Carlos's Debrief

May 04, 2026 04:00
50ArXiv Papers
23Web Findings
73Total Sources
Topics searched: Artificial Intelligence Machine Learning Large Language Models Security & Cybersecurity Cryptography Zero Knowledge Quantum Computing Crypto & Blockchain AI Agents & Reasoning AI Safety & Alignment
May 04, 2026 04:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 18

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs [1]
Siyuan Huang, Xiaoye Qu, Yafu Li, Tong Zhu, Zefeng He, Muxin Fu, Daizong Liu, Wei-Long Zheng, Yu Cheng
While autoregressive Large Vision-Language Models (LVLMs) demonstrate remarkable proficiency in multimodal tasks, they face a "Visual Signal Dilution" phenomenon, where the accumulation of textual history expands the att…
cs.CV cs.AI
Can Coding Agents Reproduce Findings in Computational Materials Science? [2]
Ziyang Huang, Yi Cao, Ali K. Shargh, Jing Luo, Ruidong Mei, Mohd Zaki, Zhan Liu, Wyatt Bunstine, William Jurayj, Somdatta Goswami, Tyrel McQueen, Michael Shields, Jaafar El-Awady, Paulette Clancy, Benjamin Van Durme, Nicholas Andrews, William Walden, Daniel Khashabi
Large language models are increasingly deployed as autonomous coding agents and have achieved remarkably strong performance on software engineering benchmarks. However, it is unclear whether such success transfers to com…
cs.SE cs.AI cs.CL
When RAG Chatbots Expose Their Backend: An Anonymized Case Study of Privacy and Security Risks in Patient-Facing Medical AI [3]
Alfredo Madrid-García, Miguel Rujas
Background: Patient-facing medical chatbots based on retrieval-augmented generation (RAG) are increasingly promoted to deliver accessible, grounded health information. AI-assisted development lowers the barrier to buildi…
cs.CR cs.AI cs.CL
Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks [4]
Jingxi Pu, Tonghua Liu, Zhilin Guan, Siqiao Li, Yang Ming, Zheng Cong, Wei Zhang, Fangwei Li
With the development of deep learning, medical image processing has been widely used to assist clinical research. This paper focuses on the denoising problem of low-dose computed tomography using deep learning. Although …
eess.IV cs.AI cs.CV
Make Your LVLM KV Cache More Lightweight [5]
Xihao Chen, Yangyang Guo, Roger Zimmermann
Key-Value (KV) cache has become a de facto component of modern Large Vision-Language Models (LVLMs) for inference. While it enhances decoding efficiency in Large Language Models (LLMs), its direct adoption in LVLMs intro…
cs.CV cs.AI cs.LG
GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair [6]
Yinhao Xiao, Rongbo Xiao, Yihan Zhang
Reliable spatial analysis in GIScience requires preserving coordinate semantics, topology, units, and geographic plausibility. Current LLM-based GIS systems generate fluent scripts but rarely enforce these geographic rul…
cs.SE cs.AI
Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media [7]
Scott Friedman, Ruta Wheelock, Sonja Schmer-Galunder, Drisana Iverson, Jake Vasilakes, Joan Zheng, Jeffrey Rye, Vasanth Sarathy, Christopher Miller
The language in online platforms, influence operations, and political rhetoric frequently directs a mix of pro-social sentiment (e.g., advocacy, helpfulness, compassion) and anti-social sentiment (e.g., threats, oppositi…
cs.CL cs.AI
Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values [8]
Shradha Sharma, Swapnil Dhamal, Shweta Jain
We propose a new framework for meritocratic fairness in budgeted combinatorial multi-armed bandits with full-bandit feedback (BCMAB-FBF). Unlike semi-bandit feedback, the contribution of individual arms is not received i…
cs.LG cs.AI cs.MA
Position: agentic AI orchestration should be Bayes-consistent [9]
Theodore Papamarkou, Pierre Alquier, Matthias Bauer, Wray Buntine, Andrew Davison, Gintare Karolina Dziugaite, Maurizio Filippone, Andrew Y. K. Foong, Vincent Fortuin, Dimitris Fouskakis, Jes Frellsen, Eyke Hüllermeier, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Nikita Kotelevskii, Salem Lahlou, Yingzhen Li, Fang Liu, Clare Lyle, Thomas Möllenhoff, Konstantina Palla, Maxim Panov, Yusuf Sale, Kajetan Schweighofer, Artem Shelmanov, Siddharth Swaroop, Martin Trapp, Willem Waegeman, Andrew Gordon Wilson, Alexey Zaytsev
LLMs excel at predictive tasks and complex reasoning tasks, but many high-value deployments rely on decisions under uncertainty, for example, which tool to call, which expert to consult, or how many resources to invest. …
cs.AI cs.LG stat.ML
To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling [10]
Qinyuan Wu, Soumi Das, Mahsa Amani, Arijit Nag, Seungeon Lee, Krishna P. Gummadi, Abhilasha Ravichander, Muhammad Bilal Zafar
Agentic AI architectures augment LLMs with external tools, unlocking strong capabilities. However, tool use is not always beneficial; some calls may be redundant or even harmful. Effective tool use, therefore, hinges on …
cs.AI
Posterior Augmented Flow Matching [11]
George Stoica, Sayak Paul, Matthew Wallingford, Vivek Ramanujan, Abhay Nori, Winson Han, Ali Farhadi, Ranjay Krishna, Judy Hoffman
Flow matching (FM) trains a time-dependent vector field that transports samples from a simple prior to a complex data distribution. However, for high-dimensional images, each training sample supervises only a single traj…
cs.CV
CustomDancer: Customized Dance Recommendation by Text-Dance Retrieval [12]
Yawen Qin, Ke Qiu, Qin Zhang
Dance serves as both a cultural cornerstone and a medium for personal expression, yet the rapid growth of online dance content has made personalized discovery increasingly difficult. Text-based dance retrieval offers a n…
cs.MM
Reliability, Robustness, and Resilience Modeling for Surveillance System in Advanced Air Mobility Operations [13]
Esrat Farhana Dulia, Caleb Adams, Syed Arbab Mohd Shihab, Ruben Del Rosario
Ensuring the safe and efficient operation of Advanced Air Mobility (AAM) in low-altitude airspace requires a reliable, robust, and resilient surveillance system capable of continuously detecting, identifying, and trackin…
math.NA
PEARLS: Two Distinct Populations of AGN Hosts Moving Between Star Formation and Quiescence [14]
Gibson B. Bowling, Rafael Ortiz, S. P. Willner, Seth H. Cohen, Timothy Carleton, Rogier A. Windhorst, Rolf A. Jansen, Christopher N. A. Willmer, W. Peter Maksym, Anton M. Koekemoer, Madeline A. Marshall, Rosalia O'Brien, Payaswini Saikia, Massimo Ricotti, Jordan C. J. D'Silva, Dan Coe, Christopher J. Conselice, Jose M. Diego, Simon P. Driver, Brenda L. Frye, Norman A. Grogin, Rachel Honor, Jake Summers, Nor Pirzkal, Aaron Robotham, Russell E. Ryan, Brent M. Smith, Haojing Yan, Cheng Cheng, Liam Nolan, Heidi B. Hammel, Stefanie N. Milam
We present the results of AGN--host-galaxy decomposition using JWST/NIRCam, HST/ACS, and HST/WFC3 imaging of the North Ecliptic Pole Time Domain Field (NEP-TDF). The light-profiles of 36 NIRCam-selected AGN candidates ar…
astro-ph.GA
Optimization of Weak Lensing Lightcone Simulations for Higher-Order Statistics in the LSST era [15]
J. Mena-Fernández, C. Doux, J. Harnois-Déraps, K. Heitmann, C. Combet, P. Larsen, N. Frontiere, A. Bera, S. Samario-Nava, L. Castiblanco, C. Uhlemann, the LSST Dark Energy Science Collaboration
We present a framework for generating lightcone simulations tailored to the analysis of Stage-IV cosmic shear data using Higher-Order Statistics (HOS). We revisit key design choices from previous simulation campaigns and…
astro-ph.CO
W-boson helicity fractions in top decay as probes of dimension-6 and dimension-8 SMEFT operators [16]
Afsaneh Kianfar, Gholamhossein Haghighat, Mojtaba Mohammadi Najafabadi
Precision measurements of top-quark decays provide powerful probes of physics beyond the Standard Model (SM). While the impact of dimension-6 operators in the SM Effective Field Theory (SMEFT) has been extensively studie…
hep-ph
$4\times3$ Point Correlation Functions in Galaxy Surveys: Impact of Baryonic Feedback [17]
Avijit Bera, Joachim Harnois-Déraps, Juan Mena-Fernández, Mike Jarvis, Cyrille Doux, Katrin Heitmann, Mustapha Ishak, The LSST Dark Energy Science Collaboration
We investigate the impact of baryonic feedback on two-point and three-point correlation functions (2PCFs and 3PCFs hereafter, respectively) involving galaxy density fields (g) and weak lensing shear fields (G), from simu…
astro-ph.CO
When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models [18]
Sailesh Panda, Pritam Kadasi, Abhishek Upperwal, Mayank Singh
Large language models (LLMs) often achieve strong performance on reasoning benchmarks, but final-answer accuracy alone does not show whether they faithfully execute the procedure specified in a prompt. We study this ques…
cs.CL

🤖 Machine Learning 8

HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs [1]
Jinpai Zhao, Nishant Panda, Yen Ting Lin, Eirik Valseth, Diane Oyen, Clint Dawson
We introduce HyCOP, a modular framework that learns parametric PDE solution operators by composing simple modules (advection, diffusion, learned closures, boundary handling) in a query-conditioned way. Rather than learni…
cs.CE cs.LG math.NA
Generating Statistical Charts with Validation-Driven LLM Workflows [2]
Pavlin G. Poličar, Andraž Pevcin, Blaž Zupan
Generating diverse, readable statistical charts from tabular data remains challenging for LLMs, as many failures become apparent after rendering and are not detectable from data or code alone. Existing chart datasets als…
cs.LG
RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution [3]
Arunabh Srivastava, Mohammad A., Khojastepour, Srimat Chakradhar, Sennur Ulukus
Humans solve problems by executing targeted plans, yet large language models (LLMs) remain unreliable for structured workflow execution. We propose RunAgent, a multi-agent plan execution platform that interprets natural-…
cs.LG cs.CL cs.MA
SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control [4]
Stavros Orfanoudakis, Pedro P. Vergara
While representation and similarity learning have improved the sample efficiency of Reinforcement Learning (RL), they are rarely used to shape policy updates directly in the action space. To bridge this gap, a geometry-a…
cs.LG
Recursive Maximum Likelihood Estimation for Interacting Particle Systems using Virtual Particles [5]
Louis Sharrock, Nikolas Kantas, Grigorios A. Pavliotis
We study recursive maximum likelihood estimation for stochastic interacting particle systems based on continuous observation of a single particle. In this regime, consistent estimation of the finite-particle log-likeliho…
stat.ME math.PR stat.ML
Observable Performance Does Not Fully Reflect System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint [6]
Jacques Raynal, Pierre Slangen, Jacques Margerit
In biomechanical systems, observable performance is often used as a proxy for underlying system organization. However, this assumption implicitly presumes a correspondence between output metrics and internal system state…
cs.LG q-bio.NC
Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries [7]
Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz, Stéphane Grieu
This paper deals with solving the 2D Helmholtz equation on non-parametric domains, leveraging a physics-informed neural operator network based on the DeepONet framework. We consider a 2D square domain with an inclusion o…
cs.LG
Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring [8]
Indraneil Paul, Glavaš Glavas, Iryna Gurevych
Reward models (RMs) have become an indispensable fixture of the language model (LM) post-training playbook, enabling policy alignment and test-time scaling. Research on the application of RMs in code generation, however,…
cs.SE cs.LG

🔐 Security & Crypto 15

Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift [1]
Adam Arthur, Christopher Schwartz
Public image diffusion models are now powerful enough that an attacker without the resources to train a tabular-specific generator may repurpose one off the shelf. This study tests that possibility directly. An unmodifie…
cs.CR
Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems [2]
Saeid Jamshidi, Foutse Khomh, Carol Fung, Kawser Wazed Nafi
The adoption of Internet of Things (IoT) systems at the network edge of smart architectures is increasing rapidly, intensifying the need for security mechanisms that are both adaptive and resource-efficient. In such envi…
cs.CR
STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity Attack [3]
Xutao Mao, Liangjie Zhao, Tao Liu, Xiang Zheng, Hongying Zan, Cong Wang
Red-teaming Vision-Language Models is essential for identifying vulnerabilities where adversarial image-text inputs trigger toxic outputs. Existing approaches treat image generation as a black box, returning only termina…
cs.CR
ML-Bench&Guard: Policy-Grounded Multilingual Safety Benchmark and Guardrail for Large Language Models [4]
Yunhan Zhao, Zhaorun Chen, Xingjun Ma, Yu-Gang Jiang, Bo Li
As Large Language Models (LLMs) are increasingly deployed in cross-linguistic contexts, ensuring safety in diverse regulatory and cultural environments has become a critical challenge. However, existing multilingual benc…
cs.CL cs.CR
Defense against Poisoning Attacks under Shuffle-DP [5]
Siyi Wang, Qiyao Luo, Yihua Hu, Lixu Wang, Quanqing Xu, Chuanhui Yang, Zhan Qin, Kui Ren, Wei Dong
Differential Privacy (DP) has become the gold standard for protecting individual privacy in data analytics, and the shuffle-DP model has attracted significant attention from both academia and industry due to its favorabl…
cs.CR cs.DB
KingsGuard: Enclave Data Protection Under Real-World TEE Vulnerabilities [6]
Saltanat Firdous Allaqband, Deepanjali S, Rohit Srinivas R G, Devashish Gosain, Chester Rebeiro
Trusted Execution Environments (TEEs) have emerged as a cornerstone for securing sensitive computations by providing isolated enclaves protected from untrusted software. However, their security guarantees are undermined …
cs.CR
Pick and Sort for Graphical Authentication [7]
Argianto Rahartomo, AmirHossein Jamshidipoor, Mohammad Ghafari
We propose a graphical authentication scheme that follows a simple ``Pick and Sort'' design in which users choose visual elements and arrange them within a grid. Both the number of selected elements and the grid size are…
cs.CR cs.HC
On local function, an algebraic approach [8]
Monoj Kumar Das, Shyamapada Modak
The paper discuss the limit point concept of a subset in a group via ideal of the power set ring. This idea along with anti-ideal give the topological structure in a group. Homomorphic images of both ideal and anti-ideal…
math.RA
On the action of Bender-Knuth generators of cactus group on the set of short semi-standard Young tableaux [9]
Igor Svyatnyy
In the article by Michael Chmutov, Max Glick and Pavel Pylyavskii \cite{Chmutov} the action of the cactus group $C_N$ on the set of semi-standard Young tableaux filled with the numbers from $1$ to $N$ was defined. Namely…
math.CO math.RT
Surface-Adsorbed Nanodroplets of Symmetric Diblock Copolymers Form Versatile and Stimuli-Responsive Nanostructures [10]
Artem Petrov, Guillermo A. Hernández-Mendoza, Alfredo Alexander-Katz
Block copolymers often create droplets when placed on a substrate. Such nanostructured droplets can be arranged into regular microstructured arrays, thereby forming hierarchically organized materials that can be used in …
cond-mat.soft
A Privacy-Preserving Approach to Conformance Checking [11]
Luis Rodríguez-Flores, Luciano García-Bañuelos, Abel Armas-Cervantes, Astrid Rivera-Partida
Conformance checking, one of the main process mining operations, aims to identify discrepancies between a process model and an event log. The model represents the expected behaviour, whereas the event log represents the …
cs.CR cs.SE
The structure of gauge invariant Gaussian quantum operations on finite Fermion systems [12]
Eric A. Carlen
Let ${\mathcal H}_1$ be a finite dimensional complex Hilbert space. Let $ψ\mapsto Z(ψ)$ be a canonical anti-commutation relations (CAR) field over ${\mathcal H}_1$ acting irreducibly on a Hilbert space ${\mathord{\mathsc…
math.FA quant-ph
Entanglement capacity of complex networks from quantum walks [13]
Pravy Prerana, Sascha Wald
Discrete-time quantum walks provide a natural framework for quantum transport on complex networks. On regular structures, coin-walker entanglement has been widely used to characterize quantum transport and to support qua…
quant-ph cond-mat.stat-mech
Topological protection of local quantum Fisher information [14]
Marcin Płodzień, Jan Chwedeńczuk
In many-body quantum systems, unitary dynamics generically delocalize locally encoded information, causing single-site metrological sensitivity to vanish. We analytically demonstrate that a topological phase can prevent …
quant-ph cond-mat.quant-gas
AdvNet: Revealing Performance Issues in Network Protocols by Generating Adversarial Environments [15]
Shehab Sarar Ahmed, William Sentosa, Yinjie Zhang, Yoav Lebendiker, Michael Shnaiderman, Tomer Gilad, Nathan H. Jay, Brighten Godfrey, Michael Schapira
Infrastructure protocols like Congestion Control (CC) seek to provide reliable performance across a wide range of Internet environments. Currently, protocol designers assess performance through hand-designed test cases o…
cs.NI

🔒 Zero Knowledge 3

Unsupervised Learning of Quantum Phase Transitions for Bose-Hubbard lattice systems [1]
Bihui Zhu
Characterizing quantum many-body phase structure is a major goal for quantum simulation. Here, we employ an unsupervised learning approach based on diffusion maps to learn phase transitions in bosonic lattice systems des…
physics.comp-ph
LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation [2]
Venkata Pushpak Teja Menta
A speaker encoder used in multilingual voice cloning should treat the same speaker identically regardless of which script the audio was uttered in. Off-the-shelf encoders do not, and the failure is accent-conditional. On…
cs.SD cs.CL eess.AS
Intrinsic \(q\)-Radial Vector Derivatives and Localized Fischer Decompositions on Radial Algebras [3]
Diana Barseghyan, Juan Bory-Reyes, Baruch Schneider
We construct an intrinsic q-deformation of the vector derivative on radial algebras. The construction is not obtained from a coordinate realization by replacing ordinary partial derivatives with one-variable Jackson deri…
math.CV

⚛️ Quantum 4

Statistical mechanics for Scrabble predicts strategy, entropy and language [1]
Olivier Witteveen, Marianne Bauer
The crossword-like patterns of tiles in Scrabble form connected graphs of occupied sites on a square lattice. We find the most structureless description that reproduces means and covariances observed in real Scrabble gam…
physics.bio-ph cond-mat.stat-mech
On the Schur multiplier of $p$-groups with abelianization $s$-elementary abelian [2]
Sumana Hatui, Tony Nixon Mavely, Sahanawaj Sabnam
Let $p$ be an odd prime. We describe a method to compute the Schur multiplier of finite $p$-groups $G$ of nilpotency class $2$ such that $G/[G,G]$ is isomorphic to direct product of copies of $\mathbb{Z}_{p^s}$ for $s \i…
math.GR
Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver [3]
Yi-Hua Lai, John P. T. Stenger, Gloria Bazargan, Igor V. Schweigert, Daniel Gunlycke
The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing units that is necessary in the conventional VQE algorithm. While CVQE offe…
quant-ph
High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure [4]
Peiliang Bai
High-dimensional vector autoregressive (VAR) models provide a flexible framework for characterizing dynamic dependence in multivariate spatio-temporal systems, but their unrestricted estimation becomes infeasible when mu…
stat.ME stat.AP

🛡️ AI Safety 1

Let ViT Speak: Generative Language-Image Pre-training [1]
Yan Fang, Mengcheng Lan, Zilong Huang, Weixian Lei, Yunqing Zhao, Yujie Zhong, Yingchen Yu, Qi She, Yao Zhao, Yunchao Wei
In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-training (GenLIP), a minimalist generative pretraining framework for Vision Transformers (ViTs) designed for multimodal large la…
cs.CV

🤖 AI Agents 1

Prop-Chromeleon: Adaptive Haptic Props in Mixed Reality through Generative Artificial Intelligence [1]
Haoyu Wang, Fengyuan Zhu, Bingjian Huang, Zhecheng Wang, Ludwig Sidenmark
Mixed Reality (MR) aims to blend digital and physical worlds, but the absence of haptic feedback often breaks visual-tactile consistency. We introduce Prop-Chromeleon, a MR system based on generative artificial intellige…
cs.HC

🌐 Web Findings

🎓 Google Scholar 6

Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [51]
Rising levels of atmospheric carbon dioxide (CO 2 ) and methane (CH 4 ) have sparked the interest of researchers in resolving this issue. Various technologies have been utilized such …
Google_Scholar
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [52]
This paper conducts systematic analysis of advancements in the field of artificial intelligence (AI) from the year 2010 onwards, by performing original quantitative analysis of Epoch AI notable AI mod…
Google_Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [53]
… The advent of large language models (LLMs) has marked a new … LLM usage. We further present the challenges associated with data bias, privacy, and the integration of these models …
Google_Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [54]
… in adversarial AI, automated threat intelligence, and AI-driven security orchestration, this … AI’s role in cybersecurity. Figure 1 shows the key areas where Artificial intelligence (AI) and …
Google_Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [55]
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to secure devices and...
Google_Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [56]
… in quantum-enhanced classical ML to native quantum algorithms and hybrid quantum-… It varies from applications in optimization, drug discovery, and quantum-secured communications, …
Google_Scholar

📰 Hacker News 1

The Algebra of Hallucination [51]
Hackernews

🤗 HuggingFace 14

Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling [51]
Joint audio-video generation models have shown that unified generation yields stronger cross-modal coherence than cascaded approaches. However, existing models couple modalities throughout denoising v…
Huggingface_Papers
Online Self-Calibration Against Hallucination in Vision-Language Models [52]
Large Vision-Language Models (LVLMs) often suffer from hallucinations, generating descriptions that include visual details absent from the input image. Recent preference alignment methods typically re…
Huggingface_Papers
Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization [53]
Distributed blackbox consensus optimization is a fundamental problem in multi-agent systems, where agents must improve a global objective using only local objective queries and limited neighbor commun…
Huggingface_Papers
LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation [54]
A speaker encoder used in multilingual voice cloning should treat the same speaker identically regardless of which script the audio was uttered in. Off-the-shelf encoders do not, and the failure is ac…
Huggingface_Papers
From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills [55]
LLM agents increasingly rely on reusable skills, capability packages that combine instructions, control flow, constraints, and tool calls. In most current agent systems, however, skills are still repr…
Huggingface_Papers
AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval [56]
Analog circuit design relies heavily on reusing existing intellectual property (IP), yet searching across heterogeneous representations such as SPICE netlists, schematics, and functional descriptions …
Huggingface_Papers
Learning while Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies [57]
Generalist robot policies increasingly benefit from large-scale pretraining, but offline data alone is insufficient for robust real-world deployment. Deployed robots encounter distribution shifts, lon…
Huggingface_Papers
Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring [58]
Reward models (RMs) have become an indispensable fixture of the language model (LM) post-training playbook, enabling policy alignment and test-time scaling. Research on the application of RMs in code …
Huggingface_Papers
UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors [59]
Recent progress has shown that video diffusion models (VDMs) can be repurposed for diverse multimodal graphics tasks. However, existing methods often train separate models for each problem setting, wh…
Huggingface_Papers
Map2World: Segment Map Conditioned Text to 3D World Generation [60]
3D world generation is essential for applications such as immersive content creation or autonomous driving simulation. Recent advances in 3D world generation have shown promising results; however, the…
Huggingface_Papers
End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer [61]
Autoregressive image modeling relies on visual tokenizers to compress images into compact latent representations. We design an end-to-end training pipeline that jointly optimizes reconstruction and ge…
Huggingface_Papers
Let ViT Speak: Generative Language-Image Pre-training [62]
In this paper, we present Generative Language-Image Pre-training (GenLIP), a minimalist generative pretraining framework for Vision Transformers (ViTs) designed for multimodal large language models (M…
Huggingface_Papers
Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost [63]
Commercial TTS systems produce near-native Indic audio, but the best open-source bases (Chatterbox, Indic Parler-TTS, IndicF5) trail them on measured phonological dimensions, and the most widely adopt…
Huggingface_Papers
FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing [64]
Fashion AI systems routinely encode the aesthetic logic of specific houses, editors, and historical moments without disclosing it. We present FASH-iCNN, a multimodal system trained on 87,547 Vogue run…
Huggingface_Papers

🦞 Lobste.rs 2

I accidentally made law enforcement shut down their stresser honeypot [51]
How I stumbled across a fake booter site run by international police, and how they panicked when I started digging
Lobsters
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It [52]
Edit April 2, 2026: I've been getting inbound interest from researchers wanting to run their own queries. The MCP integration I use for my own research lets you analyze live mobile telemetry continuou…
Lobsters

🔗 All Sources

  1. Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
  2. Can Coding Agents Reproduce Findings in Computational Materials Science?
  3. When RAG Chatbots Expose Their Backend: An Anonymized Case Study of Privacy and Security Risks in Patient-Facing Medical AI
  4. Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks
  5. Make Your LVLM KV Cache More Lightweight
  6. GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair
  7. Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media
  8. Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
  9. Position: agentic AI orchestration should be Bayes-consistent
  10. To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling
  11. HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
  12. Generating Statistical Charts with Validation-Driven LLM Workflows
  13. RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
  14. SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control
  15. Recursive Maximum Likelihood Estimation for Interacting Particle Systems using Virtual Particles
  16. Observable Performance Does Not Fully Reflect System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
  17. Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries
  18. Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring
  19. Posterior Augmented Flow Matching
  20. CustomDancer: Customized Dance Recommendation by Text-Dance Retrieval
  21. Reliability, Robustness, and Resilience Modeling for Surveillance System in Advanced Air Mobility Operations
  22. PEARLS: Two Distinct Populations of AGN Hosts Moving Between Star Formation and Quiescence
  23. Optimization of Weak Lensing Lightcone Simulations for Higher-Order Statistics in the LSST era
  24. W-boson helicity fractions in top decay as probes of dimension-6 and dimension-8 SMEFT operators
  25. $4\times3$ Point Correlation Functions in Galaxy Surveys: Impact of Baryonic Feedback
  26. When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models
  27. Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift
  28. Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems
  29. STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity Attack
  30. ML-Bench&Guard: Policy-Grounded Multilingual Safety Benchmark and Guardrail for Large Language Models
  31. Defense against Poisoning Attacks under Shuffle-DP
  32. KingsGuard: Enclave Data Protection Under Real-World TEE Vulnerabilities
  33. Pick and Sort for Graphical Authentication
  34. On local function, an algebraic approach
  35. On the action of Bender-Knuth generators of cactus group on the set of short semi-standard Young tableaux
  36. Surface-Adsorbed Nanodroplets of Symmetric Diblock Copolymers Form Versatile and Stimuli-Responsive Nanostructures
  1. A Privacy-Preserving Approach to Conformance Checking
  2. Unsupervised Learning of Quantum Phase Transitions for Bose-Hubbard lattice systems
  3. LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation
  4. Intrinsic \(q\)-Radial Vector Derivatives and Localized Fischer Decompositions on Radial Algebras
  5. Statistical mechanics for Scrabble predicts strategy, entropy and language
  6. On the Schur multiplier of $p$-groups with abelianization $s$-elementary abelian
  7. Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver
  8. High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
  9. The structure of gauge invariant Gaussian quantum operations on finite Fermion systems
  10. Entanglement capacity of complex networks from quantum walks
  11. Topological protection of local quantum Fisher information
  12. AdvNet: Revealing Performance Issues in Network Protocols by Generating Adversarial Environments
  13. Prop-Chromeleon: Adaptive Haptic Props in Mixed Reality through Generative Artificial Intelligence
  14. Let ViT Speak: Generative Language-Image Pre-training
  15. I accidentally made law enforcement shut down their stresser honeypot
  16. ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It
  17. Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling
  18. Online Self-Calibration Against Hallucination in Vision-Language Models
  19. Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization
  20. LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation
  21. From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills
  22. AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval
  23. Learning while Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies
  24. Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring
  25. UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors
  26. Map2World: Segment Map Conditioned Text to 3D World Generation
  27. End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
  28. Let ViT Speak: Generative Language-Image Pre-training
  29. Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost
  30. FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing
  31. Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements
  32. Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead
  33. Large language models (LLM) in computational social science: prospects, current state, and challenges
  34. Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
  35. Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices
  36. Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
  37. The Algebra of Hallucination
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