XAttention: Block Sparse Attention with Antidiagonal Scoring

Generating long sequences with sparse transformers, 2019b

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Child, R., Gray, S., Radford, A., and Sutskever, I · 1904

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Longformer: The long-document transformer, 2020

Original

Beltagy, I., Peters, M. E., and Cohan, A · 2004

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Memory transformer, 2021

Original

Burtsev, M. S., Kuratov, Y., Peganov, A., and Sapunov, G. V · 2006

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Attention is all you need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I · 2017

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Big bird: Transformers for longer sequences

Zaheer, M., Guruganesh, G., Dubey, K. A., Ainslie, J., Alberti, C., Ontañón, S., Pham, P., Ravula, A., Wang, Q., Yang, L., and Ahmed, A · 2020

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FlashAttention: Fast and memory-efficient exact attention with IO-awareness, 2022

Original

Dao, T., Fu, D. Y., Ermon, S., Rudra, A., and Ré, C · 2022

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Longbench: A bilingual, multitask benchmark for long context understanding

Original

Bai, Y., Lv, X., Zhang, J., Lyu, H., Tang, J., Huang, Z., Du, Z., Liu, X., Zeng, A., Hou, L., Dong, Y., Tang, J., and Li, J · 2023

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Extending context window of large language models via positional interpolation, 2023

Chen, S., Wong, S., Chen, L., and Tian, Y · 2023

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FlashAttention-2: Faster attention with better parallelism and work partitioning, 2023

Dao, T · 2023

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Efficient memory management for large language model serving with pagedattention, 2023

Kwon, W., Li, Z., Zhuang, S., Sheng, Y., Zheng, L., Yu, C. H., Gonzalez, J. E., Zhang, H., and Stoica, I · 2023

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Video-llava: Learning united visual representation by alignment before projection, 2023

Lin, B., Ye, Y., Zhu, B., Cui, J., Ning, M., Jin, P., and Yuan, L · 2023

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Ring attention with blockwise transformers for near-infinite context, 2023

Liu, H., Zaharia, M., and Abbeel, P · 2023

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Gpt-4 technical report, 2023

OpenAI · 2023

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Scalable diffusion models with transformers, 2023

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Peebles, W. and Xie, S · 2023

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Yarn: Efficient context window extension of large language models, 2023

Peng, B., Quesnelle, J., Fan, H., and Shippole, E · 2023

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H 2 o: Heavy-hitter oracle for efficient generative inference of large language models, 2023

Zhang, Z., Sheng, Y., Zhou, T., Chen, T., Zheng, L., Cai, R., Song, Z., Tian, Y., Ré, C., Barrett, C., Wang, Z., and Chen, B · 2023

Cited alongside, same era.

The llama 3 herd of models, 2024

Original

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Awq: Activation-aware weight quantization for llm compression and acceleration, 2024

Lin, J., Tang, J., Tang, H., Yang, S., Chen, W.-M., Wang, W.-C., Xiao, G., Dang, X., Gan, C., and Han, S · 2024

Later among the works it cites.

Qserve: W4a8kv4 quantization and system co-design for efficient llm serving

Original

Lin*, Y., Tang*, H., Yang*, S., Zhang, Z., Xiao, G., Gan, C., and Han, S · 2024

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Transformers are multi-state rnns, 2024

Original

Oren, M., Hassid, M., Yarden, N., Adi, Y., and Schwartz, R · 2024

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Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution

Original

Wang, P., Bai, S., Tan, S., Wang, S., Fan, Z., Bai, J., Chen, K., Liu, X., Wang, J., Ge, W., Fan, Y., Dang, K., Du, M., Ren, X., Men, R., Liu, D., Zhou, C., Zhou, J., and Lin, J · 2024

Later among the works it cites.