Tengyu Pan

According to our database1, Tengyu Pan authored at least 13 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Maximum Score Routing For Mixture-of-Experts.
CoRR, August, 2025

Efficient Attention Mechanisms for Large Language Models: A Survey.
CoRR, July, 2025

COMM:Concentrated Margin Maximization for Robust Document-Level Relation Extraction.
CoRR, March, 2025

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling.
CoRR, February, 2025

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding.
CoRR, February, 2025

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FocusLLM: Precise Understanding of Long Context by Dynamic Condensing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Maximum Score Routing For Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
FocusLLM: Scaling LLM's Context by Parallel Decoding.
CoRR, 2024

Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024


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