Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents
cs.LG, cs.AI
Submitted: 2026-10-01
Updated: 2026-10-08
Project page: https://zfy0314.github.io/ssr-webpage
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Qwen2.5-VL Technical Report
- SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning
- TAPO: Tool-Aware Policy Optimization via Credit Transfer for Multimodal Search Agents
- XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models
- Inference-Time Budget Control for LLM Search Agents
- Seeking and Updating with Live Visual Knowledge
- Soft Adaptive Policy Optimization
- WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
- MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines
- HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents
- Visual Agentic Reinforcement Fine-Tuning
- Reasoning Models Can Be Effective Without Thinking
- DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
- LLM Agents Already Know When to Call Tools -- Even Without Reasoning
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- MMSearch-R1: Incentivizing LMMs to Search
- Chain of Draft: Thinking Faster by Writing Less
- StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
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