Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs | Paper Citation Record

Observation 267a49f6-fb9a-4a7f-8ff7-54ad008f1d7b · outbound

This paper cites The Falcon Series of Open Language Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs The Falcon Series of Open Language Models

Reference 1

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This paper cites The silicon ceiling: Auditing gpt’s race and gender biases in hiring.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs The silicon ceiling: Auditing gpt’s race and gender biases in hiring

Reference 2

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This paper cites V., and Pan, R.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs V., and Pan, R

Reference 3

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This paper cites G., Bradley, H., O'Brien, K., Hallahan, E., Khan, M.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs G., Bradley, H., O'Brien, K., Hallahan, E., Khan, M

Reference 4

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This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Reference 5

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This paper cites L., Barocas, S., Daum \'e III, H., and Wallach, H.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs L., Barocas, S., Daum \'e III, H., and Wallach, H

Reference 6

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This paper cites On the Opportunities and Risks of Foundation Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs On the Opportunities and Risks of Foundation Models

Reference 7

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Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Unresolved cited work

Reference 8

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Observation 2d2c9879-b12e-406b-95fe-d252144209f3 · outbound

This paper cites Fairness in large language models: A taxonomic survey.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Fairness in large language models: A taxonomic survey

Reference 9

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Observation 44a6f248-865d-4c73-8c3c-e7ab85da8878 · outbound

This paper cites Rainproof: An umbrella to shield text generators from out-of-distribution data.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Rainproof: An umbrella to shield text generators from out-of-distribution data

Reference 10

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This paper cites Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model, 2024.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model, 2024

Reference 11

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This paper cites Bold: Dataset and metrics for measuring biases in open-ended language generation.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Bold: Dataset and metrics for measuring biases in open-ended language generation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.801829Z

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Observation a16b8b19-898a-4a4e-9333-0e75f14cea62 · outbound

This paper cites Shifting attention to relevance: Towards the uncertainty estimation of large language models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Shifting attention to relevance: Towards the uncertainty estimation of large language models

Reference 13

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This paper cites The Llama 3 Herd of Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs The Llama 3 Herd of Models

Reference 14

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This paper cites Is your classifier actually biased? measuring fairness under uncertainty with bernstein bounds.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Is your classifier actually biased? measuring fairness under uncertainty with bernstein bounds

Reference 15

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This paper cites an unresolved cited work.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Unresolved cited work

Reference 16

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Observation a794e728-b1be-47e0-8d0c-00adb3cca5db · outbound

This paper cites Lm-polygraph: Uncertainty estimation for language models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Lm-polygraph: Uncertainty estimation for language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.221006Z

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This paper cites L., Waseem, Z., and Tsvetkov, Y.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs L., Waseem, Z., and Tsvetkov, Y

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.086920Z

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This paper cites Unsupervised quality estimation for neural machine translation.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Unsupervised quality estimation for neural machine translation

Reference 19

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This paper cites Open llm leaderboard v2, 2024.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Open llm leaderboard v2, 2024

Reference 20

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This paper cites and Ghahramani, Z.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Ghahramani, Z

Reference 21

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This paper cites O., Rossi, R.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs O., Rossi, R

Reference 22

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This paper cites an unresolved cited work.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Unresolved cited work

Reference 23

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Observation 6c0d3603-88ef-4ded-8690-bb0e48704e43 · outbound

This paper cites Uncertainty-guided optimization on large language model search trees.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Uncertainty-guided optimization on large language model search trees

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:15.975896Z

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This paper cites Generative AI for Synthetic Data Generation: Methods, Challenges and the Future.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Reference 25

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This paper cites Bias in Large Language Models: Origin, Evaluation, and Mitigation.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Bias in Large Language Models: Origin, Evaluation, and Mitigation

Reference 26

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This paper cites Equality of opportunity in supervised learning.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Equality of opportunity in supervised learning

Reference 27

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This paper cites Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:15.726090Z

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This paper cites and Gimpel, K.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Gimpel, K

Reference 29

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This paper cites Measuring massive multitask language understanding.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Measuring massive multitask language understanding

Reference 30

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This paper cites Uncertainty in Natural Language Processing: Sources, Quantification, and Applications.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Uncertainty in Natural Language Processing: Sources, Quantification, and Applications

Reference 31

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This paper cites Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Reference 32

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This paper cites L., Bahl, L.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs L., Bahl, L

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:15.611090Z

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This paper cites Mistral 7B.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Mistral 7B

Reference 34

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This paper cites Mixtral of Experts.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Mixtral of Experts

Reference 35

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This paper cites and Martin, J.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Martin, J

Reference 36

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This paper cites Language Models (Mostly) Know What They Know.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Language Models (Mostly) Know What They Know

Reference 37

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This paper cites Uncertainty-aware predictive modeling for fair data-driven decisions.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Uncertainty-aware predictive modeling for fair data-driven decisions

Reference 38

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This paper cites and Gal, Y.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Gal, Y

Reference 39

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This paper cites Gender bias and stereotypes in large language models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Gender bias and stereotypes in large language models

Reference 40

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This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation

Reference 41

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This paper cites Uncertainty estimation for debiased models: Does fairness hurt reliability? In Park, J.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Uncertainty estimation for debiased models: Does fairness hurt reliability? In Park, J

Reference 42

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This paper cites Uncertainty-based Fairness Measures.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Uncertainty-based Fairness Measures

Reference 43

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Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Unresolved cited work

Reference 44

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Observation f14adab0-3a8c-4588-b257-f1976c23c350 · outbound

This paper cites End-to-end neural coreference resolution.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs End-to-end neural coreference resolution

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:14.769524Z

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This paper cites The winograd schema challenge.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs The winograd schema challenge

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:14.540624Z

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This paper cites Collecting a large-scale gender bias dataset for coreference resolution and machine translation.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Collecting a large-scale gender bias dataset for coreference resolution and machine translation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:14.275121Z

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This paper cites A Survey on Fairness in Large Language Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs A Survey on Fairness in Large Language Models

Reference 48

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This paper cites Holistic Evaluation of Language Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Holistic Evaluation of Language Models

Reference 49

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Observation 5c37eec7-22df-448d-a84f-8018da31cfc8 · outbound

This paper cites LLM360: Towards Fully Transparent Open-Source LLMs.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs LLM360: Towards Fully Transparent Open-Source LLMs

Reference 50

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Observation b8060b6a-96bb-4117-b0b6-c8d9a0695d7d · outbound

This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 51

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This paper cites Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 52

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This paper cites Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models

Reference 53

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This paper cites A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:06.883827Z

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Observation 986efc7f-cdd7-48e2-b41a-8ef9f8391113 · outbound

This paper cites and Gales, M.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Gales, M

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:14.072206Z

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 bc03394f-a456-45c1-86b3-ac74de6fbd20 · outbound

This paper cites and Gales, M.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Gales, M

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:13.866293Z

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 7aa93660-61a2-4b76-bf59-ea5c3b3b8699 · outbound

This paper cites Evaluating the fairness of deep learning uncertainty estimates in medical image analysis.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Evaluating the fairness of deep learning uncertainty estimates in medical image analysis

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:13.603256Z

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 ff0b5150-4447-45d4-810e-feb529786347 · outbound

This paper cites Generating bilingual example sentences with large language models as lexicography assistants.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Generating bilingual example sentences with large language models as lexicography assistants

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:44:09.604411Z

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 0b83949e-8187-4a92-b7ee-916b7b228c06 · outbound

This paper cites Hello gpt-4o.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Hello gpt-4o

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:13.448978Z

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 a7ccdea4-cad3-47df-94e5-c2d781ab555f · outbound

This paper cites and Belinkov, Y.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Belinkov, Y

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:13.246142Z

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 080825fe-b0c6-4077-b4fd-eae37930262f · outbound

This paper cites and Dadu, T.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs and Dadu, T

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:13.070066Z

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 a1cc53cf-7381-44da-9b27-7aabd0d6d0f2 · outbound

This paper cites M., and Bowman, S.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs M., and Bowman, S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:12.923793Z

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 7abc9686-1d84-46db-8ca5-a19c3f50b5ce · outbound

This paper cites Fairness dynamics during training.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Fairness dynamics during training

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:12.702347Z

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 0eceaf29-1f90-421e-bc81-9d8525091801 · outbound

This paper cites an unresolved cited work.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:44:12.519639Z

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 4e2d420a-72ca-49aa-8d5c-57daf073d835 · outbound

This paper cites Gender bias in coreference resolution.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Gender bias in coreference resolution

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:12.383043Z

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 958ebc35-214a-45d1-a006-9d662d28e1be · outbound

This paper cites On a spurious interaction between uncertainty scores and answer evaluation metrics in generative qa tasks.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs On a spurious interaction between uncertainty scores and answer evaluation metrics in generative qa tasks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:12.194166Z

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 7712e29a-8602-41ff-b653-2b011e338e13 · outbound

This paper cites Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:07.914440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84df99f1-55ea-4914-b97a-8800a882a66d · outbound

This paper cites Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with llms.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with llms

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:12.045890Z

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 ecb50084-0ea1-4800-a013-11d06d04ede0 · outbound

This paper cites Fairness through aleatoric uncertainty.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Fairness through aleatoric uncertainty

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:11.905507Z

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 065c93eb-75d1-4fd3-b75f-094b352369ae · outbound

This paper cites Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:08.172414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9325c48-91b4-46cf-9e20-23c2f8fd48d7 · outbound

This paper cites Neutral rewriter: A rule-based and neural approach to automatic rewriting into gender-neutral alternatives.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Neutral rewriter: A rule-based and neural approach to automatic rewriting into gender-neutral alternatives

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:11.733827Z

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 780a6c53-3f1a-4dae-a695-7afa34d87621 · outbound

This paper cites Benchmarking uncertainty quantification methods for large language models with lm-polygraph.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Benchmarking uncertainty quantification methods for large language models with lm-polygraph

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:11.580721Z

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 d9244cb2-61cf-4c26-bece-8548ea4c3119 · outbound

This paper cites Algorithmic learning in a random world.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Algorithmic learning in a random world

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:11.458730Z

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 f90a1aa3-3dfb-4b9a-8d82-db6904012563 · outbound

This paper cites CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:08.529925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ac7cd2-549b-4096-b7e3-431e89c19d08 · outbound

This paper cites Mind the GAP : A balanced corpus of gendered ambiguous pronouns.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Mind the GAP : A balanced corpus of gendered ambiguous pronouns

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:11.374632Z

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 a658f896-e97f-4553-9944-6106e59085d4 · outbound

This paper cites Qwen2 Technical Report.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Qwen2 Technical Report

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:08.738284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3c58a4-7fcf-4f83-828f-e04a3ec4b2f7 · outbound

This paper cites Assessing adversarial robustness of large language models: An empirical study.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Assessing adversarial robustness of large language models: An empirical study

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:11.240768Z

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 d80b6f44-9edc-4ea3-83ec-098c3230df77 · outbound

This paper cites Benchmarking LLMs via Uncertainty Quantification.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Benchmarking LLMs via Uncertainty Quantification

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:08.930215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11d63f38-699a-42a7-9fe3-16447cb6de7c · outbound

This paper cites Learning uncertainty for unknown domains with zero-target-assumption.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Learning uncertainty for unknown domains with zero-target-assumption

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:11.069281Z

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 415ad7f8-1cf5-475d-a7ca-2a794fbac504 · outbound

This paper cites Gender bias in coreference resolution: Evaluation and debiasing methods.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Gender bias in coreference resolution: Evaluation and debiasing methods

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:10.943822Z

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 c6407c36-553b-4e56-8f28-f55ec6302ac6 · outbound

This paper cites D., Ren, X., and Sap, M.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs D., Ren, X., and Sap, M

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:10.797775Z

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 d2d9b7fe-f93c-4b89-9a1e-e1b28aea42d0 · outbound

This paper cites P ro SA : Assessing and understanding the prompt sensitivity of LLM s.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs P ro SA : Assessing and understanding the prompt sensitivity of LLM s

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:10.671673Z

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 12102b32-ec44-47e2-a884-42cbca038b9b · outbound

This paper cites write newline.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs write newline

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:09.237881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers