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FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design

arXiv:2506.13066v1 Announce Type: new Abstract: Large Multimodal Models (LMMs) demonstrate significant cross-modal reasoning capabilities. However...

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...

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