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Hosted by Yun Wu · 🇺🇸 US · EN-US · 372 episodes
Established thought leaders with verified media credentials.
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. 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.
Yun Wu hosts Learning GenAI via SOTA Papers, a technology show with 372 episodes published.
Title: Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Source: http://arxiv.org/abs/2607.17352v1 Summary: This paper introduces a foundational framework for agents to autonomously modify the
Title: Reward-Driven LLM Agent Workflows: Synthesizing POMDP Routing and Self-Correction for Autonomous Decision-Making Source: http://arxiv.org/abs/2607.17038v1 Summary: This work proposes a novel and comprehensive agen
Title: Training Continuous Chain of Thought Models: A Tale of Two Regimes Source: http://arxiv.org/abs/2607.16972v1 Summary: This paper proposes a significant advancement in LLM reasoning by introducing 'continuous chain
Title: Principled Direction-Free Intrinsic Motivation through Model-Free Epistemic Free-Energy Estimators Source: http://arxiv.org/abs/2607.16858v1 Summary: This research presents a principled, model-free approach to int
Title: ToolVerse: Unlocking Massive Environments and Long-Horizon Tasks for Agentic Reinforcement Learning Source: http://arxiv.org/abs/2607.15660v1 Summary: This paper introduces a novel framework (ToolVerse) that signi
Title: MGDT: MLLM-Guided Diffusion Transformer with Relation-Adaptive Mixture-of-Experts for Multimodal Knowledge Graph Completion Source: http://arxiv.org/abs/2607.15592v1 Summary: This paper proposes a new architectura
Title: TopoAgent: A Self-Evolving Topological Agent for Multimodal Scientific Reasoning Source: http://arxiv.org/abs/2607.14658v1 Summary: TopoAgent proposes a self-evolving topological agent framework, introducing novel
Title: T^2MLR: Transformer with Temporal Middle-Layer Recurrence Source: http://arxiv.org/abs/2607.15178v1 Summary: This paper introduces T^2MLR, a novel Transformer architecture incorporating temporal recurrence directl
Title: Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling Source: http://arxiv.org/abs/2607.13558v1 Summary: This paper introduces a novel framework for multi-agent collaborative
Title: Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs Source: http://arxiv.org/abs/2607.13712v1 Summary: This work proposes a new preference optimization method, Groc-PO, specifically desi
Title: Track, Rank, Crack: Epistemic Working Memory Scales Multi-Hop Reasoning in Language Agents Source: http://arxiv.org/abs/2607.12267v1 Summary: This work introduces a novel agentic reasoning framework centered on 'E
Title: Atomic Units of X: The Compression Layer of Intelligence Source: http://arxiv.org/abs/2607.12634v1 Summary: This paper proposes a foundational concept of 'Atomic Units of X' as a compression layer, which could int
Title: A Hybrid Mamba for Audio-Visual Navigation Source: http://arxiv.org/abs/2607.13110v1 Summary: This paper proposes a 'Hybrid Mamba' architecture, establishing a new architectural primitive or a significant evolutio
Title: Optimization Is Not All You Need Source: http://arxiv.org/abs/2607.11977v2 Summary: This work proposes a paradigm shift beyond traditional optimization-centric approaches in AI, suggesting new fundamental principl
Title: Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web Exploitation Source: http://arxiv.org/abs/2607.11288v1 Summary: This work proposes a groundbreaking self-evolving agentic operating system
Title: Agentic Routing: The Harness-Native Data Flywheel Source: http://arxiv.org/abs/2607.11399v1 Summary: This paper introduces a foundational step-level routing paradigm that treats multi-model coordination within age
Title: A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Source: http://arxiv.org/abs/2607.11138v1 Summary: This paper presents a novel hierarchical, stack-based e
Title: LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans Source: http://arxiv.org/abs/2607.10878v1 Summary: LOGOS introduces a pluggable layer for self-evolution and governance within multi-agent framework
Title: Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories Source: http://arxiv.org/abs/2607.10601v1 Summary: Agentic-DPO proposes a lightweight offline policy optimization method that trans
Title: Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization Source: http://arxiv.org/abs/2607.10169v1 Summary: This paper introduces Riemannian Isometric Polic
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Learning GenAI via SOTA Papers is hosted by Yun Wu. The show is categorised under technology and has published 372 episodes.
Learning GenAI via SOTA Papers has published 372 episodes.
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