Cover Image

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Weizhi, Liu, Xiaorui, Wang, Feiyi, Lu, Dan, Yin, Junqi
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

Direct Multi-Token Decoding
by: Luo, Xuan, et al.
Published: (2025)

Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection
by: Xue, Yihao, et al.
Published: (2025)

Pipelined Decoder for Efficient Context-Aware Text Generation
by: Huang, Zixian, et al.
Published: (2025)

The First Token Knows: Single-Decode Confidence for Hallucination Detection
by: Gabriel, Mina
Published: (2026)

StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns
by: Wan, Luanbo, et al.
Published: (2025)

Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
by: Arteaga, Gabriel Y., et al.
Published: (2024)

Black-Box Hallucination Detection via Consistency Under the Uncertain Expression
by: Joo, Seongho, et al.
Published: (2025)

Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative Decoding
by: Li, Ruanjun, et al.
Published: (2025)

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

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

Towards Long Context Hallucination Detection
by: Liu, Siyi, et al.
Published: (2025)

Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
by: Zhu, Yifan, et al.
Published: (2026)

Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
by: Liu, Qiang, et al.
Published: (2025)

Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
by: Fieback, Laura, et al.
Published: (2025)

SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection
by: Hu, Mengya, et al.
Published: (2024)

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

The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
by: Yin, Hao, et al.
Published: (2025)

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
by: Wu, Yuhe, et al.
Published: (2026)

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents
by: Hu, Tianyu, et al.
Published: (2026)

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
by: Zhang, Haozhen, et al.
Published: (2026)

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding
by: Zhou, Yigeng, et al.
Published: (2026)

Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
by: Kale, Sahil, et al.
Published: (2025)

ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
by: Hou, Zhichao, et al.
Published: (2024)

MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning
by: Nair, Inderjeet, et al.
Published: (2024)

HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
by: Jiang, Xinyan, et al.
Published: (2025)

A New Pipeline For Generating Instruction Dataset via RAG and Self Fine-Tuning
by: Song, Chih-Wei, et al.
Published: (2024)

Relational Linearity is a Predictor of Hallucinations
by: Lu, Yuetian, et al.
Published: (2026)

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
by: Huang, Cheng Peng, et al.
Published: (2025)

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
by: Gema, Aryo Pradipta, et al.
Published: (2024)

SciTrust 2.0: A Comprehensive Framework for Evaluating Trustworthiness of Large Language Models in Scientific Applications
by: Herron, Emily, et al.
Published: (2025)

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
by: Cao, Jiaqi, et al.
Published: (2025)

Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding
by: Wang, Yiming, et al.
Published: (2025)

LLM-Human Pipeline for Cultural Context Grounding of Conversations
by: Pujari, Rajkumar, et al.
Published: (2024)

The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
by: Jamshidi, Saeid, et al.
Published: (2025)

From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
by: Liu, Litian, et al.
Published: (2026)

Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
by: Chang, Chia-Hsuan, et al.
Published: (2024)

Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
by: Li, Taiji, et al.
Published: (2024)

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
by: Wang, Xinglin, et al.
Published: (2024)

Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering
by: Fu, Lei, et al.
Published: (2025)

FaithLens: Detecting and Explaining Faithfulness Hallucination
by: Si, Shuzheng, et al.
Published: (2025)