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20222026
most citedModel Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

4 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Multiplicative Orthogonal Sequential Editing for Language Models

Hao-Xiang Xu, Jun-Yu Ma, Ziqi Peng +3

Knowledge editing aims to efficiently modify the internal knowledge of large language models (LLMs) without compromising their other capabilities. The prevailing editing paradigm,…

cs.CL2025★ 1 cited

Constraining Sequential Model Editing with Editing Anchor Compression

Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling +2

Large language models (LLMs) struggle with hallucinations due to false or outdated knowledge. Given the high resource demands of retraining these models, there is an increasing foc…

cs.CL2024

Neighboring Perturbations of Knowledge Editing on Large Language Models

Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang +1

Despite their exceptional capabilities, large language models (LLMs) are prone to generating unintended text due to false or outdated knowledge. Given the resource-intensive nature…

cs.CL2024★ 4 cited

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma +4

Model editing is a technique that edits the large language models (LLMs) with updated knowledge to alleviate hallucinations without resource-intensive retraining. While current mod…

cs.CL2023

SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction

Jun-Yu Ma, Jia-Chen Gu, Zhen-Hua Ling +3

Zero-shot cross-lingual information extraction(IE) aims at constructing an IE model for some low-resource target languages, given annotations exclusively in some rich-resource lang…

cs.CL2023

USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER

Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi +3

This paper describes the system developed by the USTC-NELSLIP team for SemEval-2023 Task 2 Multilingual Complex Named Entity Recognition (MultiCoNER II). A method named Statistical…

cs.CL2022★ 1 cited

WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition

Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu +5

Zero-shot cross-lingual named entity recognition (NER) aims at transferring knowledge from annotated and rich-resource data in source languages to unlabeled and lean-resource data…