Olica: Efficient Structured Pruning of Large Language Models without Retraining | Paper Citation Record

Observation 41064b20-1250-4850-8e8b-40e4088f49a9 · outbound

This paper cites Fluctuation-based adaptive structured pruning for large language models.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Fluctuation-based adaptive structured pruning for large language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:40.097703Z

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Observation 7fe9ecfa-6eb7-4d74-969b-e453b725882d · outbound

This paper cites L., do Nascimento, M.

Olica: Efficient Structured Pruning of Large Language Models without Retraining L., do Nascimento, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:40.087208Z

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Observation 569125c7-7c54-4c5b-913c-2be2283e1d96 · outbound

This paper cites Qwen Technical Report.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Qwen Technical Report

Reference 3

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This paper cites Piqa: Reasoning about physical commonsense in natural language.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Piqa: Reasoning about physical commonsense in natural language

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:40.078610Z

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Observation a80e6b16-a357-4333-8eeb-61eb46a25d2c · outbound

This paper cites Language Models are Few-Shot Learners.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Language Models are Few-Shot Learners

Reference 5

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This paper cites E., et al.

Olica: Efficient Structured Pruning of Large Language Models without Retraining E., et al

Reference 6

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Unresolved cited work

Reference 7

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Observation b68a1f17-a927-4d81-8e9d-0454e2d676e7 · outbound

This paper cites B ool Q : Exploring the surprising difficulty of natural yes/no questions.

Olica: Efficient Structured Pruning of Large Language Models without Retraining B ool Q : Exploring the surprising difficulty of natural yes/no questions

Reference 8

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Observation 0c5a8a8d-19b9-423f-934e-c130bbd014f7 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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This paper cites Llm.int8(): 8-bit matrix multiplication for transformers at scale.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Llm.int8(): 8-bit matrix multiplication for transformers at scale

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:40.055339Z

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Observation d020975e-afee-4817-acc5-bf21a6866d45 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Olica: Efficient Structured Pruning of Large Language Models without Retraining BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:39.348041Z

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This paper cites and Carbin, M.

Olica: Efficient Structured Pruning of Large Language Models without Retraining and Carbin, M

Reference 12

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This paper cites and Alistarh, D.

Olica: Efficient Structured Pruning of Large Language Models without Retraining and Alistarh, D

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:40.040288Z

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Observation 9fd1edd8-5186-44f6-bb15-afa772a1c736 · outbound

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

Olica: Efficient Structured Pruning of Large Language Models without Retraining GPTQ : Accurate quantization for generative pre-trained transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:40.031774Z

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Observation f8cc4228-7631-4e41-886f-176f9f491dbd · outbound

This paper cites A framework for few-shot language model evaluation.

Olica: Efficient Structured Pruning of Large Language Models without Retraining A framework for few-shot language model evaluation

Reference 15

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Observation b7d143a3-5efe-411d-95d8-057a6636fc01 · outbound

This paper cites DISP - LLM : Dimension-independent structural pruning for large language models.

Olica: Efficient Structured Pruning of Large Language Models without Retraining DISP - LLM : Dimension-independent structural pruning for large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:40.013326Z

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Observation 118ceff0-c3ca-432c-be65-e4512a181769 · outbound

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

Olica: Efficient Structured Pruning of Large Language Models without Retraining Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models

Reference 17

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Unresolved cited work

Reference 18

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This paper cites and Stork, D.

Olica: Efficient Structured Pruning of Large Language Models without Retraining and Stork, D

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.994977Z

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Observation e8f83239-7055-496f-aca2-96aacd1f8aa1 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Distilling the Knowledge in a Neural Network

Reference 20

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

Olica: Efficient Structured Pruning of Large Language Models without Retraining Language model compression with weighted low-rank factorization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.986223Z

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This paper cites J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

Olica: Efficient Structured Pruning of Large Language Models without Retraining J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 22

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This paper cites Scaling Laws for Neural Language Models.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Scaling Laws for Neural Language Models

Reference 23

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This paper cites W., Hassoun, J., Keutzer, K., and Gholami, A.

Olica: Efficient Structured Pruning of Large Language Models without Retraining W., Hassoun, J., Keutzer, K., and Gholami, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.970489Z

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Observation 4106c974-5c69-4064-928c-ca899a392256 · outbound

This paper cites Optimal brain damage.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Optimal brain damage

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.959797Z

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Observation 73547191-d759-4027-9e6c-c9617ed2a3bc · outbound

This paper cites Lo RAP : Transformer sub-layers deserve differentiated structured compression for large language models.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Lo RAP : Transformer sub-layers deserve differentiated structured compression for large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.950637Z

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Observation 8e7c3c95-8515-4e64-bdd5-8617c9e0364a · outbound

This paper cites Slim GPT : Layer-wise structured pruning for large language models.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Slim GPT : Layer-wise structured pruning for large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.940835Z

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Observation 9ca82a9b-3f1c-4c8f-b81a-46ab410483b4 · outbound

This paper cites Group fisher pruning for practical network compression.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Group fisher pruning for practical network compression

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.931512Z

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Observation 0ef0bd3d-a453-4fea-8838-74730a677076 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Olica: Efficient Structured Pruning of Large Language Models without Retraining RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 29

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

Olica: Efficient Structured Pruning of Large Language Models without Retraining LLM -pruner: On the structural pruning of large language models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.922602Z

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This paper cites Pointer sentinel mixture models.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Pointer sentinel mixture models

Reference 31

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This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 32

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This paper cites Importance estimation for neural network pruning.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Importance estimation for neural network pruning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.908461Z

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Observation 694a289c-a9e0-4a94-bbfa-1a83fc8c4f4e · outbound

This paper cites GPT-4 Technical Report.

Olica: Efficient Structured Pruning of Large Language Models without Retraining GPT-4 Technical Report

Reference 34

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This paper cites Training language models to follow instructions with human feedback.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Training language models to follow instructions with human feedback

Reference 35

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This paper cites Improving language understanding with unsupervised learning.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Improving language understanding with unsupervised learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.893428Z

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This paper cites Language models are unsupervised multitask learners.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Language models are unsupervised multitask learners

Reference 37

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Unresolved cited work

Reference 38

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This paper cites L., Bhagavatula, C., and Choi, Y.

Olica: Efficient Structured Pruning of Large Language Models without Retraining L., Bhagavatula, C., and Choi, Y

Reference 39

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Movement pruning: Adaptive sparsity by fine-tuning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.868462Z

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This paper cites Are emergent abilities of large language models a mirage? In Thirty-seventh Conference on Neural Information Processing Systems, 2023.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Are emergent abilities of large language models a mirage? In Thirty-seventh Conference on Neural Information Processing Systems, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.858288Z

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

Olica: Efficient Structured Pruning of Large Language Models without Retraining Roformer: Enhanced transformer with rotary position embedding

Reference 42

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Unresolved cited work

Reference 43

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This paper cites Patient Knowledge Distillation for BERT Model Compression.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Patient Knowledge Distillation for BERT Model Compression

Reference 44

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This paper cites Generative adversarial learning with optimal input dimension and its adaptive generator architecture.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Generative adversarial learning with optimal input dimension and its adaptive generator architecture

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:19:39.600814Z

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This paper cites AMSC : Adaptive multi-dimensional structured compression with theoretical guarantees, 2025.

Olica: Efficient Structured Pruning of Large Language Models without Retraining AMSC : Adaptive multi-dimensional structured compression with theoretical guarantees, 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.834207Z

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Unresolved cited work

Reference 47

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Olica: Efficient Structured Pruning of Large Language Models without Retraining The falcon 3 family of open models, December 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.819487Z

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

Olica: Efficient Structured Pruning of Large Language Models without Retraining LLaMA: Open and Efficient Foundation Language Models

Reference 49

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

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Olica: Efficient Structured Pruning of Large Language Models without Retraining Unresolved cited work

Reference 51

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This paper cites N., Kaiser, L., and Polosukhin, I.

Olica: Efficient Structured Pruning of Large Language Models without Retraining N., Kaiser, L., and Polosukhin, I

Reference 52

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This paper cites H., Hashimoto, T., Vinyals, O., Liang, P., Dean, J., and Fedus, W.

Olica: Efficient Structured Pruning of Large Language Models without Retraining H., Hashimoto, T., Vinyals, O., Liang, P., Dean, J., and Fedus, W

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.795540Z

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Observation 3296aacd-ffea-423d-9557-0feb1c37d9d9 · outbound

This paper cites H., Le, Q.

Olica: Efficient Structured Pruning of Large Language Models without Retraining H., Le, Q

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.786191Z

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Observation 7d1d67fa-b526-4a31-9211-92fbc5ca27e0 · outbound

This paper cites Learning structured sparsity in deep neural networks.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Learning structured sparsity in deep neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:19:39.777077Z

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Observation fa09fa62-a5e1-48ea-81d0-adfe6f313f4a · outbound

This paper cites H ella S wag: Can a machine really finish your sentence? In Korhonen, A., Traum, D., and M \`a rquez, L.

Olica: Efficient Structured Pruning of Large Language Models without Retraining H ella S wag: Can a machine really finish your sentence? In Korhonen, A., Traum, D., and M \`a rquez, L

Reference 56

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Observation 5619ad58-3d09-48f9-9351-90b7711c4ff4 · outbound

This paper cites L o RAP rune: Structured pruning meets low-rank parameter-efficient fine-tuning.

Olica: Efficient Structured Pruning of Large Language Models without Retraining L o RAP rune: Structured pruning meets low-rank parameter-efficient fine-tuning

Reference 57

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Observation 21177c80-166f-4061-a6a9-b8de78d6ba74 · outbound

This paper cites Apt: Adaptive pruning and tuning pretrained language models for efficient training and inference.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Apt: Adaptive pruning and tuning pretrained language models for efficient training and inference

Reference 58

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Observation d6b020db-d73b-406f-8cd1-5e423e8868b4 · outbound

This paper cites A Survey of Large Language Models.

Olica: Efficient Structured Pruning of Large Language Models without Retraining A Survey of Large Language Models

Reference 59

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Observation 052e4309-de4b-4ecf-bcd7-a830a7c20aaf · outbound

This paper cites Aligning books and movies: Towards story-like visual explanations by watching movies and reading books.

Olica: Efficient Structured Pruning of Large Language Models without Retraining Aligning books and movies: Towards story-like visual explanations by watching movies and reading books

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:39.507237Z

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Observation 2c267c6f-044c-40ea-a54a-8185856f4b77 · outbound

This paper cites write newline.

Olica: Efficient Structured Pruning of Large Language Models without Retraining write newline

Reference 61

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