Stanford IRIS Lab (Interactive Robotics Laboratory), Stanford University
表格 3 results
| Name | Categories | Topics | References | Credibility | CreateDate | UpdateDate | Title | NavigationOrder | Eleventy | TemplateEngineOverride | Created | RelatedNotes |
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| 20260423_meta_harness_end_to_end_optimization | paper_analysis | context_engineering, agent_architecture, llm, reasoning, rag | stanford_iris_lab, terminalbench_2, krafton | 100 | | | Meta-Harness: End-to-End Optimization of Model Harnesses | [object Object] | [object Object] | md | | |
| 20260521_methodology_selecting_composing_runtime_architecture_patterns_production_llm_agents | paper_analysis | agent_architecture, distributed_systems, multi_agent_systems, llm, reasoning | stanford_iris_lab, claw | 100 | | | A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents | [object Object] | [object Object] | md | | agent_memory_and_reasoning_frontier_survey_2026, memgpt_towards_llms_as_operating_systems, memlineage_lineage_guided_llm_agent_memory |
| 20260528_CORE_contrastive_reflection_reasoning | paper_analysis | reasoning, memory_mechanism, self_evolving_agents, contrastive_reflection, reinforce_learning, cognitive_science | stanford_iris_lab, grpo, memgpt | 100 | | | CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning | [object Object] | [object Object] | md | | Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key, MemLineage: Lineage-Guided Enforcement for LLM Agent Memory, AMR-SD: Asymmetric Meta-Reflective Self-Distillation for Token-Level Credit Assignment |