Best AI papers explained

474 Avsnitt

1. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

   Publicerades: 2025-06-10
2. LLMs Get Lost In Multi-Turn Conversation

   Publicerades: 2025-06-09
3. PromptPex: Automatic Test Generation for Prompts

   Publicerades: 2025-06-08
4. General Agents Need World Models

   Publicerades: 2025-06-08
5. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models

   Publicerades: 2025-06-07
6. Decisions With Algorithms

   Publicerades: 2025-06-07
7. Adapting, fast and slow: Causal Approach to Few-Shot Sequence Learning

   Publicerades: 2025-06-06
8. Conformal Arbitrage for LLM Objective Balancing

   Publicerades: 2025-06-06
9. Simulation-Based Inference for Adaptive Experiments

   Publicerades: 2025-06-06
10. Agents as Tool-Use Decision-Makers

    Publicerades: 2025-06-06
11. Quantitative Judges for Large Language Models

    Publicerades: 2025-06-06
12. Self-Challenging Language Model Agents

    Publicerades: 2025-06-06
13. Learning to Explore: An In-Context Learning Approach for Pure Exploration

    Publicerades: 2025-06-06
14. How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation

    Publicerades: 2025-06-06
15. A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models

    Publicerades: 2025-06-05
16. Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling

    Publicerades: 2025-06-05
17. Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models

    Publicerades: 2025-06-05
18. IPO: Interpretable Prompt Optimization for Vision-Language Models

    Publicerades: 2025-06-05
19. Evolutionary Prompt Optimization discovers emergent multimodal reasoning strategies

    Publicerades: 2025-06-05
20. Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?

    Publicerades: 2025-06-04