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cs.LG2026
Concept-SAE: A Controllable and Invertible Concept Interface for Sparse Autoencoders
Jianrong Ding, Muxi Chen, Chenchen Zhao +1
Standard Sparse Autoencoders (SAEs) excel at discovering a dictionary of a model's learned features, providing a powerful lens for passive feature discovery. However, this passive…
cs.LG2025
MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs
Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen +19
The emergence of multimodal large language models (MLLMs) presents promising opportunities for automation and enhancement in Electronic Design Automation (EDA). However, comprehens…