30 citations · 170 across the 53 of their papers we have counts for
4 papers · 1 filter
AMEND: Audited Margins Enable Nonblocking Drops in GPU-PIM LLM Decoding
Zuxiong Tan, Will Wei-Jen Wang, Wei Shao +3
Autoregressive large language model (LLM) decoding re-reads a growing key-value (KV) cache at every step, so long-context attention is bound by graphics processing unit (GPU) memor…
When Models Ignore Definitions: Measuring Semantic Override Hallucinations in LLM Reasoning
Yogeswar Reddy Thota, Setareh Rafatirad, Homayoun Houman +1
Large language models (LLMs) demonstrate strong performance on standard digital logic and Boolean reasoning tasks, yet their reliability under locally redefined semantics remains p…
Human-AI Interaction: Evaluating LLM Reasoning on Digital Logic Circuit included Graph Problems, in terms of creativity in design and analysis
Yogeswar Reddy Thota, Setareh Rafatirad, Homayoun Houman +1
Large Language Models (LLMs) are increasingly used by undergraduate students as on-demand tutors, yet their reliability on circuit- and diagram-based digital logic problems remains…
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design
Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi +6
The emergence of High-Level Synthesis (HLS) tools shifted the paradigm of hardware design by making the process of mapping high-level programming languages to hardware design such…