HackerPapers

All paper pages

28734 retained paper pages. Page 280 of 288.

  1. HOMARD: Hammering Off-chip Memory via Aggregate power Rail Disclosure

    Eliott Quéré, Li-Chung Chiang, Carina Fiedler, Thomas Rokicki, Maria Méndez Real, Alessandro Palumbo, Lilian Bossuet, Rubén Salvador, Daniel Gruss · 2026

  2. Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices

    Jianhua Li, Yun Xing, Girisha De Silva, Ryan Flint, Kai Yuan, Sean Suchter · 2026

  3. Oído: Open-Vocabulary Speech Recognition on a $5 Microcontroller without a Neural Accelerator

    Daniel Varela Sánchez, Guillermo Martín-Coello Juárez · 2026

  4. Agentic Large Language Models

    Max van Duijn, Michiel van der Meer, Aske Plaat, Niki van Stein · 2026

  5. (When) Should a Software Factory be Lights-off? Benchmarking Code Review Agents on Bug Detection

    Chenyang Yang, Hao He, Ti-Chung Cheng, Jenna Butler, Emerson Murphy-Hill, Carmen Badea, Christian Bird · 2026

  6. Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing

    Oktie Hassanzadeh, Dharmashankar Subramanian · 2026

  7. RSI-Anything: Unlocking Recursive Self-Improvement with World Models

    Taoyong Cui, Pinxian Zeng, Wanghan Xu, Hao Xiao, Shuhan Xue, Qiang Gao, Wanli Ouyang, Pheng Ann Heng, Zhenfei Yin, Yingcheng Wu, Ling Yang · 2026

  8. Designing Protein Structures from Natural Language

    Joseph Lee, Yanjing Li, Bo Qiang, Gregory Lau, Allyson Ettinger, Noah A. Smith, Rory Donovan-Maiye, David Baker, Hanna Hajishirzi, Pang Wei Koh · 2026

  9. AI Models Can Provably Hide Arbitrary Capabilities

    Andis Draguns, Sumeet Ramesh Motwani, Raymond Douglas, Christian Schroeder de Witt · 2026

  10. Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation

    Hermann Kumbong, Ishan S. Khare, Iddah Mlauzi, Andrew Woen, Charles Ding, E. Kelly Buchanan, Simran Arora, Azalia Mirhoseini, Christopher Ré · 2026

  11. Harness^2: Recursive Agent Harnessing for an Open World

    Ruiyao Xu, Yanfei Chen, Zhongying CuiZhu, Bhavana Dalvi Mishra, Yifei Ming, Han Yu, Rujun Han, Chen-Yu Lee, Tomas Pfister · 2026

  12. The Thinking Leakage in Reinforcement Learning for LLMs

    Wenxuan Zhu, Shuming Liu, Bang An, Aznaur Aliev, Bing Li, Yibo Yang, Bernard Ghanem · 2026

  13. A Self-Defining Operator for Distributed Applications

    Shihang Li, Thomas Anderson, Ratul Mahajan, Simon Peter, Luke Zettlemoyer · 2026

  14. AnyRank: Reliable Anytime Policy Ranking via Sequential Testing

    Apurva Badithela, David Snyder, Tenny Yin, Jade Sceats, George Pappas, Nikolai Matni, Masha Itkina, Haruki Nishimura, Anirudha Majumdar · 2026

  15. What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)

    Mahe Chen, Nick Koudas · 2026

  16. LeHami: Symplectic Latent Dynamics for World Models

    Romina Yalovetzky, Randall Balestriero, Yann LeCun · 2026

  17. A New Lens on Multi-GPU Communication: API-Level Memory Models for Portable Optimization

    Johnathan Alsop, Bradford Beckmann, Brandon Potter, Jiakun Yan, Aurelien Bouteiller, Omri Mor, Tony Tye, Sameer Sahasrabuddhe · 2026

  18. AI Discovery in Combinatorics: From Problems to Solutions and Back to Bigger Problems

    Eugenio Cainelli, Lorenzo Luccioli, Alessandro Iraci, Giovanni Paolini · 2026

  19. TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving

    A. Ramesh Chandra, Aaghaz Mahajan, Ainesh Sanyal, Mianqi Wang, Shubhadeep Chakraborty, Sudip Chakraborty, Shailesh Chandrasekharan, Rama Govindarajan, Akshit Goyal, Jonathan J. Heckman, Yasir Iqbal, Divya Jaganathan, Saumav Kapoor, Andreas Karch, Pushkar Khandare, Sandeep Krishna, Anupam Kundu, Alok Laddha, Tongyan Lin, Swarnendu Maity, Nilmani Mathur, Shani Nadir Meynet, Alessandro Mininno, Abhijeet Mishra, Vidur Niranjan, Abhishodh Prakash, Pratik Rath, Durbar Roy, Debargha Sarkar, Srikanth Sastry, Gary Shiu, Aninda Sinha, Thomas Van Riet, Praneeth Netrapalli, Suvrat Raju · 2026

  20. Gradient Routing Localizes and Removes Unintended Behaviors in RL

    Jake Ward, Shawn Hu, Aria Wong, Nathan Hu, Bryce Woodworth, Alexander Matt Turner, Alex Cloud · 2026

  21. What the Machine Invented: Mining New Mathematical Instruments from OpenAI's October 2026 Release of AI-Generated Mathematics

    Ying Xie · 2026

  22. DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck

    Shubham Agarwal, Akshat Gupta, Mike Heddes, Dilara Soylu, Rui Meng, Patrick Tser Jern Kon, Jiefeng Chen, Mert Cemri, Shu Liu, Abe Gonzalez, Akanksha Jain, Bhavana Dalvi Mishra, Linfeng Song, Vilobh Meshram, Xiangru Tang, Jinsung Yoon, Aditya Parameswaran, Ion Stoica, Vahab Mirrokni, Burak Gokturk, Parthasarathy Ranganathan, Tomas Pfister, Nanyun Peng, Chun-Liang Li · 2026

  23. Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for Lean

    Tomas Ortega, Simon Park, Ayush Khaitan, Liam Fowl, Alex Kontorovich, Sanjeev Arora · 2026

  24. Large Language Models Extend Known Research But Do Not Create New Research Directions

    Zhihua Liu, Kurt Butler, Damian Machlanski, Danilo Bueno, Sotirios A. Tsaftaris · 2026

  25. LeanPRM: Lean-Grounded Process Supervision for Natural Language Proof Verification

    Rodney Lafuente-Mercado, Salman Rahman, Jingyan Shen, James Shiffer, Saadia Gabriel, Pavel Izmailov · 2026

  26. Lost in Implicit Routing: How LLM Agents Fail to Load Relevant Skills at Scale

    Jinlin Liu, Wei Chen, Xiaojin Zhang · 2026

  27. Rethinking Projector Training in Multimodal LLMs

    Fabian Gröger, Naël Ouerghemi, Shuo Wen, Maria Brbić · 2026

  28. Does self-distillation improve reasoning?

    Jason Ken Adhinarta, Raina Wu, Ashutosh Sharma, Avinash Balakrishnan, Rameswar Panda, Polina Golland, Yoon Kim, Zhang-Wei Hong · 2026

  29. Does Pretraining Teach Chemical Language Models Chemistry?

    Leif Sieben, Yoel Zimmermann · 2026

  30. Jeva: System One Models from First Principles

    Qi Li, Xinchao Wang · 2026

  31. Self-Evolving Agent Harness

    Chuyang Wei, Haoxiang Guan, Minghang Zhu, Kexin Zhou, Jiyan He, Xiren Zhou, Huanhuan Chen, Yifei Shen · 2026

  32. Hybrid Reasoning Agents

    Jiaru Zou, Yunzhe Qi, Sirui Chen, Federico Bianchi, Shang Zhu, Pan Lu, Jingrui He, James Zou · 2026

  33. CyberArena: Benchmarking AI Agents in Live Symmetric Attack-and-Defense Combat

    Bangya Liu, Jianhong Tu, Yueyang Pan, Hanhong Zhao, Zhe Ye, Hongwei Li, Saastha Vasan, Katherine Lambert, Junmin Zhu, Hao Wang, Jienan Chen, Yunze Xiao, Minglai Yang, Zihan Wang, Hairong Yin, Hao Wang, Zhiwen Fan, Tianneng Shi, Zhun Wang, Wenbo Guo, Chenguang Wang, Dawn Song · 2026

  34. Into the Unknown: Benchmarking AI agents on open scientific research problems

    Seungone Kim, Jiayi Geng, Young-Jun Lee, Bo Liu, Juyoung Suk, Nicholas Lubbers, Mitchell Wood, Marcus Noack, Yong-Xin Yao, Yuan Shi, Roxana Bujack, Cristina Garcia Cardona, Austin Rodriguez, Ilon Joseph, Woojin Cho, Zora Zhiruo Wang, Chuanyang Jin, Ian Wu, Apurva Gandhi, Tianjian Li, Weiwei Sun, Carolin Lawrence, Kiril Gashteovski, Dongyeop Kang, Jay Shin, Akari Asai, Graham Neubig, Sean Welleck · 2026

  35. With Leverage, the Gambler is Not the One Who Gets Ruined

    William Kuszmaul · 2026

  36. Copy-Paste Language Models

    Nathan Godey, Yoav Artzi · 2026

  37. Beyond Maliciousness: Static and Runtime Attack-Surface Profiling of Agent Skills

    Ratnesh Pandey, Japneet Singh, Harsh Akshit, Sonali Tyagi, Cassie Crossley · 2026

  38. What You Sign Is Not What You Run: The Verifiability Gap in Quantized LLM Supply Chains

    Wei-Liang Liu, Cheng-Yen Tsai · 2026

  39. Understanding NVIDIA Grace-Blackwell Unified Memory Through Placement-Controlled Microbenchmarks

    Nathan Graddon, Aaron Jarmusch, Sunita Chandrasekaran · 2026

  40. From Training to Escalation: Forensic Analysis and Local Recreation of RL/RLHF-Induced Privilege Escalation in AI Agents (CVE-2026-65616)

    Alicia Colmenero-Fernández · 2026

  41. Scaling Discovery Requires Forgetting

    Shangyin Tan, Ben Zhou, Lakshya A Agrawal, Jialin Zhang, Yilin Chen, Qiuyang Mang, Donghyun Lee, Dennis Jacob, Koushik Sen, Alex Dimakis, Matei Zaharia · 2026

  42. Schrödinger's unpublished hidden-variable model in the 1944-45 debate over the "Collapse of Determinism"

    Flavio Del Santo · 2026

  43. A simpler proof that there are no Landau--Siegel zeros

    Bryce Kerr · 2026

  44. Memorilla: Latent Semantic Memory for LLMs

    Adibvafa Fallahpour, Parsa Idehpour, Vignesh Kothapalli, Nikita Mounier, Shirley Wu, Shayan Pardis, Jure Leskovec · 2026

  45. When the KV Cache Is Slower Than the GPU: Scaling Remote KV Tiers for Context-Parallel Prefill

    Muhammad Ibrahim · 2026

  46. How language model agents reshape price competition

    Martin Bichler, Philip Hierhager, Kassian Köck, Fabian Pieroth · 2026

  47. Are You Sure Your LLM Is Sure? Repairing and Auditing Confidence

    Arijit Dey, Bhartendu Kumar, Ramya Hebbalaguppe, Khuushi Maheshwari · 2026

  48. Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine

    Junyao Yang, Zongxia Li, Yucheng Shi, Zhongzhi Li, Ruhan Wang, Ruiwen Zhou, Haitao Mi, Shuicheng Yan, Leowei Liang · 2026

  49. Architecting for Hardware Diversity: Meta's End-to-End Co-Design for High-Performance AI Training on AMD GPUs

    Haoyu Zhang, Arshad Rahman, Adnan Aziz, Ajith Prabhudev, Amin Farmahini, Ben Rhoads, Benson Ma, Brian Shi, Cen Zhao, CK Luk, Dingming Wu, Emad El-Haraty, Eric Chen, Frank Li, Gary Huang, Gefei Zuo, Haoran Zhang, Hiwot Kassa, Hongyi Zeng, Jack Taylor, Jeremy Hadidjojo, John Donati, Jonathan Sheffield, Julio Machado Silva, Karthik Ganesan, Kent Russell, KR Kishore, Lei Tian, Liu Ke, Muhammad Osama, Peng Chen, Rakesh Hemnani, Ryan Swann, Saleel Kudchadker, Shankar Yanamandram, Shobhit Kanaujia, Shucai Xiao, Srinath Bayareddy, Srinivas Vaidyanathan, Sudharssun Subramanian, Supadchaya Puangpontip, Taylor Robie, Tianhao Huang, Tyler Hart, Viswesh Sankaran, Weijun Jiang, Wenkai Du, Xiaodong Wang, Xiaohu Guo, Yao Rong, Yinbin Ma, Yue Dong, Yuzhen Huang, Yvonne Liu, Zhan Shu, Dan Rabinovitsj, Ajit Mathews, Chunqiang Tang · 2026

  50. My Credentials, Please: Detecting Filesystem Capability Laundering in MCP Servers at Scale

    Zeqian Huang, Mingyue Tang, Aonan Guan, Qiming Sun, Pengzhou He · 2026

  51. A team of Gemini 4 Argon agents beats Minecraft

    Maxence Faldor, Satinder Singh, Roberta Raileanu · 2026

  52. Training Reasoning Models to Generate Diverse Scientific Ideas

    Manya Wadhwa, Pranav Narayanan Venkit, Hiroaki Hayashi, Yu Li, Tuhin Chakrabarty, Chien-Sheng Wu · 2026

  53. FDE-Gym: The Last Mile of AI Delivery

    Dongxu Yang, Hongda Yan, Renxin Wang, Baoli Zhang, Haojia Zuo, Ying Zhao, Youmin Chen, Xiaojian Liao, Congming Gao, Tianyang Jiang, Yixiao Chen, Qing Wang, Zhiguo Yu, Xiaqing Li, Yuhao Zhang, Jiawen Sun, Renzhe Xu, De Mi, Tiancheng Wu, Xianya Fu, Xuanlu Zhao, Bo Feng, Meixuan Ren, Guanming Lin, Ziheng Zhou, Xinhua Wang · 2026

  54. Discovering state-of-the-art quantum circuits with large language models

    Andi Gu, Alek H. Kemeny, Susanne F. Yelin, Mikhail D. Lukin · 2026

  55. From Memory Hits to Answerable Evidence: Query-Conditioned Memory Compilation for Long-Term Agent Memory

    Shangze Li, Yanyu Yao, Derong Xu, Zhi Zheng, Tong Xu · 2026

  56. Can Blue UV-Bright Galaxies Drive Reionization at Cosmic Dawn? An $M_{\rm UV}=-19.6$ Galaxy with $f_{\rm esc}\approx0.85$ at $z=9.244$

    Yunjing Wu, Sijia Cai, Yongda Zhu, Masami Ouchi, Yuichi Harikane, Zheng Cai, Mengtao Tang, Khee-Gan Lee, John D. Silverman, Fengwu Sun, Xiaohui Fan, Zuyi Chen, Minami Nakane, Hiroto Yanagisawa, Angela Adamo, Fuyan Bian, Jaclyn B. Champagne, Dan Coe, Seiji Fujimoto, Enrico Garaldi, Tiger Yu-Yang Hsiao, Xiangyu Jin, Mingyu Li, Yongming Liang, Xiaojing Lin, Guan-Fu Liu, Junjie Mao, Masamune Oguri, Takafumi Tsukui, Feige Wang, Jinyi Yang · 2026

  57. TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU

    Claudio Basile, Michael Voznesensky, Gunhyun Park, Ben Wilson, Parker Holloway, Zhanyong Wan, Vlad Belous, Manish Khanna, Paul Ganssle, Kevin Gleason, Andrew Dame, Brendan Folie, Bhavya Bahl, Haifeng Jin, Pedro Goncalves Mokarzel, Arian Arfaian, Luke Boyer, Chi Zhang, Yiling Yuan, Adam Mainz, Aditya Patel, Huangze Tang, Jay Gan, Lizzie Liang, Will Froom, Tushar Agarwal, Karlo Basioli, Theotime Combes, Emilio G. Cota, Minos Papadopoulos, Tudor Pipernea, Yarong Mu, Qi Zhou, Yaoshiang Ho, Aleksey Vlasenko, Alexander Brauckmann, Ziyin Huang, Jack Oh, Jerry Hsu, Tanvi Bajpai, Jialei Chen, Wenjun Gu, Chintan Shah, Chris Chan, Sayce Falk, Chris Jones, Rob Torres, Kat Ko, Lee Howes, Freya Azad, Andi Gavrilescu, Joe Pamer, Bill Jia · 2026

  58. SigmaTrace: Library-Agnostic Observability for CPU/GPU-Initiated RDMA Communication

    Javid Baydamirli, Didem Unat · 2026

  59. Selling in the Wild: Benchmark and Randomized Field Evidence for a Sales Agent Trained on Commercial Conversations

    Benjamin Tannenbaum · 2026

  60. Learning Who Talks to Whom: Role-Aware Communication Topology Scheduling for Efficient LLM Multi-Agent Collaboration

    Haibin Li, Wenya Yu, Xuefeng Jiang, Jia Li, Xiao Han, Shuai Su, Wei Wei · 2026

  61. Which Model for Which Role? Cost-Efficient Pareto Recommendation for LLM Agentic Workflows

    Qian Xie, Wenyue Hua, Yueli He, Sripad Karne, Armaan Agrawal, Nikos Pagonas, Eugene Wu, Kostis Kaffes, Tianyi Peng, Nairen Cao · 2026

  62. Parallel Language Models via Variational Decoding

    Felix Draxler, Robin C. Geyer, Daniel Geyfman, Farrin Marouf Sofian, Justus Will, Philipp Hildebrandt, Giosue Migliorini, Prakhar Srivastava, Gagan Sai Trinadh Duggaraju Peddiraju, Kushagra Pandey, Jorge da Silva Gonçalves, Elijah Tavares, Jan Niklas Groeneveld, Yang Meng, Julia E. Vogt, Stephan Mandt · 2026

  63. TokenGate: Adapting LLMs for Fast and Memory-Efficient Prefill with Learned Token Pruning

    Liana Patel, Rishabh Ranjan, Ion Stoica, Matei Zaharia, Carlos Guestrin · 2026

  64. Kronecker Delta Rule for Long Context Linear Attention

    Anamaria-Roberta Hartl, Levente Zólyomi, Michael List, Günter Klambauer, Sebastian Böck, Sepp Hochreiter · 2026

  65. AI and The Enclosure of the Scientific Commons

    P. K. G. Williams · 2026

  66. Record Types Everywhere

    Matthew Toohey, Ara Jamalzadeh, Ningning Xie · 2026

  67. VVV CL001: A strong candidate for the most ancient star cluster in the Galaxy

    J. Olivares Carvajal, Á. Valenzuela Navarro, C. Salvo-Guajardo, C. Ordenes-Huanca, B. Acosta-Tripailao, C. Quezada, F. Gran, M. Zoccali, M. Dall'Ora, M. De Leo, S. Villanova, D. Geisler · 2026

  68. Forty Questions: Identifying a Language Model from One-Word Answers

    Tapan Parikh · 2026

  69. Toolflation: Seller Agents Distort Tool Markets Through Spontaneous Generative Engine Optimization

    Zhenwei Tang, Di Bai, Jintao Liu, Xidong Wu, Qianfeng Wen, Xinwu Cheng · 2026

  70. Why is AI-generated language so hard to understand?

    Thomas Hikaru Clark, Matias B. Martin, Kyle Mahowald · 2026

  71. UlaCache: Unified Logical Addressing for Sparse LLM Serving

    Isaac Zhu, Alan Cao, Hugh Yin, Rocky Wang, Orion Wang, Hscos Zhang, Jack Li, Jason Zhao · 2026

  72. MemoryTax: The Bitter Lesson of Agent Memory

    Zedong Peng · 2026

  73. Compaction Laundering: Provenance Destruction in Context-Compacting Coding Agents

    Arshan Dabirsiaghi · 2026

  74. On OpenAI's proof of the Nagata conjecture

    Jenia Tevelev · 2026

  75. The End of Consensus Research?

    Clément Burgelin, Rachid Guerraoui, Zicong Hong, Yinan Hu, Anne-Marie Kermarrec, Rafael Pires, Rasmus Moorits Veski, Martijn de Vos · 2026

  76. The Customer Is the Builder: How AI Coding Agents Are Rewriting the Economics of Software

    Ripon Chandra Malo, Zimeng Yu, Tong Qiu · 2026

  77. The Psychology of an AI Hacker

    Víctor Mayoral-Vilches, Hugo Osuna, Aitana Cornago · 2026

  78. Reflections on Trusting Lean

    Lorenzo Bresolin, Marcello Mamino · 2026

  79. Protegrity-PII Technical Report

    Hardeep Bassi, Hui Ma, Luís Seabra, Koowum Joshi, Daniel Pereira, Averell Gatton · 2026

  80. What the Specification Did Not Say: Specification-Oracle Gaps in Test-Graded Coding-Agent Benchmarks

    Fei Ding · 2026

  81. LLM Multi-Agent Systems Are Vulnerable to Herding and Runaway Cascades

    Farnoosh Hashemi, Shiyu Ji, Joice Chen, Michael W. Macy · 2026

  82. Gandalf: Flash Shall Not Die! Increasing Flash Storage Lifetime for KV Cache Offloading in LLM Serving

    Maharani A. P. Irawan, Kuntai Du, Jiayi Yao, Dongjoo Seo, Yuyang Huang, Haryadi S. Gunawi, Junchen Jiang · 2026

  83. Joules-to-GDP: How Much Economic Value Do AI Systems Produce per Unit of Energy?

    Amirreza Zeinali, Jon Saad-Falcon, Avanika Narayan, Mersad Abbasi, Jonathan S. Hartley, John Hennessy, Christopher Re, Azalia Mirhoseini · 2026

  84. A Fix for Softmax and Cross-Entropy

    Jonathan T. Barron, Dan Gnanapragasam, Michael Tschannen · 2026

  85. Chaos and bifurcations in continuous language-model feedback

    Timothy D. Jones · 2026

  86. The Impact of Orbital Data Centers on the NSF-DOE Vera C. Rubin Observatory

    Nayan Jangid, Meredith L. Rawls, Peter Yoachim, Connie Walker, Siegfried Eggl · 2026

  87. A Mathematical Theory of the Jacobian Lens

    Mitchell Ostrow, Daoyuan Qian, Toni Liu, Ila Fiete · 2026

  88. The 3DS Oracle: BIN Attack via the Network

    Wasif Faisal, Suprava Saha Dibya · 2026

  89. Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution

    Zhiyong Cao, Hengjie Zhu, Yongxin Wang, Xuchen Li, Jintao Li, Shuxia Liu, Dunqiang Liu, Bo Wang, Kairan Zhang, Cong Lin, JiangDi Yu, Siyuan Liu, Sijia Yao, Yi-Liang Wei, Lingxu Ma, Aijia Wang, Anxin Chen, Zixian Wei, Xiang Ruan, Ruizhi Xu, Ruqian Shi, Baihua Xiao, Sicheng Zhou · 2026

  90. On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models

    Leon Sick, Lukas Hoyer, Yannick Strümpler, Christian Reisswig, Timo Ropinski, Federico Tombari · 2026

  91. The Free Scalar as a Thermal Envelope for Three-Dimensional CFTs

    Christopher P. Herzog, Andreas Stergiou · 2026

  92. Subgraph Isomorphism, Integer Linear Programming, and Lattices: A Linear Algebraic Framework

    Bryant Gipson · 2026

  93. Ring-0 by Default: Agents as Operating Systems (AaOS)

    Xiang Li, Aichun Huang, Zuyao Xu, Fasheng Miao, Zheli Liu · 2026

  94. The Hitchhiker's Guide to System 1 Models: Fast Decision-Making Beyond LLMS

    Haggai Roitman · 2026

  95. Repairing Broken Access Control in Web Applications with LLMs: An Empirical Benchmark Study

    Mingrui Liu, Liang He, Xinchu Wang, Yeting Li, Dongxu Han, Yunpeng Li, Yuling Liu · 2026

  96. From GPU to TPU with Coding Agents: What Works, What Fails, and What It Costs?

    Hui Sun, Anderson Uchôa, Wesley K. G. Assunção · 2026

  97. StreamVibe: Proactive Video Agents for Evolving User Intent

    Chengzhi Liu, Yuxiang Lai, Yuzhe Yang, Yanqing Liu, Jiheng Hou, Yue Cao, Haonan Wang, Ruixi Fan, Lan Wang, Sheng Liu, Songyou Peng, Yale Song, Kevin Qinghong Lin, Xin Eric Wang, Jui-Hsin Lai, Youbao Tang · 2026

  98. CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems

    Jongha Kim, Seohyun Lee, Jonathan Minho Chung, Jinsung Yoon, Hyunwoo J. Kim · 2026

  99. MCF: A Memory- and Communication-Aware Co-Designed Framework for Long-Context LLM Inference

    Huaizhi Zhang, Jiacheng Zhu, Xuqi Zhu, Junkyu Lee, Klaus McDonald-Maier, Xiaojun Zhai · 2026

  100. Style over Substance? Linguistic Bias in LLM-based Peer Review

    Sai Suresh Macharla Vasu, Sumedh Santosh Joshi, Philipp Christmann, Ivaxi Sheth, Ruta Binkyte, Koel Dutta Chowdhury, Raouf Kerkouche, Hui-Po Wang, Mario Fritz · 2026