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Diversity or Precision? A Deep Dive into Next Token Prediction

arXiv:2512.22955v1 Announce Type: new Abstract: Recent advancements have shown that reinforcement learning (RL) can substantially...

Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models

arXiv:2505.16245v3 Announce Type: replace Abstract: Diverse language model responses are crucial for creative generation, open-ended...

DiVA: Fine-grained Factuality Verification with Agentic-Discriminative Verifier

arXiv:2601.03605v1 Announce Type: new Abstract: Despite the significant advancements of Large Language Models (LLMs), their...

DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model

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

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

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

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

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

In the past, even with an icebreaker and during peak melt season, getting to the...

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