BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation | Paper Citation Record

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This paper cites an unresolved cited work.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Unresolved cited work

Reference 1

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This paper cites CaLMQA: Exploring culturally specific long-form question answering across 23 languages.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation CaLMQA: Exploring culturally specific long-form question answering across 23 languages

Reference 2

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This paper cites Program Synthesis with Large Language Models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Program Synthesis with Large Language Models

Reference 3

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This paper cites Axolotl: Scalable fine-tuning framework for llms.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Axolotl: Scalable fine-tuning framework for llms

Reference 4

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This paper cites PIQA: Reasoning about physical commonsense in natural language.Proceedings of the AAAI Conference on Artificial Intelligence, 34(05):7432–7439, Apr.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation PIQA: Reasoning about physical commonsense in natural language.Proceedings of the AAAI Conference on Artificial Intelligence, 34(05):7432–7439, Apr

Reference 5

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This paper cites Evaluating Large Language Models Trained on Code.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Evaluating Large Language Models Trained on Code

Reference 6

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This paper cites Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I

Reference 7

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This paper cites CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming

Reference 8

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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This paper cites Training Verifiers to Solve Math Word Problems.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Training Verifiers to Solve Math Word Problems

Reference 10

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Observation 072cf44b-c212-4d71-b7d3-1275b99ec56c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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This paper cites SciEx: Benchmarking large language models on scientific exams with human expert grading and automatic grading.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation SciEx: Benchmarking large language models on scientific exams with human expert grading and automatic grading

Reference 12

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Observation c622398f-affd-4769-8e73-e3cb93c2f173 · outbound

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

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 13

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Observation 8c027e46-3d15-4ef3-8b6c-d084e209aa6b · outbound

This paper cites The Llama 3 Herd of Models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation The Llama 3 Herd of Models

Reference 14

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This paper cites NativQA: Multilingual Culturally-Aligned Natural Query for LLMs.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation NativQA: Multilingual Culturally-Aligned Natural Query for LLMs

Reference 15

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This paper cites Measuring massive multitask language understanding.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Measuring massive multitask language understanding

Reference 16

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Observation 5c2d87d0-10fe-4bec-862b-7d175d674e06 · outbound

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

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Measuring mathematical problem solving with the math dataset

Reference 17

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This paper cites MedQA-SWE - a clinical question & answer dataset for Swedish.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation MedQA-SWE - a clinical question & answer dataset for Swedish

Reference 18

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Observation 91da4474-d693-434e-be15-8ab7ed1a45b5 · outbound

This paper cites Liger Kernel: Efficient Triton Kernels for LLM Training.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 19

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This paper cites MoralBench: Moral Evaluation of LLMs.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation MoralBench: Moral Evaluation of LLMs

Reference 20

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This paper cites KoBBQ: Korean bias benchmark for question answering.Transactions of the Association for Computational Linguistics, 12:507–524, 2024.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation KoBBQ: Korean bias benchmark for question answering.Transactions of the Association for Computational Linguistics, 12:507–524, 2024

Reference 21

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This paper cites Dynabench: Rethinking benchmarking in NLP.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Dynabench: Rethinking benchmarking in NLP

Reference 22

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This paper cites CLIcK: A benchmark dataset of cultural and linguistic intelligence in Korean.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation CLIcK: A benchmark dataset of cultural and linguistic intelligence in Korean

Reference 23

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This paper cites Developing a pragmatic benchmark for assessing Korean legal language understanding in large language models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Developing a pragmatic benchmark for assessing Korean legal language understanding in large language models

Reference 24

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This paper cites Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap

Reference 25

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This paper cites The NarrativeQA reading comprehension challenge.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation The NarrativeQA reading comprehension challenge

Reference 26

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This paper cites KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations

Reference 27

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This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 28

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This paper cites KoSBI: A dataset for mitigating social bias risks towards safer large language model applications.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation KoSBI: A dataset for mitigating social bias risks towards safer large language model applications

Reference 29

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This paper cites KorNAT: LLM alignment benchmark for Korean social values and common knowledge.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation KorNAT: LLM alignment benchmark for Korean social values and common knowledge

Reference 30

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BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation LegalAgentBench: Evaluating LLM Agents in Legal Domain

Reference 31

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BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Unresolved cited work

Reference 32

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This paper cites TruthfulQA: Measuring how models mimic human falsehoods.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation TruthfulQA: Measuring how models mimic human falsehoods

Reference 33

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This paper cites Benchmark data repositories for better benchmarking.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Benchmark data repositories for better benchmarking

Reference 34

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BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Unresolved cited work

Reference 35

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This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 36

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This paper cites FActScore: Fine-grained atomic evaluation of factual precision in long form text generation.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation FActScore: Fine-grained atomic evaluation of factual precision in long form text generation

Reference 37

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This paper cites Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering

Reference 38

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This paper cites BLEnD: A benchmark for llms on everyday knowledge in diverse cultures and languages.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation BLEnD: A benchmark for llms on everyday knowledge in diverse cultures and languages

Reference 39

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This paper cites Extracting cultural commonsense knowledge at scale.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Extracting cultural commonsense knowledge at scale

Reference 40

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BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation MixEval: Deriving wisdom of the crowd from LLM benchmark mixtures

Reference 41

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This paper cites Chatterji, Faisal Ladhak, and Tatsunori Hashimoto.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Chatterji, Faisal Ladhak, and Tatsunori Hashimoto

Reference 42

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This paper cites BBQ: A hand-built bias benchmark for question answering.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation BBQ: A hand-built bias benchmark for question answering

Reference 43

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This paper cites Survey of Cultural Awareness in Language Models: Text and Beyond.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Survey of Cultural Awareness in Language Models: Text and Beyond

Reference 44

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This paper cites Zero: Memory optimiza- tions toward training trillion parameter models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Zero: Memory optimiza- tions toward training trillion parameter models

Reference 45

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This paper cites NormAd: A framework for measuring the cultural adaptability of large language models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation NormAd: A framework for measuring the cultural adaptability of large language models

Reference 46

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This paper cites DiversityMedQA: A benchmark for assessing demographic biases in medical diagnosis using large language models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation DiversityMedQA: A benchmark for assessing demographic biases in medical diagnosis using large language models

Reference 47

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BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Unresolved cited work

Reference 48

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This paper cites Kochenderfer.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Kochenderfer

Reference 49

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Observation 32256750-95a7-49dc-bd84-fbcc2c0f5f5e · outbound

This paper cites WinoGrande: an adversarial winograd schema challenge at scale.Commun.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation WinoGrande: an adversarial winograd schema challenge at scale.Commun

Reference 50

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Observation cc6416ba-d929-4711-95aa-cd19b259b7d7 · outbound

This paper cites Social IQa: Commonsense reasoning about social interactions.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Social IQa: Commonsense reasoning about social interactions

Reference 51

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This paper cites Benchmarks as microscopes: A call for model metrology.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Benchmarks as microscopes: A call for model metrology

Reference 52

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Observation 7db6d897-08bd-47d6-854d-be04c1ce887e · outbound

This paper cites Multi-fact: Assessing factuality of multilingual llms using factscore, 2024.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Multi-fact: Assessing factuality of multilingual llms using factscore, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:21.694305Z

Source-reported events for the cited work

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

Observation 1d3478be-d6f6-4cab-b9db-7783e1a7ad1d · outbound

This paper cites YourBench: Easy Custom Evaluation Sets for Everyone.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation YourBench: Easy Custom Evaluation Sets for Everyone

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:15.321570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac95e546-01e9-4a9e-b94c-0804e1c866ba · outbound

This paper cites CultureBank: An online community-driven knowledge base towards culturally aware language technologies.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation CultureBank: An online community-driven knowledge base towards culturally aware language technologies

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:21.384899Z

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

Observation 2632e0cc-e035-437f-9565-3dfdb648bb34 · outbound

This paper cites Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:15.542569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e37416-51ce-415c-9642-e621f807dab6 · outbound

This paper cites KRX bench: Automating financial benchmark creation via large language models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation KRX bench: Automating financial benchmark creation via large language models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:21.170385Z

Source-reported events for the cited work

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

Observation ad0d7d1a-0d36-4340-9651-9a858d447735 · outbound

This paper cites Beyond Classification: Financial Reasoning in State-of-the-Art Language Models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Beyond Classification: Financial Reasoning in State-of-the-Art Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:15.739015Z

Source-reported events for the cited work

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Observation 3201edf1-4f3e-4d99-a74a-b41de35e9f1c · outbound

This paper cites Multi-step reasoning in Korean and the emergent mirage.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Multi-step reasoning in Korean and the emergent mirage

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.945080Z

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

Observation 624cdaba-8ce7-4ba1-b8f4-cfe3cd287df1 · outbound

This paper cites KMMLU: Measuring massive multitask language understanding in Korean.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation KMMLU: Measuring massive multitask language understanding in Korean

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.774825Z

Source-reported events for the cited work

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

Observation 062acff7-3666-48da-83a3-d3376048856b · outbound

This paper cites HAE-RAE bench: Evaluation of Korean knowledge in language models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation HAE-RAE bench: Evaluation of Korean knowledge in language models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.551437Z

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

Observation 51cdb724-54f3-47c5-9fc7-280e106df693 · outbound

This paper cites Challenging BIG-bench tasks and whether chain-of-thought can solve them.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Challenging BIG-bench tasks and whether chain-of-thought can solve them

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.366551Z

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

Observation f7a0cb8e-86be-4b03-ac03-4c9eb57a57ad · outbound

This paper cites MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:16.178310Z

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Unavailable: canonical work link unavailable.

Observation 432bf232-706d-4036-b311-207966c0a5a0 · outbound

This paper cites CommonsenseQA: A question answering challenge targeting commonsense knowledge.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation CommonsenseQA: A question answering challenge targeting commonsense knowledge

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:16.285247Z

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Unavailable: canonical work link unavailable.

Observation 00d892b9-90c2-4f7b-a54b-7846b57cd4c5 · outbound

This paper cites Gemma 3 Technical Report.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Gemma 3 Technical Report

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:16.366173Z

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Observation 4b644f29-8f98-4946-a501-c1d937aec4bd · outbound

This paper cites Benchmark suites instead of leaderboards for evaluating AI fairness.Patterns, 5(11):101080, 2024.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Benchmark suites instead of leaderboards for evaluating AI fairness.Patterns, 5(11):101080, 2024

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.206356Z

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

Observation 6098c32e-3b67-48eb-92a2-d20244f6f03a · outbound

This paper cites SeaEval for multilingual foundation models: From cross-lingual alignment to cultural reasoning.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation SeaEval for multilingual foundation models: From cross-lingual alignment to cultural reasoning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.993735Z

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

Observation 1fd0d21e-54f8-4e60-83f6-9b48a90b3a76 · outbound

This paper cites KULTURE Bench: A Benchmark for Assessing Language Model in Korean Cultural Context.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation KULTURE Bench: A Benchmark for Assessing Language Model in Korean Cultural Context

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:16.759287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49db165a-1c43-4554-97df-544abd4e6381 · outbound

This paper cites Super-NaturalInstructions: Generalization via declarative instructions on 1600+ NLP tasks.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Super-NaturalInstructions: Generalization via declarative instructions on 1600+ NLP tasks

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.840752Z

Source-reported events for the cited work

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

Observation af13bd18-0319-4209-a00e-594f1aa283f0 · outbound

This paper cites MMLU-Pro: A more robust and challenging multi-task language understanding benchmark.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation MMLU-Pro: A more robust and challenging multi-task language understanding benchmark

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.656148Z

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Observation f44943f3-cb76-4bfa-aeeb-bf86bf08a589 · outbound

This paper cites Toward an Evaluation Science for Generative AI Systems.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Toward an Evaluation Science for Generative AI Systems

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:17.035975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3199245-1f8c-4d78-958b-bed6e0247619 · outbound

This paper cites Qwen3 Technical Report.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Qwen3 Technical Report

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:17.152295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d4076c-8373-42b7-bbb3-a99321d88f7a · outbound

This paper cites Qwen2.5 Technical Report.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Qwen2.5 Technical Report

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:17.279546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0588e0-0c37-4bd2-95fb-f1c7e168d36e · outbound

This paper cites Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:17.369531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc172362-c9b7-4ef7-9b97-e23956a44a2b · outbound

This paper cites FLASK: Fine-grained language model eval- uation based on alignment skill sets.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation FLASK: Fine-grained language model eval- uation based on alignment skill sets

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.440683Z

Source-reported events for the cited work

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

Observation 7da61289-4ca5-42d3-86b8-83542a2efdc6 · outbound

This paper cites GeoM- LAMA: Geo-diverse commonsense probing on multilingual pre-trained language models.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation GeoM- LAMA: Geo-diverse commonsense probing on multilingual pre-trained language models

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.253520Z

Source-reported events for the cited work

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

Observation 725c2996-fa56-420c-b4f4-d17e36ae7af6 · outbound

This paper cites an unresolved cited work.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:17.614168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad13bf2f-b95b-429a-96e4-7f7b91ef36e0 · outbound

This paper cites Maruf Hossain, Guang- Jie Ren, Kate Soule, Yifan Mai, and Yada Zhu.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Maruf Hossain, Guang- Jie Ren, Kate Soule, Yifan Mai, and Yada Zhu

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.085125Z

Source-reported events for the cited work

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

Observation 29a84389-3535-41e3-85c8-51ccf4318ed9 · outbound

This paper cites Task me anything.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Task me anything

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.975615Z

Source-reported events for the cited work

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

Observation 86d268ff-e827-4c90-a2e4-463393160202 · outbound

This paper cites Users can interactively explore the overall data distribution they are interested in.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Users can interactively explore the overall data distribution they are interested in

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.847818Z

Source-reported events for the cited work

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

Observation e0de9c67-b6cb-47e7-acf9-528c7ec99ed7 · outbound

This paper cites By reviewing samples, users can verify whether the dataset matches their needs and explore datasets suitable for their purposes.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation By reviewing samples, users can verify whether the dataset matches their needs and explore datasets suitable for their purposes

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.739965Z

Source-reported events for the cited work

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

Observation 7f2adf41-922e-4c81-9f4c-6dc5c22c83cd · outbound

This paper cites Is the Earth flat?.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Is the Earth flat?

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.606763Z

Source-reported events for the cited work

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

Observation 88c7fafc-7f12-49be-82bc-bc53c5530e79 · outbound

This paper cites an unresolved cited work.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:16.678445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers