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The evolution of artificial intelligence (AI) has profoundly impacted human society, driving significant advancements in multiple sectors.
Language models are few-shot learners
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CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming
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Arcee’s MergeKit: A Toolkit for Merging Large Language Models
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Neural amortized inference for nested multi-agent reasoning. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 530–537
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Obelics: An open web-scale filtered dataset of interleaved image-text documents
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HILL: A Hallucination Identifier for Large Language Models
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Guiding large language models via directional stimulus prompting
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AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
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DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. In The Twelfth International Conference on Learning Representations
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ReFT: Representation Finetuning for Language Models
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A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges
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UFO: A UI-Focused Agent for Windows OS Interaction
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A Survey on the Memory Mechanism of Large Language Model based Agents
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
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Assessing and Understanding Creativity in Large Language Models
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Lima: Less is more for alignment
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The Social Impact of Natural Language Processing. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , Katrin Erk and Noah A. Smith (Eds.). Association for Computational Linguistics, Berlin, Germany, 591–598
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