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Quantong Qiu

2 accepted papers

2026

Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient Transformers

ICML 2026poster

The quadratic complexity of standard attention mechanisms poses a significant scalability bottleneck for large language models (LLMs) in long-context scenarios. While hybrid attention strategies that combine sparse and full attention within a single model offer a viable solution, they typically empl…

Cited by 0SourceScholar
2025

Accurate KV Cache Quantization with Outlier Tokens Tracing

ACL 2025long

The impressive capabilities of Large Language Models (LLMs) come at the cost of substantial computational resources during deployment. While KV Cache can significantly reduce recomputation during inference, it also introduces additional memory overhead. KV Cache quantization presents a promising sol…