Update README.md

README.md

@@ -12,14 +12,14 @@ Join [discord](https://discord.gg/vDaJTmKNcS) if you are interested in this proj
 | 2023-07 |       RetNet (@MSRA@THU)       |        Retentive network: a successor to transformer for large language models        |                            [[arxiv]](https://arxiv.org/abs/2307.08621)                             |                            [[official]](https://github.com/microsoft/torchscale/tree/main) [[RetNet]](https://github.com/Jamie-Stirling/RetNet/tree/main)                            | [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/multiscale_retention.py) |
 | 2023-12 |         GLA (@MIT@IBM)         |         Gated Linear Attention Transformers with Hardware-Efficient Training          |                            [[arxiv]](https://arxiv.org/abs/2312.06635)                             |                                                           [[official]](https://github.com/berlino/gated_linear_attention)                                                            |         [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/gla.py)          |
 | 2023-12 | Based (@Stanford@Hazyresearch) |                      An Educational and Effective Sequence Mixer                      |             [[blog]](https://hazyresearch.stanford.edu/blog/2023-12-11-zoology2-based)             |                                                                [[official]](https://github.com/HazyResearch/zoology)                                                                 |        [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/based.py)         |
-| 2024-01 | Rebased |                   Linear Transformers with Learnable Kernel Functions are Better In-Context Models           |             [[arxiv]](https://arxiv.org/abs/2402.10644)             |                                                                [[official]](https://github.com/corl-team/rebased/)                                                                 |        [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/rebased.py)         |
-| 2021-02 | Delta Net |                  Linear Transformers Are Secretly Fast Weight Programmers           |             [[arxiv]](https://arxiv.org/abs/2102.11174)             |                                                                [[official]](https://github.com/IDSIA/recurrent-fwp)                                                                 |        [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/delta_net.py)         |
+| 2024-01 |            Rebased             |   Linear Transformers with Learnable Kernel Functions are Better In-Context Models    |                            [[arxiv]](https://arxiv.org/abs/2402.10644)                             |                                                                 [[official]](https://github.com/corl-team/rebased/)                                                                  |       [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/rebased.py)        |
+| 2021-02 |           Delta Net            |               Linear Transformers Are Secretly Fast Weight Programmers                |                            [[arxiv]](https://arxiv.org/abs/2102.11174)                             |                                                                 [[official]](https://github.com/IDSIA/recurrent-fwp)                                                                 |      [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/delta_net.py)       |
 | 2023-09 |    Hedgehog (@HazyResearch)    |    The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry    |                      [openreview](https://openreview.net/forum?id=4g02l2N2Nx)                      |                                                                                                                                                                                      |   [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/linear_attn.py#L51)    |
 | 2023-10 | PolySketchFormer (@CMU@Google) |                  Fast Transformers via Sketching Polynomial Kernels                   |                             [arxiv](https://arxiv.org/abs/2310.01655)                              |                                                                                                                                                                                      |                                                    TODO                                                     |
 | 2023-07 |         TransnormerLLM         | A Faster and Better Large Language Model with Improved TransNormer (@Shanghai AI Lab) | [openreview](https://openreview.net/forum?id=OROKjdAfjs) [arxiv](https://arxiv.org/abs/2307.14995) |                           [[official]](https://github.com/OpenNLPLab/TransnormerLLM)    [[Lightning2]](https://github.com/OpenNLPLab/lightning-attention)                            |                                                    TODO                                                     |
 | 2023-05 |       RWKV-v6 (@BlinkDL)       |                       Reinventing RNNs for the Transformer Era                        |                             [arxiv](https://arxiv.org/abs/2305.13048)                              |                                                                   [[official]](https://github.com/BlinkDL/RWKV-LM)                                                                   |                                                    TODO                                                     |
 | 2023-10 |            GateLoop            |             Fully Data-Controlled Linear Recurrence for Sequence Modeling             | [openreview](https://openreview.net/forum?id=02Ug9N8DCI) [arxiv](https://arxiv.org/abs/2311.01927) | [[official]](https://github.com/tobiaskatsch/GateLoop)                                                                   [[jax]](https://github.com/lucidrains/gateloop-transformer) |                                                    TODO                                                     |
-| 2021-10 |           ABC (@UW)            |                         Attention with Bounded-memory Control                         |                             [arxiv](https://arxiv.org/abs/2110.02488)                              |                                                                                                                                                                                      |                                                    TODO                                                     |
+| 2021-10 |           ABC (@UW)            |                         Attention with Bounded-memory Control                         |                             [arxiv](https://arxiv.org/abs/2110.02488)                              |                                                                                                                                                                                      |         [code](https://github.com/sustcsonglin/flash-linear-attention/blob/main/fla/layers/abc.py)          |
 | 2023-09 |         VQ-transformer         |                   Linear-Time Transformers via Vector Quantization                    |                             [arxiv](https://arxiv.org/abs/2309.16354)                              |                                                            [[official]](https://github.com/transformer-vq/transformer_vq)                                                            |                                                    TODO                                                     |
 
 # Installation