newsIEEE Spectrum AITrust 88 · LabPublished 1mo agoLive · 1mo ago

IEEE Rolls Out Large Language Models Virtual Training Course

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines that can orchestrate complex tasks including identifying vulnerabilities

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paperNuclearQAv2: A Structured Benchmark for Evaluating Domain-Science Competence in Large Language Models repoagent-tools companyLattice Labs repoengineering87/llm-atlas repovlm-starter

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paperLMs as Task-Specific Knowledge Bases: An Interpretability Analysis repopisanuw/ltms paperSingle and Multi Truth Data Fusion using Large Language Models paperMechanism-Driven Monitors for Preemptive Detection of LLM Training Instability paperFrom Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond paperHierarchical Experimentalist Agents paperDynamo: Dynamic Skill-Tool Evolution for Vision-Language Agents paperLinguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing paperWords Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection paperCalibration, Not Compilation: Detecting and Repairing Misspecified Probabilistic Programs Written by Language Models paperLearning from Failure: Inference-Time Self-Improvement for Computer-Use Agents paperWhen the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue paperTeam MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics paperAutoTrainess: Teaching Language Models to Improve Language Models Autonomously paperAutomating Cause-Effect Specification with Knowledge Graphs and Large Language Models paperA Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents paperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems paperSurrogate Fidelity: When Can Open LLMs Explain Closed Ones?paperSelf-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA paperWhen LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors paperGenerative Skill Composition for LLM Agents paperThe Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology paperMessage Passing Enables Efficient Reasoning paperAgentic generation of verifiable rules for deterministic, self-expanding reaction classification paperUnderstanding Large Language Models paperConversable Complexity: Agentic LLM Collectives as Interpretable Substrates paperAutoMem: Automated Learning of Memory as a Cognitive Skill paperSkills Are Not Islands: Measuring Dependency and Risk in Agent Skill Supply Chains repoedefbo1/a-hi repoolonok69/LLM_Notebooks repoaallan/vera repovllm-project/vllm repovitali87/code-graph-rag repoiree-org/iree repoAI-Hypercomputer/maxtext repochrisliu298/awesome-llm-unlearning repojordanhubbard/nanolang repohuhusmang/Awesome-LLMs-for-Vulnerability-Detection paperChallenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages paperGrounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics paperDecompRL: Solving Harder Problems by Learning Modular Code Generation paperFast Multi-dimensional Refusal Subspaces via RFM-AGOP paperNeuron-Aware Data Selection for Annotation-Free LLM Self-Distillation paperDemoPSD: Disagreement-Modulated Policy Self-Distillation paperOnline Safety Monitoring for LLMs repoyegor256/prompt repolabring/FastGPT repoKerberosClaw/kc_ai_skills repoModelTC/LightLLM repozjunlp/EasyEdit repo11divyansh/OxyJen repoVectorPeak/LLM-Wiki repoNPC-Worldwide/npcpy repoamitshekhariitbhu/build-your-own-x-machine-learning repoludwig-ai/ludwig repoverbio-labs/llm-ledger repoNirDiamant/Prompt_Engineering repol_sim/slapsci repoEamon2009/Quadtrix.cpp repohummat/paperpipe repodata_ingenieur/s10-machine-learning-supervise repodanvoronov/CodeWithLLM-Updates repollmsresearch/llm-flashcards repoPacificAI/langtest paperLLM-Driven CI-CD Workflow Intelligence for Cyber Systems Engineering reporaphaelmansuy/code2prompt repoKennispuntTwente/tidyprompt paperImproving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design paperAutomated Compliance Mapping in Cloud Security with Domain-Adapted Sentence Transformers paperDT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail repoatomicstrata/llm-wiki-compiler paperUltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing repoyubol-bobo/Awesome-Multi-Turn-LLMs repoYog-Sotho/LLM-fine-tuner paperThink Through a Bottleneck: Hourglass Reasoning for Rigorous Induction repovulnerability-lookup/VulnTrain repozircote/rlm-rs repokennethlaw325/awesome-llm-knowledge-systems repofundamental-research-labs/langdag repomachinelearningZH/simply-simplify-language repodlidstrom/NeuralNetworkInAllLangs repofkkarakurt/Nerve repoCyberSunil/LLMVault repoRiccardoBiosas/awesome-MLSecOps repoidvcorreia/engineering-automations paperCRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data paperLearning from Synthetic Data without Model Collapse in Iterative Instruction Tuning paperCan We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering repohe-yufeng/FindJobs-Agent paperWhat, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations reporunpod-workers/worker-vllm repoNeverSight/NeverC repoFusionBrainLab/gigaevo-core

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repoNeverSight/NeverC repochrisliu298/awesome-llm-unlearning repoidvcorreia/engineering-automations paperAutomated Compliance Mapping in Cloud Security with Domain-Adapted Sentence Transformers paperTeam MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics paperDynamo: Dynamic Skill-Tool Evolution for Vision-Language Agents paperImproving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design repo11divyansh/OxyJen paperWords Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection repozircote/rlm-rs paperLMs as Task-Specific Knowledge Bases: An Interpretability Analysis paperDemoPSD: Disagreement-Modulated Policy Self-Distillation paperFast Multi-dimensional Refusal Subspaces via RFM-AGOP paperSelf-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA paperDT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail reporunpod-workers/worker-vllm paperA Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents repodata_ingenieur/s10-machine-learning-supervise repovllm-project/vllm paperDecompRL: Solving Harder Problems by Learning Modular Code Generation repokennethlaw325/awesome-llm-knowledge-systems repoolonok69/LLM_Notebooks repoiree-org/iree repoengineering87/llm-atlas paperSingle and Multi Truth Data Fusion using Large Language Models repoCyberSunil/LLMVault paperLinguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing repoludwig-ai/ludwig paperGenerative Skill Composition for LLM Agents paperMessage Passing Enables Efficient Reasoning paperUltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing reporaphaelmansuy/code2prompt repohe-yufeng/FindJobs-Agent repoFusionBrainLab/gigaevo-core repovitali87/code-graph-rag paperMechanism-Driven Monitors for Preemptive Detection of LLM Training Instability paperAutoMem: Automated Learning of Memory as a Cognitive Skill repollmsresearch/llm-flashcards repoedefbo1/a-hi repol_sim/slapsci repoYog-Sotho/LLM-fine-tuner paperChallenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages repopisanuw/ltms paperOnline Safety Monitoring for LLMs paperCRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data repoKennispuntTwente/tidyprompt repoatomicstrata/llm-wiki-compiler repozjunlp/EasyEdit paperLearning from Failure: Inference-Time Self-Improvement for Computer-Use Agents repomachinelearningZH/simply-simplify-language paperThink Through a Bottleneck: Hourglass Reasoning for Rigorous Induction paperSurrogate Fidelity: When Can Open LLMs Explain Closed Ones?repoyubol-bobo/Awesome-Multi-Turn-LLMs paperLearning from Synthetic Data without Model Collapse in Iterative Instruction Tuning companyLattice Labs repohuhusmang/Awesome-LLMs-for-Vulnerability-Detection paperUnderstanding Large Language Models paperGrounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics paperConversable Complexity: Agentic LLM Collectives as Interpretable Substrates repoModelTC/LightLLM repoEamon2009/Quadtrix.cpp repoamitshekhariitbhu/build-your-own-x-machine-learning repofundamental-research-labs/langdag repodanvoronov/CodeWithLLM-Updates paperLLM-Driven CI-CD Workflow Intelligence for Cyber Systems Engineering paperWhat, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations repoyegor256/prompt repoNirDiamant/Prompt_Engineering paperHierarchical Experimentalist Agents paperAutoTrainess: Teaching Language Models to Improve Language Models Autonomously paperNeuron-Aware Data Selection for Annotation-Free LLM Self-Distillation paperSkills Are Not Islands: Measuring Dependency and Risk in Agent Skill Supply Chains repoVectorPeak/LLM-Wiki paperThe Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology repodlidstrom/NeuralNetworkInAllLangs paperAutomating Cause-Effect Specification with Knowledge Graphs and Large Language Models repoPacificAI/langtest paperNuclearQAv2: A Structured Benchmark for Evaluating Domain-Science Competence in Large Language Models repoRiccardoBiosas/awesome-MLSecOps repofkkarakurt/Nerve repojordanhubbard/nanolang paperCalibration, Not Compilation: Detecting and Repairing Misspecified Probabilistic Programs Written by Language Models paperWhen LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors repovulnerability-lookup/VulnTrain paperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems repoAI-Hypercomputer/maxtext repoverbio-labs/llm-ledger paperFrom Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond paperWhen the Database Fails: Prompting LLM 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