Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English SemEval 2025 IALab UC at BEA 2025 Shared Task: LLM-Powered Expert Pedagogical Feature Extraction ACL 2025 I Am Big, You Are Little; I Am Right, You Are Wrong ICCV 2025 IAM: Efficient Inference through Attention Mapping between Different-scale LLMs ACL 2025 IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization ICCV 2025 IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck ICML 2025 IberoBench: A Benchmark for LLM Evaluation in Iberian Languages COLING 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 ICL CIPHERS: Quantifying ”Learning” in In-Context Learning via Substitution Ciphers EMNLP 2025 ICLEval: Evaluating In-Context Learning Ability of Large Language Models COLING 2025 ICLR: In-Context Learning of Representations ICLR 2025 ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks ICML 2025 ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation AAAI 2025 Icon2: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation EMNLP 2025 ICP: Immediate Compensation Pruning for Mid-to-high Sparsity CVPR 2025 ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs ACL 2025 ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models CVPR 2025 IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model ICLR 2025 Idea23D: Collaborative LMM Agents Enable 3D Model Generation from Interleaved Multimodal Inputs COLING 2025 IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025 IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction ACL 2025 IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification CVPR 2025 IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves ICCV 2025 Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models JMLR 2025 Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning ICLR 2025