3 citations · 3 across the 12 of their papers we have counts for
5 papers · 1 filter
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
Xu Wang, Zihao Li, Benyou Wang +2
Large language models (LLMs) store vast amounts of information, making them powerful yet raising privacy and safety concerns when selective knowledge removal is required. Existing…
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
Zihao Li, Xu Wang, Yuzhe Yang +3
Large Language Models (LLMs) demonstrate the ability to solve reasoning and mathematical problems using the Chain-of-Thought (CoT) technique. Expanding CoT length, as seen in model…
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
Xu Wang, Yan Hu, Wenyu Du +3
Fine-tuning significantly improves the performance of Large Language Models (LLMs), yet its underlying mechanisms remain poorly understood. This paper aims to provide an in-depth i…
Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models
Xinyi Leng, Jason Liang, Jack Mauro +8
Narrative data spans all disciplines and provides a coherent model of the world to the reader or viewer. Recent advancement in machine learning and Large Language Models (LLMs) hav…
Expanding the Vocabulary of BERT for Knowledge Base Construction
Dong Yang, Xu Wang, Remzi Celebi
Knowledge base construction entails acquiring structured information to create a knowledge base of factual and relational data, facilitating question answering, information retriev…