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Foundation Models

4845 directly classified papers

Papers per year

Papers

May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations NIPS 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning NIPS 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology NIPS 2023
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design NIPS 2023
Foundation Model is Efficient Multimodal Multitask Model Selector NIPS 2023
On quantum backpropagation, information reuse, and cheating measurement collapse NIPS 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring NIPS 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries NIPS 2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision NIPS 2023
OpenAGI: When LLM Meets Domain Experts NIPS 2023
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management NIPS 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NIPS 2023
Blockwise Parallel Transformers for Large Context Models NIPS 2023
RRHF: Rank Responses to Align Language Models with Human Feedback NIPS 2023
SPRING: Studying Papers and Reasoning to play Games NIPS 2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning NIPS 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NIPS 2023
Language Models can Solve Computer Tasks NIPS 2023
Self-Evaluation Guided Beam Search for Reasoning NIPS 2023
Training Transitive and Commutative Multimodal Transformers with LoReTTa NIPS 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning NIPS 2023
Self-Refine: Iterative Refinement with Self-Feedback NIPS 2023
OpenAssistant Conversations - Democratizing Large Language Model Alignment NIPS 2023
Aligning Language Models with Human Preferences via a Bayesian Approach NIPS 2023
Extracting Reward Functions from Diffusion Models NIPS 2023