Abstract: This paper investigates the potential of Vision-Language Models (VLMs) to enhance Human-Vehicle Interaction (HVI) in Autonomous Driving (AD) scenarios, particularly in interactions between ...
Abstract: This brief presents PredLM, a hardware-algorithm co-designed accelerator that aggressively reduces external memory access (EMA) to achieve real-time large language model (LLM) decoding.
Keynesian economics posits that aggregate demand is the principal driver of output and employment, with business investment responding to profit expectations and confidence. Central to this framework ...
This paper presents a unified spoken language model for emotional intelligence, enhanced by a novel data construction strategy termed Injected Emotional-Attribution Thinking (IEAT). IEAT incorporates ...
Abstract: The increasingly dynamic and diversified cloud service network environment poses many challenges to the QoS prediction in the field of service recommendation. How to predict the quality of ...
Abstract: In this paper, we explore a low area-time elliptic curve point multiplication (ECPM) hardware accelerator over Curve25519. Firstly, we analyze the correlation of the data hazards of LADDER ...
Abstract: Skeleton-based human action recognition has attracted increasing attention in recent years. However, most existing methods focus on single-person scenarios and struggle with complex ...
Abstract: During the Institute of Standards and Technology (NIST) postquantum cryptography standardization process, the lattice-based Dilithium scheme was selected as one of the three third-round ...
There was an error while loading. Please reload this page. squad: All 11 code review findings fixed — blockers + should-fix items Fixed all blocking (B1, B2, B3 ...
**What:** Wrote 41 unit tests across 4 test files for Phase 1 features (proactive — tests written from architecture spec while Freamon builds production code ...
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