Zican Dong
According to our database1,
Zican Dong authored at least 20 papers
between 2022 and 2026.
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Bibliography
2026
ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution.
CoRR, February, 2026
2025
How Efficient Are Diffusion Language Models? A Critical Examination of Efficiency Evaluation Practices.
CoRR, October, 2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation.
CoRR, February, 2025
Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024
2023
StructGPT: A General Framework for Large Language Model to Reason over Structured Data.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022