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Fingerprint Vector: Enabling Scalable and Efficient Model Fingerprint Transfer via Vector Addition

arXiv:2409.08846v3 Announce Type: replace-cross Abstract: Backdoor-based fingerprinting has emerged as an effective technique for tracing...

FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language

arXiv:2506.20920v1 Announce Type: new Abstract: Pre-training state-of-the-art large language models (LLMs) requires vast amounts of...

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would...

Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3

In this tutorial, we implement an end-to-end supervised fine-tuning pipeline for the XYZ-Aquila-SFT dataset, Hugging...

Fine-Tuning a BERT Model

This article is divided into two parts; they are: • Fine-tuning a BERT Model for...

Finding My Voice: Generative Reconstruction of Disordered Speech for Automated Clinical Evaluation

arXiv:2509.19231v1 Announce Type: cross Abstract: We present ChiReSSD, a speech reconstruction framework that preserves children...

FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning

arXiv:2506.16123v2 Announce Type: replace Abstract: This paper presents FinCoT, a structured chain-of-thought (CoT) prompting framework...

FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models

arXiv:2505.00725v1 Announce Type: new Abstract: Motivated by the emerging demand in the financial industry for...

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