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Found 6 papers, 0 papers with code
Enhanced Representation with Contrastive Loss for Long-Tail Query Classification in e-commerce
To solve the above problem, we propose a novel method that leverages an auxiliary module to enhance the representations of long-tail queries by taking advantage of reliable supervised information of variant frequent queries.
Preference as Reward, Maximum Preference Optimization with Importance Sampling
Reinforcement Learning from Human Feedback (RLHF) is a model-based algorithm to optimize preference learning, which first fits a reward model for preference scores and then optimizes the generating policy with an on-policy PPO algorithm to maximize the reward.
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications
The use of smart roadside infrastructure sensors is highly relevant for future applications of connected and automated vehicles.
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval
In detail, ACE-BERT leverages the patch features and pixel features as image representation.
Optimal Delivery with Budget Constraint in E-Commerce Advertising
Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals.
Important Attribute Identification in Knowledge Graph
The knowledge graph(KG) composed of entities with their descriptions and attributes, and relationship between entities, is finding more and more application scenarios in various natural language processing tasks.
