Retrieval Augmented Classification for Confidential Documents
Fuente:
arXiv
Saved in:
| Main Authors: | Chang, Yeseul E., Kailasa, Rahul, Shim, Simon, Oh, Byunghoon, Lee, Jaewoo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection
by: Wang, Jerry, et al.
Published: (2025)
by: Wang, Jerry, et al.
Published: (2025)
What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation
by: Shi, Kainan, et al.
Published: (2025)
by: Shi, Kainan, et al.
Published: (2025)
VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense
by: Wanger, Jascha
Published: (2026)
by: Wanger, Jascha
Published: (2026)
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
by: Belal, Yacine, et al.
Published: (2023)
by: Belal, Yacine, et al.
Published: (2023)
LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented Generation
by: Pradhan, Anu, et al.
Published: (2025)
by: Pradhan, Anu, et al.
Published: (2025)
LLM Reasoning for Cold-Start Item Recommendation
by: Li, Shijun, et al.
Published: (2025)
by: Li, Shijun, et al.
Published: (2025)
Adaptive Defense Orchestration for RAG: A Sentinel-Strategist Architecture against Multi-Vector Attacks
by: Pallerla, Pranav, et al.
Published: (2026)
by: Pallerla, Pranav, et al.
Published: (2026)
Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems
by: Hua, Kai, et al.
Published: (2025)
by: Hua, Kai, et al.
Published: (2025)
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
by: Xian, Xun, et al.
Published: (2024)
by: Xian, Xun, et al.
Published: (2024)
Retrieval Augmented Thought Process for Private Data Handling in Healthcare
by: Pouplin, Thomas, et al.
Published: (2024)
by: Pouplin, Thomas, et al.
Published: (2024)
ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
SALLIE: Safeguarding Against Latent Language & Image Exploits
by: Azov, Guy, et al.
Published: (2026)
by: Azov, Guy, et al.
Published: (2026)
Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model
by: Choi, Sinnyum, et al.
Published: (2025)
by: Choi, Sinnyum, et al.
Published: (2025)
PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding
by: Ayaou, Iliass, et al.
Published: (2025)
by: Ayaou, Iliass, et al.
Published: (2025)
Real-Time RAG for the Identification of Supply Chain Vulnerabilities
by: Ponnock, Jesse, et al.
Published: (2025)
by: Ponnock, Jesse, et al.
Published: (2025)
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment
by: Yadav, Arihan, et al.
Published: (2024)
by: Yadav, Arihan, et al.
Published: (2024)
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
by: Chen, Zerui, et al.
Published: (2026)
by: Chen, Zerui, et al.
Published: (2026)
Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
by: Calonge, David Santandreu, et al.
Published: (2025)
by: Calonge, David Santandreu, et al.
Published: (2025)
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
by: Meghwani, Hansa, et al.
Published: (2025)
by: Meghwani, Hansa, et al.
Published: (2025)
Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025)
by: Young, Richard J., et al.
Published: (2026)
by: Young, Richard J., et al.
Published: (2026)
LENS: A Staged Design for Interaction Granularityin Sequential CTR Prediction
by: Wang, Yuan, et al.
Published: (2026)
by: Wang, Yuan, et al.
Published: (2026)
HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysis
by: Godinez, Alejandro
Published: (2025)
by: Godinez, Alejandro
Published: (2025)
$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)
by: Dang, Kieu, et al.
Published: (2025)
Before the Last Token: Diagnosing Final-Token Safety Probe Failures
by: Doda, Shravan
Published: (2026)
by: Doda, Shravan
Published: (2026)
EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta
by: Bernard, Raymond, et al.
Published: (2024)
by: Bernard, Raymond, et al.
Published: (2024)
Sensitivity Uncertainty Alignment in Large Language Models
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models
by: Yan, Qihang, et al.
Published: (2025)
by: Yan, Qihang, et al.
Published: (2025)
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
by: Bulathwela, Sahan, et al.
Published: (2025)
by: Bulathwela, Sahan, et al.
Published: (2025)
Combating data scarcity in recommendation services: Integrating cognitive types of VARK and neural network technologies (LLM)
by: Zmanovskii, Nikita
Published: (2026)
by: Zmanovskii, Nikita
Published: (2026)
FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance
by: Yu, Hao, et al.
Published: (2026)
by: Yu, Hao, et al.
Published: (2026)
Illuminating the Black Box: Real-Time Monitoring of Backdoor Unlearning in CNNs via Explainable AI
by: Hoang, Tien Dat
Published: (2025)
by: Hoang, Tien Dat
Published: (2025)
SERP Interference Network and Its Applications in Search Advertising
by: Jain, Purak, et al.
Published: (2025)
by: Jain, Purak, et al.
Published: (2025)
FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline
by: Singh, Kuldeep, et al.
Published: (2024)
by: Singh, Kuldeep, et al.
Published: (2024)
IMDMR: An Intelligent Multi-Dimensional Memory Retrieval System for Enhanced Conversational AI
by: Pawar, Tejas, et al.
Published: (2025)
by: Pawar, Tejas, et al.
Published: (2025)
Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning
by: Subedar, Noah, et al.
Published: (2025)
by: Subedar, Noah, et al.
Published: (2025)
NSFL: A Post-Training Neuro-Symbolic Fuzzy Logic Framework for Boolean Operators in Neural Embeddings
by: Vexler, Vladi, et al.
Published: (2026)
by: Vexler, Vladi, et al.
Published: (2026)
Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
by: Stoecker, Theodor, et al.
Published: (2025)
by: Stoecker, Theodor, et al.
Published: (2025)
Evolve: A Persistent Knowledge Lifecycle for Small Language Models
by: Hovagimian, Dikran
Published: (2026)
by: Hovagimian, Dikran
Published: (2026)
Qtok: A Comprehensive Framework for Evaluating Multilingual Tokenizer Quality in Large Language Models
by: Chelombitko, Iaroslav, et al.
Published: (2024)
by: Chelombitko, Iaroslav, et al.
Published: (2024)
Similar Items
-
DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection
by: Wang, Jerry, et al.
Published: (2025) -
What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation
by: Shi, Kainan, et al.
Published: (2025) -
VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense
by: Wanger, Jascha
Published: (2026) -
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
by: Belal, Yacine, et al.
Published: (2023) -
LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented Generation
by: Pradhan, Anu, et al.
Published: (2025)