Search Results for author:
Found 7 papers, 3 papers with code
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness
To address this issue, we propose a dual-modal prediction method based on 3D Gaussian sets and sparse points, which balances both spatial location and volumetric structural information, achieving higher accuracy in semantic occupancy prediction.
Attention Heads of Large Language Models: A Survey
Since the advent of ChatGPT, Large Language Models (LLMs) have excelled in various tasks but remain as black-box systems.
Xinyu: An Efficient LLM-based System for Commentary Generation
To address the advanced requirements, we present an argument ranking model for arguments and establish a comprehensive evidence database that includes up-to-date events and classic books, thereby strengthening the substantiation of the evidence with retrieval augmented generation (RAG) technology.
A Unified Framework for Iris Anti-Spoofing: Introducing IrisGeneral Dataset and Masked-MoE Method
Specifically, we utilize the Mixture of Experts (MoE) to fit complex data distributions using multiple sub-neural networks.
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
Reinforcement Learning from Human Feedback (RLHF) is the prevailing approach to ensure Large Language Models (LLMs) align with human values.
Nearest Neighbor Classifier with Margin Penalty for Active Learning
As a result, informative samples in the margin area can not be discovered and AL performance are damaged.
Adaptive Graph Diffusion Networks
Until the date of submission (Aug 26, 2022), AGDNs achieve top-1 performance on the ogbn-arxiv, ogbn-proteins and ogbl-ddi datasets and top-3 performance on the ogbl-citation2 dataset.
Ranked #1 on
Link Property Prediction
on ogbl-citation2
