Reasoning_Model
MMMU-Reasoning-Distill-Validation中文版本
Description
MMMU-Reasoning-Distill-Validation is a Multi-Modal reasoning dataset that contains 839 image descriptions and natural language inference data samples. This dataset is built upon the validation set of MMMU. The construction process begins with using Qwen2.5-VL-72B-Instruct for image understanding and generating detailed image descriptions, followed by generating reasoning conversations using the DeepSeek-R1 model. Its main features are as follows:
Use the… See the full description on the dataset page: https://huggingface.co/datasets/modelscope/MMMU-Reasoning-Distill-Validation.LFM2.5-KO-SFT-Stage2-Diverse-KoSWE-Reasoning-LFMChat-Raw
LFM2.5-KO-SFT-Stage2-Diverse-KoSWE-Reasoning-LFMChat-Raw
Stage2 raw LFM chat JSONL shards: Korean domain, behavior, SWE/coding, reasoning, finance, legal, Text2SQL.
This dataset is part of the LFM2.5-8B-A1B-KO-SFT / Agentic SFT workflow.
Main SFT model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-SFT
CPT base model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-CPT-FULL
Agentic follow-up model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-Agentic-SFT… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/LFM2.5-KO-SFT-Stage2-Diverse-KoSWE-Reasoning-LFMChat-Raw.controlling-reasoning-models-privacy-outputs
Model Outputs Dataset Card
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Dataset Description
This dataset contains the raw model generations (reasoning traces and final answers) produced in the experiments described in our paper Controllable Reasoning Models are Private Thinkers. It aggregates outputs for:
two model families: Qwen 3 and Phi 4,
multiple model sizes (1.7B–14B),
five variants per model (baseline, RT-IF–optimized, FA-IF–optimized… See the full description on the dataset page: https://huggingface.co/datasets/haritzpuerto/controlling-reasoning-models-privacy-outputs.A_Reasoning_Critique_of_Diffusion_Models
A Reasoning Critique of Diffusion Models
Author: Zixi "Oz" Li (李籽溪)
Date: December 12, 2025
Type: Theoretical AI Research (Geometry, Reasoning Theory)
Citation
@misc{oz_lee_2025,
author = { Oz Lee },
title = { A_Reasoning_Critique_of_Diffusion_Models (Revision 267326d) },
year = 2025,
url = { https://huggingface.co/datasets/OzTianlu/A_Reasoning_Critique_of_Diffusion_Models },
doi = { 10.57967/hf/7243 }… See the full description on the dataset page: https://huggingface.co/datasets/OzTianlu/A_Reasoning_Critique_of_Diffusion_Models.where-larger-models-excel-reasoning-tracesreasoning_world_model