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Collections including paper arxiv:2310.12921
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In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 41 -
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Paper • 2310.12921 • Published • 19 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 53
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PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Paper • 2310.09199 • Published • 24 -
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 14 -
Personality Traits in Large Language Models
Paper • 2307.00184 • Published • 20 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 14
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Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 53 -
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Paper • 2310.08579 • Published • 14 -
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Paper • 2310.12921 • Published • 19 -
De-Diffusion Makes Text a Strong Cross-Modal Interface
Paper • 2311.00618 • Published • 21
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 87 -
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 38 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Paper • 2309.06794 • Published • 1