large language model

SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces AAAI 2026 Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis ACL 2026 Safe-Unsafe Concept Separation Emerges from a Single Direction in Language Models Activation Space EACL 2026 SAFO: Stable Adaptive Fairness Optimization for LLM-Based Social Survey Simulation ACL 2026 SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving AAAI 2026 SAGE: A Search-AuGmented Evaluation of Large Language Models on Free-Form QA ACL 2026 SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation ACL 2026 SAHM: A Benchmark for Arabic Financial and Shari’ah-Compliant Reasoning ACL 2026 SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models AAAI 2026 Same Benchmark, Same Subspace: Task-Selective Convergence in LLM Representations UAI 2026 SAME: Safety-Aware Model Editing Guided by Safety Transformation ACL 2026 SARA: Leveraging LLM Agents and Jurisprudential Ontologies for Automated Legal Reasoning AAAI 2026 SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression ACL 2026 SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation AAAI 2026 Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting AAAI 2026 Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study AAAI 2026 Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models CVPR 2026 SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning EACL 2026 ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models ACL 2026 Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning ACL 2026 Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration ACL 2026 Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMs EACL 2026 Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026 Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios AAAI 2026 Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models ACL 2026