Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? | Paper Citation Record

Observation bd480f45-3c14-47fc-ba1d-4638e2847c4f · outbound

This paper cites MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes

Reference 1

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Observation 87ce4ee5-14b4-4e21-9bdd-59fc431d5d02 · outbound

This paper cites World Patent Information 37:3--13.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? World Patent Information 37:3--13

Reference 2

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This paper cites Claude-3 Model Card.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Claude-3 Model Card

Reference 3

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This paper cites an unresolved cited work.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Unresolved cited work

Reference 4

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Observation 20e1ee75-cbd3-485d-9f32-a4450a553aa2 · outbound

This paper cites In: Advances in Neural Information Processing Systems, pp 1877--1901.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Advances in Neural Information Processing Systems, pp 1877--1901

Reference 5

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Observation 8e517e5c-6dcb-49b4-af18-8c604eb26f6d · outbound

This paper cites World Patent Information 80:102341.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? World Patent Information 80:102341

Reference 6

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Observation 05c13d2f-e131-4e93-bf89-1df22924b7a2 · outbound

This paper cites In: IET Conference Proceedings CP907, IET, pp 135--138.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: IET Conference Proceedings CP907, IET, pp 135--138

Reference 7

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Observation 31485b73-dc5b-483e-86a1-ab8dbbed761b · outbound

This paper cites World Patent Information 80:102339.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? World Patent Information 80:102339

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:19.502313Z

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Observation f475226c-86d3-4b73-ab52-de0b2a8793e2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Evaluating Large Language Models Trained on Code

Reference 9

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This paper cites PaLM: Scaling Language Modeling with Pathways.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? PaLM: Scaling Language Modeling with Pathways

Reference 10

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Observation 40d72c2f-a7b1-48cf-8ad6-c158d49e2616 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Training Verifiers to Solve Math Word Problems

Reference 11

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Observation ab965656-7940-427e-863a-32d9ba8b8942 · outbound

This paper cites In: Proceedings of NAACL-HLT, pp 4171--4186.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Proceedings of NAACL-HLT, pp 4171--4186

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:19.480280Z

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Observation 61768884-7ccd-416c-a0ed-dc85b49c2ae7 · outbound

This paper cites In: Kotz S, Johnson NL (eds) Breakthroughs in Statistics: Methodology and Distribution.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Kotz S, Johnson NL (eds) Breakthroughs in Statistics: Methodology and Distribution

Reference 13

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Observation 4e9e3b21-05b9-4125-a14b-20bf67498b3d · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 14

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This paper cites The Curious Case of Neural Text Degeneration.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? The Curious Case of Neural Text Degeneration

Reference 15

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This paper cites Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices

Reference 16

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Mistral 7B

Reference 17

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Observation b8e20a1a-cc07-48a6-b5e9-7b9bdfc05351 · outbound

This paper cites Artificial Intelligence Review 58(7).

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Artificial Intelligence Review 58(7)

Reference 18

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Observation f76610d1-984b-4488-a31d-dd7f6cb38b96 · outbound

This paper cites arXiv:241202549.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:241202549

Reference 19

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Observation 64feae18-4356-436b-add4-2d8f9b59878f · outbound

This paper cites arXiv:250512568.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:250512568

Reference 20

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This paper cites arXiv:250511095.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:250511095

Reference 21

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This paper cites Can Large Language Models Generate High-quality Patent Claims?.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Can Large Language Models Generate High-quality Patent Claims?

Reference 22

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This paper cites Technovation 129:102883.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Technovation 129:102883

Reference 23

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This paper cites arXiv:241007009.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:241007009

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:19.090139Z

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Observation 434e553e-4b05-439f-9b66-7ab552e715b2 · outbound

This paper cites World Patent Information 65:102035.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? World Patent Information 65:102035

Reference 25

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Observation 2b3c1fdc-59aa-4fd6-86ec-b0f9ea99847d · outbound

This paper cites In: Proceedings of the 7th JURIX Doctoral Consortium (DC JURIX 2019), CEUR Workshop Proceedings, vol 2598.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Proceedings of the 7th JURIX Doctoral Consortium (DC JURIX 2019), CEUR Workshop Proceedings, vol 2598

Reference 26

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Observation 8571118b-11bb-4de8-8871-217584c0a4aa · outbound

This paper cites Artificial Intelligence and Law pp 1--44.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Artificial Intelligence and Law pp 1--44

Reference 27

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Observation 1220e631-3afe-4b16-8cd6-e362afad1459 · outbound

This paper cites World Patent Information 62:101983.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? World Patent Information 62:101983

Reference 28

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This paper cites In: Proceedings of ACL , pp 7871--7880.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Proceedings of ACL , pp 7871--7880

Reference 29

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This paper cites In: Text Summarization Branches Out: Proceedings of the ACL-04 Workshop, pp 74--81.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Text Summarization Branches Out: Proceedings of the ACL-04 Workshop, pp 74--81

Reference 30

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This paper cites DeepSeek-V3 Technical Report.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? DeepSeek-V3 Technical Report

Reference 31

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 32

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This paper cites Journal of the American Statistical Association 44(247):335--341.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Journal of the American Statistical Association 44(247):335--341

Reference 33

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Efficient Estimation of Word Representations in Vector Space

Reference 34

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This paper cites In: Human Language Technology: Proceedings of a Workshop, Plainsboro (New Jersey), March 8-11, 1994.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Human Language Technology: Proceedings of a Workshop, Plainsboro (New Jersey), March 8-11, 1994

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.904348Z

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Reference 36

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? GPT-4 Technical Report

Reference 37

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This paper cites In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp 311--318.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp 311--318

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.811929Z

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Observation 74baf85c-0c55-491d-9529-dfbc5c9a1c91 · outbound

This paper cites In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp 1532--1543.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp 1532--1543

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.746362Z

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This paper cites In: Proceedings of the 6th Workshop on Patent and Scientific Literature Translation.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Proceedings of the 6th Workshop on Patent and Scientific Literature Translation

Reference 40

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This paper cites OpenAI blog 1(8):9.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? OpenAI blog 1(8):9

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.571014Z

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Observation ef2f93a5-30c3-4eb8-9895-d6b0874a4532 · outbound

This paper cites Journal of Machine Learning Research 21(140):1--67.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Journal of Machine Learning Research 21(140):1--67

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.505369Z

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Observation a830ea72-e3bc-4696-b52e-3de97a8c27c0 · outbound

This paper cites Knowledge and Information Systems 61(2):631--660.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Knowledge and Information Systems 61(2):631--660

Reference 43

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization

Reference 44

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Observation ae643ebb-4cb8-4ac3-b8a2-73ae409a9099 · outbound

This paper cites arXiv:250115074.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:250115074

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.428207Z

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Observation 0f39b63e-5262-45e5-ae0e-17ea9de0846d · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-1(2):164--172.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-1(2):164--172

Reference 46

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Observation 28faa3cd-a08c-4a21-9f4a-a2105fc3b5b5 · outbound

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? LaMDA: Language Models for Dialog Applications

Reference 47

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Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? LLaMA: Open and Efficient Foundation Language Models

Reference 48

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Observation 9cb32be1-5221-4092-8a7e-178cc4404d77 · outbound

This paper cites In: International TRIZ Future Conference, Springer, pp 3--19.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: International TRIZ Future Conference, Springer, pp 3--19

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.360845Z

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This paper cites Tex Tech L Rev 54:255.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Tex Tech L Rev 54:255

Reference 50

Resolution: verified exact; doi, observed 2026-08-06T18:24:54.566598Z

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Observation c5ed1281-f429-41dd-af33-ccdd071d6ad1 · outbound

This paper cites In: Advances in Neural Information Processing Systems, pp 5998--6008.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? In: Advances in Neural Information Processing Systems, pp 5998--6008

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.289944Z

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Observation b450b84a-d513-4219-81b8-f4e972fd5c86 · outbound

This paper cites arXiv:241209796.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:241209796

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.223763Z

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Observation 253c995b-984a-474b-9d6d-627b22f30fa3 · outbound

This paper cites arXiv:241218100.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:241218100

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.121592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d330047-6f8f-4063-9c99-859a80d144e6 · outbound

This paper cites arXiv:241021312.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:241021312

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.041534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dd498b0-95df-40d1-bab8-36d04949d872 · outbound

This paper cites Ethical and social risks of harm from Language Models.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Ethical and social risks of harm from Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:54.006800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21559c2-701a-4b66-8d7e-3d458b9ce38b · outbound

This paper cites Pattern Recognition 23(5):509--528.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? Pattern Recognition 23(5):509--528

Reference 56

Resolution: verified exact; doi, observed 2026-08-06T18:24:54.405546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29ffb37a-4b30-4892-a8d4-710133db445f · outbound

This paper cites arXiv:250519345.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? arXiv:250519345

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:55.933098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a6420c7-f7a9-43b2-ade5-c3ae1d62cb6d · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test? BERTScore: Evaluating Text Generation with BERT

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:54.245706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers