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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
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'25

Papers (including subtopics)

From Large Language Models to Large Action Models: Reasoning and Planning with Physical World Knowledge AAAI 2025 From Lists to Emojis: How Format Bias Affects Model Alignment ACL 2025 From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection ICML 2025 From Long to Lean: Performance-aware and Adaptive Chain-of-Thought Compression via Multi-round Refinement EMNLP 2025 From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding EMNLP 2025 From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications ICML 2025 From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models ACL 2025 From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models ICML 2025 From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs ACL 2025 From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks IJCNLP 2025 From Movement Memories to Robotic Dialogue: A Language-Mediated Pipeline for Somatic Machine Translation NeurIPS 2025 From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons CVPR 2025 From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment ACL 2025 From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling EMNLP 2025 From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation ACL 2025 From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning ICCV 2025 From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs ACL 2025 From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment ACL 2025 From Panels to Prose: Generating Literary Narratives from Comics ICCV 2025 From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025 From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? ICML 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025 From Perception to Reasoning: Enhancing Vision-Language Models for Mobile UI Understanding ACL 2025 From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations EMNLP 2025