GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? | Paper Citation Record

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This paper cites write newline.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? write newline

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Unresolved cited work

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? a is b" fail to learn

Reference 4

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This paper cites Applying the rasch model: fundamental measurement in the human sciences, 2007.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Applying the rasch model: fundamental measurement in the human sciences, 2007

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Boone and Amity Noltemeyer

Reference 6

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Internlm2 technical report, 2024

Reference 7

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

Reference 8

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This paper cites See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses

Reference 9

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Flash A ttention-2: Faster attention with better parallelism and work partitioning

Reference 10

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Large Language Models of Code Fail at Completing Code with Potential Bugs

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? The Llama 3 Herd of Models

Reference 12

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Chatglm: A family of large language models from glm-130b to glm-4 all tools, 2024

Reference 13

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Observation ea5a6b41-6cc2-4f67-9e9c-6d29285933cb · outbound

This paper cites Measuring massive multitask language understanding.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Measuring massive multitask language understanding

Reference 14

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This paper cites Measuring massive multitask language understanding, January 2021 b.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Measuring massive multitask language understanding, January 2021 b

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This paper cites Measuring mathematical problem solving with the math dataset.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Measuring mathematical problem solving with the math dataset

Reference 16

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models

Reference 17

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This paper cites New Ontology and Knowledge Graph for University Curriculum Recommendation.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? New Ontology and Knowledge Graph for University Curriculum Recommendation

Reference 18

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This paper cites Large language models and simple, stupid bugs.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Large language models and simple, stupid bugs

Reference 19

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This paper cites FigureQA : An annotated figure dataset for visual reasoning, February 2018.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? FigureQA : An annotated figure dataset for visual reasoning, February 2018

Reference 20

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This paper cites A diagram is worth a dozen images, March 2016.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? A diagram is worth a dozen images, March 2016

Reference 21

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This paper cites Rasch Measurement: Applications in Quantitative Educational Research, volume 1 of Education.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Rasch Measurement: Applications in Quantitative Educational Research, volume 1 of Education

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Cmmlu: Measuring massive multitask language understanding in chinese, 2023

Reference 23

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? CMMLU: measuring massive multitask language understanding in chinese

Reference 24

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Truthfulqa: Measuring how models mimic human falsehoods

Reference 25

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? MMBench : Is your multi-modal model an all-around player?, August 2024

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This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering, October 2022 a.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Learn to explain: Multimodal reasoning via thought chains for science question answering, October 2022 a

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This paper cites IconQA : A new benchmark for abstract diagram understanding and visual language reasoning, July 2022 b.

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? IconQA : A new benchmark for abstract diagram understanding and visual language reasoning, July 2022 b

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 29

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? OK-VQA : A visual question answering benchmark requiring external knowledge, September 2019

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Mistral Large 2: Designed for Single-Node Inference with Long-Context

Reference 31

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Training on the Benchmark Is Not All You Need

Reference 32

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? GPT-4 Technical Report

Reference 33

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Reference 34

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Probabilistic models for some intelligence and attainment tests

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Winogrande: An adversarial winograd schema challenge at scale

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models

Reference 37

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Assessing programming task difficulty for efficient evaluation of large language models

Reference 38

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Internlm: A multilingual language model with progressively enhanced capabilities

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Mmlu-pro: A more robust and challenging multi-task language understanding benchmark, 2024

Reference 40

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks

Reference 41

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Qwen2 Technical Report

Reference 42

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Hellaswag: Can a machine really finish your sentence? In Anna Korhonen, David R

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Evaluating the Performance of Large Language Models on GAOKAO Benchmark

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Can llm replace stack overflow? a study on robustness and reliability of large language model code generation

Reference 46

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 47

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Larger and more instructable language models become less reliable

Reference 48

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Gaokao-mm: A chinese human-level benchmark for multimodal models evaluation, 2024

Reference 49

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? @esa (Ref

Reference 50

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Unresolved cited work

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? Unresolved cited work

Reference 52

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? , " * write output.state after.block = add.period write

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GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? write newline

Reference 54

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