Self-Adapting Language Models (arxiv.org)

Screenshot of arxiv.org: Self-Adapting Language Models

First screen, captured 1 year ago.

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Screenshot of arxiv.org: Self-Rewarding Language Models

Self-Rewarding Language Models (arxiv.org)

56 points by jph00 2 years ago | 49 comments

Screenshot of arxiv.org: Self-Distillation Enables Continual Learning [pdf]

Self-Distillation Enables Continual Learning [pdf](arxiv.org)

78 points by teleforce 5 months ago | 20 comments

Screenshot of arxiv.org: Ladder: Self-improving LLMs through recursive problem decomposition

Ladder: Self-improving LLMs through recursive problem decomposition (arxiv.org)

339 points by fofoz 1 year ago | 103 comments

arXiv paper introducing LADDER, a framework where LLMs self-improve by recursively generating simpler problem variants, plus TTRL test-time reinforcement learning.

llm reinforcement-learning self-improvement test-time-compute

Screenshot of arxiv.org: Recursive Language Models

Recursive Language Models (arxiv.org)

135 points by schmuhblaster 9 months ago | 23 comments

Screenshot of arxiv.org: Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents (arxiv.org)

39 points by tzury 1 year ago | 14 comments

Screenshot of arxiv.org: Small language models are the future of agentic AI

Small language models are the future of agentic AI (arxiv.org)

84 points by favoboa 1 year ago | 35 comments

Looks similar

Self-Rewarding Language Models(arxiv.org)

Self-Distillation Enables Continual Learning [pdf](arxiv.org)

Ladder: Self-improving LLMs through recursive problem decomposition(arxiv.org)

Recursive Language Models(arxiv.org)

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents(arxiv.org)

Small language models are the future of agentic AI(arxiv.org)

Self-Rewarding Language Models (arxiv.org)

Ladder: Self-improving LLMs through recursive problem decomposition (arxiv.org)

Recursive Language Models (arxiv.org)

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents (arxiv.org)

Small language models are the future of agentic AI (arxiv.org)