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Communicative Agents for Software Development
Paper • 2307.07924 • Published • 6 -
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 • 44 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 30
Collections
Discover the best community collections!
Collections including paper arxiv:2402.07456
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Learning to Decode Collaboratively with Multiple Language Models
Paper • 2403.03870 • Published • 22 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 46 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 21
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 22 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 38
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Paper • 2403.15042 • Published • 27 -
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 97 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 46 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 50
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TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Paper • 2402.01622 • Published • 37 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 46 -
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 97
-
Communicative Agents for Software Development
Paper • 2307.07924 • Published • 6 -
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 • 44 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 30
-
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Paper • 2403.15042 • Published • 27 -
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 97 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 46 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 50
-
Learning to Decode Collaboratively with Multiple Language Models
Paper • 2403.03870 • Published • 22 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 46 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 21
-
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Paper • 2402.01622 • Published • 37 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 46 -
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 97
-
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 22 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 38
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25