← Search

Fedor Moiseev

2 accepted papers

2023

SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives

ACL 2023findings

Dual encoders have been used for retrieval tasks and representation learning with good results. A standard way to train dual encoders is using a contrastive loss with in-batch negatives. In this work, we propose an improved contrastive learning objective by adding queries or documents from the same…

Cited by 6SourcePDFScholar
2022

SKILL: Structured Knowledge Infusion for Large Language Models

NAACL 2022long

Large language models (LLMs) have demonstrated human-level performance on a vast spectrum of natural language tasks. However, it is largely unexplored whether they can better internalize knowledge from a structured data, such as a knowledge graph, or from text. In this work, we propose a method to i…

Cited by 100SourcePDFScholar