Search Results for author:
Found 15 papers, 9 papers with code
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving
End-to-End paradigms use a unified framework to implement multi-tasks in an autonomous driving system.
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning
Recent methods try to alleviate the CF problem by modifying models or replaying data, which may only remember the surface-level pattern of instructions and get confused on held-out tasks.
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction
This technical report presents our solution, "occTransformer" for the 3D occupancy prediction track in the autonomous driving challenge at CVPR 2023.
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
In recent years, temporal knowledge graph (TKG) reasoning has received significant attention.
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
Cross-domain recommendation (CDR) has been proven as a promising way to tackle the user cold-start problem, which aims to make recommendations for users in the target domain by transferring the user preference derived from the source domain.
Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
Aspect sentiment quad prediction (ASQP) aims to predict the quad sentiment elements for a given sentence, which is a critical task in the field of aspect-based sentiment analysis.
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
To address these problems, we propose to learn a structured cross-modality latent space to represent pixel features and 3D features via a differentiable probabilistic PnP solver.
FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity
The widespread of generative artificial intelligence has heightened concerns about the potential harms posed by AI-generated texts, primarily stemming from factoid, unfair, and toxic content.
A Boundary Offset Prediction Network for Named Entity Recognition
By leveraging the guiding semantics of boundary offsets, BOPN establishes connections between non-entity and entity spans, enabling non-entity spans to function as additional positive samples for entity detection.
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
Fine-grained entity typing (FET) is an essential task in natural language processing that aims to assign semantic types to entities in text.
Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis
Conversational aspect-based sentiment quadruple analysis (DiaASQ) aims to extract the quadruple of target-aspect-opinion-sentiment within a dialogue.
Fast Learning Radiance Fields by Shooting Much Fewer Rays
Experimental results show that our method achieves comparable accuracy to the state-of-the-art with much faster training.
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval
Natural language (NL) based vehicle retrieval aims to search specific vehicle given text description.
Holistic Parameteric Reconstruction of Building Models from Point Clouds
The airborne LiDAR dataset RoofN3D with predefined roof types is used for our test.
Bifluxon: Fluxon-Parity-Protected Superconducting Qubit
Though the qubit is sensitive to charge noise, the sensitivity is much reduced in comparison with the charge qubit, and the charge-noise-induced dephasing time of the current device exceeds $1 \mu \mathrm{s}$.
Superconductivity Quantum Physics
