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20232026
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8 papers · 1 filter

cs.CL2025

Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms

Mengru Wang, Ziwen Xu, Shengyu Mao +4

Precise control over language model generation is vital for ensuring both safety and reliability. Although prompt engineering and steering are commonly used to intervene in model b…

cs.CL2024

Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process

Peng Wang, Xiaobin Wang, Chao Lou +3

In-context learning (ICL) is a few-shot learning paradigm that involves learning mappings through input-output pairs and appropriately applying them to new instances. Despite the r…

cs.CL2024

RaFe: Ranking Feedback Improves Query Rewriting for RAG

Shengyu Mao, Yong Jiang, Boli Chen +7

As Large Language Models (LLMs) and Retrieval Augmentation Generation (RAG) techniques have evolved, query rewriting has been widely incorporated into the RAG system for downstream…

cs.CL2024

Editing Conceptual Knowledge for Large Language Models

Xiaohan Wang, Shengyu Mao, Ningyu Zhang +6

Recently, there has been a growing interest in knowledge editing for Large Language Models (LLMs). Current approaches and evaluations merely explore the instance-level editing, whi…

cs.CL2024

A Comprehensive Study of Knowledge Editing for Large Language Models

Ningyu Zhang, Yunzhi Yao, Bozhong Tian +19

Large Language Models (LLMs) have shown extraordinary capabilities in understanding and generating text that closely mirrors human communication. However, a primary limitation lies…

cs.CL2023

Editing Personality for Large Language Models

Shengyu Mao, Xiaohan Wang, Mengru Wang +4

This paper introduces an innovative task focused on editing the personality traits of Large Language Models (LLMs). This task seeks to adjust the models' responses to opinion-relat…