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Found 11 papers, 4 papers with code
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs
Multi-party dialogue generation presents significant challenges due to the complex interplay of multiple speakers and interwoven conversational threads.
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1.
Ranked #2 on
Mathematical Reasoning
on AIME24
DeepSeek-V3 Technical Report
We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.
Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
Industrial anomaly detection (IAD) plays a crucial role in the maintenance and quality control of manufacturing processes.
QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
In recent years, with the significant evolution of multi-modal large models, many recommender researchers realized the potential of multi-modal information for user interest modeling.
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning
To tackle this challenge, we find that a considerable portion of points in the accumulated point cloud is redundant, and discarding these points has minimal impact on perception accuracy.
Diffusion-Based Depth Inpainting for Transparent and Reflective Objects
Transparent and reflective objects, which are common in our everyday lives, present a significant challenge to 3D imaging techniques due to their unique visual and optical properties.
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts
Unlike previous arts, our auto-labeler predicts 3D shapes instead of bounding boxes and does not require training on a specific dataset.
Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
The advent of large language models (LLMs) has significantly advanced various fields, including natural language processing and automated dialogue systems.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
MLA guarantees efficient inference through significantly compressing the Key-Value (KV) cache into a latent vector, while DeepSeekMoE enables training strong models at an economical cost through sparse computation.
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation
Manipulating unseen articulated objects through visual feedback is a critical but challenging task for real robots.
