Cover Image

SparseCL: Sparse Contrastive Learning for Contradiction Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Haike, Lin, Zongyu, Sun, Yizhou, Chang, Kai-Wei, Indyk, Piotr
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Bi-metric Framework for Fast Similarity Search
by: Xu, Haike, et al.
Published: (2024)

CSPLADE: Learned Sparse Retrieval with Causal Language Models
by: Xu, Zhichao, et al.
Published: (2025)

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
by: Xu, Haike, et al.
Published: (2025)

On the Challenges and Opportunities of Learned Sparse Retrieval for Code
by: Lupart, Simon, et al.
Published: (2026)

Mistral-SPLADE: LLMs for better Learned Sparse Retrieval
by: Doshi, Meet, et al.
Published: (2024)

To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval
by: Lionis, Emmanouil Georgios, et al.
Published: (2026)

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
by: Song, Jonghyun, et al.
Published: (2025)

Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector
by: Nguyen, Thong, et al.
Published: (2025)

LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum
by: Xu, Zhichao, et al.
Published: (2026)

AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
by: Lai, Yilong, et al.
Published: (2024)

DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search
by: Lupart, Simon, et al.
Published: (2024)

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search
by: Lupart, Simon, et al.
Published: (2024)

The Role of Vocabularies in Learning Sparse Representations for Ranking
by: Kim, Hiun, et al.
Published: (2025)

GPR: Empowering Generation with Graph-Pretrained Retriever
by: Wang, Xiaochen, et al.
Published: (2025)

Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering
by: Rybak, Piotr, et al.
Published: (2023)

CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
by: Chi, Yizhou, et al.
Published: (2024)

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
by: Suresh, Tarun, et al.
Published: (2024)

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
by: Kalra, Jushaan Singh, et al.
Published: (2025)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
by: Lee, Jinhyuk, et al.
Published: (2023)

A Survey of Generative Information Retrieval
by: Kuo, Tzu-Lin, et al.
Published: (2024)

HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders
by: Yuan, Kun, et al.
Published: (2026)

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains
by: Hishikawa, Ryogo, et al.
Published: (2026)

Learning to Retrieve In-Context Examples for Large Language Models
by: Wang, Liang, et al.
Published: (2023)

Distillation versus Contrastive Learning: How to Train Your Rerankers
by: Xu, Zhichao, et al.
Published: (2025)

Pooling and Semantic Shift: The Fundamental Challenges in Long Text Embedding and Retrieval
by: Gao, Hang, et al.
Published: (2026)

Aligning Multimodal Sequential Recommendations via Robust Direct Preference Optimization with Sparse MoE
by: Huang, Hejin, et al.
Published: (2026)

WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models
by: Chen, Guitao, et al.
Published: (2024)

Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
by: Ai, Wei, et al.
Published: (2024)

GeAR: Generation Augmented Retrieval
by: Liu, Haoyu, et al.
Published: (2025)

Logic Rules as Explanations for Legal Case Retrieval
by: Sun, Zhongxiang, et al.
Published: (2024)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
by: Ma, Luyi, et al.
Published: (2025)

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
by: Shi, Teng, et al.
Published: (2025)

PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
by: Zhang, Kepu, et al.
Published: (2025)

PJB: A Reasoning-Aware Benchmark for Person-Job Retrieval
by: Wang, Guangzhi, et al.
Published: (2026)

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)

Exploiting Duality in Open Information Extraction with Predicate Prompt
by: Chen, Zhen, et al.
Published: (2024)

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
by: Liu, Lingyuan, et al.
Published: (2025)

Training Sparse Mixture Of Experts Text Embedding Models
by: Nussbaum, Zach, et al.
Published: (2025)

RecDCL: Dual Contrastive Learning for Recommendation
by: Zhang, Dan, et al.
Published: (2024)

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis
by: Martins, Bruno, et al.
Published: (2025)