Paper page - Solve the Loop: Attractor Models for Language and Reasoning
… Thus, training memory remains constant in effective depth, and iterations are chosen adaptively by convergence. …
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Claude
Claude is an AI assistant developed by Anthropic that uses large language models to generate text and support conversational tasks.
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Paper page - AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?
… These results underscore the importance of time awareness and persistent iteration in autonomous agents . …
Generate Images with Claude and Hugging Face
… Thanks for sharing such a clear explanation and examples it really shows the potential of these tools This comment has been hidden Good No way of making connections with Claude on a free plan in Claude Really interesting direction for Claude + Hugging Face integration. …
Paper page - Can Generalist Agents Automate Data Curation?
… Extending the agent budget from 10 to 50 iterations keeps improving average outcomes with no clear plateau. Agent search iterations look like a meaningful compute axis for the finite-data regime. …
Paper page - Continual Harness: Online Adaptation for Self-Improving Foundation Agents
… AI-generated summary Coding harnesses such as Claude Code and OpenHands wrap foundation models with tools, memory, and planning, but no equivalent exists for embodied agents ' long-horizon partial-observability decision-making . …
Paper page - Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
… Users can directly run the complete Arbor CLI for long-horizon automated research experiments, or load Arbor-style skills into environments such as Codex and Claude Code, enabling existing coding agents to gain more structured autonomous research capabilities. …
We Got Claude to Fine-Tune an Open Source LLM
… Thanks! is the trained model now open source and / or available to the public? https://huggingface.co/blog/sionic-ai/claude-code-skills-training Nice work about the demo getting Claude Code to fine-tune an open LLM. But the researchers from Sionic AI already do most of their work with Claude Code. …
We Got Claude to Build CUDA Kernels and teach open models!
… I think this can be achieved through multiple iterations. …
Paper page - Hierarchical Experimentalist Agents
… Claude Sonnet 4.6 achieves only 2% success, while HExA improves the same model to up to 77% success. …
Paper page - RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation
… An ensemble of 7 LLMs — from a 7B specialist to frontier systems like Gemini-3-Pro-Preview and Claude 4.5 Haiku — orchestrated by GPT-4o-mini as a lightweight faithfulness judge, won Task B of SemEval-2026 Task 8 Multi-Turn RAG Eval , outperforming even much larger standalone models. …