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We introduce ReCall, a novel framework that trains LLMs to Reason with Tool Call via reinforcement learning—without requiring any supervised data on tool use trajectories or reasoning steps. ReCall empowers LLMs to agentically use and combine arbitrary tools like OpenAI o3, offering an…
Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi (Eric) Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht ICLR 2021
This repository contains the official implementation for the paper "AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models".
Official repository for paper "Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning". This is the first work, to the best of our knowledge, that adapts game code to synthesize multimodal game data for training VLMs. When we apply Game-RL, which is simple GRPO on…
The main features of tongjingqi/code2logic are: Reasoning Environments.
Projects with overlapping indexed features include: agent-rl/recall — We introduce ReCall, a novel framework that trains LLMs to Reason with Tool Call via reinforcement learning—without… alfworld/alfworld — Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi (Eric) Yuan, Marc-Alexandre… allenai/scienceworld — ScienceWorld. bytedtsinghua-sia/enigmata — We introduce Enigmata, the first comprehensive suite tailored for improving LLMs with puzzle reasoning skills, which… chenllliang/g1 — G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. 8188zq/autologi — This repository contains the official implementation for the paper "AutoLogi: Automated Generation of Logic Puzzles…
