SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling | Paper Citation Record

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This paper cites 2019 , eprint=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling 2019 , eprint=

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This paper cites 2026 , url=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling 2026 , url=

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This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=

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This paper cites Advances in Neural Information Processing Systems , year=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in Neural Information Processing Systems , year=

Reference 4

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This paper cites 2026 , eprint=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling 2026 , eprint=

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This paper cites Advances in Neural Information Processing Systems , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in Neural Information Processing Systems , volume=

Reference 6

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This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 7

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Observation cb3af98a-dfae-4b11-87e4-355f820cf599 · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 9

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling 2025 , eprint=

Reference 10

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This paper cites , author=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling , author=

Reference 11

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This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 12

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This paper cites Advances in neural information processing systems , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in neural information processing systems , volume=

Reference 13

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This paper cites Advances in neural information processing systems , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in neural information processing systems , volume=

Reference 14

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

Reference 15

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This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 16

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling 2016 , eprint=

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

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This paper cites OpenAI blog , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling OpenAI blog , volume=

Reference 19

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

Reference 20

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Observation 9e58044d-cfeb-49a5-b2c0-79d2cdae3d82 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 21

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This paper cites Reproducible scaling laws for contrastive language-image learning.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Reproducible scaling laws for contrastive language-image learning

Reference 22

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

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This paper cites Advances in neural information processing systems , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in neural information processing systems , volume=

Reference 24

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This paper cites Advances in neural information processing systems , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in neural information processing systems , volume=

Reference 25

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This paper cites Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models

Reference 26

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This paper cites You Only Cache Once: Decoder-Decoder Architectures for Language Models.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling You Only Cache Once: Decoder-Decoder Architectures for Language Models

Reference 27

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This paper cites Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Reference 28

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

Reference 29

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This paper cites MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding

Reference 30

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This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 31

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This paper cites International Conference on Machine Learning , pages=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling International Conference on Machine Learning , pages=

Reference 32

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling int8 (): 8-bit matrix multiplication for transformers at scale , author=

Reference 33

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 35

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling International conference on machine learning , pages=

Reference 36

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Linformer: Self-Attention with Linear Complexity

Reference 37

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling RWKV: Reinventing RNNs for the Transformer Era

Reference 38

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 39

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 40

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference

Reference 41

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoder

Reference 42

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling SnapKV: LLM Knows What You are Looking for Before Generation

Reference 43

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This paper cites Advances in Neural Information Processing Systems , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in Neural Information Processing Systems , volume=

Reference 44

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Fast Transformer Decoding: One Write-Head is All You Need

Reference 45

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 46

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Effectively Compress KV Heads for LLM

Reference 47

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 48

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 49

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling A Simple and Effective Pruning Approach for Large Language Models

Reference 50

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling arXiv preprint arXiv:2106.10199 , year=

Reference 51

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This paper cites Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models

Reference 52

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Masking as an Efficient Alternative to Finetuning for Pretrained Language Models

Reference 53

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This paper cites Advances in Neural Information Processing Systems , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in Neural Information Processing Systems , volume=

Reference 54

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This paper cites Composable Sparse Fine-Tuning for Cross-Lingual Transfer.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Reference 55

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Parameter-Efficient Transfer Learning with Diff Pruning

Reference 57

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 58

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling WARP: Word-level Adversarial ReProgramming

Reference 59

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Observation 5d90199a-bfd5-4e0a-96be-5c9cfee76f11 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 60

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Observation 315fd48a-15a8-4f6a-896b-d06d6415075c · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling AI Open , year=

Reference 61

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Observation 93b5082e-d193-4aa9-90f9-b404adc04ab0 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer

Reference 62

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

Reference 63

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Observation 2ffbfd06-bb48-48ce-8b67-07008e7f015a · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning

Reference 64

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Observation c770d1b2-70e8-40d4-90cd-685091a947ea · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in Neural Information Processing Systems , volume=

Reference 65

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Observation b8e5371a-9ce3-4f82-ae38-1b7a14c5e7b6 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Reference 66

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Observation e45ec2d2-c888-485d-bc78-1829020a2c26 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation

Reference 67

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Observation 2d986e66-4542-45a3-83f7-742ace5a3f3d · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 68

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Observation bc9c96e0-93d4-4930-90dc-1c127fbf8c83 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 69

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

Reference 70

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Findings of ACL 2022 , pages=

Reference 71

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling InRank: Incremental Low-Rank Learning

Reference 72

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation Models , year=

Reference 73

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Observation ee24cbef-c9ea-4adc-bd0d-1363318a25dc · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning

Reference 74

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Observation e689aed8-3166-4d44-bffe-c2b2249fa9fc · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning

Reference 75

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting

Reference 76

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of the national academy of sciences , volume=

Reference 77

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of the European conference on computer vision , pages=

Reference 78

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of Conference on Empirical Methods in Natural Language Processing , pages=

Reference 79

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 80

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of Conference on Empirical Methods in Natural Language Processing , pages=

Reference 81

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Advances in Neural Information Processing Systems , volume=

Reference 82

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of Conference on Empirical Methods in Natural Language Processing , pages=

Reference 83

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Observation 058b9474-aa3c-4fe7-ad01-60d23c238744 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Findings of the Association for Computational Linguistics: ACL 2022 , pages=

Reference 84

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Observation f6c57eaf-90c2-466a-bb66-0cceab6af3c4 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 85

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Observation 793f8bcb-5721-4d62-bbb0-543914ad0d5e · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks

Reference 86

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Observation d78a4d29-87aa-49c5-bf7b-ccd9027716ff · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling International Conference on Learning Representations , year=

Reference 87

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Observation d5155497-f5ec-4fcc-b983-f82587205943 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling International Conference on Learning Representations , year=

Reference 88

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Observation 28c03cfa-42b3-4889-a3dd-92615a8c5cf2 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Proceedings of Conference on Empirical Methods in Natural Language Processing , pages=

Reference 89

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Observation 3b8f4f8d-df66-4b15-b85c-7489c7ae80cc · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 90

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Observation 73b8ebf3-d160-4fa8-860d-b5341ee0a915 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Continual Learning of Large Language Models: A Comprehensive Survey

Reference 91

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Observation 20eebc25-91b2-4c29-8b70-64d4bb3a7a5b · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling 2024 , url=

Reference 92

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Observation 1a2e43c0-cba5-4a72-964c-9080c8df58b6 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling CoRR , volume =

Reference 93

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Observation d6137203-0ceb-4a26-ad78-3494a762c8e2 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling DeepSeek-V3 Technical Report

Reference 94

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Observation 686a8777-afe9-49ca-a3b0-f9b773ae6508 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

Reference 95

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Introducing

Reference 96

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Observation 4c587fbd-cca9-4a41-9e4a-010fccf079a4 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

Reference 97

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Observation c5492e16-77ca-4a10-bb27-fae137b7160a · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Unresolved cited work

Reference 98

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Observation d23a61ea-9159-4a90-9a98-a93133005b71 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 99

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Observation 1ec9fc38-7398-4774-a126-e105f352bd40 · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling LLaMA: Open and Efficient Foundation Language Models

Reference 100

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Observation abd61e8e-9dd8-4bf8-9d1c-ff612c38facc · outbound

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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Qwen Technical Report

Reference 101

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