HeyJaredLearning GenAI via SOTA Papers
This podcast is focusing on sharing the papers on GenAI related topic, especially the SOTA (State of the Art) papers that are the foundations of GenAI work.
- Indexed episodes, last 90 days
- 165
- Latest publication
- Sep 23, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 3, 2026
Latest episodes
EP448: TDD-Agent and test-driven AI reasoning (opens the original)
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Title: TDD-Agent: Test-Driven Reasoning for Code Generation Source: http://arxiv.org/abs/2608.16742v1 Summary: This paper introduces 'Test-Driven Reasoning,' a novel agentic reasoning loop where agents iteratively generate, test, and refine their outputs. This foundational framework significantly enhances agent reliability and capability, especially for complex generative tasks like code generation, by enabling robust self-correction and verification.
EP447: Building muscle memory for AI agents (opens the original)
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Title: HaReCAP: Habitual-action Grounding for Recursive Large Language Model Agents Source: http://arxiv.org/abs/2608.16447v1Summary: This work proposes 'Recursive Large Language Model Agents,' a novel architectural concept for agent design, combined with 'Habitual-action Grounding.' This framework introduces a mechanism for agents to learn and leverage common patterns and behaviors, leading to more efficient and effective reasoning for complex, long-horizon tasks and marking a significant reaso
EP446: Agent-Native Telemetry for Autonomous Cloud Operations (opens the original)
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Title: Agent-Native Telemetry: Verifiable State-Delta Evidence for Autonomous OperationsSource: http://arxiv.org/abs/2608.16178v1 Summary: This paper presents Agent-Native Telemetry, a new architectural protocol designed to optimize operational logging for machine agents rather than humans. By structuring state changes into verifiable primitives and using a state-delta evidence ledger, it achieves an 88.8% reduction in context window tokens while enabling cryptographic state-verification for aut
EP445: How HyMem stops AI context dilution (opens the original)
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Title: HyMem: Hierarchical Context Management for Long-Horizon Agents via Information IsolationSource: http://arxiv.org/abs/2608.15703v1 Summary: This paper introduces a hierarchical context management system that enables agents to handle long-horizon tasks more effectively by isolating and organizing information. This represents a significant efficiency and reasoning breakthrough for individual agents, allowing them to maintain coherence and perform complex tasks over extended periods.
EP444: EgoGazeLite replaces bulky eye tracking hardware (opens the original)
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Title: EgoGazeLite: On-Device Egocentric Gaze Prediction for Token-Efficient Multimodal LLM Video Input Source: http://arxiv.org/abs/2608.15614v1Summary: This research presents a method for highly efficient, on-device processing of multimodal video input for large language models, leveraging egocentric gaze prediction. It offers a significant efficiency breakthrough by making multimodal inputs more token-efficient, enabling practical real-time perception for GenAI and AI agents.
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