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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:2210.03629
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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 34 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 40 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 7 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 192
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Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 97 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 24 -
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Paper • 2405.15793 • Published • 5 -
DevBench: A Comprehensive Benchmark for Software Development
Paper • 2403.08604 • Published • 2
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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