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Paper Citation Record · LEDGER

Evaluation of LLMs for mathematical problem solving

As of 18 August 2026, this Paper Citation Record lists 100 of 167 outbound references and 0 inbound Pith citation observations for arXiv:2506.00309.

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

pith.paper-citation-record.v1
2506.00309 v3

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100 of 167 outbound references displayed

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Outbound references

Observation b126cd2a-fbb3-4fda-b06f-9013bc4a6509 · outbound

This paper cites Liljedahl and M.

Evaluation of LLMs for mathematical problem solving Liljedahl and M

Reference 1

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This paper cites Students’ difficulties in mathemat- ics problem-solving: What do they say?.

Evaluation of LLMs for mathematical problem solving Students’ difficulties in mathemat- ics problem-solving: What do they say?

Reference 2

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This paper cites Abstraction in mathematics and mathe- matics learning.

Evaluation of LLMs for mathematical problem solving Abstraction in mathematics and mathe- matics learning

Reference 3

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Evaluation of LLMs for mathematical problem solving Unresolved cited work

Reference 4

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This paper cites Mathematics: con- ceptions, learning and teaching,.

Evaluation of LLMs for mathematical problem solving Mathematics: con- ceptions, learning and teaching,

Reference 5

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This paper cites The nature, e ffects, and relief of mathematics anxiety,.

Evaluation of LLMs for mathematical problem solving The nature, e ffects, and relief of mathematics anxiety,

Reference 6

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Evaluation of LLMs for mathematical problem solving Development of ab- stract mathematical reasoning: the case of algebra,

Reference 7

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This paper cites The logical thinking ability: Math- ematical disposition and self-regulated learning,.

Evaluation of LLMs for mathematical problem solving The logical thinking ability: Math- ematical disposition and self-regulated learning,

Reference 8

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This paper cites Developing critical thinking skills of students in mathematics learning,.

Evaluation of LLMs for mathematical problem solving Developing critical thinking skills of students in mathematics learning,

Reference 9

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This paper cites Critical thinking: Essence for teaching mathematics and mathematics problem solving skills,.

Evaluation of LLMs for mathematical problem solving Critical thinking: Essence for teaching mathematics and mathematics problem solving skills,

Reference 10

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This paper cites Artificial intelligence in mathemat- ics education: A systematic literature review,.

Evaluation of LLMs for mathematical problem solving Artificial intelligence in mathemat- ics education: A systematic literature review,

Reference 11

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This paper cites The importance of educational technology in teaching,.

Evaluation of LLMs for mathematical problem solving The importance of educational technology in teaching,

Reference 12

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This paper cites Benefits and limitations of the artificial with respect to the traditional learning of mathematics,.

Evaluation of LLMs for mathematical problem solving Benefits and limitations of the artificial with respect to the traditional learning of mathematics,

Reference 13

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This paper cites The use of interactive learning technologies in math classes,.

Evaluation of LLMs for mathematical problem solving The use of interactive learning technologies in math classes,

Reference 14

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Evaluation of LLMs for mathematical problem solving Going the distance with on- line education,

Reference 15

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Evaluation of LLMs for mathematical problem solving Natural language processing in the era of large language models,

Reference 16

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Evaluation of LLMs for mathematical problem solving An introduction to key technology in artifi- cial intelligence and big data driven e-learning and e-education,

Reference 17

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Evaluation of LLMs for mathematical problem solving Learning mathematics with large language models: A comparative study with computer algebra systems and other tools,

Reference 18

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Evaluation of LLMs for mathematical problem solving Johnsen, Large language models (LLMs)

Reference 19

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Evaluation of LLMs for mathematical problem solving Talking about large language models,

Reference 20

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Evaluation of LLMs for mathematical problem solving A survey on large language mod- els: Applications, challenges, limitations, and practical usage,

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Evaluation of LLMs for mathematical problem solving A Survey of Large Language Models

Reference 22

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Evaluation of LLMs for mathematical problem solving Challenges and Applications of Large Language Models

Reference 23

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Evaluation of LLMs for mathematical problem solving The evolution of human-computer interaction: From com- mand lines to conversational interfaces powered by large language mod- els,

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Evaluation of LLMs for mathematical problem solving Enhancing human-computer in- teraction through ai: A study on chatgpt in educational environments,

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This paper cites Large language models: a com- prehensive survey of its applications, challenges, limitations, and future prospects,.

Evaluation of LLMs for mathematical problem solving Large language models: a com- prehensive survey of its applications, challenges, limitations, and future prospects,

Reference 26

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This paper cites A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback.

Evaluation of LLMs for mathematical problem solving A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback

Reference 27

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This paper cites A multifaceted vision of the human-ai collaboration: a comprehensive review,.

Evaluation of LLMs for mathematical problem solving A multifaceted vision of the human-ai collaboration: a comprehensive review,

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Evaluation of LLMs for mathematical problem solving Practical and ethical challenges of large lan- guage models in education: A systematic scoping review,

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Evaluation of LLMs for mathematical problem solving Challenges and future directions of big data and artificial intelligence in education,

Reference 30

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This paper cites Exploring the possibility and implementation of ai- supported online math coaching,.

Evaluation of LLMs for mathematical problem solving Exploring the possibility and implementation of ai- supported online math coaching,

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Evaluation of LLMs for mathematical problem solving Artificial intelligence in mathemat- ics education: The good, the bad, and the ugly,

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Evaluation of LLMs for mathematical problem solving Information analysis of advanced mathematics education- adaptive algorithm based on big data,

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Evaluation of LLMs for mathematical problem solving Deep learning,

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Evaluation of LLMs for mathematical problem solving Development and application of artificial neu- ral network,

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Evaluation of LLMs for mathematical problem solving Large language models (llms): survey, technical frameworks, and future challenges,

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Evaluation of LLMs for mathematical problem solving When large language models meet personal- ization: Perspectives of challenges and opportunities,

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Evaluation of LLMs for mathematical problem solving A Survey on Large Language Models for Code Generation

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Evaluation of LLMs for mathematical problem solving Datasets for Large Language Models: A Comprehensive Survey

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Observation 1d131f1f-497f-418c-a913-6be5f6a52b18 · outbound

This paper cites Harnessing large language mod- els’ zero-shot and few-shot learning capabilities for regulatory research,.

Evaluation of LLMs for mathematical problem solving Harnessing large language mod- els’ zero-shot and few-shot learning capabilities for regulatory research,

Reference 40

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Observation b7857093-262e-4a0b-9f54-230f61b8af7f · outbound

This paper cites Alto, Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI’s LLM for productivity and inno- vation with GPT3 and GPT4.

Evaluation of LLMs for mathematical problem solving Alto, Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI’s LLM for productivity and inno- vation with GPT3 and GPT4

Reference 41

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Observation b69087e0-5f88-4787-a5e6-448fc5662e1a · outbound

This paper cites Google gemini as a next generation ai educational tool: a review of emerging educational technology,.

Evaluation of LLMs for mathematical problem solving Google gemini as a next generation ai educational tool: a review of emerging educational technology,

Reference 42

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Observation c2e3d4f3-0c0e-49e4-82a2-a01a357d685f · outbound

This paper cites A survey of deepseek models,.

Evaluation of LLMs for mathematical problem solving A survey of deepseek models,

Reference 43

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Observation 012911c5-e066-487b-912c-b909f6b4843a · outbound

This paper cites Comparative Analysis Based on DeepSeek, ChatGPT, and Google Gemini: Features, Techniques, Performance, Future Prospects.

Evaluation of LLMs for mathematical problem solving Comparative Analysis Based on DeepSeek, ChatGPT, and Google Gemini: Features, Techniques, Performance, Future Prospects

Reference 44

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source=pdf_text observed=2026-08-07T12:11:05.309517Z digest=sha256:7c72839f71f83f1aebb97b9535f117381718bbe2d19e0346f8dd82a36561025e

Observation 3990a575-fd8d-488f-bc84-f2c124418b41 · outbound

This paper cites Bias and fairness in large language models: A survey,.

Evaluation of LLMs for mathematical problem solving Bias and fairness in large language models: A survey,

Reference 45

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source=pdf_text observed=2026-08-07T12:11:05.439080Z digest=sha256:8ea9423b0ecdfbe96d3940efb2aba9651e71c43aa3eb51145d2cbc1881b5d093

Observation f23486ab-3635-4929-b30f-6057e900c13f · outbound

This paper cites Large language models (llm) in compu- tational social science: prospects, current state, and challenges,.

Evaluation of LLMs for mathematical problem solving Large language models (llm) in compu- tational social science: prospects, current state, and challenges,

Reference 46

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source=pdf_text observed=2026-08-07T12:11:05.528866Z digest=sha256:2d1dca35b4c47a35b4449070cbe32d9d03e4e1f5311c87b15ad129d69107de7e

Observation 9fa01db6-8877-4789-aed3-4f2cc81ce452 · outbound

This paper cites Foundation and large language models: fundamentals, challenges, op- portunities, and social impacts,.

Evaluation of LLMs for mathematical problem solving Foundation and large language models: fundamentals, challenges, op- portunities, and social impacts,

Reference 47

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source=pdf_text observed=2026-08-07T12:11:05.611256Z digest=sha256:e551d3ffbb598409df8f2b028b5c08208d38d0653030846f7af802b57fed21ba

Observation e2176361-e4c1-46bb-8a54-fecb6e9666bf · outbound

This paper cites Llm challenges and solutions,.

Evaluation of LLMs for mathematical problem solving Llm challenges and solutions,

Reference 48

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source=pdf_text observed=2026-08-07T12:11:05.736888Z digest=sha256:ebceba1f2fb846273240a8075d8dd081c3e7e220b951548c7b8da0325f5570db

Observation ee991bde-b2c9-47c7-a839-2e2611e92eac · outbound

This paper cites A step-by-step solution methodology for mathematical expressions,.

Evaluation of LLMs for mathematical problem solving A step-by-step solution methodology for mathematical expressions,

Reference 49

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source=pdf_text observed=2026-08-07T12:11:05.838896Z digest=sha256:b2a0721d91e648033e2595c4955c45ea91bc9c5f40248d2a6b41d6f0b4ba1812

Observation 45af079e-53e1-4438-aff2-a36e7c0570c1 · outbound

This paper cites Solving mathematical problems using large language models: A survey,.

Evaluation of LLMs for mathematical problem solving Solving mathematical problems using large language models: A survey,

Reference 50

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Observation fb72275c-326f-400e-91e2-b7fd7e4764d5 · outbound

This paper cites Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems.

Evaluation of LLMs for mathematical problem solving Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems

Reference 51

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local_arxiv, observed 2026-08-07T12:11:19.122358Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:11:06.046481Z digest=sha256:7b02b10d6792c22cbfb06c3ec822ad05b6b8d584e0caa580a7d10add4a4ff326

Observation 7df8c725-2ba5-407e-9ecf-879bd0badedb · outbound

This paper cites Assessing the performance of ai-generated code: A case study on github copilot,.

Evaluation of LLMs for mathematical problem solving Assessing the performance of ai-generated code: A case study on github copilot,

Reference 52

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Observation ed7b28c0-6349-4941-bb6e-e8fc0788fae2 · outbound

This paper cites Exploring Large Language Models for Code Explanation.

Evaluation of LLMs for mathematical problem solving Exploring Large Language Models for Code Explanation

Reference 53

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source=pdf_text observed=2026-08-07T12:11:06.303541Z digest=sha256:fd5462188b554114baec8c25afcdb25077b177eb040d5bf7d57b9536fe088993

Observation a98a37f7-2523-40ff-bac3-7ccbd941818a · outbound

This paper cites Automatic programming: Large language models and beyond,.

Evaluation of LLMs for mathematical problem solving Automatic programming: Large language models and beyond,

Reference 54

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source=pdf_text observed=2026-08-07T12:11:06.395561Z digest=sha256:4b52ac0e861f9d660d79dc4a285d3a89622ac9bb338a4a4d9d18eed2e0d4b740

Observation cfbc08c1-5198-46d5-a96f-8f1d4f0dbea6 · outbound

This paper cites Intelligent computing: the latest advances, challenges, and future,.

Evaluation of LLMs for mathematical problem solving Intelligent computing: the latest advances, challenges, and future,

Reference 55

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Source-reported events for the cited work

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Observation 53128e99-3706-43cf-8a71-54d14cac1662 · outbound

This paper cites Bridging machine learning and logical reasoning by abductive learning,.

Evaluation of LLMs for mathematical problem solving Bridging machine learning and logical reasoning by abductive learning,

Reference 56

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source=pdf_text observed=2026-08-07T12:11:06.589247Z digest=sha256:ffe8a6daaa9d6ebe5baeba759a9334a6f5850b4774d8a50accbe9ea7cf1fa482

Observation 74b9d6e3-901c-4cb0-827e-7c7c600334f7 · outbound

This paper cites MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.

Evaluation of LLMs for mathematical problem solving MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark

Reference 57

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source=pdf_text observed=2026-08-07T12:11:06.681146Z digest=sha256:778f174d22af17b864cbaed0ae77f433bc70398bd3aad25405f0499d57113d08

Observation bf914875-85f5-4cec-80e6-5bdb60b86345 · outbound

This paper cites Metacog- nitive capabilities of llms: An exploration in mathematical problem solv- ing,.

Evaluation of LLMs for mathematical problem solving Metacog- nitive capabilities of llms: An exploration in mathematical problem solv- ing,

Reference 58

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source=pdf_text observed=2026-08-07T12:11:06.774134Z digest=sha256:e531d26ecf2f477594f422d5ef6fbbdebdec985f1e7bcc8f75c38fb4cbc65e5b

Observation c2b25631-689f-4039-a697-f7538705028e · outbound

This paper cites A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets.

Evaluation of LLMs for mathematical problem solving A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

Reference 59

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Observation 33f473ca-fd4f-497b-88a3-c35520879755 · outbound

This paper cites A survey on evaluation of large language mod- els,.

Evaluation of LLMs for mathematical problem solving A survey on evaluation of large language mod- els,

Reference 60

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Observation cd97d080-e80a-479c-9490-2982e88b4b04 · outbound

This paper cites Surampudi, Big Data Meets LLMs: A New Era of Incident Monitor- ing.

Evaluation of LLMs for mathematical problem solving Surampudi, Big Data Meets LLMs: A New Era of Incident Monitor- ing

Reference 61

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Observation 7f88e224-53e0-4d3b-9215-3a8af6ef2c3a · outbound

This paper cites E ffect of chat gpt on the digitized learning process of university students,.

Evaluation of LLMs for mathematical problem solving E ffect of chat gpt on the digitized learning process of university students,

Reference 62

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source=pdf_text observed=2026-08-07T12:11:07.149322Z digest=sha256:91a17b58e361196458a1d04bf772fd5faf7bf5807048d7bcdfcd7a93bc1481ae

Observation f84551d4-ecfb-4656-9020-79b536764ebb · outbound

This paper cites The e ffects of over-reliance on ai dialogue systems on students’ cognitive abilities: a systematic review,.

Evaluation of LLMs for mathematical problem solving The e ffects of over-reliance on ai dialogue systems on students’ cognitive abilities: a systematic review,

Reference 63

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Observation d68c9621-1e78-4617-be13-df4c8da886be · outbound

This paper cites Chatgpt: The end of online exam in- tegrity?.

Evaluation of LLMs for mathematical problem solving Chatgpt: The end of online exam in- tegrity?

Reference 64

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Observation 33ff6b33-a55c-4a90-a9f9-fe22356fe051 · outbound

This paper cites Ethical principles for artificial intelligence in education,.

Evaluation of LLMs for mathematical problem solving Ethical principles for artificial intelligence in education,

Reference 65

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source=pdf_text observed=2026-08-07T12:11:07.412204Z digest=sha256:186d479eb5bcfa47a5289c15221d4aaada1830b9651885ef96a3eee71085424b

Observation 10a97baa-5882-4fe7-adba-ef79bab38783 · outbound

This paper cites Formal Mathematical Reasoning: A New Frontier in AI.

Evaluation of LLMs for mathematical problem solving Formal Mathematical Reasoning: A New Frontier in AI

Reference 66

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Observation e951661c-e566-4beb-b14b-8a0c537bafcb · outbound

This paper cites Generative ai and future education: a review, theoretical validation, and authors’ perspective on challenges and solutions,.

Evaluation of LLMs for mathematical problem solving Generative ai and future education: a review, theoretical validation, and authors’ perspective on challenges and solutions,

Reference 67

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source=pdf_text observed=2026-08-07T12:11:07.614786Z digest=sha256:b8e49236cf9aa86cdbd3cb3ca763059c707e7257a8aa83b98c33435981b01252

Observation b3dc2917-2999-4746-b55a-968045811af5 · outbound

This paper cites The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie.

Evaluation of LLMs for mathematical problem solving The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie

Reference 68

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source=pdf_text observed=2026-08-07T12:11:07.684271Z digest=sha256:00928f1147775c9e3ade0d10f18e9a41a3aea5b3c0d4cd707379a98712276316

Observation d5143984-5a8c-4b22-a447-02cc5aff939b · outbound

This paper cites Machine learning and deep learning,.

Evaluation of LLMs for mathematical problem solving Machine learning and deep learning,

Reference 69

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source=pdf_text observed=2026-08-07T12:11:07.756693Z digest=sha256:bb2f6c4093d28c878a584cbdbc7976a5f15dff14d0002ad2d8803636eb146adb

Observation 94238204-d254-4503-97fc-64632728c0df · outbound

This paper cites Deep learning,.

Evaluation of LLMs for mathematical problem solving Deep learning,

Reference 70

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source=pdf_text observed=2026-08-07T12:11:07.849842Z digest=sha256:c75f720bbd05e39a249d742d4b3c82f751e0a3629597cece88c4fc2747734d4e

Observation d48275ff-36df-4918-a769-289e5ccb8da6 · outbound

This paper cites Scaling laws of data- driven machine learning models: A survey and taxonomy,.

Evaluation of LLMs for mathematical problem solving Scaling laws of data- driven machine learning models: A survey and taxonomy,

Reference 71

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source=pdf_text observed=2026-08-07T12:11:07.907581Z digest=sha256:a76edf4525c801d5901058a956ca2ddb5abcb0930a875917221efd366c4f8e69

Observation df2893db-3024-4993-a7a3-24f17d12ddda · outbound

This paper cites Deep learning & its applications,.

Evaluation of LLMs for mathematical problem solving Deep learning & its applications,

Reference 72

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source=pdf_text observed=2026-08-07T12:11:07.966899Z digest=sha256:6e77a1fd8a00af449139b47fcf5aeca22eb32dde16e799293157bb4450fae6b5

Observation d4ba57f3-414b-45d7-aa67-3f1b78852a1f · outbound

This paper cites Deep learning,.

Evaluation of LLMs for mathematical problem solving Deep learning,

Reference 73

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source=pdf_text observed=2026-08-07T12:11:08.034045Z digest=sha256:789a7a7c27d704f9727566b1cec088ef59f4c3fa2c40cadde789505a5f362909

Observation 0498e75f-08ff-461b-92d0-60b4cc11a5e3 · outbound

This paper cites Mehrotra, Basics of artificial intelligence & machine learning.

Evaluation of LLMs for mathematical problem solving Mehrotra, Basics of artificial intelligence & machine learning

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source=pdf_text observed=2026-08-07T12:11:08.104136Z digest=sha256:bb8648f347604e30941679cfdf2e7c79e0b7ddbbd58468c77cbead35869ce9e2

Observation c9be37da-968e-4398-b136-150d2f39f50d · outbound

This paper cites A study of challenges and limitations to ap- plying machine learning to highly unstructured data,.

Evaluation of LLMs for mathematical problem solving A study of challenges and limitations to ap- plying machine learning to highly unstructured data,

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Observation 9b5cc850-5ebb-4ab5-946d-34114026904d · outbound

This paper cites Supervised learning,.

Evaluation of LLMs for mathematical problem solving Supervised learning,

Reference 76

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source=pdf_text observed=2026-08-07T12:11:08.257518Z digest=sha256:b6b0ca2ccd7af572cc0f2e58cef14a6213887a4a54bfed7ad5e83cbc287801f4

Observation 1b5c9c74-44db-46f5-bd0b-0c3e6ae0dc8b · outbound

This paper cites Self- attention and transformers: Driving the evolution of large language mod- els,.

Evaluation of LLMs for mathematical problem solving Self- attention and transformers: Driving the evolution of large language mod- els,

Reference 77

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Observation 75359080-5c58-4fa0-b19c-80c16893de67 · outbound

This paper cites A review on large language models: Architectures, applications, taxonomies, open issues and challenges,.

Evaluation of LLMs for mathematical problem solving A review on large language models: Architectures, applications, taxonomies, open issues and challenges,

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Observation 03a91b66-46ab-40d4-bfe9-99c408b0ce13 · outbound

This paper cites Large language models, fine tuning, code generation,.

Evaluation of LLMs for mathematical problem solving Large language models, fine tuning, code generation,

Reference 79

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Observation 4f8dde0f-ae85-4fb4-8011-058c2aa96374 · outbound

This paper cites Machine learning and deep learning for big data analytics: A review of methods and applications,.

Evaluation of LLMs for mathematical problem solving Machine learning and deep learning for big data analytics: A review of methods and applications,

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Observation edfd2758-a0d0-4373-b05c-89b60cfa1294 · outbound

This paper cites Chatgpt and open-ai models: A preliminary review,.

Evaluation of LLMs for mathematical problem solving Chatgpt and open-ai models: A preliminary review,

Reference 81

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Observation fed8dbd0-2a98-498a-857b-5761f7812927 · outbound

This paper cites Gpt (generative pre-trained transformer)–a comprehensive re- view on enabling technologies, potential applications, emerging chal- lenges, and future directions,.

Evaluation of LLMs for mathematical problem solving Gpt (generative pre-trained transformer)–a comprehensive re- view on enabling technologies, potential applications, emerging chal- lenges, and future directions,

Reference 82

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Observation aea37d90-4e23-4bf7-aab0-22c12d9519a7 · outbound

This paper cites Research on text classification model based on self-attention mechanism and multi-neural network.

Evaluation of LLMs for mathematical problem solving Research on text classification model based on self-attention mechanism and multi-neural network

Reference 83

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Observation 697c5d3a-f515-49fb-9b41-7bee1d751912 · outbound

This paper cites Chatgpt–technical research model, capability analysis, and application prospects,.

Evaluation of LLMs for mathematical problem solving Chatgpt–technical research model, capability analysis, and application prospects,

Reference 84

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Observation 2a5fe638-4672-45d3-b6c5-93ebaecab853 · outbound

This paper cites A sur- vey of reinforcement learning from human feedback,.

Evaluation of LLMs for mathematical problem solving A sur- vey of reinforcement learning from human feedback,

Reference 85

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Observation ab55b070-2f43-4cd9-9836-b9f5f14f023c · outbound

This paper cites Summary of chatgpt-related research and perspective towards the future of large language models,.

Evaluation of LLMs for mathematical problem solving Summary of chatgpt-related research and perspective towards the future of large language models,

Reference 86

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Observation a1bd029c-0381-4646-9d80-b1144f68e6f0 · outbound

This paper cites External Reasoning: Towards Multi-Large-Language-Models Interchangeable Assistance with Human Feedback.

Evaluation of LLMs for mathematical problem solving External Reasoning: Towards Multi-Large-Language-Models Interchangeable Assistance with Human Feedback

Reference 87

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Observation 7cdd153a-f3c0-4418-80ba-91966e5d3d4f · outbound

This paper cites Use of language by generative ai tools in mathematical problem solving: The case of chatgpt,.

Evaluation of LLMs for mathematical problem solving Use of language by generative ai tools in mathematical problem solving: The case of chatgpt,

Reference 88

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Observation c8f1fda9-08b2-4a2e-9adb-4c7b5f61817c · outbound

This paper cites Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination.

Evaluation of LLMs for mathematical problem solving Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination

Reference 89

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Observation 7298970c-09c7-4245-95e3-d23a0ac2c79d · outbound

This paper cites Chatgpt challenges blended learning methodologies in engineering education: A case study in mathematics,.

Evaluation of LLMs for mathematical problem solving Chatgpt challenges blended learning methodologies in engineering education: A case study in mathematics,

Reference 90

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Observation 1d3785e1-dde0-4be5-ac83-5b75ba519f00 · outbound

This paper cites Mathematical capabilities of chatgpt,.

Evaluation of LLMs for mathematical problem solving Mathematical capabilities of chatgpt,

Reference 91

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Observation 67433008-2cf1-44ba-a04f-4711df9cb7ad · outbound

This paper cites Deepseek and china’s ai renaissance: The rise of the four dragons and six tigers,.

Evaluation of LLMs for mathematical problem solving Deepseek and china’s ai renaissance: The rise of the four dragons and six tigers,

Reference 92

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Observation 18f0856f-b509-44a9-a600-6914d7f66824 · outbound

This paper cites Deepseek large-scale model: technical analysis and develop- ment prospect,.

Evaluation of LLMs for mathematical problem solving Deepseek large-scale model: technical analysis and develop- ment prospect,

Reference 93

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Observation 76dec044-029b-4a62-9844-88bf07db8be8 · outbound

This paper cites Deepseek models: A comprehensive survey of methods and applications.

Evaluation of LLMs for mathematical problem solving Deepseek models: A comprehensive survey of methods and applications

Reference 94

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Observation b9b50c11-9897-47a6-be1d-c90933844780 · outbound

This paper cites A survey on complex reasoning of large language models through the lens of self-evolution,.

Evaluation of LLMs for mathematical problem solving A survey on complex reasoning of large language models through the lens of self-evolution,

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Observation 0b3d66c9-629a-4f0a-b757-1d14139289b9 · outbound

This paper cites Mixture of Experts (MoE): A Big Data Perspective.

Evaluation of LLMs for mathematical problem solving Mixture of Experts (MoE): A Big Data Perspective

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Observation 4e07f3b8-42ad-4c95-960f-c9b06133f978 · outbound

This paper cites A Survey on Post-training of Large Language Models.

Evaluation of LLMs for mathematical problem solving A Survey on Post-training of Large Language Models

Reference 97

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Observation 1703d79e-8fba-40db-aff5-a08ceeaaafb4 · outbound

This paper cites Ai for mathematics,.

Evaluation of LLMs for mathematical problem solving Ai for mathematics,

Reference 98

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Observation ecad3f9b-6d8c-4f23-b9f3-98f63d458747 · outbound

This paper cites Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoning.

Evaluation of LLMs for mathematical problem solving Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoning

Reference 99

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Observation 5939c403-35e4-41bb-a2d5-56fba4c69b7c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Evaluation of LLMs for mathematical problem solving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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