Papers by Mengjie Deng
ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use (2026.findings-acl)
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| Challenge: | Recent advances in large language models have demonstrated remarkable problem-solving capabilities . however, enabling multimodal large language model to flexibly and efficiently utilize external tools remains a challenge . |
| Approach: | They introduce an agentic framework to unify global planning with local multimodal perception . they evaluate ToolScope on four VQA benchmarks across diverse domains . |
| Outcome: | The proposed framework unifies global planning with local multimodal perception . it adopts a specialized Perceive tool to mitigate visual context degradation in long-horizon VQA task. |
Progressive Multimodal Reasoning via Active Retrieval (2025.acl-long)
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| Challenge: | Existing approaches to improve multimodal large language models' reasoning performance are limited. |
| Approach: | They propose a framework to progressively improve multimodal reasoning capabilities . they propose active retrieval and Monte Carlo tree search to improve MLLMs' reasoning . |
| Outcome: | The proposed framework improves multimodal reasoning capabilities in multimodal large language models. |