Notizie
Notizie
SGPO: Self-Generated Preference Optimization based on Self-Improver
arXiv:2507.20181v1 Announce Type: new Abstract: Large language models (LLMs), despite their extensive pretraining on diverse...
SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
arXiv:2509.20758v3 Announce Type: replace Abstract: Supervised Fine-Tuning (SFT) on domain-specific datasets is a common approach...
SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding
arXiv:2507.20185v1 Announce Type: new Abstract: Session history is a common way of recording user interacting...
ServiceNow AI Releases Apriel-1.5-15B-Thinker: An Open-Weights Multimodal Reasoning Model that Hits Frontier-Level Performance on a Single-GPU Budget
ServiceNow AI Research Lab has released Apriel-1.5-15B-Thinker, a 15-billion-parameter open-weights multimodal reasoning model trained with...
ServiceNow AI Released Apriel-Nemotron-15b-Thinker: A Compact Yet Powerful Reasoning Model Optimized for Enterprise-Scale Deployment and Efficiency
AI models today are expected to handle complex tasks such as solving mathematical problems, interpreting...
Sequence graphs realizations and ambiguity in language models
arXiv:2402.08830v2 Announce Type: replace-cross Abstract: Several popular language models represent local contexts in an input...
Sentiment-Aware Recommendation Systems in E-Commerce: A Review from a Natural Language Processing Perspective
arXiv:2505.03828v1 Announce Type: cross Abstract: E-commerce platforms generate vast volumes of user feedback, such as...
Sentient AI Releases ROMA: An Open-Source and AGI Focused Meta-Agent Framework for Building AI Agents with Hierarchical Task Execution
Sentient AI has released ROMA (Recursive Open Meta-Agent), an open-source meta-agent framework for building high-performance...
Semi-Supervised Learning for Large Language Models Safety and Content Moderation
arXiv:2512.21107v1 Announce Type: new Abstract: Safety for Large Language Models (LLMs) has been an ongoing...
Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring “Tortured Phrases” in Scientific Literature
arXiv:2512.10435v1 Announce Type: new Abstract: The integrity and reliability of scientific literature is facing a...
Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding
arXiv:2504.00409v2 Announce Type: replace Abstract: Large language models (LLMs) have greatly improved their capability in...
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
arXiv:2502.06130v2 Announce Type: replace-cross Abstract: While recent Large Vision-Language Models (LVLMs) have shown remarkable performance...


