Copertina

CAISSON: Concept-Augmented Inference Suite of Self-Organizing Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Halperin, Igor
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Self-Augmented In-Context Learning for Unsupervised Word Translation
di: Li, Yaoyiran, et al.
Pubblicazione: (2024)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
di: Srinivas, Sakhinana Sagar, et al.
Pubblicazione: (2025)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
di: Xu, Ran, et al.
Pubblicazione: (2024)

PaCE: Parsimonious Concept Engineering for Large Language Models
di: Luo, Jinqi, et al.
Pubblicazione: (2024)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
di: Naseh, Ali, et al.
Pubblicazione: (2025)

CoRAG: Collaborative Retrieval-Augmented Generation
di: Muhamed, Aashiq, et al.
Pubblicazione: (2025)

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
di: Jung, Dongwon, et al.
Pubblicazione: (2024)

Retrieval Augmented Generation for Domain-specific Question Answering
di: Sharma, Sanat, et al.
Pubblicazione: (2024)

Optimization of Retrieval-Augmented Generation Context with Outlier Detection
di: Bulgakov, Vitaly
Pubblicazione: (2024)

From Topic to Transition Structure: Unsupervised Concept Discovery at Corpus Scale via Predictive Associative Memory
di: Dury, Jason
Pubblicazione: (2026)

Reducing hallucination in structured outputs via Retrieval-Augmented Generation
di: Béchard, Patrice, et al.
Pubblicazione: (2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
di: Dong, Guanting, et al.
Pubblicazione: (2024)

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
di: Wang, Boxin, et al.
Pubblicazione: (2023)

Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms
di: Granata, Francesco, et al.
Pubblicazione: (2025)

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
di: Remaki, Adam, et al.
Pubblicazione: (2026)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
di: Zhang, Chenghao, et al.
Pubblicazione: (2025)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
di: Yu, Yue, et al.
Pubblicazione: (2024)

Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
di: Xu, Austin, et al.
Pubblicazione: (2024)

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
di: Fleischer, Daniel, et al.
Pubblicazione: (2024)

Retrieval-Augmented Multi-LLM Ensemble for Industrial Part Specification Extraction
di: Mohammed, Muzakkiruddin Ahmed, et al.
Pubblicazione: (2025)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
di: Peng, Zhiyuan, et al.
Pubblicazione: (2023)

MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
di: Kwon, Daeyong, et al.
Pubblicazione: (2025)

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
di: Baek, Jinheon, et al.
Pubblicazione: (2023)

Augmenting Knowledge Graph Hierarchies Using Neural Transformers
di: Sharma, Sanat, et al.
Pubblicazione: (2024)

Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
di: Ghashami, Mina, et al.
Pubblicazione: (2024)

Retrieval Augmented Structured Generation: Business Document Information Extraction As Tool Use
di: Cesista, Franz Louis, et al.
Pubblicazione: (2024)

LML-DAP: Language Model Learning a Dataset for Data-Augmented Prediction
di: Vadlapati, Praneeth
Pubblicazione: (2024)

RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
di: Bai, Yang, et al.
Pubblicazione: (2025)

Ground-Truth Subgraphs for Better Training and Evaluation of Knowledge Graph Augmented LLMs
di: Cattaneo, Alberto, et al.
Pubblicazione: (2025)

Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation
di: Ali, Nurshat Fateh, et al.
Pubblicazione: (2024)

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
di: Zhang, Hengran, et al.
Pubblicazione: (2025)

SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
di: Yang, Yuxin, et al.
Pubblicazione: (2026)

ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering
di: Kwon, Daeyong, et al.
Pubblicazione: (2025)

Explainable Lane Change Prediction for Near-Crash Scenarios Using Knowledge Graph Embeddings and Retrieval Augmented Generation
di: Manzour, M., et al.
Pubblicazione: (2025)

Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
di: Kim, Wongyu, et al.
Pubblicazione: (2025)

DIVE: Embedding Compression via Self-Limiting Gradient Updates
di: Zhao, Dongfang
Pubblicazione: (2026)

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
di: Xu, Ran, et al.
Pubblicazione: (2025)

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
di: Liu, Yu-An, et al.
Pubblicazione: (2024)

Scaling Laws for Many-Shot In-Context Learning with Self-Generated Annotations
di: Gu, Zhengyao, et al.
Pubblicazione: (2025)

JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase
di: Ding, Wanying, et al.
Pubblicazione: (2024)