Cover Image

Reinforcement Learning for Latent-Space Thinking in LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Özeren, Enes, Aßenmacher, Matthias
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization
by: Özeren, Enes, et al.
Published: (2025)

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
by: Özeren, Enes, et al.
Published: (2025)

Towards Latent Diffusion Suitable For Text
by: Midavaine, Nesta, et al.
Published: (2026)

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
by: Lan, Guangchen, et al.
Published: (2025)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)

Ambiguity in LLMs is a concept missing problem
by: Hu, Zhibo, et al.
Published: (2025)

Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly
by: Hosseini, Peyman, et al.
Published: (2024)

The Open Source Advantage in Large Language Models (LLMs)
by: Manchanda, Jiya, et al.
Published: (2024)

PowLU: An Activation Function for Stable Pre-Training of LLMs
by: Jiang, Peijie, et al.
Published: (2026)

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback
by: Aponte, Ryan, et al.
Published: (2024)

Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs
by: Feucht, Sheridan, et al.
Published: (2024)

Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs
by: Zhang, Zhaowei, et al.
Published: (2025)

Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs
by: Sun, Luoyang, et al.
Published: (2026)

Control Reinforcement Learning: Interpretable Token-Level Steering of LLMs via Sparse Autoencoder Features
by: Cho, Seonglae, et al.
Published: (2026)

Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts
by: Chourasia, Shivam, et al.
Published: (2026)

Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention
by: Zhan, Zhihao, et al.
Published: (2025)

PersonalLLM: Tailoring LLMs to Individual Preferences
by: Zollo, Thomas P., et al.
Published: (2024)

When Models Can't Follow: Testing Instruction Adherence Across 256 LLMs
by: Young, Richard J., et al.
Published: (2025)

CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models
by: Hosseini, Peyman, et al.
Published: (2025)

Influence-driven Curriculum Learning for Pre-training on Limited Data
by: Schoenegger, Loris, et al.
Published: (2025)

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment
by: Zhang, Yizhuo, et al.
Published: (2025)

MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning
by: Wang, Xujia, et al.
Published: (2024)

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
by: Tian, Changxin, et al.
Published: (2025)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

Engineering A Large Language Model From Scratch
by: Oketunji, Abiodun Finbarrs
Published: (2024)

Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
by: Chen, Zizhe, et al.
Published: (2026)

Continuous-Depth Transformers with Learned Control Dynamics
by: Jemley, Peter
Published: (2026)

Uncovering Latent Human Wellbeing in Language Model Embeddings
by: Freire, Pedro, et al.
Published: (2024)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy
by: Lan, Guangchen, et al.
Published: (2026)

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning
by: Steele, Brady
Published: (2026)

Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility
by: Szilvasy, Gergely, et al.
Published: (2026)

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation
by: Wang, Shouren, et al.
Published: (2026)

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
by: Lyu, Bohan, et al.
Published: (2024)

Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding
by: Feng, Qi, et al.
Published: (2025)

MMSciBench: Benchmarking Language Models on Chinese Multimodal Scientific Problems
by: Ye, Xinwu, et al.
Published: (2025)

Interpreto: An Explainability Library for Transformers
by: Poché, Antonin, et al.
Published: (2025)

GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge
by: Dugan, Liam, et al.
Published: (2025)

Reconstructing Syllable Sequences in Abugida Scripts with Incomplete Inputs
by: Thu, Ye Kyaw, et al.
Published: (2025)