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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)

Evaluating Neural Language Models as Cognitive Models of Language Acquisition EMNLP 2023 Evaluating Object Hallucination in Large Vision-Language Models EMNLP 2023 Evaluating Open-Domain Question Answering in the Era of Large Language Models ACL 2023 Evaluating Open-QA Evaluation NeurIPS 2023 Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain EMNLP 2023 Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NeurIPS 2023 Evaluating pragmatic abilities of image captioners on A3DS ACL 2023 Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications ACL 2023 Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models EMNLP 2023 Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages EACL 2023 Evaluating the Factual Consistency of Large Language Models Through News Summarization ACL 2023 Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023 Evaluating the Knowledge Base Completion Potential of GPT EMNLP 2023 Evaluating the Moral Beliefs Encoded in LLMs NeurIPS 2023 Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension EMNLP 2023 Evaluating the Robustness of Discrete Prompts EACL 2023 Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance NeurIPS 2023 Evaluating Verifiability in Generative Search Engines EMNLP 2023 Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks ICCV 2023 Evaluation for Change ACL 2023 Evaluation of Question Generation Needs More References ACL 2023 Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI IJCAI 2023 Event-Based RGB Sensing With Structured Light WACV 2023 Event Causality Extraction via Implicit Cause-Effect Interactions EMNLP 2023 Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning CVPR 2023