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Paper Citation Record · LEDGER

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges

As of 13 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 0 inbound Pith citation observations for arXiv:2412.03220.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.03220 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:41:16.681006Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 299 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 82611677-ae5e-436f-b1aa-438dcd5f982e · outbound

This paper cites V aswani, N.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges V aswani, N

Reference 1

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Observation 43ea0d31-a3b9-4072-9b65-deae0d35c044 · outbound

This paper cites Radford, K.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Radford, K

Reference 2

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Observation b2d2ff06-58c2-4f13-8497-59922c64ba4b · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

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Observation ea10a133-79cb-49cf-87d7-a5a2c1a4f68a · outbound

This paper cites PanGu-$\alpha$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges PanGu-$\alpha$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

Reference 4

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Observation 785180cf-d561-41d9-a1dd-051adb4e1950 · outbound

This paper cites PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 5

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Observation 45a56854-f1ee-4663-9cd4-9fe50f49e244 · outbound

This paper cites Graves and A.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Graves and A

Reference 6

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Observation beec97a6-b5b1-4251-8163-1b42705b0516 · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 7

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Observation 3ea41689-74ee-46e8-8825-400a384a8d00 · outbound

This paper cites ERNIE: Enhanced Language Representation with Informative Entities.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges ERNIE: Enhanced Language Representation with Informative Entities

Reference 8

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Observation 9b4bc44d-42e1-46ef-a64b-154aa3eccc72 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 9

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Observation 99099306-cb37-49bd-848e-36068b8c5514 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 10

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Observation 63994313-858f-4e82-9fa3-ea3eacf55217 · outbound

This paper cites Raffel, N.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Raffel, N

Reference 11

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Observation 660fb039-eeaa-4248-bb64-82eb8c5e0c1b · outbound

This paper cites GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 12

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Observation 3b3bf56c-dfb7-4c16-b88a-44762cdc999e · outbound

This paper cites Auto-Encoding Variational Bayes.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Auto-Encoding Variational Bayes

Reference 13

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Observation 0e41000f-db14-499d-8dc0-56e9af14a393 · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 14

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Observation f85d7e6b-f2f5-4dce-928c-8424acba7147 · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 15

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Observation 2896e017-ae70-41e1-9447-ebebd127b13d · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 16

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Observation d3b15ef5-dea0-4bf9-8c95-664d56f8ca0a · outbound

This paper cites Radford, L.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Radford, L

Reference 17

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Observation 630bcbc0-0218-4c70-97d2-244c5e9d2920 · outbound

This paper cites Conditional Generative Adversarial Nets.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Conditional Generative Adversarial Nets

Reference 18

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Observation c2df0cdc-0b73-4b14-9323-f10b16ec2019 · outbound

This paper cites Wasserstein GAN.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Wasserstein GAN

Reference 19

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Observation e0270453-fb20-49b2-b7a4-69f4a3fd17bf · outbound

This paper cites Gulrajani, F.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Gulrajani, F

Reference 20

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Observation 39a5fa45-b4ba-4d99-bb91-21e8a974ab59 · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

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Observation b0692ddb-1d52-400e-9fc6-5869f70f3fbd · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 22

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Observation cc5a096a-1c3f-4961-a8bb-288705d9aa77 · outbound

This paper cites Karras, S.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Karras, S

Reference 23

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Observation 5bd0b2ca-f6fd-41e8-a770-9dbab1936d58 · outbound

This paper cites Zhang, I.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Zhang, I

Reference 24

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Observation 7a3db675-eef9-4d9b-a15e-c8331eab7966 · outbound

This paper cites Brock, J.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Brock, J

Reference 25

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Observation 389d6f84-5d39-4922-b9d3-bd96cf8367d0 · outbound

This paper cites Karras, T.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Karras, T

Reference 26

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Observation c0c74810-f18b-4e4e-8348-09529137e5e7 · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

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Observation cecc579d-fbd1-49f3-84e4-dac0751183ed · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

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Observation 6eb8058d-3ce2-4580-9cf8-7575eeaa4beb · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 29

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Observation 034b2214-39b0-4ad1-b00b-7a18157124c1 · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Creswell, T

Reference 30

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Observation 5b62a655-9e91-4f45-a9bd-e53ffa61f0f4 · outbound

This paper cites Bias and Fairness in Large Language Models: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Bias and Fairness in Large Language Models: A Survey

Reference 31

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Observation d945bd22-8c68-447c-8a5a-bb1a1f036d76 · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Continual Learning of Large Language Models: A Comprehensive Survey

Reference 32

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Observation 31fc77eb-a1cc-426d-8a23-49dcc4162fa7 · outbound

This paper cites A Survey on Efficient Inference for Large Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on Efficient Inference for Large Language Models

Reference 33

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Observation d6db71df-c293-411f-a2e9-7beda3ae84e4 · outbound

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 34

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Observation 724fe2e1-587a-4765-a1d6-789ba37618ea · outbound

This paper cites Security and Privacy Challenges of Large Language Models: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Security and Privacy Challenges of Large Language Models: A Survey

Reference 35

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Observation 0974a574-cc52-4b13-a953-84ab8c59dd33 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 36

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Observation aee479cc-df80-4ae9-b7a1-071c7fafa703 · outbound

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on Large Language Models for Recommendation

Reference 37

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Observation 1eb92f68-c294-476d-9b6c-34e876e79e0a · outbound

This paper cites Evolutionary Large Language Models for Hardware Security: A Comparative Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Evolutionary Large Language Models for Hardware Security: A Comparative Survey

Reference 38

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Observation c883a0dd-0216-4117-9b13-51557488ce14 · outbound

This paper cites A Survey of Multimodal Large Language Model from A Data-centric Perspective.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey of Multimodal Large Language Model from A Data-centric Perspective

Reference 39

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Observation 0cefb2fc-e9cc-4b33-8bb7-133ebc5a3dc1 · outbound

This paper cites A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine

Reference 40

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source=pdf_text observed=2026-08-11T22:41:14.590275Z digest=sha256:c1b7ad2e9baffcad6d1a9eb303f59dbd7b82316ba4bac91934552710e79306fb

Observation 75dc30b6-818b-482d-a0a7-73089081f7d4 · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Reference 41

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source=pdf_text observed=2026-08-11T22:41:14.594639Z digest=sha256:dc92788028f1e7b1a7d69f9bcb15e40a8e831fac3e0d611e0d14957eebafb439

Observation e638447b-cd3d-4beb-b3a1-b9def98e536c · outbound

This paper cites A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry

Reference 42

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Observation 460b2754-3430-4ff0-bd86-fa64385ab668 · outbound

This paper cites Tool Learning with Large Language Models: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Tool Learning with Large Language Models: A Survey

Reference 43

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source=pdf_text observed=2026-08-11T22:41:14.606247Z digest=sha256:6c82af020526de295afcde5db63f2ee4fcb81c2be2bd89b3f61fd4472b58b91b

Observation edb33011-29a2-415c-9eee-5e4335c19aa1 · outbound

This paper cites Large Language Models Meet NLP: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Large Language Models Meet NLP: A Survey

Reference 44

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source=pdf_text observed=2026-08-11T22:41:14.635156Z digest=sha256:70482cd343f82b8f9f1da9dd0ea80bdc7f0ce291192ffaf0ba8499f3bb505aaa

Observation 579a6357-7262-4508-b0ed-5939fd1e1c19 · outbound

This paper cites Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Reference 45

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source=pdf_text observed=2026-08-11T22:41:14.674740Z digest=sha256:54290fbc752898ede443ae42896ab0aa4e18b69f24fc66f8d9cec8b57326c1c1

Observation e55d65d3-270b-4d54-8e7f-6c571e9316eb · outbound

This paper cites Kukreja, T.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Kukreja, T

Reference 46

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source=pdf_text observed=2026-08-11T22:41:14.724749Z digest=sha256:9791ed1e4b7e8e850368c25f8cbb30e19599edd2c8c3e9fedfbc6a13abc7c0da

Observation 863bc4ed-d05c-4429-9d07-57ab6a0035c9 · outbound

This paper cites Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Reference 47

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source=pdf_text observed=2026-08-11T22:41:14.774825Z digest=sha256:6afd2c4e610a8b2161ea497ada9cf86421cf124cbe4fbd1e4bc323710acf43e1

Observation 1b096fbc-c65c-4343-8040-bfec3a2eef95 · outbound

This paper cites Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Reference 48

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source=pdf_text observed=2026-08-11T22:41:14.824752Z digest=sha256:669b555bd79fecd86420dfa4ccaa5ea8bdefd4b0a2a3dbb4729aab4958c5edfe

Observation e9d26b44-ab36-48fa-822f-5968a4bd48b9 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on Multimodal Large Language Models

Reference 49

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source=pdf_text observed=2026-08-11T22:41:14.874745Z digest=sha256:adb5f04d409d66e0443868a19599af47bbbb63cd84dde12aecf9198a919ee892

Observation 64ed5af9-8f63-4bce-a8ed-faf5267955d7 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 50

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source=pdf_text observed=2026-08-11T22:41:14.914745Z digest=sha256:6a1b2b999669fec21703ed7d074db0400d23c8cd45c0c94f2bd8033afb8e68cf

Observation 43f602a8-4800-4c2d-8af6-5a55cf5dcfba · outbound

This paper cites A Survey on Large Language Model-Based Game Agents.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on Large Language Model-Based Game Agents

Reference 51

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source=pdf_text observed=2026-08-11T22:41:14.964744Z digest=sha256:f72d37247289d7d65ff7b2dcb5a599f148e731feea970c9afd246a9b6005cb49

Observation aa9547f7-a026-404b-9fab-c124a91e0759 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Hallucination of Multimodal Large Language Models: A Survey

Reference 52

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source=pdf_text observed=2026-08-11T22:41:15.014745Z digest=sha256:b4b320ce4a2383be4d30a8469dba87e1c98fc2b61df1ee76c30eee9cc49966ed

Observation 037f8e6f-bcc6-479b-8f5d-da5d8d6c0faf · outbound

This paper cites A Survey on Retrieval-Augmented Text Generation for Large Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on Retrieval-Augmented Text Generation for Large Language Models

Reference 53

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source=pdf_text observed=2026-08-11T22:41:15.054746Z digest=sha256:de5720700657fb3958986524b8a76fa70c921a6a2fa490f23ef9eb28bec8dd0b

Observation e3e3287d-fa30-4525-b692-d25fffbf3da7 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-11T22:41:15.095938Z digest=sha256:f7658f707d17d45d8c032e04c15a63fad4bb337e7ec39bb3534a51147850d9d7

Observation 87bdff43-1290-4a18-92f9-803331f1d049 · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 55

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source=pdf_text observed=2026-08-11T22:41:15.144746Z digest=sha256:5a58b397e4c0ee6176cc13bceb790b30ea405655d51352cb7ba6a1af3a33a2a4

Observation f794ce7d-b28e-4206-981c-695466e0df31 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-11T22:41:15.193425Z digest=sha256:1c01873c62fce6784fefb339447a19a070e9559324e8e3c8668b6467c02fc8b7

Observation 2c7e704d-cdb1-475a-b9c1-44061ce33790 · outbound

This paper cites Chang, X.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Chang, X

Reference 57

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source=pdf_text observed=2026-08-11T22:41:15.234819Z digest=sha256:59974b16540754017536b1886c8b603876dd6d1fd4db2e02c5c48fcd8844fa7e

Observation a19ad175-8681-47b6-8b8b-287325f74473 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 58

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source=pdf_text observed=2026-08-11T22:41:15.264745Z digest=sha256:aa8fc267bdf2ead53316cecd2589e891a97c823d1b0f4f9526b78966092919e4

Observation dc0edaa1-11b1-443b-8435-0d87662b1b3d · outbound

This paper cites Zhang, L.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Zhang, L

Reference 59

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source=pdf_text observed=2026-08-11T22:41:15.316149Z digest=sha256:85bbd37897d57ba4e7e0c70f349f4e816e2a07237a3c33b07083b015c4fe1fa7

Observation ac9af0bd-0cbd-4429-8d80-afebba180588 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-11T22:41:15.364751Z digest=sha256:7536b1a738c3e638495a379ba83d22feec2efb154193b49ad70e26dea7ef0eed

Observation 2705337f-f043-49da-ae83-88da001d3f9e · outbound

This paper cites On Protecting the Data Privacy of Large Language Models (LLMs): A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 61

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source=pdf_text observed=2026-08-11T22:41:15.424747Z digest=sha256:4b256a20d8b9652b8b51ba800e9bf185a8fa628c00990c98bfa77b93e3e6b6a7

Observation e361eef6-ebf3-4e4b-b2f3-f2944eba3770 · outbound

This paper cites Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Reference 62

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source=pdf_text observed=2026-08-11T22:41:15.474746Z digest=sha256:b331cec16decb8382fca22e5bfc358b58a3eced25ababbd7d57d5570978a6cc9

Observation fa2d271b-7d3e-4450-b6f3-4ea87f91180f · outbound

This paper cites Large Language Models and Causal Inference in Collaboration: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Large Language Models and Causal Inference in Collaboration: A Survey

Reference 63

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source=pdf_text observed=2026-08-11T22:41:15.524927Z digest=sha256:b9bc4f64c4a801a12be73f28b1cb66855d4d789f25f2ff339b4b4b5944d13691

Observation d2fcd1c0-4f7c-4b9a-a6b5-0ca6d394a36b · outbound

This paper cites Esmradi, D.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Esmradi, D

Reference 64

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source=pdf_text observed=2026-08-11T22:41:15.574737Z digest=sha256:cf49077801ce9854d446e042b59894a7c0afc5c61ed0b693de56ae50205a5114

Observation 1cb29da8-099c-48e0-a0a1-cb2a643a3f97 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-11T22:41:15.614892Z digest=sha256:1b76180031d500aaddcef23b6324b13b4a55e56322964cb78ed72a4253efb495

Observation 4c064255-8a07-4034-92bd-1a1827bac0c9 · outbound

This paper cites A Short Survey of Viewing Large Language Models in Legal Aspect.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Short Survey of Viewing Large Language Models in Legal Aspect

Reference 66

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source=pdf_text observed=2026-08-11T22:41:15.655796Z digest=sha256:0d077fd1e15f435c6fbccbc7e2f11b1c1a354376bde628886d78c9819c846c80

Observation 20b011b1-5dd7-49be-b612-5e5d6fd24875 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 67

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source=pdf_text observed=2026-08-11T22:41:15.694733Z digest=sha256:006cbc940ac3d27cd14f43ff793680737d721a674d99e9163afe694407d21336

Observation 99119285-170e-4c1d-88eb-08859e1d5815 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-11T22:41:15.744742Z digest=sha256:24b6f146acd5ab8b2bd006a7632a55a2c0c2003061d3b154e41a93de1361277b

Observation 6dadc31c-c90f-409c-8059-92e570f396f2 · outbound

This paper cites A Cross-Language Investigation into Jailbreak Attacks in Large Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Cross-Language Investigation into Jailbreak Attacks in Large Language Models

Reference 69

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source=pdf_text observed=2026-08-11T22:41:15.794741Z digest=sha256:139cfb0da71851956f22893078907834e7eea2e44686358d6edc3857db68d82a

Observation 191fc505-7715-4e55-a1f0-09fe7e69f831 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 70

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source=pdf_text observed=2026-08-11T22:41:15.834839Z digest=sha256:4942792455dd63ca4ff4ce39c4f11c33d42a7477ed5b4fdf0a91bd36ed49a98d

Observation 5fd2d318-4117-4ba3-8955-dd53254813b0 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 71

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source=pdf_text observed=2026-08-11T22:41:15.864583Z digest=sha256:b83dea0baaf315200c5673d012e4f4480456e8ba58ebf86d0a8dca8a11c83e0b

Observation abe44304-5351-4a34-8d76-63fee4073b07 · outbound

This paper cites Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 72

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source=pdf_text observed=2026-08-11T22:41:15.914751Z digest=sha256:a9ac20800774daf97f68c9c501faa31e35ff27822298ffce6d4337f76b1455ba

Observation 05ba6c55-8832-47b0-a5ff-faee2c3304e4 · outbound

This paper cites Zhang, H.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Zhang, H

Reference 73

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source=pdf_text observed=2026-08-11T22:41:15.965401Z digest=sha256:176ceb55b260bc569ebc51cc2f368a6f5380405eb455644099a0661ba428bfb6

Observation dd7e8289-44f3-42fa-90bb-7ebb5ddce20f · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-11T22:41:16.005506Z digest=sha256:00bebd9cfc2bb2e97cf5a5df2a3960762f93568d21d7cf75953f808c0c566cd7

Observation 33653165-f121-4212-9a00-869967d74eb0 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 75

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source=pdf_text observed=2026-08-11T22:41:16.054823Z digest=sha256:78f02d318f732e08b06f6c9d15b104e7d0ff918dc2bb65a26a5d4dedf62ab238

Observation b4d59a57-c4c1-485d-9f12-a06f45e2ba99 · outbound

This paper cites A Survey on Model Compression for Large Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey on Model Compression for Large Language Models

Reference 76

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source=pdf_text observed=2026-08-11T22:41:16.084747Z digest=sha256:edce91006120759a32d2d4dac0d4fc903aab8854341b3d56dcd0d606757db17f

Observation f4f921ca-48d9-4c02-bbaa-9a88d19fab9d · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-11T22:41:16.122350Z digest=sha256:2006f7b2de220a508be61deec05b79c23ea3b01b4f2a4f3f87d06250a2ed3fe1

Observation abe42053-0a7c-4ec0-ba0d-6b2bcff4c689 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 78

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Observation 9dc52745-a088-4959-a298-77e8fb2851ae · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Towards Reasoning in Large Language Models: A Survey

Reference 79

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source=pdf_text observed=2026-08-11T22:41:16.194745Z digest=sha256:6fca112090aad215e470af43ca2f8c058169348f1072a267b100b0cf12a27a77

Observation ab47a09b-ffe1-4490-a8d3-c47be1317bbe · outbound

This paper cites Kasneci, K.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Kasneci, K

Reference 80

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source=pdf_text observed=2026-08-11T22:41:16.206532Z digest=sha256:8949c874c9344e301b1561dcdfa8542e02f6db99de5a349ef94d30521d7b6d37

Observation f5588410-6792-4c2a-be41-5526930efce6 · outbound

This paper cites A Survey of Large Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges A Survey of Large Language Models

Reference 81

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source=pdf_text observed=2026-08-11T22:41:16.213831Z digest=sha256:f5e962924759f1e026a1673aa343a806b0905470610364927813019a4a1febf0

Observation d12345bc-dcef-4d67-a2d7-6654e0c0de12 · outbound

This paper cites Augmented Language Models: a Survey.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Augmented Language Models: a Survey

Reference 82

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source=pdf_text observed=2026-08-11T22:41:16.232176Z digest=sha256:d634c22bb8f11b68d65a576709eee96ed4d3172006ed88696a8dc3e49eb45d2d

Observation 6b3aa84c-15ec-46a4-a165-78190aa69561 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 83

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source=pdf_text observed=2026-08-11T22:41:16.250430Z digest=sha256:65611dd2346bd00eef6f76a7a9995ba33a9c73eb3f408ee682c10be57e38cce5

Observation 09fd1a7a-03b5-4a91-b73a-35df04ebdd5a · outbound

This paper cites AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Reference 84

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source=pdf_text observed=2026-08-11T22:41:16.258290Z digest=sha256:48cff6761409ad8cadfe534a76f63806916fcbbac5b0dcddd886624971c70ec6

Observation ac054396-6170-4c4c-82ab-04d2055111d9 · outbound

This paper cites an unresolved cited work.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Unresolved cited work

Reference 85

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source=pdf_text observed=2026-08-11T22:41:16.274751Z digest=sha256:f8965f89dfdd8b2c6c29ce0063dcc8808c724fc2bac6cc837a0c2777b636561c

Observation 9c039228-d497-45a1-9c32-d9ddf0504227 · outbound

This paper cites Houlsby, A.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Houlsby, A

Reference 86

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source=pdf_text observed=2026-08-11T22:41:16.324731Z digest=sha256:7bd75836010add2a4da7ae870322b13a9e3be4ce5817238e0e949ccb89362545

Observation 14852458-c03e-4c7e-ac72-5d804c625d8c · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 87

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source=pdf_text observed=2026-08-11T22:41:16.374738Z digest=sha256:1a9d407d2ef685ed5b77e4c61f790121f5e123732dc699373b7602a10eace29f

Observation ba337ff2-8ee6-4a83-9ed4-f84e8b50637d · outbound

This paper cites Counter-Interference Adapter for Multilingual Machine Translation.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Counter-Interference Adapter for Multilingual Machine Translation

Reference 88

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source=pdf_text observed=2026-08-11T22:41:16.415363Z digest=sha256:0d84b30f80bcec857d628e697f8d557e649383b64f8cff300364e34be7ccf4df

Observation 34a495c4-b219-4dcf-b47b-bf9f681490d0 · outbound

This paper cites Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference

Reference 89

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source=pdf_text observed=2026-08-11T22:41:16.457033Z digest=sha256:67d2dad54a948539c7e2c2b3854249af50b3f1924ab8d896c01de35b84ae68c7

Observation 4146b7c1-5000-4f5c-a439-2159422a874e · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 90

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source=pdf_text observed=2026-08-11T22:41:16.462542Z digest=sha256:7848ed043c62fdbf9d9fdf3ac06ba85178e137d9fed0d8a0d57f1fa11410ca05

Observation 974e048c-665b-4ab3-ab8f-79e91617b58c · outbound

This paper cites AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 91

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source=pdf_text observed=2026-08-11T22:41:16.467494Z digest=sha256:355732a87c89332ecae060bc4cdf0eeef56da00b9978804b08cf24a7c64daf00

Observation eacfd047-015a-494b-aa2e-c9f059ce2dc7 · outbound

This paper cites Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning

Reference 92

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source=pdf_text observed=2026-08-11T22:41:16.473853Z digest=sha256:58a76d60b588c8aba78ded61a574945e664261530a36eaf080a6ce7b152166c5

Observation 813512e1-cfec-4f35-9daf-e5d650e76c64 · outbound

This paper cites AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Reference 93

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source=pdf_text observed=2026-08-11T22:41:16.479105Z digest=sha256:60e3628a8a1a4ee902dfdbbc05f04e53984cafdc8bb1da226621543bab53644a

Observation 0bdc982a-e757-470b-b333-b8ea50432b9e · outbound

This paper cites MerA: Merging Pretrained Adapters For Few-Shot Learning.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges MerA: Merging Pretrained Adapters For Few-Shot Learning

Reference 94

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source=pdf_text observed=2026-08-11T22:41:16.499358Z digest=sha256:c1b94d8f826f1982f245fc3f83718ae0f8b032b064b77dc2954ba4ae2d6dc852

Observation dce691b8-f18f-4294-b7e6-b9f7fa9d4771 · outbound

This paper cites Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

Reference 95

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source=pdf_text observed=2026-08-11T22:41:16.521964Z digest=sha256:de41ba619e226c14293d7fc99705bd119adb06bfba23ce06933989dcca0a7b4a

Observation b67e66eb-8e30-46b8-be79-95256142c204 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 96

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source=pdf_text observed=2026-08-11T22:41:16.554754Z digest=sha256:ce9515affc1ea0e580480b1092662fe918c26927cc5b24996c3ed3ba59d19e99

Observation a2aa64af-2cac-4ca4-966f-58d0ac4201c8 · outbound

This paper cites Prefix Propagation: Parameter-Efficient Tuning for Long Sequences.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Prefix Propagation: Parameter-Efficient Tuning for Long Sequences

Reference 97

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source=pdf_text observed=2026-08-11T22:41:16.590001Z digest=sha256:a7274b7182b6a3ab96bd19dd1e8f1154af92a15af8d301b608d5fa509ff21a17

Observation 54cb2d41-b1e8-4cfd-b900-b284415c9fed · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 98

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source=pdf_text observed=2026-08-11T22:41:16.599307Z digest=sha256:f3b0a00fc1cc56bf75ab49881a99f4bf26551f25dd9d5b64e302a800a6f57140

Observation c29b0258-87af-44c8-a039-369587852d2b · outbound

This paper cites Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning

Reference 99

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source=pdf_text observed=2026-08-11T22:41:16.654757Z digest=sha256:0c4d99a41b5c499bfbfb5d9c3f869fc89a79b05b3ba792702fd22244e34ce551

Observation f01d68d0-c585-41fb-a770-58a43cec40ea · outbound

This paper cites GPT Understands, Too.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges GPT Understands, Too

Reference 100

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source=pdf_text observed=2026-08-11T22:41:16.681006Z digest=sha256:f940e139c3bdad3e79872f085a541caf260b3825816dce68b3d87195ac229fbe

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