Cover Image

Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Yifan, Rong, Huiqiang, Luo, Haoran
Format:	Preprint
Published:	2026
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

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

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

Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions
by: Liu, Quan, et al.
Published: (2024)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
by: Fadeeva, Ekaterina, et al.
Published: (2024)

Scalable Token-Level Hallucination Detection in Large Language Models
by: Min, Rui, et al.
Published: (2026)

TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
by: Nguyen, Truong, et al.
Published: (2026)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025)

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
by: Liu, Peijie, et al.
Published: (2025)

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

Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVR
by: Zhuang, Haomin, et al.
Published: (2025)

Reflection Pretraining Enables Token-Level Self-Correction in Biological Sequence Models
by: Zhang, Xiang, et al.
Published: (2025)

GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
by: Tan, Hongze, et al.
Published: (2025)

GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
by: Hu, Shijing, et al.
Published: (2025)

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability
by: Lin, Zicheng, et al.
Published: (2024)

TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
by: Wu, Zhaoxuan, et al.
Published: (2025)

Token-Level LLM Collaboration via FusionRoute
by: Xiong, Nuoya, et al.
Published: (2026)

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization
by: Wang, Dixuan, et al.
Published: (2024)

Control Token with Dense Passage Retrieval
by: Lee, Juhwan, 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)

KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications
by: Bommarito, Michael J, et al.
Published: (2025)

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
by: Li, Jiahui, et al.
Published: (2024)

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
by: Zheng, Wenhao, et al.
Published: (2025)

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection
by: Gao, Weizhi, et al.
Published: (2025)

TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching
by: Zeng, Runjia, et al.
Published: (2026)

The Token Tax: Systematic Bias in Multilingual Tokenization
by: Lundin, Jessica M., et al.
Published: (2025)

Sanity Checks for Long-Form Hallucination Detection
by: Zollicoffer, Geigh, et al.
Published: (2026)

Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
by: Moslonka, Charles, et al.
Published: (2025)

Lossless Token Sequence Compression via Meta-Tokens
by: Harvill, John, et al.
Published: (2025)

Token Constraint Decoding Improves Robustness on Question Answering for Large Language Models
by: Yao, Jui-Ming, et al.
Published: (2025)

State over Tokens: Characterizing the Role of Reasoning Tokens
by: Levy, Mosh, et al.
Published: (2025)

Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks
by: Xu, Tianze, et al.
Published: (2026)

ContextGuard: Structured Self-Auditing for Context Learning in Language Models
by: Jin, Hongbo, et al.
Published: (2026)

TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
by: Wu, Wei, et al.
Published: (2024)

Selective Preference Optimization via Token-Level Reward Function Estimation
by: Yang, Kailai, et al.
Published: (2024)

Token-Level Uncertainty-Aware Objective for Language Model Post-Training
by: Liu, Tingkai, et al.
Published: (2025)

Informed Routing in LLMs: Smarter Token-Level Computation for Faster Inference
by: Han, Chao, et al.
Published: (2025)

TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs
by: Xiao, Sibo, et al.
Published: (2025)

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
by: Wu, Jialiang, et al.
Published: (2025)

Next Token Knowledge Tracing: Exploiting Pretrained LLM Representations to Decode Student Behaviour
by: Norris, Max, et al.
Published: (2025)

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
by: Chai, Ziwei, et al.
Published: (2024)