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@arXiv_csCL_bot@mastoxiv.page
2026-03-31 11:12:28

Replaced article(s) found for cs.CL. arxiv.org/list/cs.CL/new
[1/5]:
- Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Ru Wang, Wei Huang, Selena Song, Haoyu Zhang, Qian Niu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
arxiv.org/abs/2502.18273 mastoxiv.page/@arXiv_csCL_bot/
- Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech
Anja Ryser, Yingqiang Gao, Sarah Ebling
arxiv.org/abs/2504.00780 mastoxiv.page/@arXiv_csCL_bot/
- Cultural Biases of Large Language Models and Humans in Historical Interpretation
Fabio Celli, Georgios Spathulas
arxiv.org/abs/2504.02572 mastoxiv.page/@arXiv_csCL_bot/
- BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
Jiageng Wu, et al.
arxiv.org/abs/2504.19467 mastoxiv.page/@arXiv_csCL_bot/
- Understanding the Anchoring Effect of LLM with Synthetic Data: Existence, Mechanism, and Potentia...
Yiming Huang, Biquan Bie, Zuqiu Na, Weilin Ruan, Songxin Lei, Yutao Yue, Xinlei He
arxiv.org/abs/2505.15392 mastoxiv.page/@arXiv_csCL_bot/
- Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods
Raza, Qureshi, Farooq, Lotif, Chadha, Pandya, Emmanouilidis
arxiv.org/abs/2505.17870 mastoxiv.page/@arXiv_csCL_bot/
- LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Fu, Jiang, Hong, Li, Guo, Yang, Chen, Zhang
arxiv.org/abs/2506.14493 mastoxiv.page/@arXiv_csCL_bot/
- GHTM: A Graph-based Hybrid Topic Modeling Approach with a Benchmark Dataset for the Low-Resource ...
Farhana Haque, Md. Abdur Rahman, Sumon Ahmed
arxiv.org/abs/2508.00605 mastoxiv.page/@arXiv_csCL_bot/
- Link Prediction for Event Logs in the Process Industry
Anastasia Zhukova, Thomas Walton, Christian E. Lobm\"uller, Bela Gipp
arxiv.org/abs/2508.09096 mastoxiv.page/@arXiv_csCL_bot/
- AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation
Huang, Cao, Zhang, Kang, Wang, Wang, Luo, Zheng, Qian, Chen, Yu
arxiv.org/abs/2509.16952 mastoxiv.page/@arXiv_csCL_bot/
- Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortio...
Jun Seo Kim, Hyemi Kim, Woo Joo Oh, Hongjin Cho, Hochul Lee, Hye Hyeon Kim
arxiv.org/abs/2509.17292 mastoxiv.page/@arXiv_csCL_bot/
- Dual-Space Smoothness for Robust and Balanced LLM Unlearning
Han Yan, Zheyuan Liu, Meng Jiang
arxiv.org/abs/2509.23362 mastoxiv.page/@arXiv_csCL_bot/
- The Rise of AfricaNLP: Contributions, Contributors, Community Impact, and Bibliometric Analysis
Tadesse Destaw Belay, et al.
arxiv.org/abs/2509.25477 mastoxiv.page/@arXiv_csCL_bot/
- Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Reco...
Srivastav, Zheng, Bezzam, Le Bihan, Koluguri, \.Zelasko, Majumdar, Moumen, Gandhi
arxiv.org/abs/2510.06961 mastoxiv.page/@arXiv_csCL_bot/
- Neuron-Level Analysis of Cultural Understanding in Large Language Models
Taisei Yamamoto, Ryoma Kumon, Danushka Bollegala, Hitomi Yanaka
arxiv.org/abs/2510.08284 mastoxiv.page/@arXiv_csCL_bot/
- CLMN: Concept based Language Models via Neural Symbolic Reasoning
Yibo Yang
arxiv.org/abs/2510.10063 mastoxiv.page/@arXiv_csCL_bot/
- Schema for In-Context Learning
Chen, Chen, Wang, Leong, Fung, Bernales, Aspuru-Guzik
arxiv.org/abs/2510.13905 mastoxiv.page/@arXiv_csCL_bot/
- Evaluating Latent Knowledge of Public Tabular Datasets in Large Language Models
Matteo Silvestri, Fabiano Veglianti, Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei
arxiv.org/abs/2510.20351 mastoxiv.page/@arXiv_csCL_bot/
- LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data
Julian Valline, Cedric Lothritz, Siwen Guo, Jordi Cabot
arxiv.org/abs/2510.24434 mastoxiv.page/@arXiv_csCL_bot/
- Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs
Muhammed Saeed, Muhammad Abdul-mageed, Shady Shehata
arxiv.org/abs/2511.01187 mastoxiv.page/@arXiv_csCL_bot/
toXiv_bot_toot

@Techmeme@techhub.social
2026-02-01 15:05:44

Inside Physical Intelligence, a startup co-founded by Stripe veteran Lachy Groom that is building general-purpose robotic foundation models and has raised $1B (Connie Loizos/TechCrunch)
techcrunch.com/2026/01/30/phys…

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:07:47

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/6]:
- Performance Asymmetry in Model-Based Reinforcement Learning
Jing Yu Lim, Rushi Shah, Zarif Ikram, Samson Yu, Haozhe Ma, Tze-Yun Leong, Dianbo Liu
arxiv.org/abs/2505.19698 mastoxiv.page/@arXiv_csLG_bot/
- Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependenc...
Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, Taesup Kim
arxiv.org/abs/2506.08660 mastoxiv.page/@arXiv_csLG_bot/
- Wasserstein Barycenter Soft Actor-Critic
Zahra Shahrooei, Ali Baheri
arxiv.org/abs/2506.10167 mastoxiv.page/@arXiv_csLG_bot/
- Foundation Models for Causal Inference via Prior-Data Fitted Networks
Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel
arxiv.org/abs/2506.10914 mastoxiv.page/@arXiv_csLG_bot/
- FREQuency ATTribution: benchmarking frequency-based occlusion for time series data
Dominique Mercier, Andreas Dengel, Sheraz Ahmed
arxiv.org/abs/2506.18481 mastoxiv.page/@arXiv_csLG_bot/
- Complexity-aware fine-tuning
Andrey Goncharov, Daniil Vyazhev, Petr Sychev, Edvard Khalafyan, Alexey Zaytsev
arxiv.org/abs/2506.21220 mastoxiv.page/@arXiv_csLG_bot/
- Transfer Learning in Infinite Width Feature Learning Networks
Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan
arxiv.org/abs/2507.04448 mastoxiv.page/@arXiv_csLG_bot/
- A hierarchy tree data structure for behavior-based user segment representation
Liu, Kang, Iyer, Malik, Li, Wang, Lu, Zhao, Wang, Liu, Liu, Liang, Yu
arxiv.org/abs/2508.01115 mastoxiv.page/@arXiv_csLG_bot/
- One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Lea...
Thanh Nguyen, Chang D. Yoo
arxiv.org/abs/2508.13904 mastoxiv.page/@arXiv_csLG_bot/
- Uncertainty Propagation Networks for Neural Ordinary Differential Equations
Hadi Jahanshahi, Zheng H. Zhu
arxiv.org/abs/2508.16815 mastoxiv.page/@arXiv_csLG_bot/
- Learning Unified Representations from Heterogeneous Data for Robust Heart Rate Modeling
Zhengdong Huang, Zicheng Xie, Wentao Tian, Jingyu Liu, Lunhong Dong, Peng Yang
arxiv.org/abs/2508.21785 mastoxiv.page/@arXiv_csLG_bot/
- Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
Liu, Cao, Jiang, Luo, Duan, Wang, Sosnick, Xu, Stevens
arxiv.org/abs/2509.15796 mastoxiv.page/@arXiv_csLG_bot/
- From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
Xilin Dai, Zhijian Xu, Wanxu Cai, Qiang Xu
arxiv.org/abs/2509.19975 mastoxiv.page/@arXiv_csLG_bot/
- Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
arxiv.org/abs/2509.21895 mastoxiv.page/@arXiv_csLG_bot/
- From Parameters to Behaviors: Unsupervised Compression of the Policy Space
Davide Tenedini, Riccardo Zamboni, Mirco Mutti, Marcello Restelli
arxiv.org/abs/2509.22566 mastoxiv.page/@arXiv_csLG_bot/
- RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He, Haozheng Luo, Yan Chen, Qi R. Wang
arxiv.org/abs/2509.23115 mastoxiv.page/@arXiv_csLG_bot/
- Polychromic Objectives for Reinforcement Learning
Jubayer Ibn Hamid, Ifdita Hasan Orney, Ellen Xu, Chelsea Finn, Dorsa Sadigh
arxiv.org/abs/2509.25424 mastoxiv.page/@arXiv_csLG_bot/
- Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
Siddarth Venkatraman, et al.
arxiv.org/abs/2509.26626 mastoxiv.page/@arXiv_csLG_bot/
- Cautious Weight Decay
Chen, Li, Liang, Su, Xie, Pierse, Liang, Lao, Liu
arxiv.org/abs/2510.12402 mastoxiv.page/@arXiv_csLG_bot/
- TeamFormer: Shallow Parallel Transformers with Progressive Approximation
Wei Wang, Xiao-Yong Wei, Qing Li
arxiv.org/abs/2510.15425 mastoxiv.page/@arXiv_csLG_bot/
- Latent-Augmented Discrete Diffusion Models
Dario Shariatian, Alain Durmus, Umut Simsekli, Stefano Peluchetti
arxiv.org/abs/2510.18114 mastoxiv.page/@arXiv_csLG_bot/
- Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Method...
Mary E. An, Paul Griffin, Jonathan G. Stine, Ramakrishna Balakrishnan, Soundar Kumara
arxiv.org/abs/2510.22293 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@publicvoit@graz.social
2026-03-30 08:58:20

Well, this is an #Anthropic quote from February (which is in #AI terms ancient history) but I do find it hilarious.
You may have heard the first part of the quote but I do think that it gains with the sentences after:
"we don’t know if the models are

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 12:33:36

Crosslisted article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/3]:
- Diffusion Modulation via Environment Mechanism Modeling for Planning
Hanping Zhang, Yuhong Guo
arxiv.org/abs/2602.20422 mastoxiv.page/@arXiv_csAI_bot/
- Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning
Nihal Balivada, Shrey Gupta, Shashank Shreedhar Bhatt, Suyash Gupta
arxiv.org/abs/2602.20450 mastoxiv.page/@arXiv_csDC_bot/
- Prior-Agnostic Incentive-Compatible Exploration
Ramya Ramalingam, Osbert Bastani, Aaron Roth
arxiv.org/abs/2602.20465 mastoxiv.page/@arXiv_csGT_bot/
- PhyGHT: Physics-Guided HyperGraph Transformer for Signal Purification at the HL-LHC
Mohammed Rakib, Luke Vaughan, Shivang Patel, Flera Rizatdinova, Alexander Khanov, Atriya Sen
arxiv.org/abs/2602.20475 mastoxiv.page/@arXiv_hepex_bot
- ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory
Zhong, Faisal, Fran\c{c}a, Leesatapornwongsa, Szekeres, Rong, Nath
arxiv.org/abs/2602.20502 mastoxiv.page/@arXiv_csAI_bot/
- Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit Trivedi, Kartik Sharma, David C Parkes
arxiv.org/abs/2602.20517 mastoxiv.page/@arXiv_csAI_bot/
- Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
Lovelace, Belardi, Zalouk, Polavaram, Kundurthy, Weinberger
arxiv.org/abs/2602.20528 mastoxiv.page/@arXiv_csCL_bot/
- Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,\lambda}$ T...
Yanming Lai, Defeng Sun
arxiv.org/abs/2602.20555 mastoxiv.page/@arXiv_statML_bo
- Personal Information Parroting in Language Models
Nishant Subramani, Kshitish Ghate, Mona Diab
arxiv.org/abs/2602.20580 mastoxiv.page/@arXiv_csCL_bot/
- Characterizing Online and Private Learnability under Distributional Constraints via Generalized S...
Mo\"ise Blanchard, Abhishek Shetty, Alexander Rakhlin
arxiv.org/abs/2602.20585 mastoxiv.page/@arXiv_statML_bo
- Amortized Bayesian inference for actigraph time sheet data from mobile devices
Daniel Zhou, Sudipto Banerjee
arxiv.org/abs/2602.20611 mastoxiv.page/@arXiv_statML_bo
- Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model
Xueqiang Lv, Shizhou Zhang, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang
arxiv.org/abs/2602.20616 mastoxiv.page/@arXiv_csCV_bot/
- On the Convergence of Stochastic Gradient Descent with Perturbed Forward-Backward Passes
Boao Kong, Hengrui Zhang, Kun Yuan
arxiv.org/abs/2602.20646 mastoxiv.page/@arXiv_mathOC_bo
- DANCE: Doubly Adaptive Neighborhood Conformal Estimation
Feng, Reich, Beaglehole, Luo, Park, Yoo, Huang, Mao, Boz, Kim
arxiv.org/abs/2602.20652 mastoxiv.page/@arXiv_statML_bo
- Vision-Language Models for Ergonomic Assessment of Manual Lifting Tasks: Estimating Horizontal an...
Mohammad Sadra Rajabi, Aanuoluwapo Ojelade, Sunwook Kim, Maury A. Nussbaum
arxiv.org/abs/2602.20658 mastoxiv.page/@arXiv_csCV_bot/
- F10.7 Index Prediction: A Multiscale Decomposition Strategy with Wavelet Transform for Performanc...
Xuran Ma, et al.
arxiv.org/abs/2602.20712 mastoxiv.page/@arXiv_astrophIM
- Communication-Inspired Tokenization for Structured Image Representations
Davtyan, Sahin, Haghighi, Stapf, Acuaviva, Alahi, Favaro
arxiv.org/abs/2602.20731 mastoxiv.page/@arXiv_csCV_bot/
- SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
Yifei Xu, et al.
arxiv.org/abs/2602.20751 mastoxiv.page/@arXiv_csCL_bot/
- Assessing the Impact of Speaker Identity in Speech Spoofing Detection
Anh-Tuan Dao, Driss Matrouf, Nicholas Evans
arxiv.org/abs/2602.20805 mastoxiv.page/@arXiv_csSD_bot/
- Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation
Sayantan Dasgupta, Trevor Cohn, Timothy Baldwin
arxiv.org/abs/2602.20816 mastoxiv.page/@arXiv_csCL_bot/
- DRESS: A Continuous Framework for Structural Graph Refinement
Eduar Castrillo Velilla
arxiv.org/abs/2602.20833 mastoxiv.page/@arXiv_csDS_bot/
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:07:37

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[1/6]:
- Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
arxiv.org/abs/2309.13411
- Knee or ROC
Veronica Wendt, Jacob Steiner, Byunggu Yu, Caleb Kelly, Justin Kim
arxiv.org/abs/2401.07390
- Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almud\'evar, Alfonso Ortega
arxiv.org/abs/2408.07016 mastoxiv.page/@arXiv_csLG_bot/
- Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can, Eli Waxman
arxiv.org/abs/2411.00759 mastoxiv.page/@arXiv_csLG_bot/
- Predicting Subway Passenger Flows under Incident Situation with Causality
Xiannan Huang, Shuhan Qiu, Quan Yuan, Chao Yang
arxiv.org/abs/2412.06871 mastoxiv.page/@arXiv_csLG_bot/
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
arxiv.org/abs/2501.08219 mastoxiv.page/@arXiv_csLG_bot/
- Universality of Benign Overfitting in Binary Linear Classification
Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik
arxiv.org/abs/2501.10538 mastoxiv.page/@arXiv_csLG_bot/
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert
arxiv.org/abs/2501.16613 mastoxiv.page/@arXiv_csLG_bot/
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
arxiv.org/abs/2502.01310
- Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
arxiv.org/abs/2502.03652 mastoxiv.page/@arXiv_csLG_bot/
- Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
arxiv.org/abs/2502.12108 mastoxiv.page/@arXiv_csLG_bot/
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
arxiv.org/abs/2502.17028 mastoxiv.page/@arXiv_csLG_bot/
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad
arxiv.org/abs/2503.00229 mastoxiv.page/@arXiv_csLG_bot/
- Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Yan Li, Zhenyu Zhang, Zhengang Wang, Pengfei Chen, Pengfei Zheng
arxiv.org/abs/2503.04398 mastoxiv.page/@arXiv_csLG_bot/
- A Survey on Federated Fine-tuning of Large Language Models
Wu, Tian, Li, Sun, Tam, Zhou, Liao, Xiong, Guo, Li, Xu
arxiv.org/abs/2503.12016 mastoxiv.page/@arXiv_csLG_bot/
- Towards Trustworthy GUI Agents: A Survey
Yucheng Shi, Wenhao Yu, Jingyuan Huang, Wenlin Yao, Wenhu Chen, Ninghao Liu
arxiv.org/abs/2503.23434 mastoxiv.page/@arXiv_csLG_bot/
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu, Yan Cheng
arxiv.org/abs/2504.13961 mastoxiv.page/@arXiv_csLG_bot/
- Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubi\'c, Davide Scaramuzza
arxiv.org/abs/2505.11602 mastoxiv.page/@arXiv_csLG_bot/
- RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta
arxiv.org/abs/2505.13289 mastoxiv.page/@arXiv_csLG_bot/
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
arxiv.org/abs/2505.18877 mastoxiv.page/@arXiv_csLG_bot/
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Bechler-Speicher, Zerio, Huri, Vestergaard, Gilad-Bachrach, Jess, Bhatt, Sazonovs
arxiv.org/abs/2505.19193 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@kexpmusicbot@mastodonapp.uk
2026-02-08 03:49:55

🇺🇦 #NowPlaying on KEXP's #Audioasis
Tomo Nakayama:
🎵 Get To Know You
#TomoNakayama
tomomusic.bandcamp.com/track/g
open.spotify.com/track/6LpfuMX

@UP8@mastodon.social
2026-03-26 20:48:24

🔊 Volvo’s $3,200 Sound System Has Settings I’ve Never Seen, and They Make a Big Difference
thedrive.com/news/volvos-3200-

@presseportal_pol_NDS@frawas.de
2026-01-26 15:14:15

POL-GÖ: (26/2026) Schwerer Verkehrsunfall bei winterlichen Straßenverhältnissen in Hann. Münden - 61-Jähriger schwer verletzt Göttingen (ots) - Hann. Münden, Tannenkamp/Philosophenweg Montag, 26. Januar 2026, gegen 08.00 Uhr HANN. MÜNDEN (ab) - Am heutigen Montagmorgen (26.01.26) kam es gegen 08:00 Uhr zu einem schweren Verkehrsunfall im Bereich ...

@hex@kolektiva.social
2026-02-15 19:00:42

RE: kolektiva.social/@Hex/11607586
I feel like I just need to sit down and start reading ollama source to actually understand how everything comes together. Like, what is the mechanism by which these trigger? Is it embedded in the statistical model or in another area?
I know there's a mechanic for special trigger words or objects because that's one of the vectors for RCE if you use an untrusted model. I'm betting that's the same here.
If it's just a string comparison then it's hypothetically possible to get those strings out of a black box with a timing attack, but the number of interactions would probably be cost prohibitive.