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cs.SE2025
A Semantic-based Optimization Approach for Repairing LLMs: Case Study on Code Generation
Jian Gu, Aldeida Aleti, Chunyang Chen +1
Language Models (LMs) are widely used in software engineering for code generation, but they may produce erroneous code. Rather than repairing outputs, a more thorough remedy is to…
cs.CL2025
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models
Jian Gu, Aldeida Aleti, Chunyang Chen +1
Finetuning language models (LMs) is crucial for adapting the models to downstream data and tasks. However, full finetuning is usually costly. Existing work, such as parameter-effic…
cs.CL2025
SeMe: Training-Free Language Model Merging via Semantic Alignment
Jian Gu, Aldeida Aleti, Chunyang Chen +1
Despite the remarkable capabilities of Language Models (LMs) across diverse tasks, no single model consistently outperforms others, necessitating efficient methods to combine their…