Best AI papers explained
En podkast av Enoch H. Kang - Fredager
203 Episoder
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AI Agent Protocols and Human Preference
Publisert: 21.4.2025 -
Cross-Environment Cooperation for Zero-Shot Multi-Agent Coordination
Publisert: 20.4.2025 -
Sutton and Silver: The Era of Experience: Learning Beyond Human Data
Publisert: 19.4.2025 -
Sample, Don't Search: Rethinking Test-Time Alignment for Language Models
Publisert: 19.4.2025 -
AI Agents: Echoes of Past Technology Pivots?
Publisert: 19.4.2025 -
Minimalist LLM Reasoning: Rejection Sampling to Reinforcement
Publisert: 19.4.2025 -
Securing the Model Context Protocol in Enterprise Environments
Publisert: 19.4.2025 -
Improving Multi-Turn Tool Use with Reinforcement Learning
Publisert: 19.4.2025 -
Cultural Knowledge Conservation and Control in Large Language Models
Publisert: 19.4.2025 -
Data Quality, Repetition, and Scaling of Language Models
Publisert: 18.4.2025 -
Compute-Optimal Scaling Laws for Language Models Revisited
Publisert: 18.4.2025 -
Concise Reasoning via Reinforcement Learning
Publisert: 18.4.2025 -
Throughput Limits for LLM Inference and AI Agent Scheduling
Publisert: 14.4.2025 -
RL Post-training Amplifies Pretraining Behaviors in Language Models
Publisert: 14.4.2025 -
Fast Adaptation of Behavioral Foundation Models
Publisert: 14.4.2025 -
Proprietary Reward Models: Sustaining Advantage in Agentic AI
Publisert: 13.4.2025 -
Why Multi-Agent LLM Systems Fail: A Comprehensive Study
Publisert: 12.4.2025 -
Play2Prompt: Zero-Shot Tool Instruction Optimization via Tool Play
Publisert: 12.4.2025 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Publisert: 12.4.2025 -
API and GUI Agents: Divergence, Convergence, and Hybrid Approaches
Publisert: 12.4.2025
Men know other men best. Women know other women best. And yes, perhaps AIs know other AIs best. AI explains what you should know about this week's AI research progress.
