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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
Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models
NIPS 2024
Fractal Patterns May Illuminate the Success of Next-Token Prediction
NIPS 2024
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
NIPS 2024
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
NIPS 2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
NIPS 2024
LOVA3: Learning to Visual Question Answering, Asking and Assessment
NIPS 2024
Parallelizing Linear Transformers with the Delta Rule over Sequence Length
NIPS 2024
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks
NIPS 2024
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
NIPS 2024
Iterative Reasoning Preference Optimization
NIPS 2024
Learning Goal-Conditioned Representations for Language Reward Models
NIPS 2024
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
NIPS 2024
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
NIPS 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
NIPS 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
NIPS 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
NIPS 2024
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
NIPS 2024
fMRI predictors based on language models of increasing complexity recover brain left lateralization
NIPS 2024
Instance-adaptive Zero-shot Chain-of-Thought Prompting
NIPS 2024
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
NIPS 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
NIPS 2024
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
NIPS 2024
Gorilla: Large Language Model Connected with Massive APIs
NIPS 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
NIPS 2024
A Theoretical Perspective for Speculative Decoding Algorithm
NIPS 2024
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