LPFQA: A Long-Tail Professional Forum-based Benchmark for LLM Evaluation
janvier 9, 2026admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2511.06346v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) perform well on standard reasoning and...
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
novembre 10, 2025admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2510.03222v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has propelled Large Language...
Loss Landscape Degeneracy and Stagewise Development in Transformers
août 4, 2025admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2402.02364v3 Announce Type: replace-cross Abstract: Deep learning involves navigating a high-dimensional loss landscape over the...
Los Angeles is finally going underground
avril 22, 2026admin NUAI,Committee,Actualités,Uncategorized(0)Los Angeles deserves its reputation as the quintessential car city—the rhythms of its 2,200 square...
LookAhead Tuning: Safer Language Models via Partial Answer Previews
décembre 22, 2025admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2503.19041v4 Announce Type: replace Abstract: Fine-tuning enables large language models (LLMs) to adapt to specific...
LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating
juillet 16, 2025admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2412.18424v3 Announce Type: replace-cross Abstract: Large vision language models (LVLMs) have improved the document understanding...
Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models
juillet 25, 2025admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2507.18263v1 Announce Type: new Abstract: Direct speech translation (ST) has garnered increasing attention nowadays, yet...
Localmax dynamics for attention in transformers and its asymptotic behavior
septembre 22, 2025admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2509.15958v1 Announce Type: new Abstract: We introduce a new discrete-time attention model, termed the localmax...
Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
septembre 25, 2025admin NUAI,Committee,Actualités,Uncategorized(0)arXiv:2506.00236v2 Announce Type: replace-cross Abstract: Parameter-efficient fine-tuning (PEFT) methods, such as LoRA, offer compact and...
