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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
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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

This paper cites an unresolved cited work.

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

Reference 21

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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

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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

Reference 28

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

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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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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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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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source=pdf_text observed=2026-08-11T22:41:14.602344Z digest=sha256:e31b2a7e45931b5a20126fcb216758ead778a05967f4112b3e230a8ca6afa34d

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=sha256:2dc109d55621b9d2dbec10342ce123af145c8ed307ab2aa57686e23579260daa

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=sha256:40a310df6c10880a8ac0b27241f536558f2b3f56be930f13ff0433ceaf95814c

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=sha256:2e4fea9d79439c9bfff58cb172a71c084e6720562e8fdd9d486771b56047502b

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=sha256:10701809a67b389ad8c9db7e3c9ab7751ada606fa92befa375dfa9ca967eacbc

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=sha256:5d514d152de56be3656c279efdadca5e51c9986883105ef276898295919ff5d4

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=sha256:48ed29bcc58e82eeaf4a0178b029e7fb9bc9218ca84caf5482b06218a8a03331

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=sha256:8d3c8d1bcd0d5e3fe1c16983e828106e20eb18f43220a94ad52f989d9566b138

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:d6e54aa47940f2032eb519530828034e1bb50408bd9de61ef1a9eeb3c3e6233d

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:a433891311cacce9640820b32dd2ab8759729525b1f6bcb960c072ceef7053ce

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=sha256:3720c846b3d78a2beb58d7eb66c65bb1eaf368799b6c0daa3a6696354592d788

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:b30bb4ce4994110b9ad6496868468309f5963efd280c79554d9aae7aefd1d2da

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:f09a35f09e6e29030a460bdbaa09b3c39c4bb35051ae9d932367b67e57a61997

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=sha256:87cc4e390e3235f61280a04452366a6dea3edd454960b718bf68f93676bfc556

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=sha256:03ccb83b1a229115ff274b4e8695fe162e172c08b584fa3c67083b37eb657280

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:c4f2379306ffcb1930746d430e983b7f6111c9d22811fbd14d7dd00d477f51ca

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=sha256:7008aeb3eee0ff0761ae7f15934046bb9392eedce95f804961ff1b74a3371955

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=sha256:383530698084de86d9bac8caa5caa2c6f19fddc3f24c332f293ab78faefc11f2

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=sha256:3e20f699e12f58a129ff02eb5afb6e4651d55a10be676d1566d21ce16143ac1d

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:b911e6fac420a3b6a586ff7eca2bcb57ac9a2d3a73a21206df1ae0b23ead7289

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=sha256:45c91df9bbf56033153eabe16262536a23ce013f87d09cde547e3cf44ed92f90

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:c73a6a5d79d8f295894a7fb14d33f8b07cd8abecb4e92ab567aee45138988082

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:ea2ebd706b462adbdc88b3646f374a2e50fab57aab573b55f2218f08f3d19bcd

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=sha256:28ad7a88e06e3ee84dacc9363820492cbe8b6271e337051b79143aff30fee0cf

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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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:d15a8142c1940fbba925dc2774bc329afae39d23cd76b9bdaabe8674987e5f8c

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=sha256:8ffdff2d110dc6a232ceda8e631ac9d5492ed452df2714e8779e34100b021816

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=sha256:03531019b40e4775a78a5dbd98a1567de8860902e4e722fd373dee1a874c94b9

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=sha256:7a6ae1427dfe8f0481542ca4bc26be395a26fb75d2f0dbb3ceae3b27156b0b10

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:bd98131b4ffef7b11606de3a50c1d76be2227bb1c805f0caf24c53d888f184ff

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:ba0452311c075ea459e2183f1c54ca67ca64e89904c703c24ccb23768dc6b1dd

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=sha256:997ec702dbd814d42096148506f7fbe7b282166aa7ab9061d391debf7859e005

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=sha256:5a6dc964002c09d8379adfce0bb113eda2efcb4a7a5ca591529aa7727660308b

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:bb13a3399d579c26372991e8d1addbc4b27ee3e0e05a2388889fabee40c46c4c

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=sha256:9e50f1073a647940a8de517ebc7f40b7a77349e41076f560ebc953b4711cdcd1

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=sha256:68a0b623d14f181c1c264fe2f8dee8cc11e600ac1304a065ef58963a676d5b5e

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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source=pdf_text observed=2026-08-11T22:41:16.156378Z digest=sha256:a4e812101597d541ac92d52d65a242d97a820982afec830f82ed379ca9ad5052

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:e7d9101f88a00f8660ebd650802a77f279afe332b3b4832e80e6f172c9e17d00

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=sha256:1e7e6c7dd2699eb7043801d238037c0c0e41bcc44ccc4d6438f2ba3b18ed9415

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=sha256:58c1092158e8e7ff887de5542fa09aea4cbf2d45bbc74cfa5ccb7c913a687dcc

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=sha256:7a40de3a0e061be4445f106ceec9784d643b0bd2c87eb9feda9d6092a88b47cc

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:b533e3aaeb194b510dbda9a069901f4cbacb1c0c762a1cf779d09609883d7c63

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=sha256:6c650ac4a2d834892d8082f20c89abafe8eb022ebb22f4e98601ada470020880

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:d67f1f989efe92183090099f14634da8d9c461fb5736b53b86011539573ea507

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=sha256:1748a4b274cb9ed3f1ed80e7f661a056d7cff54d2bbcb54cc31b6db60f59d258

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:d558bb7bd419edcee90d3805e13277ded9e3e5acfb44699d8e52ef4539ae8b59

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=sha256:50e937abbd902816991cb1e142e8adeeb6bcf1de3ec75c88d7356cab7e16388a

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=sha256:4615c31f572f657f3472095c871a4f62a0919eb03e01bcfb714da13552cb0939

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:a2e66ecac129ccc6d1e726cf7089cb75937499af19eaeff84e7d4c9a24eb5165

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=sha256:1a88a2fa4336ed24260c5ac7673640116cecd881649cef9cde0c8537effa8948

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=sha256:7e5862e552c143f9fe692038f995dafb5aed016a174417fdb1ca73bba691f935

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=sha256:5203efbeb944424e6684521742a1d17514a427805482c8d54c55dc58db7ef35f

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=sha256:8297ab54fda0e62e0b17472501e003cac9eda6d4cd93383c589486148a0086d1

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=sha256:74cc0dde92657b1cbaac20e04c80f5b5cb18d8bd517681be6856809f0d5ddc9a

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=sha256:30ab3376a9bbba12a953cc02b0f3b6c0727db5c0f75bcab6e8edc8ab9b60dea5

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:bddeb9febe6f1560ca23ec42a150bd5d942e2e2d1169ac75908bbc1eddb70bdc

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=sha256:79312e2e51e0736f355bd7ec1244e60df9820d4390adec8baeee7112640bebae

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=sha256:3602f963851005f3433c503ade83bcc66f5a7fbcd5e527a222033e77af38b5d1

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:eddab07eb2688a445cb9ecf77f57b216fd6ff63b7f9a35849c33d3b153389d31

Pith citing papers

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