Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
The Counterfactuals at SemEval-2026 Task 9: Can Counterfactually-Inspired Preprocessing help Detect Polarization?
SemEval 2026
The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning
EACL 2026
The Data Frontier for Large Language Models: Selection, Synthesis, and Tools
ACL 2026
The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning
EACL 2026
The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness
ACL 2026
The Doctor Will Agree With You Now: Sycophancy of Large Language Models in Multi-Turn Medical Conversations
EACL 2026
The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for Shortcuts
EACL 2026
The Dominance of Text Space: Unveiling the Asymmetric Nature of Cross-Modal Alignment in Large Language Models
ACL 2026
The Emotional Baby Is Truly Deadly: Does Your Multimodal Large Reasoning Model Have Emotional Flattery Towards Humans?
AAAI 2026
The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods
EACL 2026
The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All
AAAI 2026
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
ACL 2026
The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence
AAAI 2026
The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going?
AAAI 2026
The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models
ACL 2026
The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks
AAAI 2026
The Generalised Kernel Covariance Measure
CLeaR 2026
The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models
CVPR 2026
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
EACL 2026
The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models
ACL 2026
The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation
CVPR 2026
The Imperfective Paradox in Large Language Models
ACL 2026
The “Knowledge–Behavior Gap” in Cultural Taboo Safety of Large Language Models
ACL 2026
The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition
CVPR 2026
The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge
MIDL 2026