25 citations · 31 across the 10 of their papers we have counts for
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cs.CR2025
Optimistic TEE-Rollups: A Hybrid Architecture for Scalable and Verifiable Generative AI Inference on Blockchain
Aaron Chan, Alex Ding, Frank Chen +3
The rapid integration of Large Language Models (LLMs) into decentralized physical infrastructure networks (DePIN) is currently bottlenecked by the Verifiability Trilemma, which pos…
cs.AI2025
Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inference
Arther Tian, Alex Ding, Frank Chen +3
Decentralized large language model (LLM) inference promises transparent and censorship resistant access to advanced AI, yet existing verification approaches struggle to scale to mo…
cs.AI2025
SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
Subhrangshu Nandi, Arghya Datta, Rohith Nama +21
LLM-based agents struggle to execute complex, multi-step Standard Operating Procedures (SOPs) that are fundamental to industrial automation. Existing benchmarks fail to capture the…