Papers to read
updated
Connecting Large Language Models with Evolutionary Algorithms Yields
Powerful Prompt Optimizers
Paper
• 2309.08532
• Published
• 54
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