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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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Papers (including subtopics)

LLM-Based Zero-Shot Soft Labeling for Anticipating Disagreement in Negotiation Dialogues ACL 2026 LLM Beliefs Are in Their Heads ACL 2026 LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation EACL 2026 LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction AAAI 2026 LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit AAAI 2026 LLM Collaboration with Multi-Agent Reinforcement Learning AAAI 2026 LLM Collaborative Filtering: User-Item Graph as New Language AAAI 2026 LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models AAAI 2026 LLM-Enabled Scientific Knowledge Diffusion Analysis AAAI 2026 LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs AAAI 2026 LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models ACL 2026 LLM-ForcedAligner: A Non-Autoregressive and Accurate LLM-Based Forced Aligner for Multilingual and Long-Form Speech ACL 2026 LLM-Free Image Captioning Evaluation in Reference-Flexible Settings AAAI 2026 LLM-Generated Text May Harm Your Retrieval! A Robust Detection Strategy for Retrieval-Augmented Generation ACL 2026 LLM-Guided Quantified SMT Solving over Uninterpreted Functions AAAI 2026 LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language Models CVPR 2026 LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight ACL 2026 LLM-Oriented Token-Adaptive Knowledge Distillation AAAI 2026 LLM Parameters for Math Across Languages: Shared or Separate? ACL 2026 LLM Plug-ins Are Not a Free Lunch for Clinical Time-Series Prediction EACL 2026 LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient ACL 2026 LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals ACL 2026 LLM Safety From Within: Detecting Harmful Content with Internal Representations ACL 2026 LLM Safety in Judicial AI: A Stress Test of Social Media Influence on Real-World Judgments AAAI 2026 LLMs (Almost) Never Abstain Under Medical Uncertainty ACL 2026