Papers by Tung Kieu
SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts (2025.findings-emnlp)
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| Challenge: | SLMs offer computational efficiency and accessibility, yet a systematic evaluation of their performance and environmental impact remains lacking. |
| Approach: | SLM-Bench evaluates 15 SLMs on 9 NLP tasks using 23 datasets . compared accuracy, computational efficiency, and sustainability metrics . |
| Outcome: | SLM-Bench evaluates 15 SLMs on 9 NLP tasks using 23 datasets spanning 14 domains. |
FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation (2026.findings-acl)
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| Challenge: | Existing models that correct errors in the model but lack a high quality of output . a novel training framework that matches inference noise to the model's inference signal improves performance . |
| Approach: | They propose a training framework that matches inference noise to model errors by perturbing the self-conditioning signal to match inference errors. |
| Outcome: | The proposed framework surpasses standard continuous diffusion models while providing 400x faster inference speed. |