Efficient Low-Rank Index Routing for High-Dimensional Approximate Nearest Neighbor Search

Dependency Relationships-Enhanced Attentive Group Recommendation in HINs

LLM-based Dialogue Labeling for Multiturn Adaptive RAG

REIC: RAG-Enhanced Intent Classification at Scale

Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching

Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces

Joinable Search Over Multi-Source Spatial Datasets: Overlap, Coverage, and Efficiency

Identifying High Consideration E-Commerce Search Queries

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data

Training-free Optimization of Generative Recommender Systems using Large Language Model Optimizers

InstructPTS: Instruction-Tuning LLMs for Product Title Summarization

Multi-Coner V2: A Large Multilingual Dataset for Fine-grained and Noisy Named Entity Recognition

Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search

Answering Unanswered Questions through Semantic Reformulations in Spoken QA

Model-based Unbiased Learning to Rank

Reinforced Question Rewriting for Conversational Question Answering

StruBERT: Structure-aware BERT for Table Search and Matching

MGNETS: Multi-Graph Neural Networks for Table Search

Neural Ranking Models for Document Retrieval

WTR: A Test Collection for Web Table Retrieval

A Hybrid Deep Model for Learning to Rank Data Tables

Relational Graph Embeddings for Table Retrieval

Towards Knowledge Acquisition of Metadata on AI Progress

Table Search Using a Deep Contextualized Language Model

Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification

Leveraging Schema Labels to Enhance Dataset Search

Generating Schema Labels through Dataset Content Analysis