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OpenAI hits 3M business users and launches workplace tools to take on Microsoft

OpenAI reaches 3 million paying business users with 50% growth since February, launching new workplace...

Open World Knowledge Aided Single-Cell Foundation Model with Robust Cross-Modal Cell-Language Pre-training

arXiv:2601.05648v1 Announce Type: cross Abstract: Recent advancements in single-cell multi-omics, particularly RNA-seq, have provided profound...

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models

arXiv:2507.00898v1 Announce Type: cross Abstract: Recent Large Vision-Language Models (LVLMs) have introduced a new paradigm...

Online-PVLM: Advancing Personalized VLMs with Online Concept Learning

arXiv:2511.20056v1 Announce Type: new Abstract: Personalized Visual Language Models (VLMs) are gaining increasing attention for...

One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient

arXiv:2509.26313v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) is the predominant method for adapting large...

One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models

arXiv:2505.07167v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have been extensively used across diverse...

One Joke to Rule them All? On the (Im)possibility of Generalizing Humor

arXiv:2508.19402v1 Announce Type: new Abstract: Humor is a broad and complex form of communication that...

On the Reliability of Large Language Models for Causal Discovery

arXiv:2407.19638v2 Announce Type: replace Abstract: This study investigates the efficacy of Large Language Models (LLMs)...

On the generalization of language models from in-context learning and finetuning: a controlled study

arXiv:2505.00661v2 Announce Type: replace Abstract: Large language models exhibit exciting capabilities, yet can show surprisingly...

Olica: Efficient Structured Pruning of Large Language Models without Retraining

arXiv:2506.08436v1 Announce Type: new Abstract: Most existing structured pruning methods for Large Language Models (LLMs)...

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