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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)

Dataset of News Articles with Provenance Metadata for Media Relevance Assessment ACL 2025 Dataset Ownership Verification in Contrastive Pre-trained Models ICLR 2025 Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning EMNLP 2025 Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning ICLR 2025 Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise EMNLP 2025 Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation EMNLP 2025 Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025 Data Wrangling Task Automation Using Code-Generating Language Models AAAI 2025 DateLogicQA: Benchmarking Temporal Biases in Large Language Models NAACL 2025 D-Attn: Decomposed Attention for Large Vision-and-Language Model ICCV 2025 David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning EMNLP 2025 DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue EMNLP 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 DayDreamer at CQs-Gen 2025: Generating Critical Questions through Argument Scheme Completion ACL 2025 DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL EMNLP 2025 DCBM: Data-Efficient Visual Concept Bottleneck Models ICML 2025 DCE-LLM: Dead Code Elimination with Large Language Models NAACL 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs EMNLP 2025 D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition EMNLP 2025 DCP: Dual-Cue Pruning for Efficient Large Vision-Language Models EMNLP 2025 DCRM: A Heuristic to Measure Response Pair Quality in Preference Optimization EMNLP 2025 DCR: Quantifying Data Contamination in LLMs Evaluation EMNLP 2025