Tootfinder

🇺🇦 #NowPlaying on KEXP's #VarietyMix
The Kinks:
🎵 Milk Cow Blues
#TheKinks
https://jmbaule.bandcamp.com/track/milk-cow-blues
https://open.spotify.com/track/2mFRfcpLm06ancyKxTaH5L

🇺🇦 #NowPlaying on #BBC6Music's #TheCraigCharlesFunkAndSoulShow
Syl Johnson:
🎵 I Only Have Love
#SylJohnson
https://syljohnson.bandcamp.com/track/i-only-have-love
https://open.spotify.com/track/28mpEw71yrpBRXtKqnwTFM

ArchXBench: A Complex Digital Systems Benchmark Suite for LLM Driven RTL Synthesis
Suresh Purini, Siddhant Garg, Mudit Gaur, Sankalp Bhat, Sohan Mupparapu, Arun Ravindran
https://arxiv.org/abs/2508.06047

ArchXBench: A Complex Digital Systems Benchmark Suite for LLM Driven RTL Synthesis
Modern SoC datapaths include deeply pipelined, domain-specific accelerators, but their RTL implementation and verification are still mostly done by hand. While large language models (LLMs) exhibit advanced code-generation abilities for programming languages like Python, their application to Verilog-like RTL remains in its nascent stage. This is reflected in the simple arithmetic and control circuits currently used to evaluate generative capabilities in existing benchmarks. In this paper, we int…

So patzte US-Gesandter - Friedenshoffnung wegen stümperhafter Diplomatie #News #Nachrichten

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/3]:
- MyProfessors: Mining Turkish Student Reviews
Ibrahim Faruk Ceylan, Necmettin Bera Calik

HumAIne-Chatbot: Real-Time Personalized Conversational AI via Reinforcement Learning
Georgios Makridis, Georgios Fragiadakis, Jorge Oliveira, Tomaz Saraiva, Philip Mavrepis, Georgios Fatouros, Dimosthenis Kyriazis
https://arxiv.org/abs/2509.04303

HumAIne-Chatbot: Real-Time Personalized Conversational AI via Reinforcement Learning
Current conversational AI systems often provide generic, one-size-fits-all interactions that overlook individual user characteristics and lack adaptive dialogue management. To address this gap, we introduce \textbf{HumAIne-chatbot}, an AI-driven conversational agent that personalizes responses through a novel user profiling framework. The system is pre-trained on a diverse set of GPT-generated virtual personas to establish a broad prior over user types. During live interactions, an online reinf…

Die Kongreßbadkrähen sind stümperhaft impertinent. Da machte sich eine mit meinem Paket Taschentücher davon, ließ jedoch den Geldschein, der mir rausgefallen war, liegen. Happy Schnabelschnäuzing!

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/6]:
- MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models
Suramya Jadhav, Abhay Shanbhag, Amogh Thakurdesai, Ridhima Sinare, Ananya Joshi, Raviraj Joshi

H.E.S.S. programme searching for VHE gamma rays associated with FRBs
F. Aharonian, A. Archaryya, J. Aschersleben, H. Ashkar, M. Backes, V. Barbosa. Martins, R. Batzofin, Y. Becherini, D. Berge, K. Bernl\"ohr, M. B\"ottcher, C. Boisson, J. Bolmont, M. de. Bony. de. Lavergne, J. Borowska, F. Bradascio, R. Brose, A. Brown, F. Brun, B. Bruno, C. Burger-Scheidlin, S. Casanova, J. Celic, M. Cerruti, T. Chand, S. Chandra, A. Chen, J. Chibueze, O. Chibueze, J. Damascene. Mbarubucyeye…

H.E.S.S. programme searching for VHE gamma rays associated with FRBs
Fast Radio Bursts (FRBs) are highly energetic, extremely short-lived bursts of radio flashes. Despite extensive research, the exact cause of these outbursts remains speculative. The high luminosity, short duration, and high dispersion measure of these events suggest they result from extreme, high-energy extragalactic sources, such as highly magnetized and rapidly spinning neutron stars known as magnetars. The number of detected FRBs, including repeating ones, has grown rapidly in recent years. …

Rough Path Approaches to Stochastic Control, Filtering, and Stopping
Jonathan A. Mavroforas, Anthony H. Dooley
https://arxiv.org/abs/2509.03055 https://arx…

Rough Path Approaches to Stochastic Control, Filtering, and Stopping
This paper presents a unified exposition of rough path methods applied to optimal control, robust filtering, and optimal stopping, addressing a notable gap in the existing literature where no single treatment covers all three areas. By bringing together key elements from Lyons' theory of rough paths, Gubinelli's controlled rough paths, and related developments, we recast these classical problems within a deterministic, pathwise framework. Particular emphasis is placed on providing detailed proo…