Trending Research
NanoFlow: Towards Optimal Large Language Model Serving Throughput
efeslab/Nanoflow
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The increasing usage of Large Language Models (LLMs) has resulted in a surging demand for planet-scale serving systems, where tens of thousands of GPUs continuously serve hundreds of millions of users.
Distributed, Parallel, and Cluster Computing
A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?
Translating users' natural language queries (NL) into SQL queries (i. e., NL2SQL) can significantly reduce barriers to accessing relational databases and support various commercial applications.
Databases
The Dawn of Natural Language to SQL: Are We Fully Ready?
Translating users' natural language questions into SQL queries (i. e., NL2SQL) significantly lowers the barriers to accessing relational databases.
Databases
WhisperX: Time-Accurate Speech Transcription of Long-Form Audio
m-bain/whisperx
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Large-scale, weakly-supervised speech recognition models, such as Whisper, have demonstrated impressive results on speech recognition across domains and languages.
Sound Audio and Speech Processing
Multi-modal Integrated Prediction and Decision-making with Adaptive Interaction Modality Explorations
HKUST-Aerial-Robotics/MIND
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Specifically, MIND leverages learning-based scenario predictions to obtain integrated predictions and decisions with social-consistent interaction modality and utilizes a modality-aware dynamic branching mechanism to generate scenario trees that efficiently capture the evolutions of distinctive interaction modalities with low variation of interaction uncertainty along the planning horizon.
Robotics
GarmentCode: Programming Parametric Sewing Patterns
In our prototype garment configurator, users can manipulate meaningful design parameters and body measurements, while the construction of pattern geometry is handled by garment programs implemented with GarmentCode.
Graphics
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
Quantitative 3D Map Accuracy Evaluation Hardware and Algorithm for LiDAR(-Inertial) SLAM
In this work, we propose a user-independent software/hardware system that can quantitatively evaluate the accuracy of a 3D pointcloud map acquired from LiDAR(-Inertial) SLAM.
Robotics
SLAM2REF: Advancing Long-Term Mapping with 3D LiDAR and Reference Map Integration for Precise 6-DoF Trajectory Estimation and Map Extension
This paper presents a pioneering solution to the task of integrating mobile 3D LiDAR and inertial measurement unit (IMU) data with existing building information models or point clouds, which is crucial for achieving precise long-term localization and mapping in indoor, GPS-denied environments.
Robotics
ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning
Recent advances in LiDAR technology have opened up new possibilities for robotic navigation.
Robotics
