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← Core AI
Artificial Intelligence
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Core AI
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Foundation Models
4,845 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
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
NIPS 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
NIPS 2024
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
NIPS 2024
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
NIPS 2024
A Foundation Model for Zero-shot Logical Query Reasoning
NIPS 2024
Categorical Flow Matching on Statistical Manifolds
NIPS 2024
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
NIPS 2024
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
NIPS 2024
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NIPS 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
NIPS 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NIPS 2024
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
NIPS 2024
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing
NIPS 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
NIPS 2024
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
NIPS 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NIPS 2024
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
NIPS 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
NIPS 2024
Are Language Models Actually Useful for Time Series Forecasting?
NIPS 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
NIPS 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
NIPS 2024
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
NIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NIPS 2024
SGLang: Efficient Execution of Structured Language Model Programs
NIPS 2024
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