Saved in:
| Main Authors: | Zavertiaeva, Marina, Parshakov, Petr, Usanin, Mikhail, Smirnov, Aleksei, Paklina, Sofia, Kibardina, Anastasiia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.17993 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies
by: Matkin, Nikita, et al.
Published: (2024)
by: Matkin, Nikita, et al.
Published: (2024)
Strategizing with AI: Insights from a Beauty Contest Experiment
by: Alekseenko, Iuliia, et al.
Published: (2025)
by: Alekseenko, Iuliia, et al.
Published: (2025)
Users Favor LLM-Generated Content -- Until They Know It's AI
by: Parshakov, Petr, et al.
Published: (2025)
by: Parshakov, Petr, et al.
Published: (2025)
Exploring LLM biases to manipulate AI search overview
by: Smirnov, Roman
Published: (2026)
by: Smirnov, Roman
Published: (2026)
Amplifying, Not Learning: Fine-Tuned AI Text Detectors Amplify a Pretrained Direction
by: Smirnov, Alexander
Published: (2026)
by: Smirnov, Alexander
Published: (2026)
Exploring Large Language Models for Detecting Mental Disorders
by: Kuzmin, Gleb, et al.
Published: (2024)
by: Kuzmin, Gleb, et al.
Published: (2024)
Fine-tuning of lightweight large language models for sentiment classification on heterogeneous financial textual data
by: Amorin, Alvaro Paredes, et al.
Published: (2025)
by: Amorin, Alvaro Paredes, et al.
Published: (2025)
Enriching language models with graph-based context information to better understand textual data
by: Roethel, Albert, et al.
Published: (2023)
by: Roethel, Albert, et al.
Published: (2023)
Understanding Student Interaction with AI-Powered Next-Step Hints: Strategies and Challenges
by: Birillo, Anastasiia, et al.
Published: (2025)
by: Birillo, Anastasiia, et al.
Published: (2025)
Not Yet: Humans Outperform LLMs in a Colonel Blotto Tournament
by: Dagaev, Dmitry, et al.
Published: (2026)
by: Dagaev, Dmitry, et al.
Published: (2026)
Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
by: Vertsel, Aliaksei, et al.
Published: (2024)
by: Vertsel, Aliaksei, et al.
Published: (2024)
Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Models
by: Datta, Preetha, et al.
Published: (2024)
by: Datta, Preetha, et al.
Published: (2024)
Enhancing textual textbook question answering with large language models and retrieval augmented generation
by: Alawwad, Hessa Abdulrahman, et al.
Published: (2024)
by: Alawwad, Hessa Abdulrahman, et al.
Published: (2024)
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
by: Kuratov, Yuri, et al.
Published: (2024)
by: Kuratov, Yuri, et al.
Published: (2024)
AspirinSum: an Aspect-based utility-preserved de-identification Summarization framework
by: Li, Ya-Lun
Published: (2024)
by: Li, Ya-Lun
Published: (2024)
Extracting Unlearned Information from LLMs with Activation Steering
by: Seyitoğlu, Atakan, et al.
Published: (2024)
by: Seyitoğlu, Atakan, et al.
Published: (2024)
A survey of textual cyber abuse detection using cutting-edge language models and large language models
by: Diaz-Garcia, Jose A., et al.
Published: (2025)
by: Diaz-Garcia, Jose A., et al.
Published: (2025)
Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features
by: Ahani, Zahra, et al.
Published: (2024)
by: Ahani, Zahra, et al.
Published: (2024)
In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss
by: Kuratov, Yuri, et al.
Published: (2024)
by: Kuratov, Yuri, et al.
Published: (2024)
LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages
by: Gunay, Murat, et al.
Published: (2024)
by: Gunay, Murat, et al.
Published: (2024)
Going over Fine Web with a Fine-Tooth Comb: Technical Report of Indexing Fine Web for Problematic Content Search and Retrieval
by: Marinas, Inés Altemir, et al.
Published: (2025)
by: Marinas, Inés Altemir, et al.
Published: (2025)
Linear probes rely on textual evidence: Results from leakage mitigation studies in language models
by: Boxo, Gerard, et al.
Published: (2025)
by: Boxo, Gerard, et al.
Published: (2025)
Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
by: Vazhentsev, Artem, et al.
Published: (2026)
by: Vazhentsev, Artem, et al.
Published: (2026)
Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
by: Kuzmin, Gleb, et al.
Published: (2024)
by: Kuzmin, Gleb, et al.
Published: (2024)
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages
by: Filip, Tomáš, et al.
Published: (2024)
by: Filip, Tomáš, et al.
Published: (2024)
Concept-aware Data Construction Improves In-context Learning of Language Models
by: Štefánik, Michal, et al.
Published: (2024)
by: Štefánik, Michal, et al.
Published: (2024)
Comparative Analysis of OpenAI GPT-4o and DeepSeek R1 for Scientific Text Categorization Using Prompt Engineering
by: Maiti, Aniruddha, et al.
Published: (2025)
by: Maiti, Aniruddha, et al.
Published: (2025)
Toward universal steering and monitoring of AI models
by: Beaglehole, Daniel, et al.
Published: (2025)
by: Beaglehole, Daniel, et al.
Published: (2025)
Enhancing the De-identification of Personally Identifiable Information in Educational Data
by: Ji, Zilyu, et al.
Published: (2025)
by: Ji, Zilyu, et al.
Published: (2025)
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models
by: Mikula, Lukáš, et al.
Published: (2023)
by: Mikula, Lukáš, et al.
Published: (2023)
ANVIL: Analogies and Videos for Lecturers
by: Noviello, Yuri, et al.
Published: (2026)
by: Noviello, Yuri, et al.
Published: (2026)
MLLMReID: Multimodal Large Language Model-based Person Re-identification
by: Yang, Shan, et al.
Published: (2024)
by: Yang, Shan, et al.
Published: (2024)
Facilitating large language model Russian adaptation with Learned Embedding Propagation
by: Tikhomirov, Mikhail, et al.
Published: (2024)
by: Tikhomirov, Mikhail, et al.
Published: (2024)
Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models
by: Tikhomirov, Mikhail, et al.
Published: (2024)
by: Tikhomirov, Mikhail, et al.
Published: (2024)
Multi-Programming Language Ensemble for Code Generation in Large Language Model
by: Xue, Tengfei, et al.
Published: (2024)
by: Xue, Tengfei, et al.
Published: (2024)
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
by: Seleznyov, Mikhail, et al.
Published: (2025)
by: Seleznyov, Mikhail, et al.
Published: (2025)
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews
by: Burdisso, Sergio, et al.
Published: (2023)
by: Burdisso, Sergio, et al.
Published: (2023)
A Complete Survey on LLM-based AI Chatbots
by: Dam, Sumit Kumar, et al.
Published: (2024)
by: Dam, Sumit Kumar, et al.
Published: (2024)
LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
by: Fadeev, Egor, et al.
Published: (2025)
by: Fadeev, Egor, et al.
Published: (2025)
The why, what, and how of AI-based coding in scientific research
by: Zhuang, Tonghe, et al.
Published: (2024)
by: Zhuang, Tonghe, et al.
Published: (2024)
Similar Items
-
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies
by: Matkin, Nikita, et al.
Published: (2024) -
Strategizing with AI: Insights from a Beauty Contest Experiment
by: Alekseenko, Iuliia, et al.
Published: (2025) -
Users Favor LLM-Generated Content -- Until They Know It's AI
by: Parshakov, Petr, et al.
Published: (2025) -
Exploring LLM biases to manipulate AI search overview
by: Smirnov, Roman
Published: (2026) -
Amplifying, Not Learning: Fine-Tuned AI Text Detectors Amplify a Pretrained Direction
by: Smirnov, Alexander
Published: (2026)