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Foundation Models

4,845 papers

Papers per year

Papers

Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios NIPS 2024
FUSE: Fast Unified Simulation and Estimation for PDEs NIPS 2024
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices NIPS 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation NIPS 2024
Quadratic Quantum Variational Monte Carlo NIPS 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics NIPS 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NIPS 2024
Efficient multi-prompt evaluation of LLMs NIPS 2024
Aligning Diffusion Models by Optimizing Human Utility NIPS 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NIPS 2024
UltraMedical: Building Specialized Generalists in Biomedicine NIPS 2024
Automated Multi-level Preference for MLLMs NIPS 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NIPS 2024
Are We on the Right Way for Evaluating Large Vision-Language Models? NIPS 2024
GenRL: Multimodal-foundation world models for generalization in embodied agents NIPS 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NIPS 2024
Multi-LLM Debate: Framework, Principals, and Interventions NIPS 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models NIPS 2024
Time-Reversal Provides Unsupervised Feedback to LLMs NIPS 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning NIPS 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NIPS 2024
SciCode: A Research Coding Benchmark Curated by Scientists NIPS 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NIPS 2024