Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding Layers
Fuente:
arXiv
Saved in:
| Main Authors: | He, Zicong, Zhang, Boxuan, Cheng, Lu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models
by: He, Zicong, et al.
Published: (2025)
by: He, Zicong, et al.
Published: (2025)
Hallucination Detection with the Internal Layers of LLMs
by: Preiß, Martin
Published: (2025)
by: Preiß, Martin
Published: (2025)
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
by: Zhang, Boxuan, et al.
Published: (2025)
by: Zhang, Boxuan, et al.
Published: (2025)
Sparking Scientific Creativity via LLM-Driven Interdisciplinary Inspiration
by: Kargupta, Priyanka, et al.
Published: (2026)
by: Kargupta, Priyanka, et al.
Published: (2026)
Does Less Hallucination Mean Less Creativity? An Empirical Investigation in LLMs
by: Banerjee, Mohor, et al.
Published: (2025)
by: Banerjee, Mohor, et al.
Published: (2025)
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models
by: Li, Chaozhuo, et al.
Published: (2025)
by: Li, Chaozhuo, et al.
Published: (2025)
Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused
by: Chen, Dingwei, et al.
Published: (2024)
by: Chen, Dingwei, et al.
Published: (2024)
Sparks of Cooperative Reasoning: LLMs as Strategic Hanabi Agents
by: Ramesh, Mahesh, et al.
Published: (2026)
by: Ramesh, Mahesh, et al.
Published: (2026)
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
by: Zhang, Hongxiang, et al.
Published: (2025)
by: Zhang, Hongxiang, et al.
Published: (2025)
FiSTECH: Financial Style Transfer to Enhance Creativity without Hallucinations in LLMs
by: Roychowdhury, Sohini, et al.
Published: (2024)
by: Roychowdhury, Sohini, et al.
Published: (2024)
Measuring the Redundancy of Decoder Layers in SpeechLLMs
by: Moumen, Adel, et al.
Published: (2026)
by: Moumen, Adel, et al.
Published: (2026)
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs
by: Tian, Yuan, et al.
Published: (2025)
by: Tian, Yuan, et al.
Published: (2025)
Benford's Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
by: Shao, Jiandong, et al.
Published: (2025)
by: Shao, Jiandong, et al.
Published: (2025)
Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
by: Huang, Cheng Peng, et al.
Published: (2025)
by: Huang, Cheng Peng, et al.
Published: (2025)
Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
by: Bonial, Claire, et al.
Published: (2025)
by: Bonial, Claire, et al.
Published: (2025)
Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection
by: Gao, Weizhi, et al.
Published: (2025)
by: Gao, Weizhi, et al.
Published: (2025)
Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding
by: Hsu, Tzu-wen, et al.
Published: (2025)
by: Hsu, Tzu-wen, et al.
Published: (2025)
SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
by: Wu, Dayong, et al.
Published: (2024)
by: Wu, Dayong, et al.
Published: (2024)
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
by: Ding, Hanxing, et al.
Published: (2024)
by: Ding, Hanxing, et al.
Published: (2024)
Detecting Contextual Hallucinations in LLMs with Frequency-Aware Attention
by: Qi, Siya, et al.
Published: (2026)
by: Qi, Siya, et al.
Published: (2026)
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
by: Lyu, Boxuan, et al.
Published: (2024)
by: Lyu, Boxuan, et al.
Published: (2024)
Dynamic Depth Decoding: Faster Speculative Decoding for LLMs
by: Brown, Oscar, et al.
Published: (2024)
by: Brown, Oscar, et al.
Published: (2024)
CREATE: Testing LLMs for Associative Creativity
by: Wadhwa, Manya, et al.
Published: (2026)
by: Wadhwa, Manya, et al.
Published: (2026)
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers
by: Tang, Zicong, et al.
Published: (2025)
by: Tang, Zicong, et al.
Published: (2025)
Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs
by: Wei, Zeyu, et al.
Published: (2025)
by: Wei, Zeyu, et al.
Published: (2025)
Can LLMs Detect Their Own Hallucinations?
by: Kadotani, Sora, et al.
Published: (2025)
by: Kadotani, Sora, et al.
Published: (2025)
Shared Imagination: LLMs Hallucinate Alike
by: Zhou, Yilun, et al.
Published: (2024)
by: Zhou, Yilun, et al.
Published: (2024)
HalluClean: A Unified Framework to Combat Hallucinations in LLMs
by: Zhao, Yaxin, et al.
Published: (2025)
by: Zhao, Yaxin, et al.
Published: (2025)
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
by: Sun, Zhongxiang, et al.
Published: (2026)
by: Sun, Zhongxiang, et al.
Published: (2026)
Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation
by: Chang, Yurui, et al.
Published: (2025)
by: Chang, Yurui, et al.
Published: (2025)
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)
by: Huang, Yanwen, et al.
Published: (2025)
Look Within, Why LLMs Hallucinate: A Causal Perspective
by: Li, He, et al.
Published: (2024)
by: Li, He, et al.
Published: (2024)
How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models
by: Cuscito, Miriam, et al.
Published: (2024)
by: Cuscito, Miriam, et al.
Published: (2024)
VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs
by: Goel, Raghavv, et al.
Published: (2025)
by: Goel, Raghavv, et al.
Published: (2025)
Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning
by: Liao, Yiming, et al.
Published: (2026)
by: Liao, Yiming, et al.
Published: (2026)
Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs
by: Phillips, Edward, et al.
Published: (2025)
by: Phillips, Edward, et al.
Published: (2025)
Probabilistic Guarantees for Reducing Contextual Hallucinations in LLMs
by: Rautenberg, Nils, et al.
Published: (2026)
by: Rautenberg, Nils, et al.
Published: (2026)
LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation
by: Hu, Haichuan, et al.
Published: (2024)
by: Hu, Haichuan, et al.
Published: (2024)
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
by: Wei, Zhepei, et al.
Published: (2025)
by: Wei, Zhepei, et al.
Published: (2025)
Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs
by: Cheng, Ziling, et al.
Published: (2025)
by: Cheng, Ziling, et al.
Published: (2025)
Similar Items
-
What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models
by: He, Zicong, et al.
Published: (2025) -
Hallucination Detection with the Internal Layers of LLMs
by: Preiß, Martin
Published: (2025) -
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
by: Zhang, Boxuan, et al.
Published: (2025) -
Sparking Scientific Creativity via LLM-Driven Interdisciplinary Inspiration
by: Kargupta, Priyanka, et al.
Published: (2026) -
Does Less Hallucination Mean Less Creativity? An Empirical Investigation in LLMs
by: Banerjee, Mohor, et al.
Published: (2025)