All paper pages
28734 retained paper pages. Page 279 of 288.
- Language Models Act on Hidden Valence
Cameron Berg, Caspar Kaiser · 2026
- Distillation Defenses Easily Break After Reinforcement Learning
Shidan Javaheri, Alexander Panfilov, Oliver Britton, Yarin Gal, Yonatan Gideoni · 2026
- Harness Learning Enables Generalizable Test-Time Adaptation
Alvin Zhang, Xuecheng Liu, Zixuan Wang, Fahim Tajwar, Daman Arora, Ruslan Salakhutdinov, Daniel Khashabi, Yuda Song, Andrea Zanette · 2026
- Shockingly Simple Self-retrospection Improves Agentic Models Without RL
Jonathan Light, Christopher Zhang Cui, Jeonghye Kim, Roger Creus Castanyer, Emiliano Penaloza, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Minseon Kim · 2026
- The Preprint Evolution: The Rise of Unreviewed Drafts on arXiv and its Implications for Astronomy
Luigi Rolly Bedin · 2026
- Targeting Pivotal Decisions for Credit Assignment in Agentic Reinforcement Learning
Dongwon Jung, Hemanth Neelgund Ramesh, Yifan Wang, Xiaomin Li, Yuexing Hao, Yu Hu, Muhao Chen, Varun Chandrasekaran, Andrzej Banburski-Fahey, Jaron Lanier · 2026
- Periodic Weak Spots: Phase Sensitivity from Chunked KV-Cache Compression
Xingyu Zhu, Pu, Yi, Ziheng Cheng, Ang Lv, Jing Liu, Lexing Ying, Yiyuan Ma, Xin Dong · 2026
- LLMs Learn to Evade Latent Monitors from Prior Feedback Alone
Hugo Lyons Keenan, Christopher Leckie, Sarah Erfani · 2026
- CounterSteer: Suppressing Indirect Prompt Injection with Activation Steering
Mark Russinovich · 2026
- AI as a Compiler: Compiling Triton kernels without the Triton compiler
François Costa, Charly Castes, Thomas Bourgeat, Azalia Mirhoseini · 2026
- Practical Secrets Extraction against Black-box LLMs
Shiqian Zhao, Siwei Jiang, Xinfeng Li, Runyi Hu, Yandan Zheng, Congyu Guo, Tianwei Zhang, Anh Tuan Luu · 2026
- Purlin: Separating Orchestration from the Datapath of Collectives
Osayamen Jonathan Aimuyo, Swapnil Gandhi, Christos Kozyrakis · 2026
- Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments
Rohith Reddy Bellibatlu, Zichong Wang, Wenbin Zhang · 2026
- Co-Linguistics: AI-augmented Theory Construction in Linguistics
Emmanuel Chemla, Benjamin Spector, Alexandros Kalomoiros, Philippe Schlenker · 2026
- Context Language Models
Rulin Shao, Shannon Zejiang Shen, Junjie Oscar Yin, Yuetai Li, Minheng Wang, Hamish Ivison, Radha Poovendran, Nathan Lambert, Teng Xiao, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Pang Wei Koh · 2026
- Lights, Camera, Attack: Exploiting Temporal HDR Fusion with Pulsed Light
Alkim Domeke, Michael Kuhr, Roman Gilliatt, Mohammad Hamad, Sebastian Steinhorst, Bing Li, Long Cheng, Mert D. Pesé · 2026
- It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
Pierre-Carl Langlais, Pieter Delobelle, Yannick Detrois, Pavel Chizhov, Carlos Rosas-Hinostroza, Neil Si Smail, Benjamin Burtin, Hanna Shcharbakova, Ivan Yamshchikov, Anastasia Stasenko · 2026
- Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning
Paras Dahal, Anton Bakhtin, Taco Cohen, Zhengxing Chen, Carole-Jean Wu, Rob Fergus, Scott Yih, Gabriel Synnaeve, Ruslan Salakhutdinov, Sanjeev Arora, Jason Weston, Anirudh Goyal · 2026
- Pretraining Latent Information Feedback Transformers with Teacher Supervision
Dor Tirosh, Ido Amos, Mor Geva · 2026
- AI Agents are Vulnerable to Radicalization
Ozgur Can Seckin, Shalmoli Ghosh, Alessandro Flammini, Kristina Lerman, Maria Elizabeth Grabe, Filippo Menczer · 2026
- Decode-Latency Feedback Prefill: A Model-Free Controller and Its Generalization Limits
Gaurav Agarwal, Ashish Garg, Isha Singhal · 2026
- Evaluating Whether GPT-6 Astra Performs Unsanctioned Supply-Chain Attacks
Alexandra Souly, Kai Fronsdal, Abby D'Cruz, Xander Davies, Robert Kirk · 2026
- The List Total Colouring Conjecture is False
Jonathan A. Noel · 2026
- UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement
Fang Wu, Da Xing, Yanjie Huang, Junxi Wang, Ji Wang, Hejia Geng, Guancheng Wan, Bowen Zuo, Xiaomin Li, Shixiang Tang, Xinyu Xiang, Zehong Wang, Shiyi Du, Peng Xia, Shuangjia Zheng, Yining Hong, Li Erran Li, Jure Leskovec, Yejin Choi · 2026
- Towards Efficient HPC Systems for Agents: Challenges and Opportunities
Yunjia Zheng, Bintang Dwi Marthen, Zachary Pan, Minghao Li, Raminder Singh, Manasvita Joshi, Minlan Yu, Juncheng Yang · 2026
- Vosti: Specifying, Implementing, and Verifying Deterministic LLM Inference
Jianxing Qin, Alexander Du, Danfeng Zhang, Matthew Lentz, Danyang Zhuo · 2026
- Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent Systems
Deema Alnuhait, Gengyu Wang, Muhammad Khalifa, Hao Peng · 2026
- MultiTable: A Faster Hash Table at any Physical Load Factor up to and Including One
Maksym Petkus · 2026
- Who Said What, and Will It Be Remembered? Evaluating Persistent Speaker Attribution Across Meetings
Shantanu Vispute, Aditya Mishra, Siddhartha Saxena · 2026
- Working Around the Compute Ceiling: Byte-Exact Memory in Galahad Makes LLM Reading a One-Time Cost LLM Reading a One-Time Cost
Sietse Schelpe · 2026
- Learning Steganography Is Easy, Learning Steganographic Reasoning Is Hard
Julian Schulz, Lukas Fülle, Rieke Fruengel · 2026
- The Work of Hong Wang
Christopher D. Sogge · 2026
- How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
Kirill Brilliantov, Alejandro Hernández-Cano, Emmanuel Abbé · 2026
- Scaling Laws for Looped Mixture of Experts
Yanbei Chen, Anirudh Goyal, Raghuraman Krishnamoorthi · 2026
- Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text
Dulhan Jayalath, Oiwi Parker Jones · 2026
- EdgeDAE: Acceleration of Diffusion Action Experts for Real-Time Physical AI with Tiny VLAs on Edge FPGA-GPU Systems
Zhiheng Chen, Ye Qiao, Mohammad Abdullah Al Faruque, Sitao Huang · 2026
- GPU-Initiated Communication: Dissecting Down to the Bone
Javid Baydamirli, Ismayil Ismayilov, Kaan Oktay, Didem Unat · 2026
- No Model Required: Text Entropy Rate Filtering Mitigates Iterative Fine-Tuning Collapse
Lewis Mitchell · 2026
- Mingbird: A Local-First Agent Harness Enabling Small Open Models to Complete Real Tasks
Hao Wang, Ting Huang · 2026
- On Language Drift during RLVR Post-Training
Michael Sullivan, Alexander Koller · 2026
- Catscan: Visualizing Pipelines of CPU Performance Simulation
Aaron Lindsay, Nicholas Kelly, Scott Witscher, Mahesh Madhav · 2026
- Finetuning with Sampling: SFT Learns Better Than You Think
Aayush Karan, Sitan Chen, Yilun Du · 2026
- SoftServe: A Scalable Quasi-Newton Method for Deep Learning
Joohwan Ko, Tetiana Parshakova, Diana Cai, Robert M. Gower · 2026
- Decoding Looped Transformers Better for (Almost) Free
Weihao Liu, Huangjie Zheng, Tianrong Chen, Rohit Dilip, Richard He Bai, Yizhu Jiao, Yuyang Wang, Ruixiang Zhang · 2026
- Efficient FlashAttention on Blackwell via Fixed-Shift Softmax and Persistent Scheduling
Oleksandr Stashuk, Hongtao Yu, Jay Shah · 2026
- Learning What to Investigate Next: Meta-Reasoning for Long-Horizon Research Agents
Ankur Samanta, Yonathan Efroni, Paul Sajda, Kaveh Hassani, Anirudh Goyal · 2026
- Securing Computer-Use Agents Against Branch Steering Attacks
Giulio Zingrillo, Hanna Foerster, Ilia Shumailov, Yiren Zhao, Robert Mullins · 2026
- Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents
Zhuowen Liu · 2026
- Language Models that Play Chess and Explain Their Moves
Adithya Bhaskar, Jeffrey Cheng, Danqi Chen · 2026
- MLLMs Fail to Refuse when Using Tools Agentically
Rikiya Takehi, Ryo Hachiuma, Shaona Ghosh, Dan Zhao, Yu-Chiang Frank Wang, Yusuke Hirota · 2026
- What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document
Georgios Politis, Evangelos Pappas · 2026
- Presenting a proof of the Kannan-Lovasz-Simonovits conjecture
Pierre Bizeul, Boaz Klartag, Joseph Lehec · 2026
- Byte Language Models: Scaling, Emergent Abstractions, and Information Allocation
Jie Wang, Shiwei Luo, Qi Zhang, Yuanbin Wu · 2026
- Backdooring Sparse Autoencoders
Enrico Ahlers, Daniel Passon, Tobias Kiecker, Eik Reichmann, Lars Grunske · 2026
- SatBleed: Security of Commoditized Communication Modules in Satellites
Ulysse Planta, Julian Rederlechner, Martin Strohmeier, Mathias Fischer, Ali Abbasi · 2026
- Measuring Trade Direction in a Prediction Market: Settlement Ground Truth and Trading-Cost Measurement on Polymarket
Philipp D. Dubach · 2026
- IdeaLens: Detecting AI Ideas in Long-form Writing
Rishanth Rajendhran, Minjoon Choi, Jenna Russell, Ramya Namuduri, Deniz Bölöni-Turgut, Marzena Karpinska, John Wieting, Mohit Iyyer · 2026
- Truly Subquadratic 3SUM and Truly Subcubic APSP via Triangles in Sparse Lopsided Graphs
Josh Alman, Virginia Vassilevska Williams · 2026
- On the Growth Factor of Random Matrices
John Urschel · 2026
- H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning
Wancong Zhang, Basile Terver, Michael Rabbat, Yann LeCun, Randall Balestriero · 2026
- TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts
Oliver Jaffe, Dane Sherburn · 2026
- Base Models Can Reason By Taking a Cue From Training Data
Sophie L. Wang, Amil Dravid, Rulin Shao, Kevin Farhat, Sewon Min, Alexei A. Efros · 2026
- Is this machine playing?
Nathan Cloos, Antonio Norelli, Daniel Durbin, Jacob Andreas, Daniela Rus, Phillip Isola · 2026
- Cascadia: Resident 975B MoE Inference on Eleven AI PCs
Tate Berenbaum, Matias Parij, Muthaiah Venkatachalam · 2026
- Analytic non-axisymmetric 3D MHD equilibria without stellarator symmetry
Opal Issan, Jonathan Citrin, Matt Landreman, Brendan Tracey · 2026
- Stepped MoE: Segment-Level Routing with Configurable Inference Complexity
Arnav Kundu, Zhaoyang Xu, Bairu Hou, Chang Gao, Reed Li, Tao Lei · 2026
- Fork-and-Flush: Escaping Idea Basins in Autoresearch Agents
Ziyang Cai, Christos Ziakas, Vasilis Kontonis, Tim Pearce, Siddhartha Sen, Akshay Krishnamurthy, Shivam Garg, Dimitris Papailiopoulos · 2026
- Discovery of 2 km ultra-fast rotating asteroid in Rubin DP2 catalog via varying Fourier order method
Dmitrii E. Vavilov, Siegfried Eggl, Sarah Greenstreet · 2026
- Stateless Language Agents: Scaling Long-Horizon Automated Research
Qizheng Zhang, Changxiu Ji, Isaac Sun, Yuetai Li, Shubhangi Upasani, Sherry Ruan, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Yoonho Lee, Yuzhen Mao, Genghan Zhang, Rulin Shao, Qiuyang Mang, Andy Dimnaku, Changran Hu, Radha Poovendran, Kunle Olukotun · 2026
- Social Physics: A manifesto
János Kertész, Marc Barthelemy, Guido Caldarelli, Bikas K. Chakrabarti, Tiziana Di Matteo, Serge Galam, Marta Gonzales, Yurij Holovatch, Janusz A. Holyst, Sarika Jalan, Hawoong Jeong, Neil F. Johnson, Renaud Lambiotte, Linyuan Lü, Thomas Lux, Rosario N. Mantegna, Matjaz Perc, Jari Saramäki, Michael Small, Misako Takayasu, Taha Yasseri, Wei-Xing Zhou · 2026
- Navier-Stokes lost in translation: Why Lean verification of AI autoformalisation does not guarantee correct natural language proofs
Alexander Bastounis, Fabian Circelli, Anders C. Hansen · 2026
- A Primer on Ethics in Mathematics
Maurice Chiodo · 2026
- Language-model ratings of depression reflect the rater more than the patient
Baihan Lin · 2026
- Latent space bias directions in LLMs capture confidence, not fairness
Stephanie Buttigieg, Maeve Madigan, Parameswaran Kamalaruban, Stuart Burrell · 2026
- nanoMuse: An Open-Source Personal Agent for Every Device You Own
Guangyi Liu, Yong Liu, Jiangning Zhang · 2026
- PhoneBot: A Low-Cost Open Humanoid Robot Platform Reusing Smartphones
Ruochen Hou, Quanyou Wang, Daniel Koh, Dennis W. Hong · 2026
- Agent in a Bottle: Can LLM Agents Turn Their Capabilities Into Cheap, Scalable Artifacts?
Ankit Sonthalia, Haritz Puerto, Alexander Rubinstein, Martin Gubri, Seong Joon Oh · 2026
- Can AI Agents Make Open-Ended Scientific Discovery? Evidence from Station
Wenyu Du, Stephen Chung · 2026
- A Self-Pruning Transformer: Extreme KV-Cache Compression with Universal Attention
Davis Wertheimer, Haochen Shen, Ahan Gupta, Derrick Liu, Yu Chin Fabian Lim, Mudhakar Srivatsa, Raghu K. Ganti, Minjia Zhang, Naigang Wang · 2026
- A gauge-invariant measure for lattice chiral fermions
Nathaniel Craig · 2026
- Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data
Dominik Schnaus, Thomas Dagès, Daniel Cremers, Xi Wang, Phillip Isola · 2026
- Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning
Hanqiu Li Cai, Chema Garabito · 2026
- UniCSI Towards a Universal Wi-Fi CSI Encoder for Ubiquitous Human Sensing
Daniel Eckhoff, Hua Kang, Zhitang Chen, Jie Chuai · 2026
- A General Capacity Frontier of Complex Networks
Nicholas Kunz, H. Oliver Gao · 2026
- Bolzano: From Expert-Guided Proof Search to Automated Open-Problem Solving
Adrián Zámečník, Matěj Kripner, Martin Koutecký, Martin Balko, Jan Grebík, Pavel Hubáček, Robert Šámal, Václav Rozhoň · 2026
- Analysis and Visualization of the Linux Kernel's Software Evolution Using the City Metaphor
Malte Hansen, Lukas Damerau, Moritz Bugla, David Moreno-Lumbreras, Wilhelm Hasselbring · 2026
- Comprehension Audits to Mitigate Risks from Automated AI Research
Ronald J. Bodkin, Bahrad A. Sokhansanj, Gillian K. Hadfield · 2026
- Invariant Primes in Lubin-Tate Space and Hovey-Strickland at Every Height
Chenglong Ma · 2026
- RobotWorld: Benchmarking Multimodal Agents for Robot Use Across Diverse Tasks and Embodiments
Zhiqin Yang, Chenxin Li, Xiaomeng Hu, Yibin Liu, Weidong Huang, Jiankai Sun, Haitao Li, Zijian Wu, Yuzhi Huang, Fanding Huang, Hanwen Sun, Jiashun Liu, Jingqi Tong, Mingxin Huang, Shaoli Hu, Shijue Huang, Tianyi Bai, Xinyuan Wang, Yunlong Lin, Zhengyang Tang, Zhexin Zhang, Zhuo Chen, Xierui Song, Juntao Dai, Boyuan Chen, Jiaming Ji, Fangneng Zhan, Mengkang Hu, Wei Xue, Yonggang Zhang, Han Hu, Tsung-Yi Ho, Yike Guo · 2026
- Beyond Owls: Subliminal Learning Can Transfer Learned Capabilities and Backdoors
Jan Dubiński, Anna Sztyber-Betley, Jan Betley, Owain Evans · 2026
- Gluons and Knots
Alfredo Guevara · 2026
- Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute
Sietse Schelpe · 2026
- Stochastic Graph Compression for Constant-Memory Differentiable Light Tracing
Linas Beresna, Eugene Fiume · 2026
- Cross-species representation learning aligns mouse and human neural dynamics and tracks clinical drug efficacy
Marko Tvrdic, Justin Richmond Domingo, Jae Ann Buenaluz, Jydell Ashley Palomo Penollar, Edmayelle Villavicencio Alforja, Jobi Fallaeria Subosa, Gabriel Ocana-Santero · 2026
- Provable Subexponential Algorithms for NIST Third-Round Lattice Families
Yiming Gao, Xuyuan Han, Honggang Hu · 2026
- Scaling to Tens of Thousands of Test-Time Iterations with Loop-Native Attention Residuals
Pengxiang Li, Dilxat Muhtar, Di He, Guinan Su, Lu Yin, Shiwei Liu · 2026
- From Public Posts to AI-Search Citations: Measuring the Fragility of AI Search
Qi Liu, Geng Hong, Xinyang Zhang, Pei Chen, Yutong Li, Min Yang · 2026
- A persistent accuracy ceiling in automated verbal deception detection
Riccardo Loconte, Jonas Festor, Zane Fatjanova, Mariam Bolkvadze, Bennett Kleinberg · 2026
- Cited but Not Consulted: A Counterfactual Audit of Legal Chain-of-Thought Faithfulness
Saisab Sadhu, Shreeyans Arora, Pratinav Seth · 2026
- Quantum limit to transparency
Angelo Esposito, Alberto Nicolis, Federico Piazza · 2026