Artificial Intelligence

Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search ACL 2026 Rethinking the Evaluation of Alignment Methods: Insights into Diversity, Generalisation, and Safety EACL 2026 Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance AAAI 2026 Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents ACL 2026 Rethinking Token Reduction for Large Vision-Language Models CVPR 2026 Rethinking Two-Stage Referring-by-Tracking in Referring Multi-Object Tracking: Make it Strong Again CVPR 2026 Rethinking Video-Language Model from the Language Input Perspective AAAI 2026 Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment AAAI 2026 Rethink Representation Learning for Questionnaire Data AAAI 2026 RetouchAgent: Towards Interactive and Explainable Image Retouching with MLLM Agents AAAI 2026 RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward CVPR 2026 ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering ACL 2026 ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants ACL 2026 Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning ACL 2026 Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models ACL 2026 Retrieval-driven Reasoning for Deliberative Visual Classification AAAI 2026 Retrieval Heads are Dynamic ACL 2026 Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models ACL 2026 Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation? CVPR 2026 Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation AAAI 2026 Retrieve-to-Restore: Efficient All-in-One Image Restoration with a Retrieval-Based Degradation Bank CVPR 2026 Retrieving Classes of Causal Orders with Inconsistent Knowledge Bases CLeaR 2026 Retrieving Counterfactuals Improves Visual In-Context Learning CVPR 2026 Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification ACL 2026 RetroLM: Retrieval-Augmented KVs for Long-Context Processing AAAI 2026