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Holistic Evaluation of Text-To-Image Models
Paper • 2311.04287 • Published • 11 -
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
Paper • 2311.07463 • Published • 13 -
Trusted Source Alignment in Large Language Models
Paper • 2311.06697 • Published • 10 -
DiLoCo: Distributed Low-Communication Training of Language Models
Paper • 2311.08105 • Published • 14
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Collections including paper arxiv:2311.06697
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Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 28 -
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Paper • 2308.03188 • Published • 2 -
Trusted Source Alignment in Large Language Models
Paper • 2311.06697 • Published • 10 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 24
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Trusted Source Alignment in Large Language Models
Paper • 2311.06697 • Published • 10 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 47 -
SuperHF: Supervised Iterative Learning from Human Feedback
Paper • 2310.16763 • Published • 1 -
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning
Paper • 2311.15657 • Published • 2
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Random Field Augmentations for Self-Supervised Representation Learning
Paper • 2311.03629 • Published • 6 -
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
Paper • 2311.04589 • Published • 18 -
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Paper • 2311.04901 • Published • 7 -
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Paper • 2311.06783 • Published • 26
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Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Paper • 2309.05653 • Published • 10 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18
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Moral Foundations of Large Language Models
Paper • 2310.15337 • Published • 1 -
Specific versus General Principles for Constitutional AI
Paper • 2310.13798 • Published • 2 -
Contrastive Prefence Learning: Learning from Human Feedback without RL
Paper • 2310.13639 • Published • 24 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 47
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MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Paper • 2310.09478 • Published • 19 -
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
Paper • 2310.08678 • Published • 12 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 242 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13