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All SourcesarXiv
#multimodal reasoning

Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning

Intermediate
Dongjie Cheng, Yongqi Li et al.Jan 14arXiv

Omni-R1 teaches AI to think with pictures and words at the same time by drawing helpful mini-images while reasoning.

#multimodal reasoning#interleaved generation#functional image generation

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning

Intermediate
Chengwen Liu, Xiaomin Yu et al.Jan 11arXiv

VideoDR is a new benchmark that tests if AI can watch a video, pull out key visual clues, search the open web, and chain the clues together to find one verifiable answer.

#video deep research#multimodal reasoning#open-domain question answering

See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning

Intermediate
Shuoshuo Zhang, Yizhen Zhang et al.Dec 26arXiv

The paper teaches vision-language models (AIs that look and read) to pay attention to the right picture parts without needing extra tools during answering time.

#BiPS#perceptual shaping#vision-language models

LongVideoAgent: Multi-Agent Reasoning with Long Videos

Intermediate
Runtao Liu, Ziyi Liu et al.Dec 23arXiv

LongVideoAgent is a team of three AIs that work together to answer questions about hour‑long TV episodes without missing small details.

#long video question answering#multi-agent reasoning#temporal grounding

InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search

Intermediate
Kaican Li, Lewei Yao et al.Dec 21arXiv

This paper builds a tough new test called O3-BENCH to check if AI can truly think with images, not just spot objects.

#multimodal reasoning#generalized visual search#reinforcement learning

A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos

Intermediate
Mohammed Irfan Kurpath, Jaseel Muhammad Kaithakkodan et al.Dec 18arXiv

This paper builds a new test, LongShOTBench, to check if AI can truly understand long videos by using sight, speech, and sounds together.

#long-form video understanding#multimodal reasoning#audio-visual-speech alignment

Puzzle Curriculum GRPO for Vision-Centric Reasoning

Intermediate
Ahmadreza Jeddi, Hakki Can Karaimer et al.Dec 16arXiv

This paper teaches vision-language models to reason about pictures using puzzles instead of expensive human labels.

#vision-language models#reinforcement learning#group-relative policy optimization

A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning

Intermediate
Zixin Zhang, Kanghao Chen et al.Dec 16arXiv

This paper builds A4-Agent, a smart three-part helper that figures out where to touch or use an object just from a picture and a written instruction, without any extra training.

#affordance prediction#zero-shot learning#vision-language models
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