1 citations · 2 across the 4 of their papers we have counts for
4 papers
Exploring LLM biases to manipulate AI search overview
Roman Smirnov
Modern large language models (LLMs) are used in many business applications in general, and specifically in web search systems and applications that generate overviews of search res…
Classifier-free guidance in LLMs Safety
Roman Smirnov
The paper describes LLM unlearning without a retaining dataset, using the ORPO reinforcement learning method with inference enhanced by modified classifier-free guidance. Significa…
Multi-Programming Language Ensemble for Code Generation in Large Language Model
Tengfei Xue, Xuefeng Li, Tahir Azim +4
Large language models (LLMs) have significantly improved code generation, particularly in one-pass code generation. However, most existing approaches focus solely on generating cod…
NinjaLLM: Fast, Scalable and Cost-effective RAG using Amazon SageMaker and AWS Trainium and Inferentia2
Tengfei Xue, Xuefeng Li, Roman Smirnov +3
Retrieval-augmented generation (RAG) techniques are widely used today to retrieve and present information in a conversational format. This paper presents a set of enhancements to t…