Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53
Papers to read
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A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 7 -
MindAgent: Emergent Gaming Interaction
Paper • 2309.09971 • Published • 12 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 87 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 20 -
Replacing softmax with ReLU in Vision Transformers
Paper • 2309.08586 • Published • 19 -
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping
Paper • 2309.07970 • Published • 8 -
LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 14 -
A Data Source for Reasoning Embodied Agents
Paper • 2309.07974 • Published • 7 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 43 -
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Paper • 2309.06440 • Published • 10 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 46 -
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Paper • 2310.13724 • Published • 9 -
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Paper • 2405.01434 • Published • 56 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95