Saved in:
| Main Authors: | Pouryousef, Shahrooz, Montazeralghaem, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.20730 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
by: Elahi, Ali, et al.
Published: (2024)
by: Elahi, Ali, et al.
Published: (2024)
CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025)
by: Muhamed, Aashiq, et al.
Published: (2025)
Quantifying Document Impact in RAG-LLMs
by: Gerami, Armin, et al.
Published: (2025)
by: Gerami, Armin, et al.
Published: (2025)
Knowledge Conflicts for LLMs: A Survey
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
by: Zhu, Yuqi, et al.
Published: (2025)
by: Zhu, Yuqi, et al.
Published: (2025)
A Comparative Study of Specialized LLMs as Dense Retrievers
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
by: Li, Yaoyiran, et al.
Published: (2024)
by: Li, Yaoyiran, et al.
Published: (2024)
Emotional RAG LLMs: Reading Comprehension for the Open Internet
by: Reichman, Benjamin, et al.
Published: (2024)
by: Reichman, Benjamin, et al.
Published: (2024)
TableRAG: Million-Token Table Understanding with Language Models
by: Chen, Si-An, et al.
Published: (2024)
by: Chen, Si-An, et al.
Published: (2024)
OpenSanctions Pairs: Large-Scale Entity Matching with LLMs
by: Smith, Chandler, et al.
Published: (2026)
by: Smith, Chandler, et al.
Published: (2026)
Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding
by: Ramezan, Kimia, et al.
Published: (2025)
by: Ramezan, Kimia, et al.
Published: (2025)
An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs
by: Zhang, Hengran, et al.
Published: (2024)
by: Zhang, Hengran, et al.
Published: (2024)
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)
by: Yu, Yue, et al.
Published: (2024)
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
by: Lee, Chankyu, et al.
Published: (2024)
by: Lee, Chankyu, et al.
Published: (2024)
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)
by: Fleischer, Daniel, et al.
Published: (2024)
Benchmarking pre-trained text embedding models in aligning built asset information
by: Shahinmoghadam, Mehrzad, et al.
Published: (2024)
by: Shahinmoghadam, Mehrzad, et al.
Published: (2024)
Ground-Truth Subgraphs for Better Training and Evaluation of Knowledge Graph Augmented LLMs
by: Cattaneo, Alberto, et al.
Published: (2025)
by: Cattaneo, Alberto, et al.
Published: (2025)
Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based Structures
by: Gupte, Mihir, et al.
Published: (2025)
by: Gupte, Mihir, et al.
Published: (2025)
AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding
by: Bazdyrev, Anton, et al.
Published: (2026)
by: Bazdyrev, Anton, et al.
Published: (2026)
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval
by: Fernandes, Peter, et al.
Published: (2026)
by: Fernandes, Peter, et al.
Published: (2026)
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
by: Xu, Peng, et al.
Published: (2024)
by: Xu, Peng, et al.
Published: (2024)
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media
by: Kikkisetti, Dhanush, et al.
Published: (2024)
by: Kikkisetti, Dhanush, et al.
Published: (2024)
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors
by: Trukhina, Natalia, et al.
Published: (2026)
by: Trukhina, Natalia, et al.
Published: (2026)
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
by: Yin, Jun, et al.
Published: (2024)
by: Yin, Jun, et al.
Published: (2024)
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
by: Zhuang, Jun, et al.
Published: (2024)
by: Zhuang, Jun, et al.
Published: (2024)
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
by: Tiwari, Aman, et al.
Published: (2024)
by: Tiwari, Aman, et al.
Published: (2024)
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes
by: Yehudai, Asaf, et al.
Published: (2024)
by: Yehudai, Asaf, et al.
Published: (2024)
MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
by: Qiang, Zhangcheng, et al.
Published: (2025)
by: Qiang, Zhangcheng, et al.
Published: (2025)
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
by: Sadeghi, Pouya, et al.
Published: (2024)
by: Sadeghi, Pouya, et al.
Published: (2024)
CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
by: Fang, Jizhan, et al.
Published: (2024)
by: Fang, Jizhan, et al.
Published: (2024)
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
by: Zhang, Ningyu, et al.
Published: (2024)
by: Zhang, Ningyu, et al.
Published: (2024)
UQA: Corpus for Urdu Question Answering
by: Arif, Samee, et al.
Published: (2024)
by: Arif, Samee, et al.
Published: (2024)
Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation
by: Ali, Nurshat Fateh, et al.
Published: (2024)
by: Ali, Nurshat Fateh, et al.
Published: (2024)
Evaluation of LLMs for Process Model Analysis and Optimization
by: Kumar, Akhil, et al.
Published: (2025)
by: Kumar, Akhil, et al.
Published: (2025)
PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation
by: Zhou, Wei, et al.
Published: (2025)
by: Zhou, Wei, et al.
Published: (2025)
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
by: Zhu, Yuqi, et al.
Published: (2023)
by: Zhu, Yuqi, et al.
Published: (2023)
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
by: Zhang, Jintian, et al.
Published: (2024)
by: Zhang, Jintian, et al.
Published: (2024)
Similar Items
-
Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
by: Elahi, Ali, et al.
Published: (2024) -
CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025) -
Quantifying Document Impact in RAG-LLMs
by: Gerami, Armin, et al.
Published: (2025) -
Knowledge Conflicts for LLMs: A Survey
by: Xu, Rongwu, et al.
Published: (2024) -
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
by: Zhu, Yuqi, et al.
Published: (2025)