Latest Research in Artificial Intelligence
80 research papers · 2026 median publication year
Top Research Topics in Artificial Intelligence
- Computer Vision and Pattern Recognition — 27 papers
- Artificial Intelligence — 21 papers
- Computation and Language — 19 papers
- Machine Learning — 5 papers
- Multimodal Machine Learning Applications — 3 papers
- Signal Processing — 1 papers
- Air Traffic Management and Optimization — 1 papers
- Instrumentation and Methods for Astrophysics — 1 papers
- Cryptography and Security — 1 papers
- Multisensory perception and integration — 1 papers
Highest-Cited Papers
- Graph-Aware Group Testing with Locally Clustered Infections
- Benchmarking MLLMs via Cognitive Expected Scene Graph for Safety-Critical Visual Negation Understanding
- DocAttriBench: Benchmarking Answer Grounding in Document Visual Question Answering
- Evidence-Carrying Mission Admission Contracts for Natural-Language UAV Task Submission
- EDCT-Bench: Uncovering Faithfulness Gaps in VLMs via Explanation-Driven Counterfactual Testing
- Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering
- CAFE: Self-Improving Search Agents Need Co-Evolving Feedback
- Vision And Text Transformer For Predicting Answerability On Visual Question Answering
- SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination Mitigation
- NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities
- PKSF: A Task-Aware Prior Knowledge Selection and Fusion Framework for TextVQA
- Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning
- V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval
- ChitraMiti: Benchmarking Visual Grounding and Modality Reliance in Bengali Geometric Reasoning
- Scaling Automatic Research Agents via World Models
- OmniHallu: Unified Hallucination Detection for Cross-Modal Comprehension and Generation in Multimodal Large Language Models
- Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach
- BodyCam-VQA: Enhanced Body-Worn Camera Video Captioning via Multimodal Reasoning and Probe Question Generation
- Development of a multimodal english cross-language translation model based on transformer architecture
- HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation