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datawhalechina/hello-agents
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 59%Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline →
“Fuzzy title match (0.73): “Can Coding Agents Build Robust Baselines? A Skill-Based Appr” ≈ “datawhalechina/hello-agents””
- FuzzySimilar title/name (fuzzy) · 59%Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit →
“Fuzzy title match (0.73): “Persona-Execution Separation: An Architecture Pattern for Ev” ≈ “datawhalechina/hello-agents””
- FuzzySimilar title/name (fuzzy) · 59%TraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause Attribution →
“Fuzzy title match (0.73): “TraceBench: Controlled Evaluation of LLM Agents for Time-Ser” ≈ “datawhalechina/hello-agents””
- FuzzySimilar title/name (fuzzy) · 59%Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents →
“Fuzzy title match (0.73): “Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training ” ≈ “datawhalechina/hello-agents””
- FuzzySimilar title/name (fuzzy) · 59%LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment →
“Fuzzy title match (0.73): “LLM-Based Agents for Software and Systems Security: Approach” ≈ “datawhalechina/hello-agents””
- FuzzySimilar title/name (fuzzy) · 59%SwarmWorld: Stigmergic technological evolution in societies of language-model agents →
“Fuzzy title match (0.73): “SwarmWorld: Stigmergic technological evolution in societies ” ≈ “datawhalechina/hello-agents””
- FuzzySimilar title/name (fuzzy) · 59%Trace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World Systems →
“Fuzzy title match (0.73): “Trace Integrity for LLM Data Agents: A Vision for Auditable ” ≈ “datawhalechina/hello-agents””
- FuzzySimilar title/name (fuzzy) · 59%Self-rewarding agents that retrace failures →
“Fuzzy title match (0.73): “Self-rewarding agents that retrace failures” ≈ “datawhalechina/hello-agents””
Implements
paperCan Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development PipelinepaperPersona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution AuditpaperTraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause AttributionpaperAcquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game AgentspaperLLM-Based Agents for Software and Systems Security: Approaches, Applications, and AssessmentpaperSwarmWorld: Stigmergic technological evolution in societies of language-model agentspaperTrace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World SystemspaperSelf-rewarding agents that retrace failurespaperDeepStress: Stress-Testing Deep Search AgentspaperDevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous EnvironmentspaperVEXAIoT: Autonomous IoT Vulnerability EXploitation using AI AgentspaperWhen Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier ModelspaperPolyWorkBench: Benchmarking Multilingual Long-Horizon LLM AgentspaperAlways-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgentspaperDynamo: Dynamic Skill-Tool Evolution for Vision-Language AgentspaperMRMS: A Multi-Resolution Memory Substrate for Long-Lived AI AgentspaperInformation Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM AgentspaperWhen Agents Lie: Premeditation, Persistence, and Exploitation in Repeated GamespaperA Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM AgentspaperControllable Sim Agents with Behavior LatentspaperClarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific CollaborationpaperManimAgent: Self-Evolving Multimodal Agents for Visual EducationpaperToolFailBench: Diagnosing Tool-Use Failures in LLM AgentspaperTask-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026paperWhat LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent DebatespaperPlover: Steering GUI Agents through Plan-Centric InteractionpaperDigital Pantheon: Simulating and Auditing Coalition Formation with LLM AgentspaperOmniaBench: Benchmarking General AI Agents Across Diverse ScenariospaperBeyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security AgentspaperWho Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM AgentspaperLLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive DashboardpaperDo AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and ExecutionpaperJoint Learning of Experiential Rules and Policies for Large Language Model AgentspaperAdvancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical AutonomypaperA Systematic Evaluation of Trajectory Data Curation for LoRA Fine-Tuning of Code AgentspaperEvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary WorldpaperAutoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation DatapaperSelf-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go?paperWorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football ForecastingpaperACE: Pluggable Adaptive Context Elasticizer across AgentspaperGenerative Skill Composition for LLM AgentspaperAgents in the Wild: Where Research Meets DeploymentpaperBioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic SurveillancepaperQVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM AgentspaperThe Ethics of Autonomous AI Agents for Offensive SecuritypaperThe Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- and What Actually WorkspaperHarnessing Code Agents for Automatic Software VerificationpaperEnhancing Virtual Agents through SLMs and Edge-Computing: An Exploratory Evaluation of Think and Memory ProcessespaperVero: Can AI Agents Build Formally Verified Software Repositories?paperEmpowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task PlanningpaperNeurosymbolic Embodied AgentspaperStagedWorkspace: A Versioned Workspace for Knowledge-Work AgentspaperPolicy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL AgentspaperOn the Fragility of Self-Improving Agents: Variance, Task Order, and UnderspecificationpaperBreak It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents
contributed_to (incoming)
personjjyaoaopersonHeteroCatpersonJJasonSunpersonfengju0213personTasselszcxpersonTsumugii24persontiansiyuanpersonthunderbolt-firepersonXiaoMa-PMpersonweijia99personsunpcmpersonqingning7personLuoPengcheng12138personTangent-90Cpersonjack6249personCC1227871personnameless0120personYYHDBLperson1zrjpersonunseenmepersonhaoye2persongmXianpersonfancyboi999personczxgg0630personpamdla
Related across the graph
paperOn the Fragility of Self-Improving Agents: Variance, Task Order, and UnderspecificationpaperAlways-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgentspersonTasselszcxpaperPolyWorkBench: Benchmarking Multilingual Long-Horizon LLM AgentspaperPersona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Auditpersonjack6249paperBreak It Down, Pass It On: Cross-Task Skill Transfer in LLM AgentspaperWhen Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier ModelspaperLLM-Based Agents for Software and Systems Security: Approaches, Applications, and AssessmentpaperDynamo: Dynamic Skill-Tool Evolution for Vision-Language AgentspersonjjyaoaopaperAutoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation DatapaperDeepStress: Stress-Testing Deep Search AgentspaperMRMS: A Multi-Resolution Memory Substrate for Long-Lived AI AgentspaperInformation Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM AgentspaperThe Ethics of Autonomous AI Agents for Offensive SecuritypaperVEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agentspersonfengju0213personHeteroCatpaperWhen Agents Lie: Premeditation, Persistence, and Exploitation in Repeated GamespaperA Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM AgentspersonTangent-90CpaperWorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football ForecastingpaperSelf-rewarding agents that retrace failurespersonqingning7paperControllable Sim Agents with Behavior LatentspaperAdvancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomypersonczxgg0630paperACE: Pluggable Adaptive Context Elasticizer across AgentspaperWho Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM AgentspaperDo AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Executionpersonthunderbolt-firepaperQVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM AgentspaperNeurosymbolic Embodied AgentspaperBioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic SurveillancepersongmXianpaperGenerative Skill Composition for LLM AgentspaperLLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive DashboardpaperClarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific CollaborationpaperEmpowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task PlanningpaperJoint Learning of Experiential Rules and Policies for Large Language Model AgentspaperBeyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security AgentspaperHarnessing Code Agents for Automatic Software VerificationpersonJJasonSunpersonXiaoMa-PMpaperManimAgent: Self-Evolving Multimodal Agents for Visual EducationpaperVero: Can AI Agents Build Formally Verified Software Repositories?paperA Systematic Evaluation of Trajectory Data Curation for LoRA Fine-Tuning of Code AgentspaperToolFailBench: Diagnosing Tool-Use Failures in LLM AgentspaperWhat LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent DebatespersonunseenmepaperTask-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026paperPolicy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL AgentspersonsunpcmpersonLuoPengcheng12138paperPlover: Steering GUI Agents through Plan-Centric InteractionpaperSwarmWorld: Stigmergic technological evolution in societies of language-model agentsperson1zrjpersonCC1227871paperEnhancing Virtual Agents through SLMs and Edge-Computing: An Exploratory Evaluation of Think and Memory ProcessespaperSelf-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go?paperTrace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World SystemspaperAgents in the Wild: Where Research Meets DeploymentpaperCan Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipelinepersonweijia99personTsumugii24persontiansiyuanpersonnameless0120personpamdlapaperTraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause AttributionpaperEvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary WorldpaperStagedWorkspace: A Versioned Workspace for Knowledge-Work AgentspaperDigital Pantheon: Simulating and Auditing Coalition Formation with LLM Agentspersonfancyboi999personhaoye2personYYHDBLpaperThe Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- and What Actually WorkspaperOmniaBench: Benchmarking General AI Agents Across Diverse ScenariospaperAcquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game AgentspaperDevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments