DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model
9月 15, 2025admin NUAI,Committee,ニュース,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,ニュース,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,ニュース,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,ニュース,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,ニュース,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,ニュース,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,ニュース,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,ニュース,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,ニュース,Uncategorized(0)arXiv:2510.27469v1 Announce Type: new Abstract: In recent years, large language models (LLMs) have witnessed remarkable...
