Accelerating Attention with Basis Decomposition | Paper Citation Record

Observation 73142ff2-4f01-4393-9534-36de299848ad · outbound

This paper cites Croci, Marcelo Gennari do Nascimento, Torsten Hoefler, and James Hensman.

Accelerating Attention with Basis Decomposition Croci, Marcelo Gennari do Nascimento, Torsten Hoefler, and James Hensman

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.229619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 640eeb3a-151f-454f-9f2f-4da6f2fa88f4 · outbound

This paper cites Longformer: The Long-Document Transformer.

Accelerating Attention with Basis Decomposition Longformer: The Long-Document Transformer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.269838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7045ed7-be93-4994-92ba-59ddb6e45bc7 · outbound

This paper cites Language Models are Few-Shot Learners.

Accelerating Attention with Basis Decomposition Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.322033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d8f182-ab52-47d9-8058-734c395a446f · outbound

This paper cites Linear least squares solutions by householder transformations.

Accelerating Attention with Basis Decomposition Linear least squares solutions by householder transformations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.370688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a81a44c-5501-4bb1-a19d-95d6a2fb30ee · outbound

This paper cites u ker, Luisa Bentivogli, and Marcello Federico. Report on the 11th IWSLT evaluation campaign. In Marcello Federico, Sebastian St \.

Accelerating Attention with Basis Decomposition u ker, Luisa Bentivogli, and Marcello Federico. Report on the 11th IWSLT evaluation campaign. In Marcello Federico, Sebastian St \

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.457634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af29c4f-d56f-4c78-ac2c-3a8c2f8f77cb · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Accelerating Attention with Basis Decomposition Generating Long Sequences with Sparse Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.547368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce563b0-900f-4561-a90d-b07ee1fdde09 · outbound

This paper cites Rethinking attention with performers.

Accelerating Attention with Basis Decomposition Rethinking attention with performers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.602091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20be47fb-d94d-4b85-8eb5-9b30cf963f76 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Accelerating Attention with Basis Decomposition FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.663535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a61534-ad57-4eeb-a424-c151aadd6afb · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Accelerating Attention with Basis Decomposition Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.706584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6941ade-a66e-46b3-b115-1816909e2f36 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Accelerating Attention with Basis Decomposition An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.763214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2bba1f1-1e01-4127-83a6-4f2bc1d452d3 · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot.

Accelerating Attention with Basis Decomposition Sparsegpt: Massive language models can be accurately pruned in one-shot

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.802792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6010a440-46a5-4e74-89ff-412c8e4fa407 · outbound

This paper cites OPTQ : Accurate quantization for generative pre-trained transformers.

Accelerating Attention with Basis Decomposition OPTQ : Accurate quantization for generative pre-trained transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.824068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9db1f6-3352-4f02-9ef6-f5ca335451d4 · outbound

This paper cites Strategies for applying low rank decomposition to transformer-based models.

Accelerating Attention with Basis Decomposition Strategies for applying low rank decomposition to transformer-based models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.865017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a057aba3-d32e-4e15-9bf0-b17222eaee1d · outbound

This paper cites SLTrain : a sparse plus low-rank approach for parameter and memory efficient pretraining.

Accelerating Attention with Basis Decomposition SLTrain : a sparse plus low-rank approach for parameter and memory efficient pretraining

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.910134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4e18b6-074b-42af-9377-38971a8d2709 · outbound

This paper cites Language model compression with weighted low-rank factorization.

Accelerating Attention with Basis Decomposition Language model compression with weighted low-rank factorization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:30.931321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a63d98f-6da0-464d-9196-37cc203100a1 · outbound

This paper cites Lo RA : Low-rank adaptation of large language models.

Accelerating Attention with Basis Decomposition Lo RA : Low-rank adaptation of large language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.029756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b676826-9b17-4b04-b090-538dc0d1f1d4 · outbound

This paper cites From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications.

Accelerating Attention with Basis Decomposition From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.091978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a14013-6408-4d60-858d-e52a7e75f9e7 · outbound

This paper cites Exploring Low Rank Training of Deep Neural Networks.

Accelerating Attention with Basis Decomposition Exploring Low Rank Training of Deep Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.209617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 631783ef-d799-40a2-8984-3a39a3333220 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Accelerating Attention with Basis Decomposition Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.333202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dedb3b3c-0143-447c-86ac-5a807bdcfb2e · outbound

This paper cites LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression.

Accelerating Attention with Basis Decomposition LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.437126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec62ac58-2159-4e00-978d-e4bd905ef6e1 · outbound

This paper cites Tenenholtz, Lester Mackey, and Nicolo Fusi.

Accelerating Attention with Basis Decomposition Tenenholtz, Lester Mackey, and Nicolo Fusi

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.557629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f83de22-e96d-4476-9f62-7053a68070a3 · outbound

This paper cites Reformer: The efficient transformer.

Accelerating Attention with Basis Decomposition Reformer: The efficient transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.651506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31db1703-5b8b-4a93-b2ca-a68b152ecc44 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Accelerating Attention with Basis Decomposition Efficient memory management for large language model serving with pagedattention

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.752334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 643ba7d0-1136-467c-b008-08c2923f039d · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Accelerating Attention with Basis Decomposition Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.894154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01fa899c-3f53-4895-be6e-7047fb963ed7 · outbound

This paper cites L o S parse: Structured compression of large language models based on low-rank and sparse approximation.

Accelerating Attention with Basis Decomposition L o S parse: Structured compression of large language models based on low-rank and sparse approximation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:31.978012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f261d3aa-14a0-4a8d-9c5a-d529ae8ba1dc · outbound

This paper cites Relo RA : High-rank training through low-rank updates.

Accelerating Attention with Basis Decomposition Relo RA : High-rank training through low-rank updates

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.133004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cdf235-0bfd-4f03-99a5-b557d1825d12 · outbound

This paper cites MoDeGPT: Modular Decomposition for Large Language Model Compression.

Accelerating Attention with Basis Decomposition MoDeGPT: Modular Decomposition for Large Language Model Compression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.247901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83137743-3cb1-4ff3-b11a-6cf1c74487d4 · outbound

This paper cites Duquant: Distributing outliers via dual transformation makes stronger quantized LLM s.

Accelerating Attention with Basis Decomposition Duquant: Distributing outliers via dual transformation makes stronger quantized LLM s

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.347427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f0d11ae-4f6e-4531-a7cc-a1a6c23fc160 · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration.

Accelerating Attention with Basis Decomposition Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.471274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae5674c-ffb0-4b20-839e-613f321f3d60 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Accelerating Attention with Basis Decomposition DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.527232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07b3b64d-3b08-49e8-8f1c-d43f6e3b80c1 · outbound

This paper cites DeepSeek-V3 Technical Report.

Accelerating Attention with Basis Decomposition DeepSeek-V3 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.615317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0258c38e-9abe-4a8a-b13e-c7ebc7dac914 · outbound

This paper cites Dora: weight-decomposed low-rank adaptation.

Accelerating Attention with Basis Decomposition Dora: weight-decomposed low-rank adaptation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.698827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5384e6-bb56-4bcc-8dd3-d47a66c0135b · outbound

This paper cites Eora: Fine-tuning-free compensation for compressed llm with eigenspace low-rank approximation, 2025.

Accelerating Attention with Basis Decomposition Eora: Fine-tuning-free compensation for compressed llm with eigenspace low-rank approximation, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.861188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac60136-ac83-4676-a145-dda4bcac9790 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.

Accelerating Attention with Basis Decomposition Llm-pruner: On the structural pruning of large language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:32.977760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953b5e5b-d8ec-4d75-a517-f86fd2b5d80d · outbound

This paper cites Pi SSA : Principal singular values and singular vectors adaptation of large language models.

Accelerating Attention with Basis Decomposition Pi SSA : Principal singular values and singular vectors adaptation of large language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.097917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dbea6ef-0b63-4017-9997-9c4ea74232fe · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

Accelerating Attention with Basis Decomposition Accelerating Sparse Deep Neural Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.214208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d439b2ad-6e08-4225-bfbd-55466bb6f4e4 · outbound

This paper cites Dobi-svd: Differentiable svd for llm compression and some new perspectives.

Accelerating Attention with Basis Decomposition Dobi-svd: Differentiable svd for llm compression and some new perspectives

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.322566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f961544-b9b2-4dd2-8839-cc51cc6df62f · outbound

This paper cites Improving language understanding by generative pre-training.

Accelerating Attention with Basis Decomposition Improving language understanding by generative pre-training

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.440915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43b9212-5043-4bf1-9d40-21ba7e391419 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Accelerating Attention with Basis Decomposition Learning transferable visual models from natural language supervision

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.536976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278dc369-fde2-4308-9668-e49d0114f923 · outbound

This paper cites an unresolved cited work.

Accelerating Attention with Basis Decomposition Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.587104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e01949-78d7-4159-beb9-0126df88ca27 · outbound

This paper cites Compressing large language models using low rank and low precision decomposition.

Accelerating Attention with Basis Decomposition Compressing large language models using low rank and low precision decomposition

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.690785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 342da8c0-a4e9-4b3f-9574-f2d413e0f6b4 · outbound

This paper cites ESPACE : Dimensionality reduction of activations for model compression.

Accelerating Attention with Basis Decomposition ESPACE : Dimensionality reduction of activations for model compression

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.809317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e920ecbc-9788-49b6-8e95-0174b00261b3 · outbound

This paper cites Robust low-rank training via approximate orthonormal constraints.

Accelerating Attention with Basis Decomposition Robust low-rank training via approximate orthonormal constraints

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:33.919849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea1abe1-5963-4ead-a7f4-2d53663b6ac1 · outbound

This paper cites Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.

Accelerating Attention with Basis Decomposition Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:34.055161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e826c3-8a4c-4eb0-a545-a663f681d28b · outbound

This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision.

Accelerating Attention with Basis Decomposition Flashattention-3: Fast and accurate attention with asynchrony and low-precision

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:34.234225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586d5a36-5a80-422b-b19e-72f3bccac425 · outbound

This paper cites The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction.

Accelerating Attention with Basis Decomposition The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:34.403786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 528f9003-faa7-48b4-80d5-90af2d766239 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding, 2021.

Accelerating Attention with Basis Decomposition Roformer: Enhanced transformer with rotary position embedding, 2021

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:34.560871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18fd2129-8fbe-4609-949c-f15b7ecfa635 · outbound

This paper cites A simple and effective pruning approach for large language models.

Accelerating Attention with Basis Decomposition A simple and effective pruning approach for large language models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:34.725960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae9a8c8-8529-4874-9453-f8d373e940e4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Accelerating Attention with Basis Decomposition LLaMA: Open and Efficient Foundation Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:34.850727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e2ec9d2-3863-4724-a5b5-713fdfd1aa2f · outbound

This paper cites an unresolved cited work.

Accelerating Attention with Basis Decomposition Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:34.978563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0136548-5b07-446f-8cd5-045e713c7f8b · outbound

This paper cites Attention is all you need.

Accelerating Attention with Basis Decomposition Attention is all you need

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.063112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec3bf8d-1d0f-4873-9ac4-a9fea3897be1 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Accelerating Attention with Basis Decomposition Linformer: Self-Attention with Linear Complexity

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.148840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d362884c-1a04-4ac8-93cd-c40cc7ca3094 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

Accelerating Attention with Basis Decomposition SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.258159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c321b518-a77c-447f-97dd-88711359f07e · outbound

This paper cites S mooth Q uant: Accurate and efficient post-training quantization for large language models.

Accelerating Attention with Basis Decomposition S mooth Q uant: Accurate and efficient post-training quantization for large language models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.361956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a849161-2923-4d55-bd1f-e3a7efe8544a · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

Accelerating Attention with Basis Decomposition ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.464572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd338049-9301-4ef7-b7ea-92b6c9f09adf · outbound

This paper cites IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning.

Accelerating Attention with Basis Decomposition IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.581040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45d9535-e250-4bd4-bb31-6d366b7a860a · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

Accelerating Attention with Basis Decomposition Adaptive budget allocation for parameter-efficient fine-tuning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.660902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1bce96b-694c-43aa-9b5e-4f059156fc26 · outbound

This paper cites OATS : Outlier-aware pruning through sparse and low rank decomposition.

Accelerating Attention with Basis Decomposition OATS : Outlier-aware pruning through sparse and low rank decomposition

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.775920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3d7516-ad5f-4dd5-a41c-de003089dfb9 · outbound

This paper cites Plug-and-play: An efficient post-training pruning method for large language models.

Accelerating Attention with Basis Decomposition Plug-and-play: An efficient post-training pruning method for large language models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.900097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f894493-e622-4418-a1e9-097317145de2 · outbound

This paper cites Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models.

Accelerating Attention with Basis Decomposition Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.977946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd34c8b-9224-430b-aadc-c57a7b72dc78 · outbound

This paper cites InRank: Incremental Low-Rank Learning.

Accelerating Attention with Basis Decomposition InRank: Incremental Low-Rank Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:36.066165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8f7a76-881c-47a7-8042-894e98116cea · outbound

This paper cites write newline.

Accelerating Attention with Basis Decomposition write newline

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:36.165106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d17f1a5-7d81-45eb-8f50-b2065d4371e8 · outbound

This paper cites @esa (Ref.

Accelerating Attention with Basis Decomposition @esa (Ref

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:36.285194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e27143-3258-49e6-9bd8-d9078579c549 · outbound

This paper cites an unresolved cited work.

Accelerating Attention with Basis Decomposition Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:36.403613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ee1195-c7ea-4742-86e3-af5f4901c69b · outbound

This paper cites u `:^!t )GeuwokcJ _ ]n?ICq .WT +BCBC &q=2.

Accelerating Attention with Basis Decomposition u `:^!t )GeuwokcJ _ ]n?ICq .WT +BCBC &q=2

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:36.489014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers