Explainer Videos

on AI Research Papers

🚀 Feeling overwhelmed by the constant flood of new AI papers? You’re not alone.

My process: I read the full paper, then use Google’s NotebookLM to help me analyze, question, and distill the core concepts. I turn that research into a short, easy-to-understand video summary, so you can get the key insights without spending hours on dense academic text.

This playlist is for you if you’re:

👉 A student or developer wanting to stay on the cutting edge.

👉 An AI enthusiast curious about the latest tech.

👉 A professional who needs to save time but stay informed.

Subscribe and hit the bell so you never miss a breakdown of the next big thing in AI!

Note: I only claim to have read the research paper and created a Video using AI tool. I am not the author. All intellectual heavy lifting was performed by the respective authors. 🙏

Extreme Self-Preference in Language Models

The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

DeepSearch Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo

Chain-in-Tree Back to Sequential Reasoning in LLM Tree Search

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

'Too much alignment; not enough culture' Re-balancing cultural alignment practices in LLMs

The NazoNazo Benchmark: A Cost-Effective and Extensible Test of Insight-Based Reasoning in LLMs

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness

The Thinking Spectrum An Emperical Study of Tunable Reasoning in LLMs through Model Merging

Successful Misunderstandings Learning to Coordinate Without Being Understood

Reasoning or Retrieval A Study of Answer Attribution on Large Reasoning Models

On the Self-awareness of Large Reasoning Models' Capability Boundaries

ELHPlan Efficient Long-Horizon Task Planning for Multi-Agent Collaboration

Cogito, Ergo Ludo An Agent that Learns to Play by Reasoning and Planning

MIXRAG Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Questio

Learning More with Less A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimizati

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

Learn the Ropes, Then Trust the Wins Self-imitation with Progressive Exploration for Agentic Reinfor

Fairness-Aware Reinforcement Learning (FAReL) A Framework for Transparent and Balanced Sequential De

Do LLM Agents Know How to Ground, Recover, and Assess A Benchmark for Epistemic Competence in Inform

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning A Theoretical Perspectiv

The Rogue Scalpel Activation Steering Compromises LLM Safety

The Emergence of Altruism in Large-Language-Model Agents Society

Rationality Check! Benchmarking the Rationality of Large Language Models

Scaling Laws for Neural Language Models

Retrieval-of-Thought Efficient Reasoning via Reusing Thoughts

Learning to Reason with Mixture of Tokens

Understanding Thinking Process of Reasoning Models:A Perspective from Schoenfeld's Episode Theory

LANCE Low Rank Activation Compression for Efficient On-Device Continual Learning

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