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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
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<title>InfiX-AI</title>
<link>http://infixai.github.io/</link>
<description>Recent content on InfiX-AI</description>
<generator>Hugo</generator>
<language>en-us</language>
<lastBuildDate>Mon, 11 Aug 2025 19:11:00 +0000</lastBuildDate>
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<item>
<title>InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization</title>
<link>http://infixai.github.io/research/infigui-g1/</link>
<pubDate>Tue, 05 Aug 2025 00:00:00 +0000</pubDate>
<guid>http://infixai.github.io/research/infigui-g1/</guid>
<description>We introduce InfiGUI-G1, a multimodal GUI agent that employs Adaptive Exploration Policy Optimization (AEPO) to improve semantic alignment in GUI grounding, achieving up to 8.3% relative improvement over baseline methods.</description>
</item>
<item>
<title>InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners</title>
<link>http://infixai.github.io/research/infigui-r1/</link>
<pubDate>Sat, 19 Apr 2025 00:00:00 +0000</pubDate>
<guid>http://infixai.github.io/research/infigui-r1/</guid>
<description>InfiGUI-R1 is a multimodal large language model-based GUI agent trained using reinforcement learning to enhance planning and error recovery skills for GUI tasks, achieving state-of-the-art performance on multiple benchmarks.</description>
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<item>
<title>InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models</title>
<link>http://infixai.github.io/research/infifpo/</link>
<pubDate>Tue, 20 May 2025 00:00:00 +0000</pubDate>
<guid>http://infixai.github.io/research/infifpo/</guid>
<description><p>We propose <strong>InfiFPO</strong>, a principled and efficient framework for performing model fusion during the preference alignment phase. Our key insight is that the reference model in preference optimization (e.g., in DPO) can be replaced with a fused source model, thereby enabling the pivot model to learn not only from preference data but also from the probabilistic behaviors of multiple source models.</p>
<p><img src="assets/exp.png" alt="InfiFPO"></p>
<p>Comprehensive experiments on 11 widely-used benchmarks demonstrate that <strong>InfiFPO</strong> consistently outperforms existing model fusion and preference optimization methods. When using Phi-4 as the pivot model, <strong>InfiFPO</strong> improve its average performance from 79.95 to 83.33 on 11 benchmarks, significantly improving its capabilities in mathematics, coding, and reasoning tasks.</p></description>
</item>
<item>
<title>InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion</title>
<link>http://infixai.github.io/research/infigfusion/</link>
<pubDate>Tue, 20 May 2025 00:00:00 +0000</pubDate>
<guid>http://infixai.github.io/research/infigfusion/</guid>
<description><p><strong>InfiGFusion</strong> is the first structure-aware fusion framework for large language models that models semantic dependencies among logits using feature-level graphs. We introduce a novel Graph-on-Logits Distillation (GLD) loss that captures cross-dimension interactions via co-activation graphs and aligns them using an efficient, provable approximation of Gromov-Wasserstein distance (reducing complexity from O(n^4) to O(nlogn)). Our released <strong>InfiGFusion-14B</strong> model consistently shows better performance, achieving +35.6 on Multistep Arithmetic and +37.06 on Causal Judgement over SFT, demonstrating superior multi-step and complex logic inference.</p></description>
</item>
<item>
<title>InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion</title>
<link>http://infixai.github.io/research/infifusion/</link>
<pubDate>Mon, 17 Feb 2025 00:00:00 +0000</pubDate>
<guid>http://infixai.github.io/research/infifusion/</guid>
<description><p><strong>InfiFusion</strong> is the first fusion framework for large language models that fuse up to 4 models with 14B~24B parameters. We introduce a unified framework which can fuse many heterogeneous models
in one distillation stage. InfiFusion outperforms the state-of-the-art models, such as Qwen-2.5-14B-Instruct and Phi-4, across 11 widely applied benchmarks covering reasoning, coding, mathematics, and instruction-following tasks. Notably, InfiFusion achieves this superior performance while significantly reduces
computational costs, completing full training with only 160 H800 GPU hours compared to the millions typically required for traditional LLM training.</p></description>
</item>
<item>
<title>InfiGUI-G1-3B</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUI-G1-3B</link>
<pubDate>Mon, 11 Aug 2025 19:11:00 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUI-G1-3B</guid>
<description></description>
</item>
<item>
<title>InfiGUI-G1-7B</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUI-G1-7B</link>
<pubDate>Mon, 11 Aug 2025 19:11:00 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUI-G1-7B</guid>
<description></description>
</item>
<item>
<title>android_control_test</title>
<link>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/android_control_test</link>
<pubDate>Thu, 31 Jul 2025 11:50:11 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/android_control_test</guid>
<description></description>
</item>
<item>
<title>android_control_train</title>
<link>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/android_control_train</link>
<pubDate>Thu, 31 Jul 2025 11:50:11 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/android_control_train</guid>
<description></description>
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<item>
<title>InfiGUIAgent-Data</title>
<link>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/InfiGUIAgent-Data</link>
<pubDate>Thu, 31 Jul 2025 11:50:11 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/InfiGUIAgent-Data</guid>
<description></description>
</item>
<item>
<title>s1K-1.1-850</title>
<link>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/s1K-1.1-850</link>
<pubDate>Thu, 31 Jul 2025 11:50:11 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/s1K-1.1-850</guid>
<description></description>
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<item>
<title>s1K-QwQ</title>
<link>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/s1K-QwQ</link>
<pubDate>Thu, 31 Jul 2025 11:50:11 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/datasets/InfiX-ai/s1K-QwQ</guid>
<description></description>
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<title>Infi-MMR-3B</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/Infi-MMR-3B</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/Infi-MMR-3B</guid>
<description></description>
</item>
<item>
<title>InfiFPO-14B</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiFPO-14B</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiFPO-14B</guid>
<description></description>
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<item>
<title>InfiFusion-14B</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiFusion-14B</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiFusion-14B</guid>
<description></description>
</item>
<item>
<title>InfiGFusion-14B</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGFusion-14B</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGFusion-14B</guid>
<description></description>
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<item>
<title>InfiGUI-R1-3B</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUI-R1-3B</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUI-R1-3B</guid>
<description></description>
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<item>
<title>InfiGUIAgent-2B-Stage1</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUIAgent-2B-Stage1</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiGUIAgent-2B-Stage1</guid>
<description></description>
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<item>
<title>InfiR-1B-Base</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiR-1B-Base</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiR-1B-Base</guid>
<description></description>
</item>
<item>
<title>InfiR-1B-Instruct</title>
<link>http://infixai.github.io/huggingface.co/InfiX-ai/InfiR-1B-Instruct</link>
<pubDate>Thu, 31 Jul 2025 11:37:44 +0000</pubDate>
<guid>http://infixai.github.io/huggingface.co/InfiX-ai/InfiR-1B-Instruct</guid>
<description></description>
</item>
<item>
<title>InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection</title>
<link>http://infixai.github.io/research/infiguiagent/</link>
<pubDate>Thu, 09 Jan 2025 00:00:00 +0000</pubDate>
<guid>http://infixai.github.io/research/infiguiagent/</guid>
<description>InfiGUIAgent is a multimodal generalist GUI agent trained through a two-stage supervised fine-tuning approach, focusing on fundamental GUI understanding skills and advanced reasoning capabilities for native GUI interactions.</description>
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