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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)

Code Models are Zero-shot Precondition Reasoners NAACL 2024 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs EMNLP 2024 Code Repair with LLMs gives an Exploration-Exploitation Tradeoff NeurIPS 2024 CODE REPRESENTATION LEARNING AT SCALE ICLR 2024 CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation ACL 2024 Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers AAAI 2024 CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation CVPR 2024 CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models ACL 2024 Coeditor: Leveraging Repo-level Diffs for Code Auto-editing ICLR 2024 CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024 Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment IJCAI 2024 CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models ACL 2024 CogAgent: A Visual Language Model for GUI Agents CVPR 2024 CogBench: a large language model walks into a psychology lab ICML 2024 CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering CVPR 2024 CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024 CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics EMNLP 2024 CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024 CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph ACL 2024 Cognitive Bias in Decision-Making with LLMs EMNLP 2024 Cognitive Information Bottleneck: Extracting Minimal Sufficient Cognitive Language Processing Signals COLING 2024 Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking NAACL 2024 Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment ACL 2024