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cs.LG2025
David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?
Shashwat Shankar, Subhranshu Pandey, Innocent Dengkhw Mochahari +4
Large Language Model(LLM) inference demands massive compute and energy, making domain-specific tasks expensive and unsustainable. As foundation models keep scaling, we ask: Is bigg…
cs.AI2025
SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine
Adarsh Gupta, Bhabesh Mali, Chandan Karfa
Recent advancements in the field of reasoning using Large Language Models (LLMs) have created new possibilities for more complex and automatic Hardware Assertion Generation techniq…