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Discover the best community collections!

Collections including paper arxiv:2309.10691

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Paper • 2310.04484 • Published Oct 6, 2023 • 5
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 14

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 7
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 13
LASER: LLM Agent with State-Space Exploration for Web Navigation

Paper • 2309.08172 • Published Sep 15, 2023 • 11
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 2
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 24
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 4
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 13
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 35

CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 74
Octopus: Embodied Vision-Language Programmer from Environmental Feedback

Paper • 2310.08588 • Published Oct 12, 2023 • 34
SALMON: Self-Alignment with Principle-Following Reward Models

Paper • 2310.05910 • Published Oct 9, 2023 • 2
Lemur: Harmonizing Natural Language and Code for Language Agents

Paper • 2310.06830 • Published Oct 10, 2023 • 31

ibm/AttaQ

Viewer • Updated Jan 26, 2024 • 1.4k • 1.1k • 13
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11, 2024 • 36 • 8
corbyrosset/researchy_questions

Viewer • Updated Feb 29, 2024 • 96.4k • 44 • 25
argilla/ultrafeedback-binarized-preferences

Viewer • Updated Nov 30, 2023 • 63.6k • 288 • 70

synthetic code generation

Design2Code: How Far Are We From Automating Front-End Engineering?

Paper • 2403.03163 • Published Mar 5, 2024 • 93
Wukong: Towards a Scaling Law for Large-Scale Recommendation

Paper • 2403.02545 • Published Mar 4, 2024 • 15
StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 29
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

Paper • 2308.10462 • Published Aug 21, 2023 • 2

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