Best AI papers explained

456 Episodes

1. LLM Feedback Loops and the Lock-in Hypothesis

   Published: 4/27/2025
2. Representational Alignment Drives Effective Teaching and Learning

   Published: 4/27/2025
3. Adaptive Parallel Reasoning with Language Models

   Published: 4/27/2025
4. AI: Rewiring the Flow of Ideas and Human Knowledge

   Published: 4/27/2025
5. Learning and Equilibrium with Ranking Feedback

   Published: 4/27/2025
6. Designing Human-AI Collaboration: A Sufficient-Statistic Approach

   Published: 4/27/2025
7. GOAT: Generative Adversarial Training for Human-AI Coordination

   Published: 4/27/2025
8. π0.5: Generalization in Robotic Manipulation via Diverse Data

   Published: 4/27/2025
9. NoWag: Unified Compression for Large Language Models

   Published: 4/26/2025
10. Optimal Tool Calls in Language Model Reasoning

    Published: 4/26/2025
11. Data Selection for Empirical Risk Minimization

    Published: 4/26/2025
12. LoRe: Low-Rank Reward Modeling for Personalized LLMs

    Published: 4/26/2025
13. ParaPO: Reducing Language Model Verbatim Reproduction

    Published: 4/26/2025
14. Test-Time RL: Self-Evolving LLMs via Majority Voting Rewards

    Published: 4/25/2025
15. Tina: Tiny LoRA Reasoning Models

    Published: 4/25/2025
16. Evaluating large language models in theory of mind tasks

    Published: 4/25/2025
17. QUEST: Quality Sampling for Machine Translation

    Published: 4/24/2025
18. Offline Preference Learning via Simulated Trajectory Feedback

    Published: 4/24/2025
19. Reasoning Elicitation in Language Models via Counterfactual Feedback

    Published: 4/24/2025
20. Eliciting Human Preferences with Language Models

    Published: 4/24/2025