    Jivnesh Sandhan, Harshit Jaiswal, Fei Cheng, Yugo Murawaki · 2026

  25. Replayable Financial Agents: A Determinism-Faithfulness Assurance Harness for Tool-Using LLM Agents

    Raffi Khatchadourian · 2026

  26. Rules Create Unequal Rewards: Elite Tennis Players Allocate Resources Efficiently

    Masatsugu Yoshizawa, Yuta Kawamoto, Daisuke Takeshita · 2026

  27. Language Models Entangle Language and Culture

    Shourya Jain, Paras Chopra · 2026

  28. Chunking, Retrieval, and Re-ranking: An Empirical Evaluation of RAG Architectures for Policy Document Question Answering

    Anuj Maharjan, Umesh Yadav · 2026

  29. Panther: Faster and Cheaper Computations with Randomized Numerical Linear Algebra

    Fahd Seddik, Abdulrahman Elbedewy, Gaser Sami, Mohamed Abdelmoniem, Yahia Zakaria · 2026

  30. An LLM-Agnostic, MAVLink-Based Drone Command and Control Interface and Agentic Harness Using the Model Context Protocol

    Javier Noé Ramos Silva, Peter J. Burke · 2026

  31. MiRAGE: A Multiagent Framework for Generating Multimodal Multihop Question-Answer Dataset for RAG Evaluation

    Chandan Kumar Sahu, Premith Kumar Chilukuri, Matthew Hetrich · 2026

  32. Vibe Coding Kills Open Source

    Miklós Koren, Gábor Békés, Julian Hinz, Aaron Lohmann · 2026

  33. Global regularity for the Navier-Stokes equations with application to global solvability for the Euler equations

    Myong-Hwan Ri · 2026

  34. Even GPT-5.2 Can't Count to Five: The Case for Zero-Error Horizons in Trustworthy LLMs

    Ryoma Sato · 2026

  35. Neural Particle Automata: Learning Self-Organizing Particle Dynamics

    Hyunsoo Kim, Ehsan Pajouheshgar, Sabine Süsstrunk, Wenzel Jakob, Jinah Park · 2026

  36. Learning to Discover at Test Time

    Mert Yuksekgonul, Daniel Koceja, Xinhao Li, Federico Bianchi, Jed McCaleb, Xiaolong Wang, Jan Kautz, Yejin Choi, James Zou, Carlos Guestrin, Yu Sun · 2026

  37. GR3EN: Generative Relighting for 3D Environments

    Xiaoyan Xing, Philipp Henzler, Junhwa Hur, Runze Li, Jonathan T. Barron, Pratul P. Srinivasan, Dor Verbin · 2026

  38. Local limit theorems for random isometries of the plane

    Reuben Drogin, Felipe Hernández · 2026

  39. Identity, Cooperation and Framing Effects within Groups of Real and Simulated Humans

    Suhong Moon, Minwoo Kang, Joseph Suh, Mustafa Safdari, John Canny · 2026

  40. AlphaFace: High Fidelity and Real-time Face Swapper Robust to Facial Pose

    Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Angelica I Aviles-Rivero, Moongu Jeon, Jinhong Yang · 2026

  41. Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go

    Yichuan Ma, Linyang Li, Yongkang Chen, Peiji Li, Jiasheng Ye, Qipeng Guo, Dahua Lin, Kai Chen · 2026

  42. The Green Side of the Lua

    André Brandão, Diogo Matos, Miguel Guimarães, Simão Cunha, João Saraiva · 2026

  43. Mixture-of-Models: Distributed Inference over Heterogeneous LLMs as Model-Level Mixture-of-Experts

    Tims Pecerskis, Aivars Smirnovs · 2026

  44. Post-Perihelion Integral Field Spectroscopy of the Interstellar Comet 3I/ATLAS

    Willem B. Hoogendam, David O. Jones, Bin Yang, Benjamin J. Shappee, James J. Wray, Karen J. Meech, Christopher Ashall, Dhvanil D. Desai, Jason T. Hinkle, Andrew M. Hoffman, Kyle Medler, Cameron Pfeffer, Ruining Zhao · 2026

  45. MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning

    Xuchen Li, Jing Chen, Xuzhao Li, Hao Liang, Xiaohuan Zhou, Taifeng Wang, Wentao Zhang · 2026

  46. Context Lake: A System Class Defined by Decision Coherence

    Xiaowei Jiang · 2026

  47. High-Rate Quantized Matrix Multiplication I

    Or Ordentlich, Yury Polyanskiy · 2026

  48. Implementing Tensor Logic: Unifying Datalog and Neural Reasoning via Tensor Contraction

    Swapn Shah, Wlodek Zadrozny · 2026

  49. An ultra-high-resolution map of (dark) matter

    Diana Scognamiglio, Gavin Leroy, David Harvey, Richard Massey, Jason Rhodes, Hollis B. Akins, Malte Brinch, Edward Berman, Caitlin M. Casey, Nicole E. Drakos, Andreas L. Faisst, Maximilien Franco, Leo W. H. Fung, Ghassem Gozaliasl, Qiuhan He, Hossein Hatamnia, Eric Huff, Natalie B. Hogg, Olivier Ilbert, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Shouwen Jin, Erini Lambrides, Alexie Leauthaud, Zane D. Lentz, Daizhong Liu, Guillaume Mahler, Claudia Maraston, Crystal L. Martin, Jacqueline McCleary, James Nightingale, Bahram Mobasher, Louise Paquereau, Sandrine Pires, Brant E. Robertson, David B. Sanders, Claudia Scarlata, Marko Shuntov, Greta Toni, Maximilian von Wietersheim-Kramsta, John R. Weaver · 2026

  50. On the Insecurity of Keystroke-Based AI Authorship Detection: Timing-Forgery Attacks Against Motor-Signal Verification

    David Condrey · 2026

  51. The 17% Gap: Quantifying Epistemic Decay in AI-Assisted Survey Papers

    H. Kemal İlter · 2026

  52. Less is More for RAG: Information Gain Pruning for Generator-Aligned Reranking and Evidence Selection

    Zhipeng Song, Yizhi Zhou, Xiangyu Kong, Jiulong Jiao, Xinrui Bao, Xu You, Xueqing Shi, Yuhang Zhou, Heng Qi · 2026

  53. Will It Zero-Shot?: Predicting Zero-Shot Classification Performance For Arbitrary Queries

    Kevin Robbins, Xiaotong Liu, Yu Wu, Le Sun, Grady McPeak, Abby Stylianou, Robert Pless · 2026

  54. How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests

    Daniel Ogenrwot, John Businge · 2026

  55. An MLIR Lowering Pipeline for Stencils at Wafer-Scale

    Nicolai Stawinoga, David Katz, Anton Lydike, Justs Zarins, Nick Brown, George Bisbas, Tobias Grosser · 2026

  56. Masked Depth Modeling for Spatial Perception

    Bin Tan, Changjiang Sun, Xiage Qin, Hanat Adai, Zelin Fu, Tianxiang Zhou, Han Zhang, Yinghao Xu, Xing Zhu, Yujun Shen, Nan Xue · 2026

  57. "I Use ChatGPT to Humanize My Words": Affordances and Risks of ChatGPT to Autistic Users

    Renkai Ma, Ben Zefeng Zhang, Chen Chen, Fan Yang, Xiaoshan Huang, Haolun Wu, Lingyao Li · 2026

  58. LatentMoE: Toward Optimal Accuracy per FLOP and Parameter in Mixture of Experts

    Venmugil Elango, Nidhi Bhatia, Roger Waleffe, Rasoul Shafipour, Tomer Asida, Abhinav Khattar, Nave Assaf, Maximilian Golub, Joey Guman, Tiyasa Mitra, Ritchie Zhao, Ritika Borkar, Ran Zilberstein, Mostofa Patwary, Mohammad Shoeybi, Bita Rouhani · 2026

  59. BEAR: Budgeted Evidence Allocation for Multi-Document Reasoning

    Lin Sun, Linglin Zhang, Jingang Huang, Change Jia, Zhengwei Cheng, Xiangzheng Zhang · 2026

  60. RTeAAL Sim: Using Tensor Algebra to Represent and Accelerate RTL Simulation (Extended Version)

    Yan Zhu, Boru Chen, Christopher W. Fletcher, Nandeeka Nayak · 2026

  61. Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Books

    Tuhin Chakrabarty, Paramveer S. Dhillon · 2026

  62. A Pragmatic VLA Foundation Model

    Wei Wu, Fan Lu, Yunnan Wang, Shuai Yang, Shi Liu, Fangjing Wang, Qian Zhu, He Sun, Yong Wang, Shuailei Ma, Yiyu Ren, Kejia Zhang, Hui Yu, Jingmei Zhao, Shuai Zhou, Zhenqi Qiu, Houlong Xiong, Ziyu Wang, Zechen Wang, Ran Cheng, Yong-Lu Li, Yongtao Huang, Xing Zhu, Yujun Shen, Kecheng Zheng · 2026

  63. Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

    Siyan Zhao, Zhihui Xie, Mengchen Liu, Jing Huang, Guan Pang, Feiyu Chen, Aditya Grover · 2026

  64. Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

    Shobhita Sundaram, John Quan, Ariel Kwiatkowski, Kartik Ahuja, Yann Ollivier, Julia Kempe · 2026

  65. CanaryBench: Stress Testing Privacy Leakage in Cluster-Level Conversation Summaries

    Deep Mehta · 2026

  66. Probabilities

    Jean-Yves Ouvrard, Xavier Ouvrard · 2026

  67. Who's in Charge? Disempowerment Patterns in Real-World LLM Usage

    Mrinank Sharma, Miles McCain, Raymond Douglas, David Duvenaud · 2026

  68. TIRx: A Unified Tile Primitive ML Compiler Across Heterogeneous Backends

    Bohan Hou, Hongyi Jin, Guanjie Wang, Shushi Hong, Jinqi Chen, Yaxing Cai, Lijie Yang, Zihao Ye, Yaoyao Ding, Ruihang Lai, Todd Mowry, Tianqi Chen · 2026

  69. TinyTorch: Building Machine Learning Systems from First Principles

    Vijay Janapa Reddi · 2026

  70. AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection

    Wachiraphan Charoenwet, Kla Tantithamthavorn, Patanamon Thongtanunam, Hong Yi Lin, Minwoo Jeong, Ming Wu · 2026

  71. Reuse of Public Keys Across UTXO and Account-Based Cryptocurrencies

    Rainer Stütz, Nicholas Stifter, Melitta Dragaschnig, Bernhard Haslhofer, Aljosha Judmayer · 2026

  72. ProToken: Token-Level Attribution for Federated Large Language Models

    Waris Gill, Ahmad Humayun, Ali Anwar, Muhammad Ali Gulzar · 2026

  73. GAVEL: Towards Rule-Based Safety Through Activation Monitoring

    Shir Rozenfeld, Rahul Pankajakshan, Itay Zloczower, Eyal Lenga, Gilad Gressel, Yisroel Mirsky · 2026

  74. Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models

    Jialong Wu, Xiaoying Zhang, Hongyi Yuan, Xiangcheng Zhang, Tianhao Huang, Changjing He, Chaoyi Deng, Renrui Zhang, Youbin Wu, Mingsheng Long · 2026

  75. Self-Distillation Enables Continual Learning

    Idan Shenfeld, Mehul Damani, Jonas Hübotter, Pulkit Agrawal · 2026

  76. DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs

    Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu · 2025

  77. Achieving Productivity Gains with AI-based IDE features: A Journey at Google

    Maxim Tabachnyk, Xu Shu, Alexander Frömmgen, Pavel Sychev, Vahid Meimand, Ilia Krets, Stanislav Pyatykh, Abner Araujo, Kristóf Molnár, Satish Chandra · 2026

  78. Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers

    Jinlin Liu, Wei Chen, Xiaojin Zhang · 2026

  79. VERGE: Formal Refinement and Guidance Engine for Verifiable LLM Reasoning

    Vikash Singh, Darion Cassel, Nathaniel Weir, Nick Feng, Sam Bayless · 2026

  80. Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery

    Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao · 2026

  81. Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis

    Darshan Deshpande, Anand Kannappan, Rebecca Qian · 2026

  82. How AI Impacts Skill Formation

    Judy Hanwen Shen, Alex Tamkin · 2026

  83. Syncopate: Efficient Multi-GPU AI Kernels via Automatic Chunk-Centric Compute-Communication Overlap

    Xinwei Qiang, Yue Guan, Zhengding Hu, Keren Zhou, Yufei Ding, Adnan Aziz · 2026

  84. Reinforcement Learning via Self-Distillation

    Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause · 2026

  85. Linear representations in language models can change dramatically over a conversation

    Andrew Kyle Lampinen, Yuxuan Li, Eghbal Hosseini, Sangnie Bhardwaj, Murray Shanahan · 2026

  86. Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve

    Hongzheng Chen, Alexander Novikov, Ngân Vũ, Hanna Alam, Zhiru Zhang, Aiden Grossman, Mircea Trofin, Amir Yazdanbakhsh · 2026

  87. Scaling Embeddings Outperforms Scaling Experts in Language Models

    Hong Liu, Jiaqi Zhang, Chao Wang, Xing Hu, Linkun Lyu, Jiaqi Sun, Xurui Yang, Bo Wang, Fengcun Li, Yulei Qian, Lingtong Si, Yerui Sun, Rumei Li, Peng Pei, Yuchen Xie, Xunliang Cai · 2026

  88. Qwen3-ASR Technical Report

    Xian Shi, Xiong Wang, Zhifang Guo, Yongqi Wang, Pei Zhang, Xinyu Zhang, Zishan Guo, Hongkun Hao, Yu Xi, Baosong Yang, Jin Xu, Jingren Zhou, Junyang Lin · 2026

  89. Irrationality of rapidly converging series: a problem of Erdős and Graham

    Kevin Barreto, Jiwon Kang, Sang-hyun Kim, Vjekoslav Kovač, Shengtong Zhang · 2026

  90. Shaping capabilities with token-level data filtering

    Neil Rathi, Alec Radford · 2026

  91. Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

    Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer, Haitham Bou Ammar · 2026

  92. Optimal Software Pipelining using an SMT-Solver

    Jan-Willem Roorda · 2026

  93. From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction

    Upol Ehsan, Samir Passi, Koustuv Saha, Todd McNutt, Mark O. Riedl, Sara Alcorn · 2026

  94. Critical Evaluation of Studies Alleging Evidence for Technosignatures in the POSS1-E Photographic Plates

    Wesley Andrés Watters, Laura Dominé, Sarah Little, Cameron Pratt, Kevin H. Knuth, Matthew Szenher · 2026

  95. Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

    Jianhui Chen, Yuzhang Luo, Liangming Pan · 2026

  96. Causal World Modeling for Robot Control

    Lin Li, Qihang Zhang, Yiming Luo, Shuai Yang, Ruilin Wang, Fei Han, Mingrui Yu, Zelin Gao, Nan Xue, Xing Zhu, Yujun Shen, Yinghao Xu · 2026

  97. One-step Latent-free Image Generation with Pixel Mean Flows

    Yiyang Lu, Susie Lu, Qiao Sun, Hanhong Zhao, Zhicheng Jiang, Xianbang Wang, Tianhong Li, Zhengyang Geng, Kaiming He · 2026

  98. In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement

    Anudeex Shetty, Aditya Joshi, Salil S. Kanhere · 2026

  99. Linux Kernel Recency Matters, CVE Severity Doesn't, and History Fades

    Piotr Przymus, Witold Weiner, Krzysztof Rykaczewski, Gunnar Kudrjavets · 2026

  100. Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

    Bruce Stephenson, Robin Macomber · 2026