News
Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation
arXiv:2506.19998v1 Announce Type: new Abstract: REST APIs play important roles in enriching the action space...
Do reasoning models really “think” or not? Apple research sparks lively debate, response
Ultimately, the big takeaway for ML researchers is that before proclaiming an AI milestone—or obituary—make...
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...
