ニュース
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...
Online harassment is entering its AI era
Scott Shambaugh didn’t think twice when he denied an AI agent’s request to contribute to...
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 Token Is Enough: Improving Diffusion Language Models with a Sink Token
arXiv:2601.19657v3 Announce Type: replace Abstract: Diffusion Language Models (DLMs) have emerged as a compelling alternative...
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...
On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models
arXiv:2512.13352v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are prone to memorizing training data...
OmniGAIA: Towards Native Omni-Modal AI Agents
arXiv:2602.22897v1 Announce Type: cross Abstract: Human intelligence naturally intertwines omni-modal perception — spanning vision, audio...
OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
arXiv:2603.25105v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable capabilities for complex...
Ollama vs. LM Studio vs. llama.cpp: Which Local AI Runtime Should You Use in 2026?
In this article, you will learn how Ollama, LM Studio, and llama.cpp differ across the...
