Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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10
16
4
22
142
170
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174
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299
478
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688
1,389
2,431
4,106
5,263
6,557
7,659
9,959
14,521
18,823
8,763
2000
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Papers (including subtopics)
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
ICLR 2025
InternLM-Law: An Open-Sourced Chinese Legal Large Language Model
COLING 2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
ACL 2025
Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History
CoNLL 2025
Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
ICML 2025
Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models
EMNLP 2025
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
ICLR 2025
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
ICLR 2025
Interpretable Company Similarity with Sparse Autoencoders
ACL 2025
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models
AAAI 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks
CVPR 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning
CVPR 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
EMNLP 2025
Interpretable Models for Detecting Linguistic Variation in Russian Media: Towards Unveiling Propagandistic Strategies during the Russo-Ukrainian War
NAACL 2025
Interpretable Neural Causal Models with TRAM-DAGs
CLeaR 2025
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
AAAI 2025
Interpretable Sparse Features for Probing Self-Supervised Speech Models
IJCNLP 2025
Interpretable Text Embeddings and Text Similarity Explanation: A Survey
EMNLP 2025
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
ICLR 2025
Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model
ICCV 2025
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
ACL 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
EMNLP 2025
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
ICLR 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders
ICML 2025
Interpreting Emergent Planning in Model-Free Reinforcement Learning
ICLR 2025