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Foundation Models

4,860 papers

Papers per year

1
2
123
1821
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'25

Papers

Propagating Knowledge Updates to LMs Through Distillation NIPS 2023
Domain Agnostic Fourier Neural Operators NIPS 2023
OpenAssistant Conversations - Democratizing Large Language Model Alignment NIPS 2023
An Inverse Scaling Law for CLIP Training NIPS 2023
Aligning Language Models with Human Preferences via a Bayesian Approach NIPS 2023
Extracting Reward Functions from Diffusion Models NIPS 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring NIPS 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NIPS 2023
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society NIPS 2023
A Logic for Expressing Log-Precision Transformers NIPS 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model NIPS 2023
Scattering Vision Transformer: Spectral Mixing Matters NIPS 2023
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers NIPS 2023
LIMA: Less Is More for Alignment NIPS 2023
Are Emergent Abilities of Large Language Models a Mirage? NIPS 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training NIPS 2023
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis NIPS 2023
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks NIPS 2023
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NIPS 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NIPS 2023
Chatting Makes Perfect: Chat-based Image Retrieval NIPS 2023
Guiding Large Language Models via Directional Stimulus Prompting NIPS 2023
Textually Pretrained Speech Language Models NIPS 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NIPS 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NIPS 2023