Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions | Paper Citation Record

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This paper cites Oxford University Press, USA.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Oxford University Press, USA

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This paper cites Understanding comics: The invisible art.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Understanding comics: The invisible art

Reference 2

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This paper cites Improved Baselines with Visual Instruction Tuning.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Improved Baselines with Visual Instruction Tuning

Reference 3

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This paper cites A Survey on Multimodal Large Language Models.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions A Survey on Multimodal Large Language Models

Reference 4

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This paper cites Multimodal large language models: A survey.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Multimodal large language models: A survey

Reference 5

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This paper cites Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning

Reference 6

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This paper cites understanding.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions understanding

Reference 7

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This paper cites Artificial general intelligence: Roadmap to achieving human-level capabilities.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Artificial general intelligence: Roadmap to achieving human-level capabilities

Reference 8

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This paper cites A&C Black.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions A&C Black

Reference 9

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This paper cites Can Large Multimodal Models Uncover Deep Semantics Behind Images?.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Can Large Multimodal Models Uncover Deep Semantics Behind Images?

Reference 10

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Observation 1edda05f-b942-4674-94a4-50887e145d75 · outbound

This paper cites Routledge.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Routledge

Reference 11

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This paper cites an unresolved cited work.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Unresolved cited work

Reference 12

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This paper cites Rethinking literacy: Communication, representation and text.Reading, 37(3):98– 103.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Rethinking literacy: Communication, representation and text.Reading, 37(3):98– 103

Reference 13

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This paper cites Comic book visualities: a methodological manifesto on geography, montage and narration.Transactions of the Institute of British Geographers, 35(2):222–236.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Comic book visualities: a methodological manifesto on geography, montage and narration.Transactions of the Institute of British Geographers, 35(2):222–236

Reference 14

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This paper cites Juxtaposition: A new way to combine logics.The Review of Symbolic Logic, 4(4):560–606.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Juxtaposition: A new way to combine logics.The Review of Symbolic Logic, 4(4):560–606

Reference 15

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Observation 118efcbf-c5d0-46c0-a738-ab4d0a2cc8b6 · outbound

This paper cites Comics-based research: The affordances of comics for research across disciplines.Qualitative Research, 21(2):195–214.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Comics-based research: The affordances of comics for research across disciplines.Qualitative Research, 21(2):195–214

Reference 16

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This paper cites Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking

Reference 17

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This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 18

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This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744

Reference 19

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This paper cites Llama 3 model card.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Llama 3 model card

Reference 20

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This paper cites Large Language Models: A Survey.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Large Language Models: A Survey

Reference 21

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This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36

Reference 22

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This paper cites Alpacafarm: A simulation framework for methods that learn from human feedback.Advances in Neural Information Processing Systems, 36.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Alpacafarm: A simulation framework for methods that learn from human feedback.Advances in Neural Information Processing Systems, 36

Reference 23

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This paper cites PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Reference 24

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This paper cites C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models.Advances in Neural Information Processing Systems, 36.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models.Advances in Neural Information Processing Systems, 36

Reference 25

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This paper cites MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Reference 26

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This paper cites VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use

Reference 27

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Observation 0d5663f2-7ac8-4fcd-b14f-01ef0d69155b · outbound

This paper cites Breaking common sense: Whoops! a vision-and-language bench- mark of synthetic and compositional images.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Breaking common sense: Whoops! a vision-and-language bench- mark of synthetic and compositional images

Reference 28

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This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 29

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This paper cites SEED-Bench-2: Benchmarking Multimodal Large Language Models.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions SEED-Bench-2: Benchmarking Multimodal Large Language Models

Reference 30

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Observation fcfc24a5-a148-4b0f-b55a-f46c10f9ec32 · outbound

This paper cites Routledge.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Routledge

Reference 31

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This paper cites Predicting Audience's Laughter Using Convolutional Neural Network.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Predicting Audience's Laughter Using Convolutional Neural Network

Reference 32

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Observation b6cac148-39dd-4623-98c5-abb7bfce45ba · outbound

This paper cites Recognizing humour using word associations and humour anchor extraction.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Recognizing humour using word associations and humour anchor extraction

Reference 33

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Observation 0fdf671d-76b0-4a7c-9f0e-733b66390f5a · outbound

This paper cites Humor recognition and humor anchor extraction.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Humor recognition and humor anchor extraction

Reference 34

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This paper cites A survey on approaches to computational humor gen- eration.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions A survey on approaches to computational humor gen- eration

Reference 35

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Observation 3c9f3da0-f917-496f-bb68-da79a8353f02 · outbound

This paper cites We are humor beings: Understanding and predict- ing visual humor.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions We are humor beings: Understanding and predict- ing visual humor

Reference 36

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Observation 629cb5b6-3f68-490b-8962-040af7aa2eda · outbound

This paper cites Inside jokes: Identifying humorous cartoon captions.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Inside jokes: Identifying humorous cartoon captions

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Observation 6566b485-7b98-47da-918f-0bf7470be264 · outbound

This paper cites Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest

Reference 38

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Observation 48942f6d-3873-44ea-956c-61d440aed5e4 · outbound

This paper cites The laughing machine: Predicting humor in video.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions The laughing machine: Predicting humor in video

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Observation 2b224ed6-6c9e-41c2-bd19-8466eb8721cb · outbound

This paper cites Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection

Reference 40

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Observation 45dc607c-58da-45a0-b1b3-659256e06c30 · outbound

This paper cites ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-24T00:53:40.665904Z

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Observation 1d7b60f0-0884-4cc4-8415-482bb62467c6 · outbound

This paper cites Brain networks for visual creativity: a functional connectivity study of planning a visual artwork.Scientific reports, 6(1):39185.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Brain networks for visual creativity: a functional connectivity study of planning a visual artwork.Scientific reports, 6(1):39185

Reference 42

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Observation 537d7fff-03bc-4f9b-b1f0-9a1e58915ebd · outbound

This paper cites Best humans still outperform artificial intelligence in a creative divergent thinking task.Scientific reports, 13(1):13601.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Best humans still outperform artificial intelligence in a creative divergent thinking task.Scientific reports, 13(1):13601

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.545990Z

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Observation 84f95712-a171-4b46-9921-d24909c5ca04 · outbound

This paper cites MemeCap: A dataset for captioning and interpreting memes.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions MemeCap: A dataset for captioning and interpreting memes

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.474567Z

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Observation e7d19e09-f556-41a5-8dea-26acbbddc64d · outbound

This paper cites Humor in collective discourse: Unsupervised funniness detection in the new yorker cartoon caption contest.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Humor in collective discourse: Unsupervised funniness detection in the new yorker cartoon caption contest

Reference 45

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Observation 15a794b1-b666-407b-956f-17c5ac71e7c8 · outbound

This paper cites Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models

Reference 46

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Observation c9912429-fcd9-4f67-9506-574860fb26b1 · outbound

This paper cites From recognition to cognition: Visual commonsense reasoning.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions From recognition to cognition: Visual commonsense reasoning

Reference 47

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Observation 3aa43353-efdc-433b-89b1-6b8b1365cfa1 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.404273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 2c8b5f5a-72bb-45a7-85af-ee9126dc8ba3 · outbound

This paper cites Winoground: Probing vision and language models for visio-linguistic compositionality.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Winoground: Probing vision and language models for visio-linguistic compositionality

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.569340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a5185ace-cbab-4ba8-9310-9d3ab467810f · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.Advances in Neural Information Processing Systems, 35:2507–2521.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Learn to explain: Multimodal reasoning via thought chains for science question answering.Advances in Neural Information Processing Systems, 35:2507–2521

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.491309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 740fdd31-e476-46fc-af0a-0f1327d4ac7f · outbound

This paper cites yes, but.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions yes, but

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.553240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation aa84894c-b780-46a8-b655-19d4eb912a11 · outbound

This paper cites GPT-4 Technical Report.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions GPT-4 Technical Report

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:53:40.651442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f16277c7-a68c-4a43-8097-bcc4b575e954 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.Claude-3 Model Card.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions The claude 3 model family: Opus, sonnet, haiku.Claude-3 Model Card

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.414404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8643a358-7417-4394-8e0a-c94a830c1432 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.444805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c02d76f9-d739-43c7-88aa-ba2ab3e72a24 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions CogVLM: Visual Expert for Pretrained Language Models

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:53:40.687462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 59eb0c91-8c75-4aee-9794-89f810ee5171 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:53:40.583937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7ecff8e8-a354-4046-9026-bdf3b3edd1b3 · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.439021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8b9e4bdf-ddae-4654-ab36-f28019247b15 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.Advances in Neural Information Processing Systems, 36.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Instructblip: Towards general-purpose vision-language models with instruction tuning.Advances in Neural Information Processing Systems, 36

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.433912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 198fb981-af79-4155-9e8e-ca82284f2c9e · outbound

This paper cites Mistral 7B.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Mistral 7B

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:53:40.756875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation efb345bd-5e0a-46eb-a688-8598dcdaefd9 · outbound

This paper cites Evaluation of Text Generation: A Survey.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Evaluation of Text Generation: A Survey

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T00:53:40.707687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 9b5409ba-99c4-4ee3-934d-e0dcdd843dfa · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions ROUGE: A package for automatic evaluation of summaries

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.424010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 187f5a78-a7c0-4ae6-b003-caa3438c6487 · outbound

This paper cites Weinberger, and Yoav Artzi.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Weinberger, and Yoav Artzi

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.419552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation e564add7-68a9-4b63-9056-84d961d3a98d · outbound

This paper cites CLAIR: Eval- uating image captions with large language models.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions CLAIR: Eval- uating image captions with large language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.556554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 43d059ee-08e7-402c-af5d-11791861d6ac · outbound

This paper cites G- eval: NLG evaluation using gpt-4 with better human alignment.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions G- eval: NLG evaluation using gpt-4 with better human alignment

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.462231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c795e594-3648-4bac-96b5-099051de5dd5 · outbound

This paper cites AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-24T00:53:40.571886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5dad5452-a794-441e-b89e-f3a8f034a453 · outbound

This paper cites Reasoning with language model prompting: A survey.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Reasoning with language model prompting: A survey

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T00:53:41.509055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 78e4f266-6a62-47be-a301-6cb7b3c4bf66 · outbound

This paper cites Emergent Abilities of Large Language Models.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Emergent Abilities of Large Language Models

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:53:40.693651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation e74075c1-79e1-481f-909b-5bd892e2e31b · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:53:40.700117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f1995cd8-b292-4e90-bf22-bcb6cf46c76c · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 69

Resolution: malformed identifier; local_arxiv, observed 2026-05-24T00:53:40.763158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Reference resolution

Outbound references

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