Papers by Lianghao Deng
MuKA: Multimodal Knowledge Augmented Visual Information-Seeking (2025.coling-main)
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| Challenge: | Existing methods for visual information-seeking tasks rely on textual knowledge . existing methods can impair information retrieval and confuse MLLMs . |
| Approach: | They propose a framework which leverages a multimodal knowledge base to address these limitations. |
| Outcome: | The proposed framework outperforms state-of-the-art methods on the InfoSeek and E-VQA benchmarks. |
DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints (2026.acl-long)
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Yinger Zhang, Shutong Jiang, Renhao Li, Jianhong Tu, Yang Su, Lianghao Deng, Xudong Guo, ChenXu Lv, Junyang Lin
| Challenge: | Existing LLM planning benchmarks emphasize local, step-level reasoning rather than global constrained optimization. |
| Approach: | They propose a benchmark for practical long-horizon agent planning that uses local constrained reasoning and global constrained optimization. |
| Outcome: | The proposed benchmarks show that even frontier agentic LLMs struggle with these problems. |