Papers with future exploration
Smurfs: Multi-Agent System using Context-Efficient DFSDT for Tool Planning (2025.naacl-long)
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| Challenge: | Teaching large language models to use tools for solving complex problems can grant them human-like reasoning abilities. |
| Approach: | They propose a multi-agent system that enhances the Deep First Search Decision Tree (DFSDT) to address issues like error propagation and limited exploration in ReAct . |
| Outcome: | The proposed system reduces token usage by 60.9% compared to existing methods and performs on par with GPT-4-DFSDT. |
GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation (2022.emnlp-main)
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Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
| Challenge: | ZPs are often omitted when they can be pragmatically or grammatically inferred from intraand inter-sentential contexts. |
| Approach: | They propose a benchmark testset for target evaluation on Chinese-English ZP translation. |
| Outcome: | The proposed testset covers five genres and identifies current challenges for evaluation. |