← Core AI
Artificial Intelligence › Core AI ›

Foundation Models

4845 directly classified papers

Papers per year

Papers

SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors NIPS 2024
Automatically Learning Hybrid Digital Twins of Dynamical Systems NIPS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making NIPS 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NIPS 2024
A Theoretical Understanding of Self-Correction through In-context Alignment NIPS 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NIPS 2024
Categorical Flow Matching on Statistical Manifolds NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better NIPS 2024
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NIPS 2024
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks NIPS 2024
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model NIPS 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks NIPS 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NIPS 2024
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking NIPS 2024
Instruction Tuning With Loss Over Instructions NIPS 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models NIPS 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NIPS 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI NIPS 2024
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA NIPS 2024
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers NIPS 2024