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#verifiable rewards

LSRIF: Logic-Structured Reinforcement Learning for Instruction Following

Intermediate

Qingyu Ren, Qianyu He et al.Jan 10arXiv

Real instructions often have logic like and first-then and if-else and this paper teaches models to notice and obey that logic.

#instruction following#logical structures#parallel constraints

VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice

Intermediate

Shuming Liu, Mingchen Zhuge et al.Jan 8arXiv

The paper asks a simple question: do video AIs really need to “think out loud” every time, or can they answer quickly most of the time and think deeply only when needed?

#video reasoning#adaptive reasoning#early exit

Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation

Intermediate

Zhe Huang, Hao Wen et al.Dec 30arXiv

Multimodal Large Language Models (MLLMs) often hallucinate on videos by trusting words and common sense more than what the frames really show.

#multimodal large language model#video understanding#visual hallucination

AdaTooler-V: Adaptive Tool-Use for Images and Videos

Intermediate

Chaoyang Wang, Kaituo Feng et al.Dec 18arXiv

AdaTooler-V teaches an image-and-video AI to first ask, “Do I really need a tool?” before using one, which saves time and boosts accuracy.

#adaptive tool-use#multimodal chain-of-thought#visual tool interactions

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

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