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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Foundation Models
4845 directly classified papers
Papers per year
2002: 1
2006: 1
2007: 1
2008: 1
2010: 1
2012: 2
2013: 1
2014: 1
2015: 2
2016: 7
2017: 15
2018: 49
2019: 69
2020: 123
2021: 204
2022: 243
2023: 579
2024: 1365
2025: 1819
2026: 361
Papers
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
NIPS 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NIPS 2024
Improving Context-Aware Preference Modeling for Language Models
NIPS 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection
NIPS 2024
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
NIPS 2024
Many-Shot In-Context Learning
NIPS 2024
Multi-modal Transfer Learning between Biological Foundation Models
NIPS 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NIPS 2024
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
NIPS 2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
NIPS 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
NIPS 2024
Approximation Rate of the Transformer Architecture for Sequence Modeling
NIPS 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
NIPS 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
NIPS 2024
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
NIPS 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
NIPS 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
NIPS 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
NIPS 2024
Understanding and Minimising Outlier Features in Transformer Training
NIPS 2024
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
NIPS 2024
Molecule Design by Latent Prompt Transformer
NIPS 2024
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
NIPS 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
NIPS 2024
Are Language Models Actually Useful for Time Series Forecasting?
NIPS 2024
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
NIPS 2024
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