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Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation — a Multilingual Perspective
arXiv:2505.06010v1 Announce Type: new Abstract: Current machine translation models provide us with high-quality outputs in...
Do Multilingual LLMs have specialized language heads?
arXiv:2602.08625v1 Announce Type: new Abstract: Multilingual large language models (LLMs) have gained significant popularity for...
Do LLMs Truly Understand When a Precedent Is Overruled?
arXiv:2510.20941v1 Announce Type: new Abstract: Large language models (LLMs) with extended context windows show promise...
DNACHUNKER: Learnable Tokenization for DNA Language Models
arXiv:2601.03019v1 Announce Type: cross Abstract: DNA language models have emerged as powerful tools for decoding...
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...
