All paper pages
28734 retained paper pages. Page 232 of 288.
- Migrating Code At Scale With LLMs At Google
Celal Ziftci, Stoyan Nikolov, Anna Sjövall, Bo Kim, Daniele Codecasa, Max Kim · 2025
- Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
Subbarao Kambhampati, Karthik Valmeekam, Siddhant Bhambri, Vardhan Palod, Lucas Saldyt, Kaya Stechly, Soumya Rani Samineni, Durgesh Kalwar, Upasana Biswas · 2025
- "All Roads Lead to ChatGPT": How Generative AI is Eroding Social Interactions and Student Learning Communities
Irene Hou, Owen Man, Kate Hamilton, Srishty Muthusekaran, Jeffin Johnykutty, Leili Zadeh, Stephen MacNeil · 2025
- ReadMe.LLM: A Framework to Help LLMs Understand Your Library
Sandya Wijaya, Jacob Bolano, Alejandro Gomez Soteres, Shriyanshu Kode, Yue Huang, Anant Sahai · 2025
- Reasoning Models Can Be Effective Without Thinking
Wenjie Ma, Jingxuan He, Charlie Snell, Tyler Griggs, Sewon Min, Matei Zaharia · 2025
- Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects
Isabel O. Gallegos, Chen Shani, Weiyan Shi, Federico Bianchi, Izzy Gainsburg, Dan Jurafsky, Robb Willer · 2025
- Passive Channel Charting: Locating Passive Targets using Wi-Fi Channel State Information
Florian Euchner, David Kellner, Phillip Stephan, Stephan ten Brink · 2025
- TT3D: Table Tennis 3D Reconstruction
Thomas Gossard, Andreas Ziegler, Andreas Zell · 2025
- Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
Kevin Max, Larissa Sames, Shimeng Ye, Jan Steinkühler, Federico Corradi · 2025
- Rel: A Programming Language for Relational Data
Molham Aref, Paolo Guagliardo, George Kastrinis, Leonid Libkin, Victor Marsault, Wim Martens, Mary McGrath, Filip Murlak, Nathaniel Nystrom, Liat Peterfreund, Allison Rogers, Cristina Sirangelo, Domagoj Vrgoc, David Zhao, Abdul Zreika · 2025
- Ctrl-Z: Controlling AI Agents via Resampling
Aryan Bhatt, Cody Rushing, Adam Kaufman, Tyler Tracy, Vasil Georgiev, David Matolcsi, Akbir Khan, Buck Shlegeris · 2025
- M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Junxiong Wang, Wen-Ding Li, Daniele Paliotta, Daniel Ritter, Alexander M. Rush, Tri Dao · 2025
- Poly-Vector Retrieval: Reference and Content Embeddings for Legal Documents
João Alberto de Oliveira Lima · 2025
- Characterizing Knowledge Manipulation in a Russian Wikipedia Fork
Mykola Trokhymovych, Oleksandr Kosovan, Nathan Forrester, Pablo Aragón, Diego Saez-Trumper, Ricardo Baeza-Yates · 2025
- A cute proof that makes $e$ natural
Po-Shen Loh · 2025
- Affordable, manageable, practical, and scalable (AMPS) high-yield and high-gain inertial fusion
Andrew Alexander, Laura Robin Benedetti, Indrani Bhattacharyya, Jared Bowen, June Cabatu, Virgil Cacdac, Chhavi Chhavi, Chiatai Chen, Karen Chen, Dan Clark, Jerry Clark, Tyler Cope, Will Dannemann, Scott Davidson, David DeHaan, John Dugan, Mindy Eihusen, C. Leland Ellison, Carlos Esquivel, David Ethridge, Blake Ferguson, Bryan Ferguson, Jon Fry, Fernando Garcia-Rubio, Tarun Goyal, Gary Grim, Justin Grodman, Ben Haid, Fred Howland, Van Huynh, Vishal John, Patrick Knapp, Isaac Kravitz, Eric S. Lander, Samuel Langendorf, Keith LeChien, Anthony Link, Nathan Meezan, Douglas S. Miller, Nantas Nardelli, Queenelle Ogirri, Jon He Peng, Alexander Pinto, Rudolph Powser, Fritz Roy Puno, Kenny Quang, Brett Rahn, Will Regan, Kelsey Reichenbach, Adam Reyes, Courtney Richardson, David Rose, Joseph Samaniego, Paul F. Schmit, Victor Silva, Nick Simon, Shiva Sitaraman, Hardeep Sullan, James Trebesch, Minh Truong, Carrie Von Muench, Cory Waltz, Doug Williams, Echo Wood, Sid Wu, Alex B. Zylstra · 2025
- AtlasD: Automatic Local Symmetry Discovery
Manu Bhat, Jonghyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu · 2025
- Visual Language Models show widespread visual deficits on neuropsychological tests
Gene Tangtartharakul, Katherine R. Storrs · 2025
- 3D Gabor Splatting: Reconstruction of High-frequency Surface Texture using Gabor Noise
Haato Watanabe, Kenji Tojo, Nobuyuki Umetani · 2025
- SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
Samuel Weidemaier, Florine Hartwig, Josua Sassen, Sergio Conti, Mirela Ben-Chen, Martin Rumpf · 2025
- UI-E2I-Synth: Advancing GUI Grounding with Large-Scale Instruction Synthesis
Xinyi Liu, Xiaoyi Zhang, Ziyun Zhang, Yan Lu · 2025
- The Cambridge Report on Database Research
Anastasia Ailamaki, Samuel Madden, Daniel Abadi, Gustavo Alonso, Sihem Amer-Yahia, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Michael Cafarella, Surajit Chaudhuri, Susan Davidson, David DeWitt, Yanlei Diao, Xin Luna Dong, Michael Franklin, Juliana Freire, Johannes Gehrke, Alon Halevy, Joseph M. Hellerstein, Mark D. Hill, Stratos Idreos, Yannis Ioannidis, Christoph Koch, Donald Kossmann, Tim Kraska, Arun Kumar, Guoliang Li, Volker Markl, Renée Miller, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Aditya Parameswaran, Ippokratis Pandis, Jignesh M. Patel, Andrew Pavlo, Danica Porobic, Viktor Sanca, Michael Stonebraker, Julia Stoyanovich, Dan Suciu, Wang-Chiew Tan, Shiv Venkataraman, Matei Zaharia, Stanley B. Zdonik · 2025
- Pruning in Snowflake: Working Smarter, Not Harder
Andreas Zimmerer, Damien Dam, Jan Kossmann, Juliane Waack, Ismail Oukid, Andreas Kipf · 2025
- NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Tianyang Xu, Haojie Zheng, Chengze Li, Haoxiang Chen, Yixin Liu, Ruoxi Chen, Lichao Sun · 2025
- E-morphic: Scalable Equality Saturation for Structural Exploration in Logic Synthesis
Chen Chen, Guangyu HU, Cunxi Yu, Yuzhe Ma, Hongce Zhang · 2025
- Improving Instruct Models for Free: A Study on Partial Adaptation
Ozan İrsoy, Pengxiang Cheng, Jennifer L. Chen, Daniel Preoţiuc-Pietro, Shiyue Zhang, Duccio Pappadopulo · 2025
- 70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
Tianyi Zhang, Mohsen Hariri, Shaochen Zhong, Vipin Chaudhary, Yang Sui, Xia Hu, Anshumali Shrivastava · 2025
- Measuring Global Migration Flows using Online Data
Guanghua Chi, Guy J. Abel, Drew Johnston, Eugenia Giraudy, Mike Bailey · 2025
- A New Radio Continuum Study of the Large Magellanic Cloud Supernova Remnant MC SNR J0519-6902
Rami Z. E. Alsaberi, Miroslav D. Filipovic, Hidetoshi Sano, Shi Dai, Frank Haberl, Patrick J. Kavanagh, Denis Leahy, Pierre Maggi, Gavin Rowell, Manami Sasaki, Ivo R. Seitenzahl, Dejan Urosevic, Jeffrey Payne, Zachary J. Smeaton, Sanja Lazarevic · 2025
- Steerable rolling of a 1-DoF robot using an internal pendulum
Christopher Y. Xu, Jack Yan, Kathleen Lum, Justin K. Yim · 2025
- Purposefully Induced Psychosis (PIP): Embracing Hallucination as Imagination in Large Language Models
Kris Pilcher, Esen K. Tütüncü · 2025
- Creating benchmarkable components to measure the quality ofAI-enhanced developer tools
Elise Paradis, Ambar Murillo, Maulishree Pandey, Sarah D'Angelo, Matthew Hughes, Andrew Macvean, Ben Ferrari-Church · 2025
- Hardness of observing strong-to-weak symmetry breaking
Xiaozhou Feng, Zihan Cheng, Matteo Ippoliti · 2025
- New Constraints on DMS and DMDS in the Atmosphere of K2-18 b from JWST MIRI
Nikku Madhusudhan, Savvas Constantinou, Måns Holmberg, Subhajit Sarkar, Anjali A. A. Piette, Julianne I. Moses · 2025
- BitNet b1.58 2B4T Technical Report
Shuming Ma, Hongyu Wang, Shaohan Huang, Xingxing Zhang, Ying Hu, Ting Song, Yan Xia, Furu Wei · 2025
- Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models
Xiaoyan Zhao, Yang Deng, Wenjie Wang, Hongzhan lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua · 2025
- Specialized text classification: an approach to classifying Open Banking transactions
Duc Tuyen TA, Wajdi Ben Saad, Ji Young Oh · 2025
- A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He · 2025
- "It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool
Anna-Carolina Haensch · 2025
- Streamlining Biomedical Research with Specialized LLMs
Linqing Chen, Weilei Wang, Yubin Xia, Wentao Wu, Peng Xu, Zilong Bai, Jie Fang, Chaobo Xu, Ran Hu, Licong Xu, Haoran Hua, Jing Sun, Hanmeng Zhong, Jin Liu, Tian Qiu, Haowen Liu, Meng Hu, Xiuwen Li, Fei Gao, Yong Gu, Tao Shi, Chaochao Wang, Jianping Lu, Cheng Sun, Yixin Wang, Shengjie Yang, Yuancheng Li, Lu Jin, Lisha Zhang, Fu Bian, Zhongkai Ye, Lidong Pei, Changyang Tu · 2025
- Themisto: Jupyter-Based Runtime Benchmark
Konstantin Grotov, Sergey Titov · 2025
- WorldMem: Long-term Consistent World Simulation with Memory
Zeqi Xiao, Yushi Lan, Yifan Zhou, Wenqi Ouyang, Shuai Yang, Yanhong Zeng, Xingang Pan · 2025
- Position: The Most Expensive Part of an LLM should be its Training Data
Nikhil Kandpal, Colin Raffel · 2025
- Reinforcement Learning from Human Feedback
Nathan Lambert · 2025
- Code Improvement Practices at Meta
Audris Mockus, Peter C Rigby, Rui Abreu, Anatoly Akkerman, Yogesh Bhootada, Payal Bhuptani, Gurnit Ghardhora, Lan Hoang Dao, Chris Hawley, Renzhi He, Sagar Krishnamoorthy, Sergei Krauze, Jianmin Li, Anton Lunov, Dragos Martac, Francois Morin, Neil Mitchell, Venus Montes, Maher Saba, Matt Steiner, Andrea Valori, Shanchao Wang, Nachiappan Nagappan · 2025
- Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
Lvmin Zhang, Shengqu Cai, Muyang Li, Gordon Wetzstein, Maneesh Agrawala · 2025
- Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Yu Hao, Yida Wang, Gennady Pekhimenko · 2025
- High-Stability Single-Ion Clock with $5.5\times10^{-19}$ Systematic Uncertainty
Mason C. Marshall, Daniel A. Rodriguez Castillo, Willa J. Arthur-Dworschack, Alexander Aeppli, Kyungtae Kim, Dahyeon Lee, William Warfield, Joost Hinrichs, Nicholas V. Nardelli, Tara M. Fortier, Jun Ye, David R. Leibrandt, David B. Hume · 2025
- FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
Nandan Thakur, Jimmy Lin, Sam Havens, Michael Carbin, Omar Khattab, Andrew Drozdov · 2025
- Sleep-time Compute: Beyond Inference Scaling at Test-time
Kevin Lin, Charlie Snell, Yu Wang, Charles Packer, Sarah Wooders, Ion Stoica, Joseph E. Gonzalez · 2025
- It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
Ali Behrouz, Meisam Razaviyayn, Peilin Zhong, Vahab Mirrokni · 2025
- EDGS: Eliminating Densification for Efficient Convergence of 3DGS
Dmytro Kotovenko, Olga Grebenkova, Björn Ommer · 2025
- Just Another Hour on TikTok: ID sampling to obtain a complete slice of TikTok
Benjamin Steel, Miriam Schirmer, Derek Ruths, Juergen Pfeffer · 2025
- LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
Jiang-Xin Shi, Tong Wei, Yu-Feng Li · 2025
- Sentiment Analysis on the young people's perception about the mobile Internet costs in Senegal
Derguene Mbaye, Madoune Robert Seye, Moussa Diallo, Mamadou Lamine Ndiaye, Djiby Sow, Dimitri Samuel Adjanohoun, Tatiana Mbengue, Cheikh Samba Wade, De Roulet Pablo, Jean-Claude Baraka Munyaka, Jerome Chenal · 2025
- Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
Zhiwei Xu, Zhiyu Ni, Yixin Wang, Wei Hu · 2025
- TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering
Sangmin Yoo, Amod Holla, Sourav Sanyal, Dong Eun Kim, Francesca Iacopi, Dwaipayan Biswas, James Myers, Kaushik Roy · 2025
- Cost-of-Pass: An Economic Framework for Evaluating Language Models
Mehmet Hamza Erol, Batu El, Mirac Suzgun, Mert Yuksekgonul, James Zou · 2025
- In between myth and reality: AI for math -- a case study in category theory
Răzvan Diaconescu · 2025
- Trust, but verify
Michael J. Yuan, Carlos Lospoy, Sydney Lai, James Snewin, Ju Long · 2025
- From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
Jiliang Ni, Jiachen Pu, Zhongyi Yang, Kun Zhou, Hui Wang, Xiaoliang Xiao, Dakui Wang, Xin Li, Jingfeng Luo, Conggang Hu · 2025
- Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy?
Motunrayo Ibiyo, Thinakone Louangdy, Phuong T. Nguyen, Claudio Di Sipio, Davide Di Ruscio · 2025
- Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang · 2025
- The Model Counting Competitions 2021-2023
Johannes K. Fichte, Markus Hecher · 2025
- Bio-crafting Architecture: Experiences of growing mycelium in minimal surface molds
Anca-Simona Horvath, Alina Elena Voinea, Radu Arieşan · 2025
- 10 Questions to Fall in Love with ChatGPT: An Experimental Study on Interpersonal Closeness with Large Language Models (LLMs)
Jessica Szczuka, Lisa Mühl, Paula Ebner, Simon Dubé · 2025
- Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
Haoming Wang, Boyuan Yang, Xiangyu Yin, Wei Gao · 2025
- Terminal Lucidity: Envisioning the Future of the Terminal
Michael MacInnis, Olga Baysal, Michele Lanza · 2025
- CAOTE: KV Cache Selection for LLMs via Attention Output Error-Based Token Eviction
Raghavv Goel, Junyoung Park, Mukul Gagrani, Dalton Jones, Matthew Morse, Harper Langston, Mingu Lee, Chris Lott · 2025
- DoomArena: A framework for Testing AI Agents Against Evolving Security Threats
Leo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy Dvijotham · 2025
- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kıcıman · 2025
- An interstellar mission to test astrophysical black holes
Cosimo Bambi · 2025
- BLACKOUT: Data-Oblivious Computation with Blinded Capabilities
Hossam ElAtali, Merve Gülmez, Thomas Nyman, N. Asokan · 2025
- The Memorization Problem: Can We Trust LLMs' Economic Forecasts?
Alejandro Lopez-Lira, Yuehua Tang, Mingyin Zhu · 2025
- Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions
Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Weihang You, Hanqi Jiang, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma · 2025
- ReCraft: Self-Contained Split, Merge, and Membership Change of Raft Protocol
Kezhi Xiong, Soonwon Moon, Joshua Kang, Bryant Curto, Jieung Kim, Ji-Yong Shin · 2025
- The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Jimmy Lin · 2025
- Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
Chen Xie, Mingsheng Jiao, Xiaodong Gu, Beijun Shen · 2025
- Contemplative Artificial Intelligence
Ruben Laukkonen, Fionn Inglis, Shamil Chandaria, Lars Sandved-Smith, Edmundo Lopez-Sola, Jakob Hohwy, Jonathan Gold, Adam Elwood · 2025
- CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
Anirudh Khatry, Robert Zhang, Jia Pan, Ziteng Wang, Qiaochu Chen, Greg Durrett, Isil Dillig · 2025
- RAGDoll: Efficient Offloading-based Online RAG System on a Single GPU
Weiping Yu, Ningyi Liao, Siqiang Luo, Junfeng Liu · 2025
- Exploring Compositional Generalization (in COGS/ReCOGS_pos) by Transformers using Restricted Access Sequence Processing (RASP)
William Bruns · 2025
- SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis
Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna · 2025
- Improving Learning to Optimize Using Parameter Symmetries
Guy Zamir, Aryan Dokania, Bo Zhao, Rose Yu · 2025
- Feeding LLM Annotations to BERT Classifiers at Your Own Risk
Yucheng Lu, Kazimier Smith · 2025
- Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multihoming
Andrey Fradkin · 2025
- LithOS: An Operating System for Efficient Machine Learning on GPUs
Patrick H. Coppock, Brian Zhang, Eliot H. Solomon, Vasilis Kypriotis, Leon Yang, Bikash Sharma, Dan Schatzberg, Todd C. Mowry, Dimitrios Skarlatos · 2025
- Learning Adaptive Parallel Reasoning with Language Models
Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr · 2025
- Nonreciprocal wave-mediated interactions power a classical time crystal
Mia C. Morrell, Leela Elliott, David G. Grier · 2025
- Guillotine: Hypervisors for Isolating Malicious AIs
James Mickens, Sarah Radway, Ravi Netravali · 2025
- The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
Minghao Wu, Weixuan Wang, Sinuo Liu, Huifeng Yin, Xintong Wang, Yu Zhao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang · 2025
- ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection
Assaf Gerner, Netta Madvil, Nadav Barak, Alex Zaikman, Jonatan Liberman, Liron Hamra, Rotem Brazilay, Shay Tsadok, Yaron Friedman, Neal Harow, Noam Bressler, Shir Chorev, Philip Tannor · 2025
- Inducing Vulnerable Code Generation in LLM Coding Assistants
Binqi Zeng, Quan Zhang, Chijin Zhou, Gwihwan Go, Yu Jiang, Heyuan Shi · 2025
- Certified Mitigation of Worst-Case LLM Copyright Infringement
Jingyu Zhang, Jiacan Yu, Marc Marone, Benjamin Van Durme, Daniel Khashabi · 2025
- High-performance training and inference for deep equivariant interatomic potentials
Chuin Wei Tan, Marc L. Descoteaux, Mit Kotak, Gabriel de Miranda Nascimento, Seán R. Kavanagh, Laura Zichi, Menghang Wang, Aadit Saluja, Yizhong R. Hu, Tess Smidt, Anders Johansson, William C. Witt, Boris Kozinsky, Albert Musaelian · 2025
- Carbyne: An Ultra-Lightweight DoS-Resilient Mempool for Bitcoin
Hina Binte Haq, Syed Taha Ali, Asad Salman, Patrick McCorry, Siamak F. Shahandashti · 2025
- Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution
Junjie Chen, Haitao Li, Jingli Yang, Yiqun Liu, Qingyao Ai · 2025
- Stable electron-irradiated [1-$^{13}$C]alanine radicals for clinically viable metabolic imaging with Dynamic Nuclear Polarization
Catriona H. E. Rooney, Justin Y. C. Lau, Esben S. S. Hansen, Nichlas Vous Christensen, Duy A. Dang, Kristoffer Petersson, Iain D. C. Tullis, Borivoj Vojnovic, Sean Smart, Jarrod Lewis, William Myers, Zoe Richardson, Brett W. C. Kennedy, Alice M. Bowen, Lotte Bonde Bertelsen, Christoffer Laustsen, Damian J. Tyler, Jack J. Miller · 2025
- A Survey of AI Agent Protocols
Yingxuan Yang, Huacan Chai, Yuanyi Song, Siyuan Qi, Muning Wen, Ning Li, Junwei Liao, Haoyi Hu, Jianghao Lin, Gaowei Chang, Weiwen Liu, Ying Wen, Yong Yu, Weinan Zhang · 2025
- HEMA : A Hippocampus-Inspired Extended Memory Architecture for Long-Context AI Conversations
Kwangseob Ahn · 2025