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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 Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration AAAI 2024 A General Protocol to Probe Large Vision Models for 3D Physical Understanding NeurIPS 2024 A General Search-Based Framework for Generating Textual Counterfactual Explanations AAAI 2024 A General Theoretical Framework for Learning Smallest Interpretable Models AAAI 2024 A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024 A Generative Approach for Wikipedia-Scale Visual Entity Recognition CVPR 2024 A Generic Method for Fine-grained Category Discovery in Natural Language Texts EMNLP 2024 AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories EMNLP 2024 AgentBench: Evaluating LLMs as Agents ICLR 2024 AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NeurIPS 2024 AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NeurIPS 2024 Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models ACL 2024 Agent Instructs Large Language Models to be General Zero-Shot Reasoners ICML 2024 Agentive Permissions in Multiagent Systems IJCAI 2024 Agent Lumos: Unified and Modular Training for Open-Source Language Agents ACL 2024 Agent Planning with World Knowledge Model NeurIPS 2024 AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases NeurIPS 2024 Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization ACL 2024 AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents NAACL 2024 AgentReview: Exploring Peer Review Dynamics with LLM Agents EMNLP 2024 AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation EMNLP 2024 Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast ICML 2024 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs ICML 2024 AgentTuning: Enabling Generalized Agent Abilities for LLMs ACL 2024 AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors ICLR 2024