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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2201.11903
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Attention Is All You Need
Paper • 1706.03762 • Published • 55 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 7 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14
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Internal Consistency and Self-Feedback in Large Language Models: A Survey
Paper • 2407.14507 • Published • 46 -
Large Language Models are Zero-Shot Reasoners
Paper • 2205.11916 • Published • 1 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 10 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 11
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Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Paper • 2304.09842 • Published • 1 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 24 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 5 -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 5
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ewre324/ewre324-Thinker-Llama-3.2-3B-Instruct-Reasoning
Updated • 59 -
ewre324/ewre324-Thinker-Qwen2.5-0.5B-Instruct-Reasoning
Updated • 18 -
ewre324/ewre324-Thinker-SmolLM2-135M-Instruct-Reasoning
Text Generation • Updated • 21 • 1 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 11
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Let's Verify Step by Step
Paper • 2305.20050 • Published • 10 -
LLM Critics Help Catch LLM Bugs
Paper • 2407.00215 • Published -
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Paper • 2407.21787 • Published • 13 -
Generative Verifiers: Reward Modeling as Next-Token Prediction
Paper • 2408.15240 • Published • 13
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The Rise and Potential of Large Language Model Based Agents: A Survey
Paper • 2309.07864 • Published • 7 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 24 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 11
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Attention Is All You Need
Paper • 1706.03762 • Published • 55 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 13
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Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 85 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 25 -
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Paper • 2403.18818 • Published • 26 -
TC4D: Trajectory-Conditioned Text-to-4D Generation
Paper • 2403.17920 • Published • 18