LPFQA: A Long-Tail Professional Forum-based Benchmark for LLM Evaluation
1 月 9, 2026admin NUAI,Committee,新闻,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
11 月 10, 2025admin NUAI,Committee,新闻,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
8 月 4, 2025admin NUAI,Committee,新闻,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
4 月 22, 2026admin NUAI,Committee,新闻,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
12 月 22, 2025admin NUAI,Committee,新闻,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
7 月 16, 2025admin NUAI,Committee,新闻,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
7 月 25, 2025admin NUAI,Committee,新闻,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
9 月 22, 2025admin NUAI,Committee,新闻,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
9 月 25, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2506.00236v2 Announce Type: replace-cross Abstract: Parameter-efficient fine-tuning (PEFT) methods, such as LoRA, offer compact and...
