Cover Image

HALT-RAG: A Task-Adaptable Framework for Hallucination Detection with Calibrated NLI Ensembles and Abstention

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goswami, Saumya, Kurra, Siddharth
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HALT: Hallucination Assessment via Log-probs as Time series
by: Shapiro, Ahmad, et al.
Published: (2026)

LettuceDetect: A Hallucination Detection Framework for RAG Applications
by: Kovács, Ádám, et al.
Published: (2025)

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
by: Tomani, Christian, et al.
Published: (2024)

Mitigating LLM Hallucinations via Conformal Abstention
by: Yadkori, Yasin Abbasi, et al.
Published: (2024)

I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation
by: Zong, Haotian, et al.
Published: (2026)

High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
by: Franzmeyer, Tim, et al.
Published: (2025)

HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection
by: Abdallah, Mohamed A., et al.
Published: (2025)

Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
by: Nguyen, Vy, et al.
Published: (2025)

Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
by: Taş, Selva, et al.
Published: (2025)

Removal of Hallucination on Hallucination: Debate-Augmented RAG
by: Hu, Wentao, et al.
Published: (2025)

TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
by: Lu, Pengqian, et al.
Published: (2025)

PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
by: Harary, Sapir, et al.
Published: (2025)

Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
by: Zhai, Skylar, et al.
Published: (2026)

Calibrated Language Models Must Hallucinate
by: Kalai, Adam Tauman, et al.
Published: (2023)

Lost in the Logic: An Evaluation of Large Language Models' Reasoning Capabilities on LSAT Logic Games
by: Malik, Saumya
Published: (2024)

FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain
by: Liu, Jin, et al.
Published: (2024)

Don't Fight Hallucinations, Use Them: Estimating Image Realism using NLI over Atomic Facts
by: Rykov, Elisei, et al.
Published: (2025)

LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation
by: Hu, Haichuan, et al.
Published: (2024)

Second Guess: Detecting Uncertainty Through Abstention and Answer Stability in Small Language Models
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)

Knowledge Graph Guided Evaluation of Abstention Techniques
by: Vasisht, Kinshuk, et al.
Published: (2024)

XNLIeu: a dataset for cross-lingual NLI in Basque
by: Heredia, Maite, et al.
Published: (2024)

Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
by: Chen, Baiyu, et al.
Published: (2025)

The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
by: Sinha, Debu
Published: (2025)

Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)

Knowing When Not to Answer: Abstention-Aware Scientific Reasoning
by: Abdaljalil, Samir, et al.
Published: (2026)

HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
by: Emery, Deanna, et al.
Published: (2025)

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
by: Quan, Xin, et al.
Published: (2025)

Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
by: Wen, Zhiyuan, et al.
Published: (2024)

Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA
by: Baqar, Mohammad, et al.
Published: (2025)

Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
by: Dey, Prasenjit, et al.
Published: (2025)

ProgRAG: Hallucination-Resistant Progressive Retrieval and Reasoning over Knowledge Graphs
by: Park, Minbae, et al.
Published: (2025)

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali
by: Adib, Shefayat E Shams, et al.
Published: (2026)

SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection
by: Rykov, Elisei, et al.
Published: (2024)

Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis
by: Ricco, Emanuele, et al.
Published: (2025)

MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing
by: Negru, Vlad Andrei, et al.
Published: (2025)

An Audit on the Perspectives and Challenges of Hallucinations in NLP
by: Venkit, Pranav Narayanan, et al.
Published: (2024)

HalluGraph: Auditable Hallucination Detection for Legal RAG Systems via Knowledge Graph Alignment
by: Noël, Valentin, et al.
Published: (2025)

AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters
by: Dwivedi, Kaushik, et al.
Published: (2025)

Hybrid-NL2SVA: Integrating RAG and Finetuning for LLM-based NL2SVA
by: Xiao, Weihua, et al.
Published: (2025)

NL-Eye: Abductive NLI for Images
by: Ventura, Mor, et al.
Published: (2024)