Cover Image

Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Krauss, Patrick, Hösch, Jannik, Metzner, Claus, Maier, Andreas, Uhrig, Peter, Schilling, Achim
Format:	Preprint
Published:	2024
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

Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT
by: Banerjee, Awritrojit, et al.
Published: (2025)

Analysis of Argument Structure Constructions in the Large Language Model BERT
by: Ramezani, Pegah, et al.
Published: (2024)

Refusal Behavior in Large Language Models: A Nonlinear Perspective
by: Hildebrandt, Fabian, et al.
Published: (2025)

Analysis and Visualization of Linguistic Structures in Large Language Models: Neural Representations of Verb-Particle Constructions in BERT
by: Kissane, Hassane, et al.
Published: (2024)

Recurrence Resonance -- Noise-Enhanced Dynamics in Recurrent Neural Networks
by: Metzner, Claus, et al.
Published: (2024)

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
by: Metzner, Claus, et al.
Published: (2024)

Organizational Regularities in Recurrent Neural Networks
by: Metzner, Claus, et al.
Published: (2025)

Illuminating the Black Box of Reservoir Computing
by: Metzner, Claus, et al.
Published: (2025)

Structural and dynamical strategies to prevent runaway excitation in reservoir computing
by: Metzner, Claus, et al.
Published: (2026)

Probing Internal Representations of Multi-Word Verbs in Large Language Models
by: Kissane, Hassane, et al.
Published: (2025)

Analysis of Argument Structure Constructions in a Deep Recurrent Language Model
by: Ramezani, Pegah, et al.
Published: (2024)

Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions
by: Krauss, Patrick, et al.
Published: (2025)

Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems
by: Ramezani, Pegah, et al.
Published: (2026)

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study
by: Metzner, Claus, et al.
Published: (2026)

Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language
by: Immertreu, Mathis, et al.
Published: (2026)

Probing for Consciousness in Machines
by: Immertreu, Mathis, et al.
Published: (2024)

Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations
by: Stoewer, Paul, et al.
Published: (2023)

The Predictive Brain: Neural Correlates of Word Expectancy Align with Large Language Model Prediction Probabilities
by: Kölbl, Nikola, et al.
Published: (2025)

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports
by: Pirkelbauer, Peter, et al.
Published: (2025)

Classifying German Language Proficiency Levels Using Large Language Models
by: Ahlers, Elias-Leander, et al.
Published: (2025)

GPT or BERT: why not both?
by: Charpentier, Lucas Georges Gabriel, et al.
Published: (2024)

Moneyball with LLMs: Analyzing Tabular Summarization in Sports Narratives
by: Upadhyay, Ritam, et al.
Published: (2025)

Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT
by: Bhatt, Ahan, et al.
Published: (2024)

Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction
by: Sakaji, Hiroki, et al.
Published: (2024)

Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models
by: Wu, Da, et al.
Published: (2023)

Enhancing Systematic Reviews with Large Language Models: Using GPT-4 and Kimi
by: Kaptur, Dandan Chen, et al.
Published: (2025)

Analyzing Multi-Head Attention on Trojan BERT Models
by: Wang, Jingwei
Published: (2024)

InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline
by: Kugler, Kai, et al.
Published: (2021)

Analyzing User Perceptions of Large Language Models (LLMs) on Reddit: Sentiment and Topic Modeling of ChatGPT and DeepSeek Discussions
by: Katta, Krishnaveni
Published: (2025)

Single layer tiny Co$^4$ outpaces GPT-2 and GPT-BERT
by: Zain, Noor Ul, et al.
Published: (2025)

Multi-objective Representation for Numbers in Clinical Narratives: A CamemBERT-Bio-Based Alternative to Large-Scale LLMs
by: Lompo, Boammani Aser, et al.
Published: (2024)

Enhancing TinyBERT for Financial Sentiment Analysis Using GPT-Augmented FinBERT Distillation
by: Thomas, Graison Jos
Published: (2024)

Enhancing Next-Generation Language Models with Knowledge Graphs: Extending Claude, Mistral IA, and GPT-4 via KG-BERT
by: Chaabene, Nour El Houda Ben, et al.
Published: (2025)

Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline
by: Vogelsang, Andreas, et al.
Published: (2024)

GalleryGPT: Analyzing Paintings with Large Multimodal Models
by: Bin, Yi, et al.
Published: (2024)

From BERT to LLMs: Comparing and Understanding Chinese Classifier Prediction in Language Models
by: Zhang, Ziqi, et al.
Published: (2025)

ConfliBERT: A Language Model for Political Conflict
by: Brandt, Patrick T., et al.
Published: (2024)

Can Language Models Analyze Data? Evaluating Large Language Models for Question Answering over Datasets
by: Xenofontos, Andreas, et al.
Published: (2026)

BERT vs GPT for financial engineering
by: Sharkey, Edward, et al.
Published: (2024)

Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages
by: Brinkmann, Jannik, et al.
Published: (2025)