CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model | Paper Citation Record

Observation 1560dc60-dac6-4001-a768-94f9d2c3abd0 · outbound

This paper cites Introducing the next generation of Claude.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Introducing the next generation of Claude

Reference 1

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Observation 311e7381-6d01-4d1a-8fd0-7efe27dfe042 · outbound

This paper cites GPT-4 Technical Report.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model GPT-4 Technical Report

Reference 2

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Observation 6679bd9c-66bd-40d0-b8f6-0b27ae52841d · outbound

This paper cites Qwen2.5-VL Technical Report.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Qwen2.5-VL Technical Report

Reference 3

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 4

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Observation 659ae2bf-7221-4b7e-a976-40394db4100c · outbound

This paper cites FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models

Reference 5

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This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 6

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Observation e18b658f-fc61-466c-aac9-b9b56972b532 · outbound

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 7

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Observation 5e12a27b-d54c-403d-a8b6-de1ac96254d7 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 8

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Observation f2308a26-6e33-4554-8d1e-e50361b9f7dc · outbound

This paper cites DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 9

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Observation 43ffa7f2-fb41-431c-8422-1ede25e295f0 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:50.668273Z

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Observation 8033f881-8d72-4e0e-a6e6-aade9b831f70 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 11

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Observation 289e4470-4a14-4401-9ebc-5cb685822117 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 12

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Observation 387fc662-f3c7-4ff0-9ee5-295aa699c35b · outbound

This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

Reference 13

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Observation 79e39e99-d27e-4cbc-907b-1bde84a22d1a · outbound

This paper cites InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Reference 14

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Observation c21edc4c-12b9-433d-8d8a-ee778f72eee5 · outbound

This paper cites GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 15

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Observation cdeade36-35a5-4407-a9df-e993b18a8124 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 16

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Observation 23e1543e-85c6-4b74-8a6d-fa817ef1e72e · outbound

This paper cites MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Reference 17

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Observation 6fe932cc-0433-4486-9f92-a8ac7ddec30f · outbound

This paper cites The Llama 3 Herd of Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:51.443272Z

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Observation 7de12642-4334-476e-a6ba-19a632781f5d · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 19

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Observation c82e86d3-5dd2-4634-acdf-6cc515a508b2 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 20

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Observation 8687aed6-135e-4e4a-98e5-4983c4cd4823 · outbound

This paper cites Jimin Huang, Lingfei Qian, Xueqing Peng, Qianqian Xie, and Jordan W.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Jimin Huang, Lingfei Qian, Xueqing Peng, Qianqian Xie, and Jordan W

Reference 21

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Observation 55f02f49-0be9-4e56-a803-b72699b3afb3 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 22

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Observation a2fc042a-d318-45a5-99b3-6bb36f5fd8d5 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 23

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Observation 254fd48c-6a6e-49fe-9373-82304356bcdb · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:51.993103Z

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Observation 58490e69-5dbe-4499-bd3a-641d8bc41934 · outbound

This paper cites VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation

Reference 25

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Observation ea3886e0-5d39-47c1-8513-bdf3415a4b7c · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 26

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Observation 50a36008-82a8-4188-87bf-85e97e516b58 · outbound

This paper cites MultiBench: Multiscale Benchmarks for Multimodal Representation Learning.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Reference 27

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Observation 06864eee-9994-40e7-be86-7e9ccc721e20 · outbound

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:10.128796Z

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Observation 4a996ff8-1fbf-4b60-a8b5-6be43c53877e · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MMBench: Is Your Multi-modal Model an All-around Player?

Reference 29

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Observation a04f08e6-b0af-43f8-b644-cb83d3290c28 · outbound

This paper cites BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 30

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Observation e58aea71-0478-42af-a975-390472e59e1c · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 31

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Observation 913d317c-4d00-4083-a55b-27c266d16a9c · outbound

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 32

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 33

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 34

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Observation f604eb77-1fa0-41c1-86db-b6b50606a5a8 · outbound

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 35

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Observation 52a58352-c141-4ed3-85da-be2866e70e81 · outbound

This paper cites In International conference on machine learning.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model In International conference on machine learning

Reference 36

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Observation 325e99a7-1c22-418d-a853-c0e536d07a3c · outbound

This paper cites WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:52.858650Z

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Observation 207bb408-bdb3-49db-84a4-b2a56f86994a · outbound

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 38

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Observation d60b4cb9-4338-4f27-9216-8e9ec03e03f5 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 39

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Observation d53a57ef-943e-40d6-960d-0a685afc059f · outbound

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

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model LLaMA: Open and Efficient Foundation Language Models

Reference 40

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Observation 0dce9f5c-e8b4-44ae-9a6e-29b10ea05f83 · outbound

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

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model CogVLM: Visual Expert for Pretrained Language Models

Reference 41

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Observation ad67a586-8aae-4887-a208-80018e3635f1 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Gemini: A Family of Highly Capable Multimodal Models

Reference 42

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Observation a3eef1c7-78af-4505-afb7-21bd7a5feb18 · outbound

This paper cites FinBen: A Holistic Financial Benchmark for Large Language Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model FinBen: A Holistic Financial Benchmark for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:53.228523Z

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:09.540747Z

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Observation 00eff4f7-128e-4133-b819-765a69dcb5f9 · outbound

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

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model BloombergGPT: A Large Language Model for Finance

Reference 45

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:09.351960Z

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Observation a748a05a-6c49-442c-bc35-d58fbea70666 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:09.121645Z

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Observation 30f8388e-75bb-49c2-82e1-d463ebb1817f · outbound

This paper cites SuperCLUE-Fin: Graded Fine-Grained Analysis of Chinese LLMs on Diverse Financial Tasks and Applications.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model SuperCLUE-Fin: Graded Fine-Grained Analysis of Chinese LLMs on Diverse Financial Tasks and Applications

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:53.242098Z

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Observation aeff2945-e016-4e20-a634-050edc55b34e · outbound

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:08.917641Z

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Observation 349e5549-2995-4e02-a402-b339a5f39de6 · outbound

This paper cites A Survey on Multimodal Large Language Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model A Survey on Multimodal Large Language Models

Reference 50

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Observation 04f40f5b-3acf-424f-bb42-02cd1ab8c72c · outbound

This paper cites mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

Reference 51

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Observation 029c60dc-ebc9-4f4e-89e6-2515e51d7565 · outbound

This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 52

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Observation 5c3d8b2e-f9ab-405a-987a-153621b6deaf · outbound

This paper cites FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 53

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Observation b360171e-abbe-429d-90bc-608033189b09 · outbound

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CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:08.738957Z

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Observation 049a7b69-8cdb-4417-b64b-f816713f2710 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 55

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Observation c1d8d8e0-5dc1-45ce-9dc0-6d8aea009da1 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 59

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Observation 84759a65-99ca-4a4d-b9b1-862ec1773716 · outbound

This paper cites 无法生成问题.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model 无法生成问题

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:08.549916Z

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Observation aec7aeac-395f-49c8-92c4-b1459be71d51 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 61

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Observation ca4fdf99-7199-481e-9fee-e8ad1f22373c · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:08.157970Z

Source-reported events for the cited work

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

Observation 266c93d3-25bc-4b4e-8411-f8ecda596f00 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:07.991977Z

Source-reported events for the cited work

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

Observation 636c02e8-b378-40fb-a48b-ca08af7419bb · outbound

This paper cites Question Verification: We first verify whether the questions posed can be entirely answered using the provided multimodal information.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Question Verification: We first verify whether the questions posed can be entirely answered using the provided multimodal information

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:07.739136Z

Source-reported events for the cited work

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

Observation 3b72b86c-972d-4583-9add-9fa65f3bea5c · outbound

This paper cites This step ensures that each option in multiple-choice questions is clear, appropri- ate, and the correct answer is distinctly marked within the options.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model This step ensures that each option in multiple-choice questions is clear, appropri- ate, and the correct answer is distinctly marked within the options

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:07.551571Z

Source-reported events for the cited work

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

Observation 1bcf9fef-287c-41e7-be71-08f6df1f403c · outbound

This paper cites This means the answers should be concise and directly highlighting the key information and ensuring the information accurately reflects the content to address the question.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model This means the answers should be concise and directly highlighting the key information and ensuring the information accurately reflects the content to address the question

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:07.385102Z

Source-reported events for the cited work

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

Observation ceee6734-2b86-4689-a1d8-f7546f368b59 · outbound

This paper cites 环比上周回落 1.2个百分点.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model 环比上周回落 1.2个百分点

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T00:41:07.168377Z

Source-reported events for the cited work

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

Observation 628d0dbc-8cb7-42c0-9ea7-201996bf034a · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 68

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T00:41:07.021989Z

Source-reported events for the cited work

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

Observation cb33186f-118b-49c5-9002-a2d04dbc5b00 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 69

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T00:41:06.880335Z

Source-reported events for the cited work

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

Observation 32f23214-5ee6-47e6-830c-cd954625dfdb · outbound

This paper cites Crude oil accounts for 33.5% of Europe's energy mix.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Crude oil accounts for 33.5% of Europe's energy mix

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:06.710788Z

Source-reported events for the cited work

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

Observation 3afcfcd8-35ee-479f-9655-b206a4d0d064 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:06.548691Z

Source-reported events for the cited work

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

Observation e4ef4498-ce48-4a94-8576-78a72e0e473a · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:06.410911Z

Source-reported events for the cited work

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

Observation 4220955e-1320-4614-8298-fe75f7d0e5e7 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:06.268580Z

Source-reported events for the cited work

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

Observation c2637817-59d3-4d9e-b0ab-14cb01868ae8 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:06.099406Z

Source-reported events for the cited work

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

Observation 233add65-c60a-45aa-a9f2-25bb77462366 · outbound

This paper cites The year-on- year growth rate of operating income in 2022 is 11.68%, showing a stable growth trend.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model The year-on- year growth rate of operating income in 2022 is 11.68%, showing a stable growth trend

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:05.918668Z

Source-reported events for the cited work

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

Observation 62954e01-6cf8-4c91-af83-cb0811c706a3 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:05.757009Z

Source-reported events for the cited work

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

Observation 17882e38-bf26-49c8-bd2b-56e4dce18294 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:05.571196Z

Source-reported events for the cited work

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

Observation 16ef32d8-75d9-48ba-b63a-3f0f367fd94d · outbound

This paper cites "Earnings Per Share.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model "Earnings Per Share

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:05.384521Z

Source-reported events for the cited work

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

Observation ce6d395a-3afe-4021-9396-0da09eb09dfe · outbound

This paper cites 股票涨停”？ (Please explain what.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model 股票涨停”？ (Please explain what

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:05.247982Z

Source-reported events for the cited work

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

Observation 9444e918-6163-48e4-9c71-9d90b150f724 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:05.092236Z

Source-reported events for the cited work

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

Observation 048c7c40-0bae-4de3-852e-82ef8a55afe0 · outbound

This paper cites "Stock price rising to the limit.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model "Stock price rising to the limit

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:04.961569Z

Source-reported events for the cited work

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

Observation 2f5dbd8d-0b53-4044-a782-e659e314974b · outbound

This paper cites 业务贯通”与“对内.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model 业务贯通”与“对内

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:04.867402Z

Source-reported events for the cited work

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

Observation 25e685e5-b310-452e-8007-2d660284163d · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:04.640176Z

Source-reported events for the cited work

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

Observation 54ad35e5-5774-4ebb-9051-4ae7a96d92db · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:02.793546Z

Source-reported events for the cited work

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

Observation 5c5d7066-ebc2-4bdd-9d55-1894dad1ec81 · outbound

This paper cites This week, the Food and Beverage sector index overall decreased by 2.33 percentage points.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model This week, the Food and Beverage sector index overall decreased by 2.33 percentage points

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:00.687212Z

Source-reported events for the cited work

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

Observation 960c903b-a878-469d-a557-93b45ce2ca79 · outbound

This paper cites 扣非每股收益”是指若不考虑所得税影响，实际分配给普通股东的每股收益。在这张表格中，“扣非每股收益.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model 扣非每股收益”是指若不考虑所得税影响，实际分配给普通股东的每股收益。在这张表格中，“扣非每股收益

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:00.124045Z

Source-reported events for the cited work

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

Observation 2e6ffa85-4bac-4e69-abd1-cc0936d6f56d · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:40:59.952045Z

Source-reported events for the cited work

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

Observation 4ef21470-ca61-4d90-b4b4-eb20930d7fe7 · outbound

This paper cites The capital flow situation for the Financial Theme ETF over the past week was an inflow, with a substantial amount of +420 million yuan.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model The capital flow situation for the Financial Theme ETF over the past week was an inflow, with a substantial amount of +420 million yuan

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:59.765696Z

Source-reported events for the cited work

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

Observation c9e256b9-471b-4915-926e-0ded5a04ba0d · outbound

This paper cites 扣非每股收益”是什么意思？ (What does.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model 扣非每股收益”是什么意思？ (What does

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:59.566957Z

Source-reported events for the cited work

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

Observation b60c5672-22df-4603-a966-4eb1f1e136a6 · outbound

This paper cites an unresolved cited work.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:40:59.404513Z

Source-reported events for the cited work

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

Observation c9327d83-3a22-413a-a2c6-d53b10f6b06c · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model FinQA: A Dataset of Numerical Reasoning over Financial Data

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:50.788342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac203ab-100b-414c-968e-71096f40a0db · outbound

This paper cites INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:51.742478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54de9421-cea9-4749-b7f6-ae489d8dfa0a · outbound

This paper cites MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:53.903009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers