Collections
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A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
Paper • 2308.08434 • Published • 1 -
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Paper • 2302.02662 • Published • 1 -
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning
Paper • 2309.01352 • Published • 1 -
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Paper • 2308.03188 • Published • 2
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From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
Paper • 2308.12032 • Published • 2 -
Know thy corpus! Robust methods for digital curation of Web corpora
Paper • 2003.06389 • Published • 1 -
Self-Alignment with Instruction Backtranslation
Paper • 2308.06259 • Published • 43 -
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Paper • 2305.06156 • Published • 2
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A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
Paper • 2308.08434 • Published • 1 -
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Paper • 2309.01157 • Published • 1 -
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Paper • 2307.15780 • Published • 28 -
Leveraging Large Language Models for Pre-trained Recommender Systems
Paper • 2308.10837 • Published • 1
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Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Paper • 2307.03972 • Published • 1 -
GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning
Paper • 2307.13923 • Published • 1 -
Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese
Paper • 2306.15788 • Published • 2 -
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
Paper • 2305.15183 • Published • 1
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A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
Paper • 2308.08434 • Published • 1 -
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Paper • 2309.01157 • Published • 1 -
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Paper • 2307.15780 • Published • 28 -
Leveraging Large Language Models for Pre-trained Recommender Systems
Paper • 2308.10837 • Published • 1
-
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
Paper • 2308.08434 • Published • 1 -
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Paper • 2302.02662 • Published • 1 -
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning
Paper • 2309.01352 • Published • 1 -
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Paper • 2308.03188 • Published • 2
-
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
Paper • 2308.12032 • Published • 2 -
Know thy corpus! Robust methods for digital curation of Web corpora
Paper • 2003.06389 • Published • 1 -
Self-Alignment with Instruction Backtranslation
Paper • 2308.06259 • Published • 43 -
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Paper • 2305.06156 • Published • 2
-
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Paper • 2307.03972 • Published • 1 -
GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning
Paper • 2307.13923 • Published • 1 -
Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese
Paper • 2306.15788 • Published • 2 -
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
Paper • 2305.15183 • Published • 1