Democratizing AI scientists with ToolUniverse
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Updated
Mar 30, 2026 - Python
Democratizing AI scientists with ToolUniverse
MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025
TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
Open-source generalized AI agent for everyday task automations.
[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
Pivotal Token Search
[Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics]: VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
A powerful Python framework for orchestrating AI agents and managing complex LLM-driven tasks with ease.
[EMNLP-2025 Oral] ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration
A framework for building a AI Forecasting Bot for Metaculus. Additionally AI Forecasting tools to help humans forecast the future.
[ICLR 2026] Adaptive Social Learning via Mode Policy Optimization for Language Agents
Analyzing and scoring reasoning traces of LLMs
LLMs as Method Actors: A Model for Prompt Engineering and Architecture
A benchmark that focuses on the sampling dilemma in long-video tasks. Through well-designed tasks, it evaluates the sampling efficiency of long-video VLMs. (ICCV2025)
Used for thinking process intervention of reasoning models such as DeepSeek-R1, effectively controlling the reasoning thinking process. 用于DeepSeek-R1等推理模型的思维过程干预,有效控制推理思考过程
Fragaria is a powerful and flexible Chain of Thought (CoT) reasoning API that leverages various Language Model (LLM) providers and incorporates Reinforcement Learning (RL) techniques to solve complex problems and answer intricate questions.
Agentic Keyframe Search for Video Question Answering
Code and dataset for the ICLR 2024 paper "Thought Propagation: An analogical Approach to Complex Reasoning with Large Language Models."
High level Multi Intelligent Agent
Turn stories, strategies, or systems into insight. Auto-generate Dialectical Wheels (DWs) from any text to reveal blind spots, surface polarities, and trace dynamic paths toward synthesis. DWs are semantic maps that expose tension, transformation, and coherence within a system—whether narrative, ethical, organizational, or technological.
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