DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model
9 月 15, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2509.09724v1 Announce Type: new Abstract: Technology opportunities are critical information that serve as a foundation...
Distribution-Aligned Decoding for Efficient LLM Task Adaptation
10 月 14, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2509.15888v3 Announce Type: replace Abstract: Adapting billion-parameter language models to a downstream task is still...
Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation
1 月 9, 2026admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2512.21002v2 Announce Type: replace Abstract: Distilling the capabilities from a large reasoning model (LRM) to...
Distilling Multilingual Vision-Language Models: When Smaller Models Stay Multilingual
10 月 31, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2510.26271v1 Announce Type: new Abstract: Vision-language models (VLMs) exhibit uneven performance across languages, a problem...
Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
1 月 13, 2026admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2601.04377v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has emerged as an important means of...
Digging for clues about the North Pole’s past
4 月 21, 2026admin NUAI,Committee,新闻,Uncategorized(0)In the past, even with an icebreaker and during peak melt season, getting to the...
DiFlow-TTS: Discrete Flow Matching with Factorized Speech Tokens for Low-Latency Zero-Shot Text-To-Speech
9 月 12, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2509.09631v1 Announce Type: cross Abstract: Zero-shot Text-to-Speech (TTS) aims to synthesize high-quality speech that mimics...
Diffusion Language Models Know the Answer Before Decoding
8 月 28, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2508.19982v1 Announce Type: new Abstract: Diffusion language models (DLMs) have recently emerged as an alternative...
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
11 月 3, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2510.27469v1 Announce Type: new Abstract: In recent years, large language models (LLMs) have witnessed remarkable...
