- llm
- nlp
- reasoning
- rl
- rlhf
- ssm
- theory
- information-theory
- representation-learning
- optimization
- rag
- alignment
- paper-review
- survey
- notes
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Memorization Without Overfitting in Large Language Models
Analyzing when and how LLMs memorize training data without generalizing worse.
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Beyond Chain-of-Thought: Graph-of-Thought Reasoning in LLMs
Review of a paper extending CoT prompting to graph-structured reasoning for large language models.
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Scaling Laws for Neural Language Models
Kaplan et al. (2020) — power-law relationships between model size, compute, data, and loss in language models.
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Graph of Thought: Boosting Logical Reasoning in LLMs
Graph-structured thought representation for improving logical reasoning in large language models.
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Knowledge Graph Prompting Sparks Graph of Thoughts in LLMs
Using knowledge graph structure to guide graph-of-thought reasoning in large language models.