新闻
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 Qwen3 with LoRA Using NVIDIA NeMo AutoModel: A Complete Single-GPU Google Colab Workflow Tutorial
In this tutorial, we build an end-to-end NVIDIA NeMo AutoModel workflow in Google Colab and...
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...
FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models
arXiv:2507.20924v1 Announce Type: new Abstract: Sexism has become widespread on social media and in online...
FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow Matching
arXiv:2502.11128v2 Announce Type: replace Abstract: To advance continuous-valued token modeling and temporal-coherence enforcement, we propose...
FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs
LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as...
Feedback Indicators: The Alignment between Llama and a Teacher in Language Learning
arXiv:2508.11364v1 Announce Type: new Abstract: Automated feedback generation has the potential to enhance students’ learning...
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs
arXiv:2603.02830v1 Announce Type: new Abstract: Predicting future student responses to questions is particularly valuable for...
