Entries by tag: language-models

Including child/synonym tags

Paper Summary: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning  19 Apr 2025    paper-summary language-modeling reinforcement-learning

Summary of the 2025 article "DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning" by DeepSeek AI. Read More ›

Paper Summary: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models  06 Apr 2025    paper-summary reinforcement-learning language-modeling

Summary of the 2024 article "DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models" by Shao et al. Read More ›

Paper Summary: Proximal Policy Optimization Algorithms  06 Apr 2025    paper-summary reinforcement-learning language-modeling

Summary of the 2017 article "Proximal Policy Optimization Algorithms" by Schulman et al. Read More ›

Paper Summary: Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study  06 Oct 2024    paper-summary alignment instruction-tuning

Summary of the 2024 article "Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study" by Xu et al. Read More ›

Paper Summary: The Science of Detecting LLM-Generated Texts  28 Jul 2024    paper-summary language-modeling

Summary of the 2023 article "The Science of Detecting LLM-Generated Texts" by Tang et al. Read More ›

Paper Summary: Multitask Prompted Training Enables Zero-Shot Task Generalization  31 Mar 2024    paper-summary instruction-tuning language-modeling

Summary of the 2021 article "Multitask Prompted Training Enables Zero-Shot Task Generalization" by Sahn et al. AKA the T0 (T-zero) article Read More ›

Paper Summary: Constitutional AI  16 Nov 2023    paper-summary instruction-tuning language-models

Summary of the 2022 article "Constitutional AI" by Anthropic. Read More ›

Paper Summary: Llama 2: Open Foundation and Fine-Tuned Chat Models  01 Aug 2023    paper-summary instruction-following language-modeling

Summary of the 2023 article "Llama 2: Open Foundation and Fine-Tuned Chat Models" by Touvron et al. Read More ›

Paper Summary: Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling  18 Jun 2023    paper-summary language-models

Summary of the 2023 article "Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling" by Biderman et al. Read More ›

Paper Summary: LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention  04 Jun 2023    paper-summary language-modeling instruction-following

Summary of the 2023 article "LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention" by Zhang et al. Read More ›

Paper Summary: LLaMA: Open and Efficient Foundation Language Models  04 Jun 2023    paper-summary llms

Summary of the 2023 article "LLaMA: Open and Efficient Foundation Language Models" by Touvron et al. Read More ›

Paper Summary: Self-instruct: Aligning Language Models with Self-generated Instructions  03 Jun 2023    paper-summary language-modeling alignment

Summary of the 2022 article "Self-instruct: Aligning Language Models with Self-generated Instructions" by Wang et al. Read More ›

Paper Summary: Training language models to follow instructions with human feedback  05 Feb 2023    paper-summary language-models alignment

Summary of the 2022 article "Training language models to follow instructions with human feedback" by Ouyang et al. AKA the InstructGPT article Read More ›

Paper Summary: Language Models are Few-Shot Learners  01 Jan 2023    paper-summary language-models

Summary of the 2020 article "Language Models are Few-Shot Learners" by Brown et al. AKA the GPT-3 Paper. Read More ›

Paper Summary: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding  01 Jan 2023    paper-summary language-models

Summary of the 2018 article "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" by Devlin et al. Read More ›

Paper Summary: Language Models are Unsupervised Multitask Learners  31 Aug 2019    paper-summary language-models

Summary of the 2019 article "Language Models are Unsupervised Multitask Learners" by Radford et al. AKA the GPT-2 Article. Read More ›