Carlos's Debrief

May 18, 2026 04:00
0ArXiv Papers
34Web Findings
34Total 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 18, 2026 04:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 HuggingFace Papers

🤖 LLMs 14

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence [5]
Dongsheng Ma, Jiayu Li, Zhengren Wang, Yijie Wang, Jiahao Kong
Multimodal Large Language Models (MLLMs) have significantly advanced document understanding, yet current Doc-VQA evaluations score only the final answer and leave the supporting evidence unchecked. This answer-only…
huggingface_papers
Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding [6]
Taewon Yun, Jisu Shin, Jeonghwan Choi, Seunghwan Bang, Hwanjun Song
Distilling large reasoning models is essential for making Long-CoT reasoning practical, as full-scale inference remains computationally prohibitive. Existing curation-based approaches select complete reasoning traces…
huggingface_papers
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation [7]
Yuchen Cai, Ding Cao, Liang Lin, Chunxi Luo, Xin Xu
On-policy distillation (OPD) has emerged as an efficient post-training paradigm for large language models. However, existing studies largely attribute this advantage to denser and more stable supervision, while the…
huggingface_papers
Unlocking Dense Metric Depth Estimation in VLMs [11]
Hanxun Yu, Xuan Qu, Yuxin Wang, Jianke Zhu, Lei ke
Vision-Language Models (VLMs) excel at 2D tasks such as grounding and captioning, yet remain limited in 3D understanding. A key limitation is their text-only supervision paradigm, which under-constrains fine-grained…
huggingface_papers
FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization [12]
Quanjian Song, Yefeng Shen, Mengting Chen, Hao Sun, Jinsong Lan
Human-centric video customization, particularly at the garment level, has shown significant commercial value. However, existing approaches cannot support low-latency and interactive garment control, which is crucial for…
huggingface_papers
Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards [13]
Mengjie Ren, Jie Lou, Boxi Cao, Xueru Wen, Hongyu Lin
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as an effective paradigm for improving the reasoning capabilities of large language models. However, RLVR training is often hindered by sparse binary…
huggingface_papers
Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR [16]
Chanuk Lee, Sangwoo Park, Minki Kang, Sung Ju Hwang
Reinforcement learning with verifiable rewards (RLVR) has emerged as a scalable paradigm for improving the reasoning capabilities of large language models. However, its effectiveness is fundamentally limited by…
huggingface_papers
PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control [19]
Jingxuan Wei, Xi Bai, Shan Liu, Caijun Jia, Zheng Sun
Large vision-language models have significantly advanced GUI agents, enabling executable interaction across web, mobile, and desktop interfaces. Yet these gains largely rely on a forgiving region-tolerant paradigm,…
huggingface_papers
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution [20]
Han Li, Jinyu Tian, Rili Feng, Yuqiao Du, Chong Zheng
Large language models (LLMs) still struggle with the rigorous reasoning demands of hard competitive programming. While recent multi-agent frameworks attempt to bridge this reliability gap, they remain fundamentally…
huggingface_papers
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design [21]
Alberto Pepe, Chien-Yu Lin, Despoina Magka, Bilge Acun, Yannan Nellie Wu
Toward recursive self-improvement, we investigate LLM agents autonomously designing foundation models beyond standard Transformers. We introduce a dual-framework approach: AIRA-Compose for high-level architecture…
huggingface_papers
Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization [22]
Xiaoxuan He, Siming Fu, Zeyue Xue, Weijie Wang, Ruizhe He
Group Relative Policy Optimization has emerged as essential for aligning video diffusion models with human preferences, but faces a critical computational bottleneck: training a 14B parametered model typically demands…
huggingface_papers
InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation [23]
Yang Yue, Fangyun Wei, Tianyu He, Jinjing Zhao, Zanlin Ni
Text and faces are among the most perceptually salient and practically important patterns in visual generation, yet they remain challenging for autoregressive generators built on discrete tokenization. A central…
huggingface_papers
Look Before You Leap: Autonomous Exploration for LLM Agents [24]
Ziang Ye, Wentao Shi, Yuxin Liu, Yu Wang, Zhengzhou Cai
Large language model based agents often fail in unfamiliar environments due to premature exploitation: a tendency to act on prior knowledge before acquiring sufficient environment-specific information. We identify…
huggingface_papers
DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules [25]
Devin Yasith De Silva, Dhaval Patel, Christodoulos Constantinides, Shuxin Lin, Nianjun Zhou
Monitoring complex industrial assets relies on engineer-authored symbolic rules that trigger based on sensor conditions and prompt technicians to perform corrective actions. The bottleneck is not detection but response:…
huggingface_papers

🧮 Machine Learning 1

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts [26]
Tao Zhong, Dongzhe Zheng, Christine Allen-Blanchette
Sparse Mixture-of-Experts (MoE) layers route tokens through a handful of experts, and learning-free compression of these layers reduces inference cost without retraining. A subtle obstruction blocks every existing…
huggingface_papers

🕹️ AI Agents & Reasoning 4

From Plans to Pixels: Learning to Plan and Orchestrate for Open-Ended Image Editing [9]
Anirudh Sundara Rajan, Krishna Kumar Singh, Yong Jae Lee
Modern image editing models produce realistic results but struggle with abstract, multi step instructions (e.g., ``make this advertisement more vegetarian-friendly''). Prior agent based methods decompose such tasks but…
huggingface_papers
WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes [15]
Jichen Hu, Jiawei Guo, Jiazhong Cen, Chen Yang, Sikuang Li
Recent 3D world modeling systems based on generative scene synthesis, such as Marble, can create coherent and explorable 3D environments, yet their outputs are typically static monolithic assets with limited editability…
huggingface_papers
MMSkills: Towards Multimodal Skills for General Visual Agents [17]
Kangning Zhang, Shuai Shao, Qingyao Li, Jianghao Lin, Lingyue Fu
Reusable skills have become a core substrate for improving agent capabilities, yet most existing skill packages encode reusable behavior primarily as textual prompts, executable code, or learned routines. For visual…
huggingface_papers
ReactiveGWM: Steering NPC in Reactive Game World Models [27]
Zeqing Wang, Danze Chen, Zhaohu Xing, Zizhao Tong, Yinhan Zhang
Current game world models simulate environments from a subjective, player-centric perspective. However, by treating the Non-Player Character (NPC) merely as background pixels, these models cannot capture interactions…
huggingface_papers

🦾 Robotics & Embodied AI 3

PhysBrain 1.0 Technical Report [8]
Shijie Lian, Bin Yu, Xiaopeng Lin, Changti Wu, Hang Yuan
Vision-language-action models have advanced rapidly, but robot trajectories alone provide limited coverage for learning broad physical understanding. PhysBrain 1.0 studies a complementary route: converting large-scale…
huggingface_papers
OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation [10]
Yiren Song, Xiyao Deng, Pei Yang, Yihan Wang, Mike Zheng Shou
Cross-embodiment video generation aims to transfer motions across different humanoid embodiments, such as human-to-robot and robot-to-robot, enabling scalable data generation for embodied intelligence. A major challenge…
huggingface_papers
DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo [14]
Hanwen Wang, Weizhi Zhao, Xiangyu Wang, Siyuan Huang, He Lin
Achieving human-level manipulation requires dexterous robotic hands capable of complex object interactions. Advancing such capabilities further demands standardized benchmarks for systematic evaluation. However,…
huggingface_papers

🎬 Video, Avatar & Diffusion 1

FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction [18]
Thuan Hoang Nguyen, Jiahao Luo, Yinyu Nie, Hao Li, Gordon Guocheng Qian
Avatar reconstruction has traditionally relied on per-subject optimization that requires hours of computation or on expensive preprocessing that limits scalability. We introduce FFAvatar, a generalizable feed-forward…
huggingface_papers

🔗 Lobste.rs

💬 Lobste.rs 4

Review: Sylve on FreeBSD [1]
News and feature lists of Linux and BSD distributions.
lobsters
Researcher says Microsoft secretly built a backdoor into BitLocker [2]
Security researcher claims Microsoft intentionally built a backdoor into BitLocker encryption, raising concerns about software integrity and government encryption mandates.
lobsters
The First CVE Wave: Signs That AI-Assisted Vulnerability Discovery Is Reshaping Disclosure Volumes [3]
Public CVE disclosure volumes are surging across major software suppliers and open source projects, and the evidence increasingly points to AI-assisted vulnerability discovery as the driving force.
lobsters
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It [4]
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 continuously collected from…
lobsters

🎓 Google Scholar

📚 Google Scholar 7

Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [28]
Review of machine learning applications in catalyst design for methane dry reforming, a key process for converting greenhouse gases into useful synthesis gas.
google_scholar
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [29]
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 models dataset and…
google_scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [30]
Systematic analysis of how large language models are being applied in computational social science research, covering opportunities, current limitations, and data privacy challenges.
google_scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [31]
Deep dive into state-of-the-art AI and machine learning techniques for cybersecurity applications, covering adversarial AI, automated threat intelligence, and AI-driven security orchestration.
google_scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [32]
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 [33]
Comprehensive review of quantum machine learning, covering integration of AI with quantum computing from quantum-enhanced classical ML to native quantum algorithms and applications in optimization and drug discovery.
google_scholar
Leveraging blockchain and smart contracts to combat greenwashing in sustainable development [34]
Examines how blockchain and smart contract technology can combat greenwashing in sustainable development by providing transparent, immutable verification of environmental claims.
google_scholar

🔗 All Sources

  1. [1] Review: Sylve on FreeBSD lobsters
  2. [2] Researcher says Microsoft secretly built a backdoor into BitLocker lobsters
  3. [3] The First CVE Wave: Signs That AI-Assisted Vulnerability Discovery Is Reshaping Disclosure Volumes lobsters
  4. [4] ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It lobsters
  5. [5] CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence huggingface_papers
  6. [6] Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding huggingface_papers
  7. [7] Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation huggingface_papers
  8. [8] PhysBrain 1.0 Technical Report huggingface_papers
  9. [9] From Plans to Pixels: Learning to Plan and Orchestrate for Open-Ended Image Editing huggingface_papers
  10. [10] OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation huggingface_papers
  11. [11] Unlocking Dense Metric Depth Estimation in VLMs huggingface_papers
  12. [12] FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization huggingface_papers
  13. [13] Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards huggingface_papers
  14. [14] DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo huggingface_papers
  15. [15] WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes huggingface_papers
  16. [16] Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR huggingface_papers
  17. [17] MMSkills: Towards Multimodal Skills for General Visual Agents huggingface_papers
  1. [18] FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction huggingface_papers
  2. [19] PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control huggingface_papers
  3. [20] Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution huggingface_papers
  4. [21] Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design huggingface_papers
  5. [22] Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization huggingface_papers
  6. [23] InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation huggingface_papers
  7. [24] Look Before You Leap: Autonomous Exploration for LLM Agents huggingface_papers
  8. [25] DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules huggingface_papers
  9. [26] HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts huggingface_papers
  10. [27] ReactiveGWM: Steering NPC in Reactive Game World Models huggingface_papers
  11. [28] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements google_scholar
  12. [29] Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead google_scholar
  13. [30] Large language models (LLM) in computational social science: prospects, current state, and challenges google_scholar
  14. [31] Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms google_scholar
  15. [32] Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices google_scholar
  16. [33] Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements google_scholar
  17. [34] Leveraging blockchain and smart contracts to combat greenwashing in sustainable development google_scholar
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