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20222026
most citedA Comprehensive Study of Knowledge Editing for Large Language Models

21 citations · 45 across the 18 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.SD2025

Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems

Yash Vishe, Eric Xue, Xunyi Jiang +4

Music editing plays a vital role in modern music production, with applications in film, broadcasting, and game development. Recent advances in music editing systems have enabled di…

cs.CL2025

When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation

Xunyi Jiang, Dingyi Chang, Julian McAuley +1

The rapid evolution of large language models (LLMs) and the real world has outpaced the static nature of widely used evaluation benchmarks, raising concerns about their reliability…

cs.CL2025

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses

Xin Xu, Xunzhi He, Churan Zhi +3

Existing studies on bias mitigation methods for large language models (LLMs) use diverse baselines and metrics to evaluate debiasing performance, leading to inconsistent comparison…

cs.SD2025

WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning

Gagan Mundada, Yash Vishe, Amit Namburi +4

Recent advances in Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities across various vision-language tasks. However, their reasoning abilities in th…

cs.CL2025

BiasEdit: Debiasing Stereotyped Language Models via Model Editing

Xin Xu, Wei Xu, Ningyu Zhang +1

Previous studies have established that language models manifest stereotyped biases. Existing debiasing strategies, such as retraining a model with counterfactual data, representati…