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This short video set 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. It shows how these researches paved the way to the GenAI tools that we are using every day such as ChatGPT, Gemini, Claude Code etc. This is complementary to https://open.spotify.com/show/7B2L4YDgRdi9LcsdFo9vP3
Unknown Host hosts Learning GenAI via SOTA Papers - Video, a general show with 16 episodes published.
Title: PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement Source: http://arxiv.org/abs/2605.11225v1 Summary: PIVOT introduces a novel self-supervised framework that treats agent trajectories a
Show notesTitle: DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement LearningSource: http://arxiv.org/abs/2605.10488v1 Summary: DeepRefine establishes a general reinforcement learning framework for the autonomous ref
Show notesTitle: LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models Source: http://arxiv.org/abs/2605.09806v1 Summary:LEAD establishes a foundational reinforcement learning mechanism for reasoning mode
Show notesTitle: Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation Source: http://arxiv.org/abs/2605.09315v1 Summary: This paper introduces the 'capability erosion' framework
Show notesTitle: Tools as Continuous Flow for Evolving Agentic ReasoningSource: http://arxiv.org/abs/2605.07339v1 Summary: FlowAgent reconceptualizes agentic reasoning by replacing discrete, step-wise tool orchestration with conti
Show notesTitle: Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models Source: http://arxiv.org/abs/2605.07721v1 Summary:This paper introduces a novel architectural primitive that decouples
Show notesTitle: Logic-Regularized Verifier Elicits Reasoning from LLMs Source: http://arxiv.org/abs/2605.05893v1 Summary: This work presents a novel reasoning framework that uses logical consistency rules to regularize unsupervis
Show notesTitle: HaM-World: Soft-Hamiltonian World Models with Selective Memory for PlanningSource: http://arxiv.org/abs/2605.05951v1 Summary: This paper introduces a foundational architectural primitive for world models by combin
Show notesTitle: Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation Source: http://arxiv.org/abs/2605.05007v1 Summary: This paper introduces a novel orchestration policy that jointly optimizes task decomposition an
Show notesTitle: Gyan: An Explainable Neuro-Symbolic Language Model Source: http://arxiv.org/abs/2605.04759v1 Summary: Gyan proposes a breakthrough non-transformer architecture that decouples language modeling from knowledge repre
Show notesTitle: ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical ForgettingSource: http://arxiv.org/abs/2605.03804v1 Summary: ScrapMem introduces a novel on-device memory architecture for age
Show notesTitle: Parallel Prefix Verification for Speculative Generation Source: http://arxiv.org/abs/2605.04263v1 Summary: This paper introduces PARSE, a novel speculative generation primitive that enables semantic-level verifica
Show notesTitle: OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories Source: http://arxiv.org/abs/2605.04036v1 Summary: This paper establishes a high-efficiency paradigm for trainin
Show notesTitle: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation Source: http://arxiv.org/abs/2605.04128v1 Summary:JoyAI-Image establishes a new foundational architecture for multimodal agents by ti
Show notesTitle: The Compliance Trap: How Structural Constraints Degrade Frontier AI Metacognition Under Adversarial Pressure Source: http://arxiv.org/abs/2605.02398v1 Summary: This work identifies the 'Compliance Trap,' a fundame
Show notesTitle: MAGE: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory Source: http://arxiv.org/abs/2605.03228v1 Summary: MAGE introduces the 'shadow memory' abstraction, a novel defensive framework that mai
Show notesTitle: GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing Source: http://arxiv.org/abs/2605.02489v1 Summary: GRAIL introduces a novel SLM-enhanced indexing and re
Show notesTitle: ARISE: A Repository-level Graph Representation and Toolset for Agentic Fault Localization and Program Repair Source: http://arxiv.org/abs/2605.03117v1 Summary: ARISE introduces a multi-granularity program graph an
Show notesTitle: Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation Source: http://arxiv.org/abs/2605.01750v1 Summary: This research identifies 'dynamic grounding' as a foundatio
Show notesTitle: Sheaf-Theoretic Planning: A Categorical Foundation for Resilient Multi-Agent Autonomous SystemsSource: http://arxiv.org/abs/2605.01879v1 Summary: This paper introduces Sheaf-Theoretic Planning (STP) as a transform
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Learning GenAI via SOTA Papers - Video is hosted by Unknown Host. The show is categorised under General and has published 16 episodes.
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