MiroThinker
★ 8.4k
vs
ICLR2025-Papers-with-Code
★ 589
MiroThinker vs ICLR2025-Papers-with-Code
MiroThinker: MiroThinker is an open-source deep research agent optimized for research and prediction, achieving leading performance on challenging benchmarks like GAIA. It advances tool-augmented reasoning through interactive scaling, handling deep and frequent agent-environment interactions.; ICLR2025-Papers-with-Code: This repository curates a collection of ICLR 2025 papers and open-source projects, with a strong focus on Large Language Models and Natural Language Processing. It continuously updates to provide the latest research advancements, also linking to prior ICLR editions and an AI knowledge community.
01
TL;DR
MiroThinkerRAG / Knowledge Base · ★ 8.4k
When to choose:
- You want open-weights research-agent models (30B and 235B, 256K context) trained specifically for up to 400 tool calls per task.
- You are researching or fine-tuning tool-use agents and want the MiroFlow harness, reproducible GAIA/HLE benchmarks, and the 147k-sample MiroVerse dataset.
When to skip:
- You do not have multi-GPU infrastructure to host 30B/235B models and just want an off-the-shelf research app using commercial APIs; use GPT Researcher.
- You want a document RAG platform for enterprise PDFs rather than an open-weights research model; use RAGFlow or MaxKB.
ICLR2025-Papers-with-CodeRAG / Knowledge Base · ★ 589
Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP.
02
Side-by-Side Comparison
Field
MiroThinkerICLR2025-Papers-with-CodeCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 8.4k
★ 589
License
MIT
—
Install Command
git clone https://github.com/MiroMindAI/MiroThinker
git clone https://github.com/yinizhilian/ICLR2025-Papers-with-Code.git
Updated
3mo ago
1y ago
Open Source
Yes
Yes
Tags
Deep Research Agent, LLM Agent, Tool Use
LLM, NLP, AI Research
03
Features
MiroThinker01Supports a 256K context window for long-horizon reasoning.
02Handles hundreds of tool calls per task, enabling deep multi-step analysis.
03Available in multiple parameter scales (from 8B to 235B) to suit diverse compute budgets.
04Provides a fully open-source agent framework for complete transparency.
05Integrates a comprehensive benchmark suite for extensive evaluation and performance tracking.
ICLR2025-Papers-with-Code01Collects ICLR 2025 papers and their corresponding open-source projects.
02Primarily focuses on advancements in Large Language Models (LLM) and Natural Language Processing (NLP).
03Provides access to collections of papers and code from previous ICLR conferences (2021-2024).
04Offers direct links to paper PDFs on OpenReview and code repositories (e.g., GitHub, Hugging Face).
05Promotes a premium AI knowledge community ('AINLPer星球') for daily updates, advanced learning, and industry insights.
04
Use Cases
MiroThinker↳Deep research and information retrieval.
↳Complex prediction tasks, including financial forecasting.
↳Tool-augmented reasoning and multi-step problem solving.
ICLR2025-Papers-with-Code↳Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP.
↳Developers seeking open-source implementations and code for published ICLR papers.
↳Individuals interested in joining a dedicated AI knowledge community for continuous learning and networking.
FAQ
FAQ
What is the difference between MiroThinker and ICLR2025-Papers-with-Code?
Both MiroThinker and ICLR2025-Papers-with-Code are in the RAG / Knowledge Base category. MiroThinker has 8.4k stars, while ICLR2025-Papers-with-Code has 589 stars.
Which is better, MiroThinker or ICLR2025-Papers-with-Code?
The best choice depends on your use case. Choose MiroThinker if Deep research and information retrieval., and ICLR2025-Papers-with-Code if Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP..
Is MiroThinker free or open source?
Yes, MiroThinker is open source on GitHub (MIT).
Is ICLR2025-Papers-with-Code free or open source?
Yes, ICLR2025-Papers-with-Code is open source on GitHub.
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