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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...
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 and Better LLMs via Latency-Aware Test-Time Scaling
arXiv:2505.19634v4 Announce Type: replace Abstract: Test-Time Scaling (TTS) has proven effective in improving the performance...
Fast, Slow, and Tool-augmented Thinking for LLMs: A Review
arXiv:2508.12265v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable progress in reasoning...
