Large Language Models

SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs EMNLP 2025 Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety ACL 2025 SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety AAAI 2025 SAGE: A Generic Framework for LLM Safety Evaluation EMNLP 2025 SAIL: Sample-Centric In-Context Learning for Document Information Extraction AAAI 2025 SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models ICLR 2025 Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition ACL 2025 Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular data SemEval 2025 SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents IJCAI 2025 SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models’ Knowledge of Indian Culture ACL 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025 Sarang at FinCausal 2025: Contextual QA for Financial Causality Detection Combining Extractive and Generative Models COLING 2025 Saudi-Alignment Benchmark: Assessing LLMs Alignment with Cultural Norms and Domain Knowledge in the Saudi Context EMNLP 2025 SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance ICLR 2025 SBU-NLP at SemEval-2025 Task 8: Self-Correction and Collaboration in LLMs for Tabular Question Answering SemEval 2025 Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study EMNLP 2025 Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination EMNLP 2025 Scalable Extraction of Training Data from Aligned, Production Language Models ICLR 2025 Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents CVPR 2025 Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing ACL 2025 Scaling FP8 training to trillion-token LLMs ICLR 2025 Scaling Inference-Efficient Language Models ICML 2025 Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation ICLR 2025 Scaling Large Language Model-based Multi-Agent Collaboration ICLR 2025 Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025