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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking EACL 2026 Are Large Language Models Economically Viable for Industry Deployment? ACL 2026 Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization ACL 2026 Are Multimodal LLMs Movie Buffs? EACL 2026 Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers EACL 2026 ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System ACL 2026 ARES: Unifying Asymmetric RGB-Event Stereo for Probabilistic Scene Flow Estimation CVPR 2026 Are they lovers or friends? Evaluating LLMs’ Social Reasoning in English and Korean Dialogues ACL 2026 A Review of Incorporating Psychological Theories in LLMs EACL 2026 Are We on the Right Way to Assess Document Retrieval-Augmented Generation? AAAI 2026 Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation CVPR 2026 Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods ACL 2026 ARF-RLHF: Adaptive Reward-Following for RLHF through Emotion-Driven Self-Supervision and Trace-Biased Dynamic Optimization ACL 2026 ArgGenBench: Benchmarking the Complex Controlled Argument Generation Capability of Large Language Models ACL 2026 ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution AAAI 2026 ARGSBASE: A Multi-Agent Interface for Structured Human–AI Deliberation EACL 2026 Argumentation and Judgement Factors: LLM-based Discovery and Application in Insurance Disputes EACL 2026 Argument-Based Consistency in Toxicity Explanations of LLMs EACL 2026 Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility ACL 2026 ARGUS: Argumentation-Based Minimal-Change Repair for Verifiable LLM Self-Explanations UAI 2026 ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior CVPR 2026 ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring ACL 2026 ARGUS: Towards End-to-End Argument Mining with Large Language Models AAAI 2026 ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning ACL 2026 ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning CVPR 2026