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Foundation Models

4,845 papers

Papers per year

Papers

Are Large Language Models Good Statisticians? NIPS 2024
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NIPS 2024
Paloma: A Benchmark for Evaluating Language Model Fit NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA NIPS 2024
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NIPS 2024
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration NIPS 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion NIPS 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification NIPS 2024
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NIPS 2024
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors NIPS 2024
Approximation Rate of the Transformer Architecture for Sequence Modeling NIPS 2024
Instruction Tuning With Loss Over Instructions NIPS 2024
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks NIPS 2024
Improving Context-Aware Preference Modeling for Language Models NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NIPS 2024
Can Transformers Smell Like Humans? NIPS 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models NIPS 2024
Automatically Learning Hybrid Digital Twins of Dynamical Systems NIPS 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NIPS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NIPS 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization NIPS 2024