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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)

LORE: Continual Logit Rewriting Fosters Faithful Generation EMNLP 2025 LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging EMNLP 2025 LoRMA: Low-Rank Multiplicative Adaptation for LLMs ACL 2025 LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery UAI 2025 LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization EMNLP 2025 Loss Functions and Operators Generated by f-Divergences ICML 2025 Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding NAACL 2025 Lost in Embeddings: Information Loss in Vision–Language Models EMNLP 2025 Lost in Literalism: How Supervised Training Shapes Translationese in LLMs ACL 2025 Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models ACL 2025 Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs NAACL 2025 Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement EMNLP 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025 Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models ACL 2025 Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues CVPR 2025 Lost in Variation? Evaluating NLI Performance in Basque and Spanish Geographical Variants CoNLL 2025 LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences ACL 2025 Low-Bit Quantization Favors Undertrained LLMs ACL 2025 Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes UAI 2025 Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers ICML 2025 Lower Bounds on the Size of Markov Equivalence Classes UAI 2025 LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones WACV 2025 Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm WACV 2025 LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits ICML 2025