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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)

Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract) AAAI 2024 Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions ICLR 2024 Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients NeurIPS 2024 Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem ICML 2024 Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024 Fingervein Verification Using Convolutional Multi-Head Attention Network WACV 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms. UAI 2024 FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models ACL 2024 FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models NeurIPS 2024 FIRE: Food Image to REcipe Generation WACV 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 FIRST: Faster Improved Listwise Reranking with Single Token Decoding EMNLP 2024 First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning EMNLP 2024 First-order ANIL provably learns representations despite overparametrisation ICLR 2024 First Steps in Building a Knowledge Base of Mathematical Results ACL 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation EMNLP 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 Fisher Mask Nodes for Language Model Merging COLING 2024 Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models EMNLP 2024 Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language NeurIPS 2024 Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters ACL 2024 Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity AISTATS 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024 FLAIR: Feeding via Long-Horizon AcquIsition of Realistic dishes RSS 2024