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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 • 16 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 9
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Collections including paper arxiv:2210.03629
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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 17 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
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ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 16 -
Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 16 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 106
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RARR: Researching and Revising What Language Models Say, Using Language Models
Paper • 2210.08726 • Published • 1 -
Hypothesis Search: Inductive Reasoning with Language Models
Paper • 2309.05660 • Published • 2 -
In-context Learning and Induction Heads
Paper • 2209.11895 • Published • 2 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 16
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Paper • 2305.10601 • Published • 11 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 48 -
Voyager: An Open-Ended Embodied Agent with Large Language Models
Paper • 2305.16291 • Published • 9
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Communicative Agents for Software Development
Paper • 2307.07924 • Published • 4 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 37 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 16
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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Paper • 1701.06538 • Published • 5 -
Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
Language Model Evaluation Beyond Perplexity
Paper • 2106.00085 • Published