Top Papers
Deterministic and Reliable Software-Defined Vehicles: key building blocks, challenges, and vision
As vehicle systems become increasingly complex, with more features, services, sensors, actuators, and processing units, it is important to view vehicles not just as modes of transportation moving toward full autonomy, but also as adaptive systems that respond to the needs of their occupants.
Distributed, Parallel, and Cluster Computing Networking and Internet Architecture C.2.1; C.2.4; C.0; D.2.1; D.2.11; J.7; K.6.4
Empowering Robot Path Planning with Large Language Models: osmAG Map Topology & Hierarchy Comprehension with LLMs
Large Language Models (LLMs) have demonstrated great potential in robotic applications by providing essential general knowledge.
Robotics
Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models
Current large language models (LLMs) excel in response expression; however, they lack the ability to deeply understand emotional and cognitive nuances, particularly in pinpointing fine-grained emotions and their triggers.
Human-Computer Interaction
UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with Action Understanding and Feedback in Natural Language
Specifically, the proposed UbiPhysio framework comprises a fine-grained action descriptor and a knowledge retrieval-enhanced feedback module.
Human-Computer Interaction
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
coqui-ai/TTS
•
•
Several recent end-to-end text-to-speech (TTS) models enabling single-stage training and parallel sampling have been proposed, but their sample quality does not match that of two-stage TTS systems.
Sound Audio and Speech Processing
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
coqui-ai/TTS
•
•
Interspeech2020 2020
In this paper, we propose multi-band MelGAN, a much faster waveform generation model targeting to high-quality text-to-speech.
Sound Audio and Speech Processing
google-research
google-research/google-research
•
•
NeurIPS 2020
Google Research
Data Structures and Algorithms
Manu: A Cloud Native Vector Database Management System
In the past three years, through interaction with our 1200+ industry users, we have sketched a vision for the features that next-generation vector databases should have, which include long-term evolvability, tunable consistency, good elasticity, and high performance.
Databases
Array Programming with NumPy
Array programming provides a powerful, compact, expressive syntax for accessing, manipulating, and operating on data in vectors, matrices, and higher-dimensional arrays.
Mathematical Software Computation
MediaPipe: A Framework for Building Perception Pipelines
google/mediapipe
•
•
A developer can use MediaPipe to build prototypes by combining existing perception components, to advance them to polished cross-platform applications and measure system performance and resource consumption on target platforms.
Distributed, Parallel, and Cluster Computing
