Cover Image

Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kovač, Grgur, Perez, Jérémy, Portelas, Rémy, Dominey, Peter Ford, Oudeyer, Pierre-Yves
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language 68T50 I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stick to your Role! Stability of Personal Values Expressed in Large Language Models
by: Kovač, Grgur, et al.
Published: (2024)

When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings
by: Perez, Jérémy, et al.
Published: (2024)

Cultural evolution in populations of Large Language Models
by: Perez, Jérémy, et al.
Published: (2024)

How much do LLMs learn from negative examples?
by: Hamdan, Shadi, et al.
Published: (2025)

Can LLMs Compute with Reasons?
by: Sandilya, Harshit, et al.
Published: (2024)

Towards Effective and Efficient Continual Pre-training of Large Language Models
by: Chen, Jie, et al.
Published: (2024)

Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
by: Anam, Rizal Khoirul
Published: (2025)

Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing
by: Fernández-González, Daniel, et al.
Published: (2026)

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs
by: Fang, Xi, et al.
Published: (2025)

LLMs for Legal Subsumption in German Employment Contracts
by: Wardas, Oliver, et al.
Published: (2025)

Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs
by: Balter, Samuel G., et al.
Published: (2026)

When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
by: Wang, Yongjie, et al.
Published: (2025)

Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
by: Li, Shengrui, et al.
Published: (2026)

Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation
by: Kriman, N. E.
Published: (2024)

Empowering Tabular Data Preparation with Language Models: Why and How?
by: Chen, Mengshi, et al.
Published: (2025)

The Unlikely Duel: Evaluating Creative Writing in LLMs through a Unique Scenario
by: Gómez-Rodríguez, Carlos, et al.
Published: (2024)

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
by: Seo, Yeongbin, et al.
Published: (2024)

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
by: Fang, Xi, et al.
Published: (2024)

Exploring Italian sentence embeddings properties through multi-tasking
by: Nastase, Vivi, et al.
Published: (2024)

Do LLMs have a Gender (Entropy) Bias?
by: Prabhune, Sonal, et al.
Published: (2025)

Multi-Model Synthetic Training for Mission-Critical Small Language Models
by: Platt, Nolan, et al.
Published: (2025)

Analysis on distribution and clustering of weight
by: Ye, Chunming, et al.
Published: (2025)

Communicative Agents for Slideshow Storytelling Video Generation based on LLMs
by: Fan, Jingxing, et al.
Published: (2025)

LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration
by: Otal, Hakan T., et al.
Published: (2024)

A Study into Investigating Temporal Robustness of LLMs
by: Wallat, Jonas, et al.
Published: (2025)

MicroRemed: Benchmarking LLMs in Microservices Remediation
by: Zhang, Lingzhe, et al.
Published: (2025)

Pun Unintended: LLMs and the Illusion of Humor Understanding
by: Zangari, Alessandro, et al.
Published: (2025)

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
by: Ferdousi, Rahatara, et al.
Published: (2025)

Towards Probabilistic Question Answering Over Tabular Data
by: Shen, Chen, et al.
Published: (2025)

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs
by: Alam, Firoj, et al.
Published: (2025)

Can Watermarked LLMs be Identified by Users via Crafted Prompts?
by: Liu, Aiwei, et al.
Published: (2024)

AVEC: Bootstrapping Privacy for Local LLMs
by: Gaikwad, Madhava
Published: (2025)

$FastDoc$: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy
by: Nandy, Abhilash, et al.
Published: (2023)

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
by: Orgad, Hadas, et al.
Published: (2024)

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
by: Huang, Donghao, et al.
Published: (2026)

MORABLES: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables
by: Marcuzzo, Matteo, et al.
Published: (2025)

Bi-Attention HateXplain : Taking into account the sequential aspect of data during explainability in a multi-task context
by: Mondjo, Ghislain Dorian Tchuente
Published: (2026)

Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation
by: Vasilev, Stefan, et al.
Published: (2025)

Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders
by: Lequeu, Pierre-Antoine, et al.
Published: (2026)

Cognitive Workspace: Active Memory Management for LLMs -- An Empirical Study of Functional Infinite Context
by: An, Tao
Published: (2025)