Cover Image

An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sajja, Ramteja, Sermet, Yusuf, Demir, Ibrahim
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Education
by: Sajja, Ramteja, et al.
Published: (2023)

Enhancing Collective Intelligence in Large Language Models Through Emotional Integration
by: Kadiyala, Likith, et al.
Published: (2025)

Evaluating AI-Powered Learning Assistants in Engineering Higher Education: Student Engagement, Ethical Challenges, and Policy Implications
by: Sajja, Ramteja, et al.
Published: (2025)

Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
by: Sajja, Ramteja, et al.
Published: (2023)

Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
by: Sajja, Ramteja, et al.
Published: (2024)

Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented Generation
by: Yalavarthi, Surya Vardhan
Published: (2026)

An Empirical Evaluation of Large Language Models on Consumer Health Questions
by: Abrar, Moaiz, et al.
Published: (2024)

NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
by: Shachar, Or, et al.
Published: (2025)

LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
by: Ahmadi, Narges Baba, et al.
Published: (2026)

One Model Is Enough: Native Retrieval Embeddings from LLM Agent Hidden States
by: Jiang, Bo
Published: (2026)

TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval
by: Ezerceli, Özay, et al.
Published: (2025)

Spectral Tempering for Embedding Compression in Dense Passage Retrieval
by: Li, Yongkang, et al.
Published: (2026)

ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
by: Ferraretto, Fernando, et al.
Published: (2024)

Robustness Risk of Conversational Retrieval: Identifying and Mitigating Noise Sensitivity in Qwen3-Embedding Model
by: Chen, Weishu, et al.
Published: (2026)

Improving Embedding Accuracy for Document Retrieval Using Entity Relationship Maps and Model-Aware Contrastive Sampling
by: Aviss, Thea
Published: (2024)

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
by: Siriwardhana, Shamane, et al.
Published: (2022)

Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
by: Zhang, Yunyi, et al.
Published: (2025)

Comparing Knowledge Sources for Open-Domain Scientific Claim Verification
by: Vladika, Juraj, et al.
Published: (2024)

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
by: Sawarkar, Kunal, et al.
Published: (2024)

Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems
by: Pham, Hoang, et al.
Published: (2025)

A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval
by: Dalal, Dhairya, et al.
Published: (2025)

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning
by: Sun, Yiqun, et al.
Published: (2025)

RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
by: Köse, Süha Kağan, et al.
Published: (2026)

Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications
by: Khanna, Sujit, et al.
Published: (2024)

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
by: Yu, Shuo, et al.
Published: (2024)

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
by: Merrick, Luke, et al.
Published: (2024)

Benchmarking Information Retrieval Models on Complex Retrieval Tasks
by: Killingback, Julian, et al.
Published: (2025)

VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering
by: Košprdić, Miloš, et al.
Published: (2026)

Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents
by: Choe, Jaeyoung, et al.
Published: (2025)

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval
by: Pang, Ming, et al.
Published: (2025)

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
by: Tang, Qiaoyu, et al.
Published: (2024)

Quantifying Positional Biases in Text Embedding Models
by: Lee, Reagan J., et al.
Published: (2024)

OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources
by: Baek, Jinheon, et al.
Published: (2026)

S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
by: Fu, Rong, et al.
Published: (2026)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)

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

Length-Induced Embedding Collapse in PLM-based Models
by: Zhou, Yuqi, et al.
Published: (2024)

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
by: Mo, Fengran, et al.
Published: (2026)

DRAMA: Unifying Data Retrieval and Analysis for Open-Domain Analytic Queries
by: Hu, Chuxuan, et al.
Published: (2025)