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Found 6 papers, 2 papers with code
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
Large language models (LLMs) are highly capable of many tasks but they can sometimes generate unreliable or inaccurate outputs.
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
The rapid development of large language models has revolutionized code intelligence in software development.
Ranked #11 on
Code Generation
on MBPP
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
The rapid development of open-source large language models (LLMs) has been truly remarkable.
Learning to Make Adherence-Aware Advice
As artificial intelligence (AI) systems play an increasingly prominent role in human decision-making, challenges surface in the realm of human-AI interactions.
Fairer LP-based Online Allocation via Analytic Center
On a high level, we define the fairness in a way that a fair online algorithm should treat similar agents/customers similarly, and the decision made for similar agents/customers should be consistent over time.
An Adaptive State Aggregation Algorithm for Markov Decision Processes
Value iteration is a well-known method of solving Markov Decision Processes (MDPs) that is simple to implement and boasts strong theoretical convergence guarantees.
