Copertina

Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Haque, Md. Asraful, Mehdi, Aasar, Mahboob, Maaz, Fatima, Tamkeen
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence 68T27, 68T30, 68T50 I.2.3; I.2.4; I.2.7
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

D-SMART: Enhancing LLM Dialogue Consistency via Dynamic Structured Memory And Reasoning Tree
di: Lei, Xiang, et al.
Pubblicazione: (2025)

Retrieval-Based Multi-Label Legal Annotation: Extensible, Data-Efficient and Hallucination-Free
di: Zhang, Li, et al.
Pubblicazione: (2026)

Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
di: Amamou, Hazem, et al.
Pubblicazione: (2026)

Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
di: Nwokocha, Caleb Princewill
Pubblicazione: (2022)

Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
di: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Pubblicazione: (2025)

DPDisc: From Factoid Questions to Data Product Requests for Open-World Data Product Discovery over Tables and Text
di: Zhang, Liangliang, et al.
Pubblicazione: (2025)

GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
di: Da, Longchao, et al.
Pubblicazione: (2025)

Thinking Longer, Not Always Smarter: Evaluating LLM Capabilities in Hierarchical Legal Reasoning
di: Zhang, Li, et al.
Pubblicazione: (2025)

Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
di: Platzer, André
Pubblicazione: (2024)

Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
di: Gupta, Aayush
Pubblicazione: (2025)

Semantic Modeling for World-Centered Architectures
di: Mantsivoda, Andrei, et al.
Pubblicazione: (2026)

Judgment2vec: Apply Graph Analytics to Searching and Recommendation of Similar Judgments
di: Shao, Hsuan-Lei
Pubblicazione: (2024)

A logic for reasoning with inconsistent knowledge -- A reformulation using nowadays terminology (2024)
di: Roos, Nico
Pubblicazione: (2024)

CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
di: Kaiser, Daniel, et al.
Pubblicazione: (2025)

AgenticAI-DialogGen: Topic-Guided Conversation Generation for Fine-Tuning and Evaluating Short- and Long-Term Memories of LLMs
di: Perera, Manoj Madushanka, et al.
Pubblicazione: (2026)

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
di: Berman, Shmuel, et al.
Pubblicazione: (2024)

Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining
di: Cao, Deyu, et al.
Pubblicazione: (2025)

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics
di: Peyronnet, Antoine, et al.
Pubblicazione: (2026)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
di: Jia, Xiao
Pubblicazione: (2026)

BMAM: Brain-inspired Multi-Agent Memory Framework
di: Li, Yang, et al.
Pubblicazione: (2026)

From Noise to Diversity: Random Embedding Injection in LLM Reasoning
di: Kim, Heejun, et al.
Pubblicazione: (2026)

Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology
di: Da, Longchao, et al.
Pubblicazione: (2025)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
di: Yang, Yibo
Pubblicazione: (2025)

On measuring grounding and generalizing grounding problems
di: Quigley, Daniel, et al.
Pubblicazione: (2025)

LLM-supported document separation for printed reviews from zbMATH Open
di: Pluzhnikov, Ivan, et al.
Pubblicazione: (2026)

CLEV: LLM-Based Evaluation Through Lightweight Efficient Voting for Free-Form Question-Answering
di: Badshah, Sher, et al.
Pubblicazione: (2025)

Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency
di: Mishra, Anurag
Pubblicazione: (2024)

A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights
di: Otal, Hakan T., et al.
Pubblicazione: (2024)

Do LLMs Truly Understand When a Precedent Is Overruled?
di: Zhang, Li, et al.
Pubblicazione: (2025)

PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning
di: Qiu, Xiaoqi, et al.
Pubblicazione: (2024)

From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction
di: Petrov, Alex, et al.
Pubblicazione: (2026)

TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understanding
di: Zhang, Junwen, et al.
Pubblicazione: (2025)

Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models
di: Cao, Deyu, et al.
Pubblicazione: (2026)

Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering
di: Chen, Tiejin, et al.
Pubblicazione: (2026)

Harnessing non-adversarial robustness in large language models
di: Zhou, Qinghua, et al.
Pubblicazione: (2026)

How much do LLMs learn from negative examples?
di: Hamdan, Shadi, et al.
Pubblicazione: (2025)

Communicative Agents for Slideshow Storytelling Video Generation based on LLMs
di: Fan, Jingxing, et al.
Pubblicazione: (2025)

An Epidemiological Knowledge Graph extracted from the World Health Organization's Disease Outbreak News
di: Consoli, Sergio, et al.
Pubblicazione: (2025)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
di: Basu, Abhinaba
Pubblicazione: (2026)

MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare
di: Wang, Yihao, et al.
Pubblicazione: (2026)