A Primer on Large Language Models and their Limitations | Paper Citation Record

Observation 38fec29e-1180-4a66-ab58-95e12d55040c · outbound

This paper cites Macmillan.

A Primer on Large Language Models and their Limitations Macmillan

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.989712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad587170-51d0-42ac-883b-5b2628fef3ec · outbound

This paper cites an unresolved cited work.

A Primer on Large Language Models and their Limitations Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:52:47.981571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f81c67e1-8bfa-450e-bbef-1464bb07c9f8 · outbound

This paper cites Technical Report, University of Oxford.

A Primer on Large Language Models and their Limitations Technical Report, University of Oxford

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.973464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6608959-4a52-4fb7-b7b2-24f0fc8a960c · outbound

This paper cites A Cookbook of Self-Supervised Learning.

A Primer on Large Language Models and their Limitations A Cookbook of Self-Supervised Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.633119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24dfc99b-a06b-4e7a-b91a-e5a058e1ce3c · outbound

This paper cites Available at https://www.deeplearning.ai/courses/ generative-ai-with-llms/.

A Primer on Large Language Models and their Limitations Available at https://www.deeplearning.ai/courses/ generative-ai-with-llms/

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.965146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc6dc008-cb24-4c8f-8104-0ccf3999b4a2 · outbound

This paper cites (2017): Tfx: A tensorflow-based production- scale machine learning platform.

A Primer on Large Language Models and their Limitations (2017): Tfx: A tensorflow-based production- scale machine learning platform

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.956701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3805fef6-b61b-470e-bccf-fe53a653d0cf · outbound

This paper cites Nature 619(7971), pp.

A Primer on Large Language Models and their Limitations Nature 619(7971), pp

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T23:52:47.068750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a92f7d3-4758-4ed2-b60f-2600c6c442b4 · outbound

This paper cites Technical Report, Messari.

A Primer on Large Language Models and their Limitations Technical Report, Messari

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.948599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20b6bf39-086e-4223-bab1-408246ec5b15 · outbound

This paper cites Language Models are Few-Shot Learners.

A Primer on Large Language Models and their Limitations Language Models are Few-Shot Learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.647765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4006a825-8269-47ed-8717-30f05c5020b4 · outbound

This paper cites In Tung-Hung Su & Jia-Horng Kao, editors: Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases , Academic Press, pp.

A Primer on Large Language Models and their Limitations In Tung-Hung Su & Jia-Horng Kao, editors: Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases , Academic Press, pp

Reference 10

Resolution: verified exact; doi, observed 2026-08-11T23:52:47.059464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd3b87be-529d-4af4-bd25-98fb55732423 · outbound

This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.

A Primer on Large Language Models and their Limitations ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.652890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd3846d-0b43-4c89-a8b3-d891d52a0c74 · outbound

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

A Primer on Large Language Models and their Limitations BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.655722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19d06ca-4075-4528-9315-a1721ac834cf · outbound

This paper cites Science 384(6702), pp.

A Primer on Large Language Models and their Limitations Science 384(6702), pp

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.658912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aff7a55-36ba-4a5b-8f0f-7bc4d78fc7c7 · outbound

This paper cites TechCrunch.

A Primer on Large Language Models and their Limitations TechCrunch

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.940240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e650990d-a73a-443a-a33a-fb583fcf7ce3 · outbound

This paper cites Princeton University Press, Princeton.

A Primer on Large Language Models and their Limitations Princeton University Press, Princeton

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.931800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53da346b-3291-4d3a-a8cf-e4c680000098 · outbound

This paper cites Cureus 15(9), doi:https://doi.org/10.7759/cureus.45473.

A Primer on Large Language Models and their Limitations Cureus 15(9), doi:https://doi.org/10.7759/cureus.45473

Reference 16

Resolution: verified exact; doi, observed 2026-08-11T23:52:47.045900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1695950-d521-4200-94eb-9dfa7a59e792 · outbound

This paper cites Computational Linguistics, pp.

A Primer on Large Language Models and their Limitations Computational Linguistics, pp

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.923825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 010d5d88-a6d6-4098-ba78-4cec6860aec4 · outbound

This paper cites In: International conference on machine learning, PMLR, pp.

A Primer on Large Language Models and their Limitations In: International conference on machine learning, PMLR, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.915804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 957c98eb-30a4-4ec6-96a1-bb1a9f9e8509 · outbound

This paper cites Hannigan, Ian P.

A Primer on Large Language Models and their Limitations Hannigan, Ian P

Reference 19

Resolution: verified exact; doi, observed 2026-08-11T23:52:47.036344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e7391e9-f8bc-4a18-b3b1-a28ffb0d0541 · outbound

This paper cites AI 4(2), p.

A Primer on Large Language Models and their Limitations AI 4(2), p

Reference 20

Resolution: verified exact; doi, observed 2026-08-11T23:52:47.027557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5b59d2a-8cb5-4db1-bc21-93ffd17e360c · outbound

This paper cites Ethics and Information Technology 26(2), p.

A Primer on Large Language Models and their Limitations Ethics and Information Technology 26(2), p

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.682373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf33f30c-6508-4130-9060-59eed252d0d7 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

A Primer on Large Language Models and their Limitations Distilling the Knowledge in a Neural Network

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.685249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3e4029-0810-4f01-8c01-939951180041 · outbound

This paper cites International journal of uncertainty, fuzziness, and knowledge-based sys- tems 6(2), pp.

A Primer on Large Language Models and their Limitations International journal of uncertainty, fuzziness, and knowledge-based sys- tems 6(2), pp

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.688317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e9049fa-bfa8-4620-86ef-59440e69943b · outbound

This paper cites Training Compute-Optimal Large Language Models.

A Primer on Large Language Models and their Limitations Training Compute-Optimal Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.691162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada3332a-e711-4a63-aac1-c9e016a15bee · outbound

This paper cites What do we need to build explainable AI systems for the medical domain?.

A Primer on Large Language Models and their Limitations What do we need to build explainable AI systems for the medical domain?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.694478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83fd9783-1b36-43e6-9e21-adffbc981eb2 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

A Primer on Large Language Models and their Limitations Parameter-Efficient Transfer Learning for NLP

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.697557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3f71c3-ecb3-4ac2-9327-223b4364b0bd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

A Primer on Large Language Models and their Limitations LoRA: Low-Rank Adaptation of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.700584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4324ca1-f17f-4133-802a-a8068dbdb49b · outbound

This paper cites Jelinek (1976): Continuous speech recognition by statistical methods.

A Primer on Large Language Models and their Limitations Jelinek (1976): Continuous speech recognition by statistical methods

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.703786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d622e28-5942-4752-8fd8-da58a467facb · outbound

This paper cites Available at https://keras.io/about/.

A Primer on Large Language Models and their Limitations Available at https://keras.io/about/

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.907776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a309d32a-28f6-4501-b50e-6fddd9a2b34d · outbound

This paper cites Proceedings of the National Academy of Sciences 114(13), pp.

A Primer on Large Language Models and their Limitations Proceedings of the National Academy of Sciences 114(13), pp

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.709735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0dc5b37-eab1-4115-ba88-220e288556d2 · outbound

This paper cites Reformer: The Efficient Transformer.

A Primer on Large Language Models and their Limitations Reformer: The Efficient Transformer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.712540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3d0fd5-b33b-42ad-8df3-b290d40540e7 · outbound

This paper cites Evaluating Large Language Models in Theory of Mind Tasks.

A Primer on Large Language Models and their Limitations Evaluating Large Language Models in Theory of Mind Tasks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.715268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24f8bea-c2a6-4e4c-aa73-2881e041863f · outbound

This paper cites Progress in Biophysics and Molecular Biology 190, pp.

A Primer on Large Language Models and their Limitations Progress in Biophysics and Molecular Biology 190, pp

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.718828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3f20c4-7b98-453d-816b-d2dc725dffe0 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

A Primer on Large Language Models and their Limitations BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.721132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2bf013-9a1c-49dc-8f16-d471d48ee196 · outbound

This paper cites Revisiting Catastrophic Forgetting in Large Language Model Tuning.

A Primer on Large Language Models and their Limitations Revisiting Catastrophic Forgetting in Large Language Model Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.723709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87cf7dc8-791a-4691-a702-e6ac858dc22c · outbound

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

A Primer on Large Language Models and their Limitations Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.727145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c17eb0d7-d307-4a87-bbd0-067f9fe8c240 · outbound

This paper cites Advances in neural information processing systems 31.

A Primer on Large Language Models and their Limitations Advances in neural information processing systems 31

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.899399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba534501-e48a-4f66-a669-c15617b68837 · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

A Primer on Large Language Models and their Limitations Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.732850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f337f4-d9ba-4c07-b111-a242ed6c0d4e · outbound

This paper cites YODA: Teacher-Student Progressive Learning for Language Models.

A Primer on Large Language Models and their Limitations YODA: Teacher-Student Progressive Learning for Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.736086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2041013e-d81a-4597-a7f7-abac2e830f7b · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

A Primer on Large Language Models and their Limitations An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.739115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002299d7-6ed9-410d-90b9-713a577408d5 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

A Primer on Large Language Models and their Limitations Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.742077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b001d50a-71e6-4055-946c-7f1a80f04104 · outbound

This paper cites Jackson (2024): A Turing test of whether AI chatbots are behaviorally similar to humans.

A Primer on Large Language Models and their Limitations Jackson (2024): A Turing test of whether AI chatbots are behaviorally similar to humans

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.745204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c3504c-0b11-46bd-9564-6bfa2a05fc24 · outbound

This paper cites In: Image Analysis and Processing, ICIAP 2022 Workshops, PT II, Lecture Notes in Computer Science13374, Springer Nature, CHAM, pp.

A Primer on Large Language Models and their Limitations In: Image Analysis and Processing, ICIAP 2022 Workshops, PT II, Lecture Notes in Computer Science13374, Springer Nature, CHAM, pp

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.891096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1410a89-231f-4bee-802d-b51bde537585 · outbound

This paper cites Transactions of the International Society for Music Information Retrieval4, pp.

A Primer on Large Language Models and their Limitations Transactions of the International Society for Music Information Retrieval4, pp

Reference 44

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T23:52:47.882695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d631292-ac67-47ad-a16e-da5f10f342f0 · outbound

This paper cites Exploration of Masked and Causal Language Modelling for Text Generation.

A Primer on Large Language Models and their Limitations Exploration of Masked and Causal Language Modelling for Text Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.753902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7802a5-3c69-46a1-9ace-a6e81ce3856f · outbound

This paper cites In: 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), IEEE, pp.

A Primer on Large Language Models and their Limitations In: 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), IEEE, pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.873265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbf53c73-5618-4016-ab6b-dc0e100dcc84 · outbound

This paper cites In: Proceedings of the 38th ACM International Conference on Supercomputing , ICS ’24, Association for Computing Machinery, New York, NY , USA, pp.

A Primer on Large Language Models and their Limitations In: Proceedings of the 38th ACM International Conference on Supercomputing , ICS ’24, Association for Computing Machinery, New York, NY , USA, pp

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.760241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d63cf03-3c10-466b-839b-e40958f65274 · outbound

This paper cites an unresolved cited work.

A Primer on Large Language Models and their Limitations Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.763119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3716f40-081a-4b52-a2d9-b1cdac3f9352 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

A Primer on Large Language Models and their Limitations A Comprehensive Overview of Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.766259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d13b9a3-d3ca-4b7c-b05e-5dc24844992a · outbound

This paper cites Available at https://www.deeplearning.ai/.

A Primer on Large Language Models and their Limitations Available at https://www.deeplearning.ai/

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.864167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b35573ba-e9e0-478b-889e-f05e91039d0d · outbound

This paper cites MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts.

A Primer on Large Language Models and their Limitations MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.772858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9cfdfa9-c65f-4dbc-8194-dd20637d0040 · outbound

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

A Primer on Large Language Models and their Limitations Training language models to follow instructions with human feedback

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.776127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0be17d-bfdc-4a83-bd27-f03c63da374c · outbound

This paper cites Computers and Electronics in Agri- culture 225, p.

A Primer on Large Language Models and their Limitations Computers and Electronics in Agri- culture 225, p

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.778860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f284808-0dcc-4b39-8040-24e6ad7d669f · outbound

This paper cites The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.

A Primer on Large Language Models and their Limitations The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.781203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ec511c-034b-4a7f-aa64-5d12cb93d830 · outbound

This paper cites In: EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, pp.

A Primer on Large Language Models and their Limitations In: EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, pp

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.855138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3e574ab-390e-485f-a3de-e2f56de4ac2a · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

A Primer on Large Language Models and their Limitations Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.786035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86006878-2708-4138-9dd5-8cc793862ed9 · outbound

This paper cites Experience Replay for Continual Learning.

A Primer on Large Language Models and their Limitations Experience Replay for Continual Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.788739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20138761-6272-4cd1-9781-b9ff92a39e91 · outbound

This paper cites Progress in Artificial Intelligence 9(4), pp.

A Primer on Large Language Models and their Limitations Progress in Artificial Intelligence 9(4), pp

Reference 58

Resolution: verified exact; doi, observed 2026-08-11T23:52:46.933829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e01edbf-80fa-494d-9713-c83978d7f012 · outbound

This paper cites Progressive Neural Networks.

A Primer on Large Language Models and their Limitations Progressive Neural Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.794753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217690b4-b4f6-48ca-9532-2fa354f11522 · outbound

This paper cites In: 2024 IEEE Conference on Artificial In- telligence (CAI), IEEE, Singapore, Singapore, pp.

A Primer on Large Language Models and their Limitations In: 2024 IEEE Conference on Artificial In- telligence (CAI), IEEE, Singapore, Singapore, pp

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.797958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ec9660-e8f9-486f-af2a-b30da1310a2e · outbound

This paper cites Nature Communications 15(1), p.

A Primer on Large Language Models and their Limitations Nature Communications 15(1), p

Reference 61

Resolution: verified exact; doi, observed 2026-08-11T23:52:46.918001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 109e4da7-c9ea-4b7c-9fa4-bfc1e8eff661 · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

A Primer on Large Language Models and their Limitations The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.803601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf713de6-2a4f-4b94-ab56-0b48bc42a24c · outbound

This paper cites Pearson, Hoboken, New Jersey.

A Primer on Large Language Models and their Limitations Pearson, Hoboken, New Jersey

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.846316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b99a01d9-fdf8-4e66-9617-6933eea1dfa4 · outbound

This paper cites an unresolved cited work.

A Primer on Large Language Models and their Limitations Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.809252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96dc98f9-c37e-471a-b158-a86f83f5921e · outbound

This paper cites Strategic AI Governance: Insights from Leading Nations.

A Primer on Large Language Models and their Limitations Strategic AI Governance: Insights from Leading Nations

Reference 65

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T23:52:46.904727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ae66616-6474-472b-9e53-367627bc846f · outbound

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

A Primer on Large Language Models and their Limitations LLaMA: Open and Efficient Foundation Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.815170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc6ea19-16a4-44e0-8ac8-2cbf90f6d988 · outbound

This paper cites Attention Is All You Need.

A Primer on Large Language Models and their Limitations Attention Is All You Need

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.818525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d3fbd3f-d555-4de2-9fc1-11758331c79b · outbound

This paper cites What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?.

A Primer on Large Language Models and their Limitations What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.821787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fe7f24e-b806-4b81-9049-c0cfd8cf24ba · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

A Primer on Large Language Models and their Limitations Finetuned Language Models Are Zero-Shot Learners

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.824968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb2fae8-157e-4796-a51d-a9f8d2bed11a · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

A Primer on Large Language Models and their Limitations Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.827904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2782c68-b58b-4ff3-87bc-c8d24efef96e · outbound

This paper cites Innovation in language learning and teaching, pp.

A Primer on Large Language Models and their Limitations Innovation in language learning and teaching, pp

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.837683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f264e8f-804b-4773-9e31-7615584b347a · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

A Primer on Large Language Models and their Limitations BloombergGPT: A Large Language Model for Finance

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.833806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc62ce6e-bde6-456e-b707-8f0c22540d93 · outbound

This paper cites Na- ture Machine Intelligence 5(12), pp.

A Primer on Large Language Models and their Limitations Na- ture Machine Intelligence 5(12), pp

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.836714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1c85543-2135-424f-bf2e-f475f5797e26 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

A Primer on Large Language Models and their Limitations mT5: A massively multilingual pre-trained text-to-text transformer

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.839598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ad2d0bf-cf85-40bd-98c4-65e217d4e8e6 · outbound

This paper cites In: 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Comput- ing - NeurIPS Edition (EMC2-NIPS), IEEE, pp.

A Primer on Large Language Models and their Limitations In: 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Comput- ing - NeurIPS Edition (EMC2-NIPS), IEEE, pp

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.842607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434bdbe6-fe56-4a0e-84ee-d6aa87fad963 · outbound

This paper cites In: Conference on Parsimony and Learning , PMLR, pp.

A Primer on Large Language Models and their Limitations In: Conference on Parsimony and Learning , PMLR, pp

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:52:47.828266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4ad8c25-a39a-4455-ab25-3daaf84053ef · outbound

This paper cites A Survey of Large Language Models.

A Primer on Large Language Models and their Limitations A Survey of Large Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.847707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b584ba39-1069-4d82-bee9-51806dcdc7bc · outbound

This paper cites Technovation 124, p.

A Primer on Large Language Models and their Limitations Technovation 124, p

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T23:52:46.850402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers