Best AI papers explained
A podcast by Enoch H. Kang
515 Episoade
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On the Theoretical Limitations of Embedding-Based Retrieval
Publicat: 31.08.2025 -
Performance Prediction for Large Systems via Text-to-Text Regression
Publicat: 30.08.2025 -
Demystifying the Visual Quality Paradox in Multimodal Large Language Models
Publicat: 30.08.2025 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Publicat: 30.08.2025 -
Compute-Optimal Scaling for Value-Based Deep RL
Publicat: 25.08.2025 -
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
Publicat: 23.08.2025 -
Signal and Noise: Evaluating Language Model Benchmarks
Publicat: 23.08.2025 -
Breaking Feedback Loops in Recommender Systems with Causal Inference
Publicat: 21.08.2025 -
RAG is Dead, Context Engineering is King: Building Reliable AI Systems
Publicat: 20.08.2025 -
A Survey of Personalization: From RAG to Agent
Publicat: 20.08.2025 -
Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot
Publicat: 19.08.2025 -
Performance Prediction for Large Systems via Text-to-Text Regression
Publicat: 16.08.2025 -
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Publicat: 15.08.2025 -
DINOv3: Vision Models for Self-Supervised Learning
Publicat: 15.08.2025 -
Agent Lightning: Training Any AI Agents with Reinforcement Learning
Publicat: 14.08.2025 -
Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier
Publicat: 14.08.2025 -
From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models
Publicat: 12.08.2025 -
Is Chain-of-Thought Reasoning a Mirage?
Publicat: 12.08.2025 -
Agentic Web: Weaving the Next Web with AI Agents
Publicat: 11.08.2025 -
The Assimilation-Accommodation Gap in LLM Intelligence
Publicat: 10.08.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
