:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shevchenko, Egor, Bruches, Elena
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning 68T50
Online Access:	https://arxiv.org/abs/2605.29807
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
by: Richter-Pechanski, Phillip, et al.
Published: (2024)

Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset
by: Abilio, Ramon, et al.
Published: (2024)

Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring
by: Aksoy, Sinan G., et al.
Published: (2026)

A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms
by: Yazdanjue, Navid, et al.
Published: (2025)

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments
by: Zhang, Li, et al.
Published: (2025)

LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering
by: Faisal, Faizan, et al.
Published: (2024)

SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention
by: Yankun, Hong, et al.
Published: (2025)

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing
by: Lai, Kunfeng, 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)

OptPO: Optimal Rollout Allocation for Test-time Policy Optimization
by: Wang, Youkang, et al.
Published: (2025)

Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
by: Kovač, Grgur, et al.
Published: (2025)

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2024)

On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language
by: Tian, Jacob-Junqi, et al.
Published: (2023)

Parameter-Efficient Transformer Embeddings
by: Ndubuaku, Henry, et al.
Published: (2025)

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
by: Nogales, Miguel, et al.
Published: (2025)

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data
by: Seneque, Gareth, et al.
Published: (2026)

Predicting the Geolocation of Tweets Using transformer models on Customized Data
by: Lutsai, Kateryna, et al.
Published: (2023)

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

MultiLegalPile: A 689GB Multilingual Legal Corpus
by: Niklaus, Joel, et al.
Published: (2023)

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
by: Niklaus, Joel, et al.
Published: (2023)

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
by: Niklaus, Joel, et al.
Published: (2024)

Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generation
by: Zhang, Li, et al.
Published: (2025)

One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support
by: Stern, Ronja, et al.
Published: (2023)

SwiLTra-Bench: The Swiss Legal Translation Benchmark
by: Niklaus, Joel, et al.
Published: (2025)

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset
by: S, Santosh T. Y. S., et al.
Published: (2024)

LEXam: Benchmarking Legal Reasoning on 340 Law Exams
by: Fan, Yu, et al.
Published: (2025)

The Meta-Prompting Protocol: Orchestrating LLMs via Adversarial Feedback Loops
by: Fu, Fanzhe
Published: (2025)

KIT-TIP-NLP at MultiPride: Continual Learning with Multilingual Foundation Model
by: HB, Barathi Ganesh, et al.
Published: (2026)

TRUE: A Trustworthy Unified Explanation Framework for Large Language Model Reasoning
by: Yang, Yujiao
Published: (2026)

Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing
by: Rohanian, Omid, et al.
Published: (2023)

Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
by: Rouzegar, Hamdireza, et al.
Published: (2024)

Investigating Distributions of Telecom Adapted Sentence Embeddings for Document Retrieval
by: Roychowdhury, Sujoy, et al.
Published: (2024)

CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization
by: Naznin, Mst. Fahmida Sultana, et al.
Published: (2025)

Lightweight Transformers for Clinical Natural Language Processing
by: Rohanian, Omid, et al.
Published: (2023)

Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
by: Seo, Yeongbin, et al.
Published: (2025)

Aligning Black-box Language Models with Human Judgments
by: Burg, Gerrit J. J. van den, et al.
Published: (2025)

Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs
by: Anshumann, et al.
Published: (2025)

Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of Operations
by: Kim, Seongho, et al.
Published: (2024)

Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
by: Günther, Michael, et al.
Published: (2023)

Bielik v3 Small: Technical Report
by: Ociepa, Krzysztof, et al.
Published: (2025)