:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bystroński, Mateusz, Piotrowski, Grzegorz, Chawla, Nitesh V., Kajdanowicz, Tomasz
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2508.02452
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SMOTExT: SMOTE meets Large Language Models
by: Bystroński, Mateusz, et al.
Published: (2025)

Geometry of Knowledge Allows Extending Diversity Boundaries of Large Language Models
by: Bystroński, Mateusz, et al.
Published: (2025)

PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing
by: Żurawicki, Krzysztof, et al.
Published: (2026)

Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
by: Binkowski, Jakub, et al.
Published: (2026)

Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)

Class-Aware Contrastive Optimization for Imbalanced Text Classification
by: Khvatskii, Grigorii, et al.
Published: (2024)

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)

Structured Prompt Optimization for Few-Shot Text Classification via Semantic Alignment in Latent Space
by: Zheng, Jiasen, et al.
Published: (2026)

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
by: Guo, Taicheng, et al.
Published: (2026)

Breaking Language Barriers: Equitable Performance in Multilingual Language Models
by: Nagar, Tanay, et al.
Published: (2025)

Hallucination Detection in LLMs Using Spectral Features of Attention Maps
by: Binkowski, Jakub, et al.
Published: (2025)

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

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space
by: Zhang, Guibin, et al.
Published: (2025)

Graph Neural Prompting with Large Language Models
by: Tian, Yijun, et al.
Published: (2023)

Ethology of Latent Spaces
by: Boisnard, Philippe
Published: (2026)

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
by: Meshchaninov, Viacheslav, et al.
Published: (2026)

Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
by: Deng, Jingcheng, et al.
Published: (2026)

Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts
by: Du, Hanwen, et al.
Published: (2025)

The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data
by: Dablain, Damien A., et al.
Published: (2024)

Fast Byte Latent Transformer
by: Kallini, Julie, et al.
Published: (2026)

LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
by: Mura, Raffaele, et al.
Published: (2025)

Lngram: N-gram Conditional Memory in Latent Space
by: Zheng, Yunao, et al.
Published: (2026)

Imagination Helps Visual Reasoning, But Not Yet in Latent Space
by: Li, You, et al.
Published: (2026)

The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
by: Janiak, Denis, et al.
Published: (2025)

Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
by: Tian, Yijun, et al.
Published: (2024)

Learning to Ponder: Adaptive Reasoning in Latent Space
by: He, Yixin, et al.
Published: (2025)

Adaptive Decoding via Latent Preference Optimization
by: Dhuliawala, Shehzaad, et al.
Published: (2024)

Language as a Latent Variable for Reasoning Optimization
by: Wu, Linjuan, et al.
Published: (2026)

KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
by: Ai, Kuangshi, et al.
Published: (2025)

CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
by: Shi, Kaiwen, et al.
Published: (2026)

Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling
by: Meshchaninov, Viacheslav, et al.
Published: (2025)

Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution
by: Alshomary, Milad, et al.
Published: (2024)

Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
by: Sawczyn, Albert, et al.
Published: (2024)

Dynamic Noise Preference Optimization: Self-Improvement of Large Language Models with Self-Synthetic Data
by: Yang, Haoyan, et al.
Published: (2025)

Contextual Categorization Enhancement through LLMs Latent-Space
by: Bettouche, Zineddine, et al.
Published: (2024)

Do Multimodal Large Language Models Understand Welding?
by: Khvatskii, Grigorii, et al.
Published: (2025)

Latent Space Alignment for Semantic Channel Equalization
by: Hüttebräucker, Tomás, et al.
Published: (2024)

Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy
by: Chen, Si, et al.
Published: (2026)

Enhancing Latent Computation in Transformers with Latent Tokens
by: Sun, Yuchang, et al.
Published: (2025)

PonderLM-2: Pretraining LLM with Latent Thoughts in Continuous Space
by: Zeng, Boyi, et al.
Published: (2025)