Carlos's Debrief

May 11, 2026 11:00
46ArXiv Papers
23Web Findings
69Total 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 11, 2026 11:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🧠 LLMs 10

EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction [1]
Wei Yu, Yunhang Qian
EmambaIR addresses the limitations of CNNs and ViTs in event-based image reconstruction by introducing an efficient visual state space model that achieves superior performance…
cs.CVcs.AI
VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering [2]
James Petullo et al.
VecCISC improves on Confidence-Informed Self-Consistency by using reasoning trace clustering and candidate answer selection to boost LLM inference-time reasoning accuracy across…
cs.AI
Flow-OPD: On-Policy Distillation for Flow Matching Models [3]
Zhen Fang et al.
Flow-OPD is the first unified post-training framework for flow matching text-to-image models, addressing reward sparsity and gradient interference through on-policy distillation…
cs.CVcs.AI
Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning [4]
Manish Bhattarai et al.
Rubric-Grounded RL uses an LLM judge to score responses along multiple task-specific criteria, providing partial-credit optimization signals that improve generalization over…
cs.AI
The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents [5]
Jiayuan Liu et al.
Context window expansion systematically degrades cooperation in LLM multi-agent social dilemmas across 18 of 28 model-game settings, a phenomenon called the memory curse linked to…
cs.CLcs.AI
CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL [6]
James Petullo, Nianwen Xue
CA-SQL addresses inadequate solution space exploration in Text-to-SQL tasks through complexity-aware compute budget allocation, improving performance on the challenging Bird-Bench…
cs.CLcs.AI
Fast Byte Latent Transformer [7]
Julie Kallini et al.
BLT Diffusion addresses the slow byte-by-byte generation bottleneck of byte-level language models through new training and generation techniques including auxiliary block-wise…
cs.CLcs.AI
SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation [8]
Tianfei Ren et al.
SCOPE addresses the Conceptual Rift in text-to-image generation by maintaining semantic commitments in a structured specification and conditionally invoking retrieval, reasoning,…
cs.CVcs.AI
Beyond Pairs: Your Language Model is Secretly Optimizing a Preference Graph [9]
Ning Liu et al.
This paper reveals that DPO training data often contains rich preference structure that pairwise comparisons discard, and proposes methods to exploit transitive preference graphs…
cs.LGcs.AI
MPD Router: Mask-aware Multi-expert Prior-regularized Dual-head Deferral Router [10]
Wenxin Zhan
MPD-squared-Router recasts glaucoma screening as constrained human-AI routing through a mask-aware multi-expert deferral framework that handles expert availability, workload…
cs.AI

📄 ArXiv Papers

⚙️ Machine Learning 20

Normalizing Trajectory Models [11]
Jiatao Gu et al.
NTM models each reverse diffusion step as an expressive conditional normalizing flow with exact likelihood training, enabling few-step generation without sacrificing the…
cs.CVcs.LG
Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping [12]
Maryam Maghsoudi, Shihab Shamma
A new approach to decoding imagined speech from MEG leverages richer listened speech recordings to bootstrap an imagined-to-listened mapping, using trained musicians to improve…
cs.LGeess.AS
GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs [13]
Peyman Baghershahi et al.
GRAPHLCP provides distribution-free uncertainty quantification for graph neural networks through structure-aware localized conformal prediction, improving over embedding-space…
cs.LG
A Note on Non-Negative L1-Approximating Polynomials [14]
Jane H. Lee et al.
Studies the existence of non-negative L1-approximating polynomials with respect to Gaussian distributions, establishing results between L1-approximation and sandwiching…
stat.MLcs.LG
Empirical Bayes Rebiasing [15]
Wanyi Ling et al.
An empirical Bayes rebiasing strategy that learns from data how much bias to remove from noisy estimates, constructing shorter calibrated intervals than standard debiasing…
stat.MEstat.ML
Reinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPs [16]
Gugan Thoppe et al.
First principled value-based RL algorithms for exponential-utility optimization in discounted MDPs, with contraction proofs in L-infinity and sup-log/Thompson metrics.
cs.LG
Inferring Asteroseismic Parameters from Short Observations Using Deep Learning [17]
Nipun Ghanghas et al.
Deep learning applied to TESS mission red giant observations enables precise stellar parameter inference (mass, radius, age) from short-duration light curves across the Milky Way.
astro-ph.SRstat.ML
Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids [18]
Mads Greisen Hojlund et al.
CUTS-GPR performs numerically exact Gaussian process regression in high dimensions with near-linear scaling in training data and low-order polynomial scaling in dimensionality.
cs.LG
Fermionic trace relations and supersymmetric indices at finite N [19]
Giorgos Eleftheriou, Ziming Ji, Sameer Murthy
Studies invariants of bosonic and fermionic matrices under U(N), revealing new trace relations in fermionic models arising from Grassmann matrix properties that differ…
hep-th
123D: Unifying Multi-Modal Autonomous Driving Data at Scale [20]
Daniel Dauner et al.
123D unifies fragmented autonomous driving datasets across different 2D/3D modalities, synchronization schemes, and formats into a single standardized framework for scalable…
cs.ROcs.CV
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling [21]
Tong Zheng et al.
AutoTTS proposes an environment-driven framework where researchers design environments rather than individual TTS heuristics, enabling automated discovery of test-time scaling…
cs.CL
Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering [22]
Shuhang Lin et al.
Conformal Path Reasoning applies conformal prediction to KGQA at the path level, providing statistical coverage guarantees that prior methods violate due to poor calibration…
cs.CL
Towards Highly-Constrained Human Motion Generation with Retrieval-Guided Diffusion [23]
Hanchao Liu et al.
Retrieval-guided diffusion noise optimization enables motion generators to satisfy highly constrained zero-shot goals including severe spatial obstacles and specified walking step…
cs.CV
Rapid phase ordering of Ising dynamics on Z^2 [24]
Reza Gheissari, Allan Sly
Extends the Fontes-Schonmann-Sidoravicius result on zero-temperature Ising dynamics absorption to the full low-temperature regime, proving rapid absorption from biased…
math.PRmath-ph
Vibe Econometrics and the Analysis Contract [25]
Lydia Ashton
Argues that AI-assisted vibe methodology democratizes the failure modes of methods whose validity depends on unverifiable assumptions, with structural differences from traditional…
econ.EMcs.HC
Undulating Conformal Boundaries in 3D Gravity [26]
Weam Abou Hamdan, Chawakorn Maneerat
Analytically determines conformal boundary geometries in 3D Einstein gravity with torus boundary across flat, de Sitter, and Anti-de Sitter spacetimes for varying cosmological…
hep-thgr-qc
Noise-Driven Free Boundaries In The Compressible Navier-Stokes Equations [27]
Gianmarco Del Sarto et al.
Studies stochastic free-boundary barotropic compressible Navier-Stokes equations where noise enters the kinematic boundary condition via Stratonovich stochastic flow.
math.AP
Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation [28]
Atsushi Nitanda et al.
SALD provides non-asymptotic convergence guarantees for tracking moving target distributions through KL contraction, with application to training-free guided generation.
cs.LG
Universal Structure of Graph Product Kernels [29]
Ian J. Leary, Nansen Petrosyan
Establishes a functorial refinement showing how set maps between vertex groups naturally induce homomorphisms between associated graph product kernels, with implications for…
math.GRmath.AT
Commutativity preserving mappings in Banach algebras [30]
M. Bressar et al.
Characterizes surjective additive mappings between Banach algebras satisfying commutativity conditions, showing they arise from sums of homomorphisms and anti-homomorphisms.
math.RAmath.FA

📄 ArXiv Papers

🔒 Security & Crypto 11

GLiGuard: Schema-Conditioned Classification for LLM Safeguard [31]
Urchade Zaratiana et al.
GLiGuard is a 0.3B-parameter schema-conditioned classifier that replaces large autoregressive guardrail models, providing low-latency multi-aspect content moderation for LLMs.
cs.CLcs.CR
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs [32]
Hanlin Cai et al.
Graph-based detection and mitigation of adversarial model manipulation threats in federated fine-tuning of LLMs where malicious participants upload corrupted local updates.
cs.LGcs.CR
Longitudinal Analyses of SAST Tools: A CodeQL Case Study [33]
Jean-Charles Noirot Ferrand et al.
Largest academic study of CodeQL across open-source repositories over time, introducing novel methods for evaluating SAST tool efficacy through longitudinal measurements.
cs.CR
Zero-determinant Strategy for Moving Target Defense [34]
Zhaoyang Cheng et al.
ZD strategies provide tractable Moving Target Defense computation in security games where strong Stackelberg equilibrium is computationally infeasible.
cs.GTcs.CR
CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios [35]
Taein Lim et al.
CyBiasBench reveals that LLM agents exhibit distinct attack-selection biases regardless of prompt variations, introducing a 630-session benchmark to quantify this phenomenon.
cs.CRcs.AI
Can I Check What I Designed? Mapping Security Design DSLs to Code Analyzers [36]
Sven Peldszus et al.
Addresses the abstraction gap between security design specified in DSLs and implementation-level code analysis, showing even security experts lack complete understanding of this…
cs.CRcs.SE
GRASP: Graph-Based Anomaly Detection Through Self-Supervised Classification [37]
Robin Buchta et al.
GRASP uses self-supervised classification on provenance graphs for APT detection, moving beyond predefined thresholds to detect arbitrary anomalous behavior.
cs.CRcs.LG
Differentially Private Auditing Under Strategic Response [38]
Florian A. D. Burnat
Models privacy-constrained AI auditing as a bilevel Stackelberg game where strategic developers can reallocate mitigation efforts in response to the auditor's DP budget allocation.
cs.GTcs.CR
A Deterministic Cryptographic Prime Generation Chain over Monogenic Cubic Number Fields [39]
Anuj Jakhar, Ravi Kalwaniya
Direct method to construct new cryptographic primes from seed primes using the structure of monogenic pure cubic fields, beyond restrictive forms like Mersenne or Proth primes.
math.NT
A Unified Open-Set Framework for Scalable PUF-Based Authentication of Heterogeneous IoT Devices [40]
Xin Wang et al.
Bridges PUF interoperability bottleneck across heterogeneous IoT devices with distinct challenge-response spaces through a unified open-set authentication framework.
cs.CR
A Complexity Dichotomy for Quantum Invariants of 3-Manifolds [41]
Cesar Galindo
Proves exact complexity dichotomies: computing Reshetikhin-Turaev invariants is in FP exactly for pointed modular categories, otherwise #P-hard.
math.QA

📄 ArXiv Papers

⚛️ Quantum 4

Unlocking vacuum entanglement [42]
Andrew Steane, Haru Ishizaka
Studies entanglement structure in the harmonic chain ground state, showing that measuring central modes and communicating results to outer systems greatly enhances their…
quant-ph
Advances in quantum learning theory with bosonic systems [43]
Francesco Anna Mele
Reviews quantum learning theory for continuous-variable (bosonic/quantum-optical) systems, extending the theory previously developed only for finite-dimensional quantum systems.
quant-ph
Chase-like Decoding: Test Pattern Design and Performance Analysis [44]
Tim Janz et al.
Evaluates performance of different test pattern sets for Chase-like soft-input decoding of algebraic codes using order statistics and Monte Carlo methods.
cs.IT
Multiscale Structure of Eigenstate Thermalization [45]
Pavel Orlov, Rustam Sharipov, Enej Ilievski
Demonstrates that eigenstate thermalization matrix element distributions depend on ensemble properties in addition to macrostate parameters, departing from standard ETH…
cond-mat.stat-mechhep-th

📄 ArXiv Papers

🛡️ AI Safety 1

Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering [46]
Jerry Jiang et al.
Proxy3D addresses spatial consistency failures in VLMs by learning efficient 3D geometric representations through semantic clustering and alignment, improving upon 2D…
cs.CV

🌐 Web Findings

🌐 Lobste.rs 4

Running my agents in a VPS [47]
How to isolate agent harnesses in a VPS and interact with them through GitHub, VSCode and SSH.
Lobste.rs
Mythos 'Discovered' a CVE Already in Its Training Data - and That's Still Worrying [48]
Anthropic claimed Claude Mythos achieved the first remote kernel exploit discovered by an AI, but investigation found a 20-year-old bug that was already in the training data.
Lobste.rs
Incident Report: CVE-2024-YIKES [49]
Satirical incident report describing a 73-hour security breach where severity escalated from Critical to Catastrophic to Somehow Fine, affecting essentially everything.
Lobste.rs
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State [50]
Reverse-engineering how Cloudflare intercepts React state in ChatGPT's input field for content safety scanning, with details on MCP integration for mobile telemetry research.
Lobste.rs

🌐 HuggingFace 13

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation [51]
TS-DFM replaces blind stochastic jumps with guided navigation via an energy compass in discrete flow matching distillation, achieving 128x speedup while reducing perplexity by 32%.
HuggingFace
Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision [52]
Delta-Adapter learns visual transformations from a single source-target exemplar pair by extracting a semantic delta via pretrained vision encoder, requiring no textual guidance.
HuggingFace
Discovering Reinforcement Learning Interfaces with Large Language Models [53]
LIMEN uses LLM-guided evolutionary search to automatically discover RL task interfaces from raw simulator state, jointly optimizing observations and reward functions.
HuggingFace
What if AI systems weren't chatbots? [54]
Critiques the chatbot paradigm as reshaping work, learning, and decision-making, arguing it prioritizes conversational generality over domain specificity and accountability.
HuggingFace
Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning [55]
RL's benefit for LLM reasoning is sparse corrections at high-entropy decision points; ReasonMaxxer applies contrastive loss only at those positions, matching full RL without…
HuggingFace
SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents [56]
SkCC introduces SkIR intermediate representation for portable skill deployment across agent frameworks with compile-time security enforcement and sub-10ms latency.
HuggingFace
CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations [57]
CGM-JEPA predicts masked latent representations for CGM data abstraction across modalities, ranking first or second on AUROC across three generalization regimes.
HuggingFace
MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning [58]
MatryoshkaLoRA learns hierarchical LoRA representations via a diagonal matrix P, supporting dynamic rank selection with minimal accuracy degradation.
HuggingFace
PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors [59]
PrefixGuard induces deterministic typed-step adapters from raw agent traces for online failure-warning during execution, reaching 0.900 AUPRC on WebArena.
HuggingFace
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs [60]
SAEgis uses sparse autoencoders in pretrained VLMs to capture attack-relevant signals in sparse latent features, enabling adversarial perturbation detection without additional…
HuggingFace
DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform [61]
DTap spans 14 real-world domains and 50+ environments for AI agent red-teaming, with DTap-Red autonomously discovering effective attack strategies.
HuggingFace
SCOPE: Structured Decomposition and Conditional Skill Orchestration [62]
SCOPE maintains semantic commitments in evolving specifications and conditionally invokes skills around unresolved commitments, achieving 0.60 Entity-Gated Intent Pass Rate.
HuggingFace
What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders [63]
PAE shapes latent manifolds via refined priors and perturbation regularization for diffusion models, achieving gFID of 1.03 on ImageNet 256x256.
HuggingFace

🌐 Google Scholar 6

Catalyst breakthroughs in methane dry reforming: Employing machine learning [64]
Machine learning applied to catalyst design for methane dry reforming to convert CO2 and methane greenhouse gases into useful chemical products.
Google Scholar
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [65]
Systematic analysis of AI from 2010 onwards showing industry overtook academia in releasing notable AI models from 2014, with deep learning spikes corresponding to funding…
Google Scholar
Large language models in computational social science: prospects, current state, and challenges [66]
Comprehensive overview of LLM applications in computational social science including social phenomena analysis, challenges of data bias and privacy, and methodology integration.
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive [67]
Review covering adversarial AI, automated threat intelligence, and AI-driven security orchestration, outlining key areas where AI is transforming security operations.
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [68]
Post-quantum cryptography solutions for securing IoT devices and user privacy against quantum computer attacks as traditional cryptographic methods become vulnerable.
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing [69]
Review of quantum-enhanced classical ML to native quantum algorithms with applications in optimization, drug discovery, and quantum-secured communications.
Google Scholar

🔗 All Sources

  1. EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction (arXiv)
  2. VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering (arXiv)
  3. Flow-OPD: On-Policy Distillation for Flow Matching Models (arXiv)
  4. Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning (arXiv)
  5. The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents (arXiv)
  6. CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL (arXiv)
  7. Fast Byte Latent Transformer (arXiv)
  8. SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation (arXiv)
  9. Beyond Pairs: Your Language Model is Secretly Optimizing a Preference Graph (arXiv)
  10. MPD Router: Mask-aware Multi-expert Prior-regularized Dual-head Deferral Router (arXiv)
  11. Normalizing Trajectory Models (arXiv)
  12. Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping (arXiv)
  13. GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs (arXiv)
  14. A Note on Non-Negative L1-Approximating Polynomials (arXiv)
  15. Empirical Bayes Rebiasing (arXiv)
  16. Reinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPs (arXiv)
  17. Inferring Asteroseismic Parameters from Short Observations Using Deep Learning (arXiv)
  18. Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids (arXiv)
  19. Fermionic trace relations and supersymmetric indices at finite N (arXiv)
  20. 123D: Unifying Multi-Modal Autonomous Driving Data at Scale (arXiv)
  21. LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling (arXiv)
  22. Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering (arXiv)
  23. Towards Highly-Constrained Human Motion Generation with Retrieval-Guided Diffusion (arXiv)
  24. Rapid phase ordering of Ising dynamics on Z^2 (arXiv)
  25. Vibe Econometrics and the Analysis Contract (arXiv)
  26. Undulating Conformal Boundaries in 3D Gravity (arXiv)
  27. Noise-Driven Free Boundaries In The Compressible Navier-Stokes Equations (arXiv)
  28. Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation (arXiv)
  29. Universal Structure of Graph Product Kernels (arXiv)
  30. Commutativity preserving mappings in Banach algebras (arXiv)
  31. GLiGuard: Schema-Conditioned Classification for LLM Safeguard (arXiv)
  32. Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs (arXiv)
  33. Longitudinal Analyses of SAST Tools: A CodeQL Case Study (arXiv)
  34. Zero-determinant Strategy for Moving Target Defense (arXiv)
  1. CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios (arXiv)
  2. Can I Check What I Designed? Mapping Security Design DSLs to Code Analyzers (arXiv)
  3. GRASP: Graph-Based Anomaly Detection Through Self-Supervised Classification (arXiv)
  4. Differentially Private Auditing Under Strategic Response (arXiv)
  5. A Deterministic Cryptographic Prime Generation Chain over Monogenic Cubic Number Fields (arXiv)
  6. A Unified Open-Set Framework for Scalable PUF-Based Authentication of Heterogeneous IoT Devices (arXiv)
  7. A Complexity Dichotomy for Quantum Invariants of 3-Manifolds (arXiv)
  8. Unlocking vacuum entanglement (arXiv)
  9. Advances in quantum learning theory with bosonic systems (arXiv)
  10. Chase-like Decoding: Test Pattern Design and Performance Analysis (arXiv)
  11. Multiscale Structure of Eigenstate Thermalization (arXiv)
  12. Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering (arXiv)
  13. Running my agents in a VPS (Lobste.rs)
  14. Mythos 'Discovered' a CVE Already in Its Training Data - and That's Still Worrying (Lobste.rs)
  15. Incident Report: CVE-2024-YIKES (Lobste.rs)
  16. ChatGPT Won't Let You Type Until Cloudflare Reads Your React State (Lobste.rs)
  17. Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation (HuggingFace)
  18. Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision (HuggingFace)
  19. Discovering Reinforcement Learning Interfaces with Large Language Models (HuggingFace)
  20. What if AI systems weren't chatbots? (HuggingFace)
  21. Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning (HuggingFace)
  22. SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents (HuggingFace)
  23. CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations (HuggingFace)
  24. MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning (HuggingFace)
  25. PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors (HuggingFace)
  26. Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs (HuggingFace)
  27. DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform (HuggingFace)
  28. SCOPE: Structured Decomposition and Conditional Skill Orchestration (HuggingFace)
  29. What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders (HuggingFace)
  30. Catalyst breakthroughs in methane dry reforming: Employing machine learning (Google Scholar)
  31. Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead (Google Scholar)
  32. Large language models in computational social science: prospects, current state, and challenges (Google Scholar)
  33. Artificial intelligence and machine learning in cybersecurity: a deep dive (Google Scholar)
  34. Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices (Google Scholar)
  35. Quantum machine learning: A comprehensive review of integrating AI with quantum computing (Google Scholar)
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