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C. Karfa

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Review Jul 2026

LLM Assisted Verification Assertion Generation: Challenges and Future Directions

Assertion-based Verification (ABV) plays a critical role in the Design Verification (DV) process. However, ABV requires substantial manual effort in generating assertion from specification by verification engineers, making it a time-consuming stage in the chip design flow. With the recent development of Large Language Models (LLMs), researchers have started exploring their use as an assistance in the ABV process, particularly for generating SystemVerilog Assertions (SVAs) from design specification. In this paper, we provide an overview of recent works, highlighting the different methods used to generate SVAs. In particular, we investigate LLM-based SVA generation and ask a central question: How can LLM-based assertion generation be made systematic and quality-aware? While addressing this key question, we provide Key Takeaways at the end of each challenge, summarizing the important methodological insights, and also provide guidelines and directions in solving those challenges that can help generate a high-quality set of assertions using LLMs.

Bhabesh Mali, C. Karfa · 0 citations
Review Aug 2026

A Survey of Adversarial Efficiency Degradation for Vision Transformer by Exploiting Input-adaptive Optimization

This survey examines a recent class of adversarial efficiency degradation attacks that target these mechanisms to increase computation without necessarily degrading accuracy, and unify and compare two representative attacks across three popular token-pruning frameworks.

Anadi Goyal, Nandish Chattopadhyay, Anupam Chattopadhyay et al. · 0 citations

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