Papers by Max Zuo
Trove: A Flexible Toolkit for Dense Retrieval (2026.eacl-demo)
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| Challenge: | Existing retrieval tools require considerable engineering effort for many tasks like efficient data management or model customization. |
| Approach: | They propose a novel open-source retrieval toolkit that simplifies research experiments without sacrificing flexibility or speed. |
| Outcome: | The proposed tool reduces memory consumption by 2.6 and allows for arbitrary customizations. |
Revisiting Generalization Across Difficulty Levels: It’s Not So Easy (2026.eacl-long)
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| Challenge: | Existing research is mixed regarding whether training on easier or harder data leads to better results. |
| Approach: | They examine how well large language models generalize across different task difficulties by using a large dataset and a well-established difficulty metric. |
| Outcome: | The results show that training on hard data can't achieve consistent improvements across the full range of difficulties. |
Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages (2025.naacl-long)
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| Challenge: | Existing evaluation methods struggle to ensure semantic correctness and rely on simple or unrealistic datasets. |
| Approach: | They propose a benchmark to evaluate language models’ ability to generate PDDL code from natural language descriptions of planning tasks. |
| Outcome: | The proposed benchmark evaluates the ability of language models to generate PDDL code from natural language descriptions of planning tasks against ground truth and a dataset of 145,918 text-to-PDDL pairs with varying levels of difficulty. |