Optimal Transport for LLM Reward Modeling from Noisy Preference | Paper Citation Record

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This paper cites Instance-dependent label-noise learning with manifold-regularized transition matrix estimation.

Optimal Transport for LLM Reward Modeling from Noisy Preference Instance-dependent label-noise learning with manifold-regularized transition matrix estimation

Reference 1

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Observation 716b047e-b429-4f28-98f4-31adf64942d9 · outbound

This paper cites Class-dependent label-noise learning with cycle-consistency regularization.

Optimal Transport for LLM Reward Modeling from Noisy Preference Class-dependent label-noise learning with cycle-consistency regularization

Reference 2

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Observation d9940485-070f-4aa2-bed8-d87a54cd8fda · outbound

This paper cites Joint distribution optimal transportation for domain adaptation.

Optimal Transport for LLM Reward Modeling from Noisy Preference Joint distribution optimal transportation for domain adaptation

Reference 4

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Observation 85b27b5b-19ee-4a38-9ea4-7a0dc05c3aa1 · outbound

This paper cites Unbalanced minibatch optimal transport; applications to domain adaptation.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unbalanced minibatch optimal transport; applications to domain adaptation

Reference 8

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Observation fa7553cc-59d8-43ab-8147-44c1e1aa482d · outbound

This paper cites A survey on llm-as-a-judge.

Optimal Transport for LLM Reward Modeling from Noisy Preference A survey on llm-as-a-judge

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.304146Z

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Observation c2d6b223-8d44-44e6-be33-6b0fbc8fd9de · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.

Optimal Transport for LLM Reward Modeling from Noisy Preference Deepseek-r1 incentivizes reasoning in llms through reinforcement learning

Reference 12

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Observation 0193d076-c9a8-4df1-a938-47b981dee321 · outbound

This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels.

Optimal Transport for LLM Reward Modeling from Noisy Preference Co-teaching: Robust training of deep neural networks with extremely noisy labels

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.300802Z

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This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels.

Optimal Transport for LLM Reward Modeling from Noisy Preference Co-teaching: Robust training of deep neural networks with extremely noisy labels

Reference 14

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Observation 30c19581-d20c-474f-901e-13588a611e06 · outbound

This paper cites A survey on the role of crowds in combating online misinformation: Annotators, evaluators, and creators.

Optimal Transport for LLM Reward Modeling from Noisy Preference A survey on the role of crowds in combating online misinformation: Annotators, evaluators, and creators

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.347194Z

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Observation 25492405-b697-45e2-b27a-2c3799a2250f · outbound

This paper cites A., Zhou, J., Wang, K., Li, B., et al.

Optimal Transport for LLM Reward Modeling from Noisy Preference A., Zhou, J., Wang, K., Li, B., et al

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.576992Z

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Observation 021cd081-7240-4594-9111-c850c04da875 · outbound

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 17

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Observation 932e336c-b758-4072-ac7f-e85e7e504dbc · outbound

This paper cites Instance-dependent label distribution estimation for learning with label noise.

Optimal Transport for LLM Reward Modeling from Noisy Preference Instance-dependent label distribution estimation for learning with label noise

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.241869Z

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Observation 14365cfe-8f18-4d6b-92cb-2cd7cc8861cb · outbound

This paper cites Learning the latent causal structure for modeling label noise.

Optimal Transport for LLM Reward Modeling from Noisy Preference Learning the latent causal structure for modeling label noise

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.342816Z

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Observation f96cd13e-6039-4355-90e4-705aa9cc11a5 · outbound

This paper cites Curvature-balanced feature manifold learning for long-tailed classification.

Optimal Transport for LLM Reward Modeling from Noisy Preference Curvature-balanced feature manifold learning for long-tailed classification

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.398151Z

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Observation 70140c73-b50f-4cb7-ad90-98526e58a6b2 · outbound

This paper cites Inform: Mitigating reward hacking in rlhf via information-theoretic reward modeling.

Optimal Transport for LLM Reward Modeling from Noisy Preference Inform: Mitigating reward hacking in rlhf via information-theoretic reward modeling

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.263732Z

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Observation f3fc44e2-fba2-4481-ae1e-4045ff79a575 · outbound

This paper cites Confident learning: Estimating uncertainty in dataset labels.

Optimal Transport for LLM Reward Modeling from Noisy Preference Confident learning: Estimating uncertainty in dataset labels

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.508583Z

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Observation 5bb3f878-5a10-4039-92e8-749572f89f0a · outbound

This paper cites Training language models to follow instructions with human feedback.

Optimal Transport for LLM Reward Modeling from Noisy Preference Training language models to follow instructions with human feedback

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.323448Z

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Observation 27480ec9-280c-4101-b943-684f319a9ba6 · outbound

This paper cites Making deep neural networks robust to label noise: A loss correction approach.

Optimal Transport for LLM Reward Modeling from Noisy Preference Making deep neural networks robust to label noise: A loss correction approach

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.512604Z

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Observation 82495d38-5e57-4ed7-9e81-8bf9fc70735b · outbound

This paper cites Qwen2.5 Technical Report.

Optimal Transport for LLM Reward Modeling from Noisy Preference Qwen2.5 Technical Report

Reference 28

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Observation 90cbcea2-1e7a-42f7-b75a-5a895857fa30 · outbound

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 30

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This paper cites do anything now.

Optimal Transport for LLM Reward Modeling from Noisy Preference do anything now

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.420826Z

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Observation 49b62e6f-fb1c-46fa-8eba-7434a6eb8367 · outbound

This paper cites Defining and characterizing reward gaming.

Optimal Transport for LLM Reward Modeling from Noisy Preference Defining and characterizing reward gaming

Reference 32

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Observation ef53027c-9cae-418d-a0b4-faa0060be3ad · outbound

This paper cites Learning from noisy labels with deep neural networks: A survey.

Optimal Transport for LLM Reward Modeling from Noisy Preference Learning from noisy labels with deep neural networks: A survey

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.457995Z

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Observation 690463d6-b488-4dcb-9c89-913e6026e1eb · outbound

This paper cites Optimal transport for treatment effect estimation.

Optimal Transport for LLM Reward Modeling from Noisy Preference Optimal transport for treatment effect estimation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.380462Z

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Observation bf09b776-103a-48e0-a424-24f1a5736e8d · outbound

This paper cites Unbiased recommender learning from implicit feedback via weakly supervised learning.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unbiased recommender learning from implicit feedback via weakly supervised learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.551737Z

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Observation fa9b7335-b909-4624-a50e-1e7858217daf · outbound

This paper cites Optimal transport for time series imputation.

Optimal Transport for LLM Reward Modeling from Noisy Preference Optimal transport for time series imputation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.547992Z

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Observation 1cde68ed-2483-4110-a0c7-045269745308 · outbound

This paper cites \ epsilon\ -softmax: Approximating one-hot vectors for mitigating label noise.

Optimal Transport for LLM Reward Modeling from Noisy Preference \ epsilon\ -softmax: Approximating one-hot vectors for mitigating label noise

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.427914Z

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Observation 39429f42-4a47-4f38-bcef-e245d0a08f5d · outbound

This paper cites N., Egert, D., Delalleau, O., Scowcroft, J., Kant, N., Swope, A., et al.

Optimal Transport for LLM Reward Modeling from Noisy Preference N., Egert, D., Delalleau, O., Scowcroft, J., Kant, N., Swope, A., et al

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.504367Z

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Observation a8c1ba81-177c-49cb-bdd6-607068a1a0f9 · outbound

This paper cites To smooth or not? when label smoothing meets noisy labels.

Optimal Transport for LLM Reward Modeling from Noisy Preference To smooth or not? when label smoothing meets noisy labels

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.835954Z

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Observation 69762179-59c2-44c4-aa1c-274b792453c2 · outbound

This paper cites Revisiting consistency regularization for deep partial label learning.

Optimal Transport for LLM Reward Modeling from Noisy Preference Revisiting consistency regularization for deep partial label learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.820569Z

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Observation 5cc417ea-5eab-4237-8d06-971eb3b09cbc · outbound

This paper cites Robust early-learning: Hindering the memorization of noisy labels.

Optimal Transport for LLM Reward Modeling from Noisy Preference Robust early-learning: Hindering the memorization of noisy labels

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.995766Z

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Observation 12a8bc5e-ccbc-4779-a551-60bf578c2a5e · outbound

This paper cites Sample selection with uncertainty of losses for learning with noisy labels.

Optimal Transport for LLM Reward Modeling from Noisy Preference Sample selection with uncertainty of losses for learning with noisy labels

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.079037Z

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Observation c3983a88-8982-4078-8051-652613b7ad61 · outbound

This paper cites A holistic view of label noise transition matrix in deep learning and beyond.

Optimal Transport for LLM Reward Modeling from Noisy Preference A holistic view of label noise transition matrix in deep learning and beyond

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.037225Z

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

Observation 783f012d-6b18-4a92-8536-3b8929c8f932 · outbound

This paper cites Early stopping against label noise without validation data.

Optimal Transport for LLM Reward Modeling from Noisy Preference Early stopping against label noise without validation data

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.044968Z

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Observation 16433f45-961f-42f4-b125-9730340138a5 · outbound

This paper cites Badlabel: A robust perspective on evaluating and enhancing label-noise learning.

Optimal Transport for LLM Reward Modeling from Noisy Preference Badlabel: A robust perspective on evaluating and enhancing label-noise learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.032882Z

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Observation de4d29f7-75a9-468d-a2ab-ff6d8f22b04b · outbound

This paper cites Clusterability as an alternative to anchor points when learning with noisy labels.

Optimal Transport for LLM Reward Modeling from Noisy Preference Clusterability as an alternative to anchor points when learning with noisy labels

Reference 48

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Observation 53f47d05-e2f2-4e73-966f-85055a989313 · outbound

This paper cites 2025 , volume=.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2025 , volume=

Reference 49

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Optimal Transport for LLM Reward Modeling from Noisy Preference 2025 , volume=

Reference 50

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 51

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 52

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Observation 79abf030-071d-4de9-978e-8cd025634896 · outbound

This paper cites 2024 , volume =.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2024 , volume =

Reference 53

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 54

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Reference 55

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Reference 56

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Reference 57

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Reference 58

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Reference 59

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 60

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Optimal Transport for LLM Reward Modeling from Noisy Preference 2025 , volume=

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.846998Z

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Observation 8b480ca6-1e0b-4786-821c-2a73c0d39e50 · outbound

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 62

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 63

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

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Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 65

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Observation 1d84dee6-411c-4169-a503-c4bd1d1c856d · outbound

This paper cites 2024 , volume =.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2024 , volume =

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.253024Z

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 a984db0a-ca60-4e7b-83f7-c55e87ffe28d · outbound

This paper cites 2024 , volume =.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2024 , volume =

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.028450Z

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 c7c2f511-4439-475d-b261-a51e536cf7a7 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.002258Z

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 de5cd398-977a-4010-a6ee-137bb4bb6002 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.916183Z

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 df470820-0467-42c0-97d2-d6763ce943e3 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.843374Z

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 ced60ec1-238b-4339-adfa-26a29ed93847 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.789951Z

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 885f2bf2-4fa3-4c96-a345-b5c29f4e65d8 · outbound

This paper cites 2024 , volume =.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2024 , volume =

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.793362Z

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 ca53b5cf-d86f-4616-af00-01da32764afc · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.801333Z

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 d5c42960-7e74-441d-9c8b-be4bb808475b · outbound

This paper cites 2024 , pages =.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2024 , pages =

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.284773Z

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 c41fb3ac-6c2a-4a85-bf64-4592d62dccbb · outbound

This paper cites Kingma and Jimmy Ba , title =.

Optimal Transport for LLM Reward Modeling from Noisy Preference Kingma and Jimmy Ba , title =

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.778525Z

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 530ee2fa-0f4a-49a9-b39b-870cde83f9be · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.782508Z

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 5d80be32-47ee-40ed-bae9-2b705de689ed · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.773768Z

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 997b70e7-9f1c-4fdb-b3d5-23cd2570227c · outbound

This paper cites Nature , volume=.

Optimal Transport for LLM Reward Modeling from Noisy Preference Nature , volume=

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.786286Z

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 93fcd148-4025-4e2a-83b1-17e84581e232 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Optimal Transport for LLM Reward Modeling from Noisy Preference Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 79

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T18:46:07.329885Z

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 10086121-81b0-47ef-8ffa-25a83d342615 · outbound

This paper cites GPT-4 Technical Report.

Optimal Transport for LLM Reward Modeling from Noisy Preference GPT-4 Technical Report

Reference 80

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T18:46:07.424698Z

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 265ee2aa-1c2e-42f2-9cf6-894082911c35 · outbound

This paper cites Advances in neural information processing systems , volume=.

Optimal Transport for LLM Reward Modeling from Noisy Preference Advances in neural information processing systems , volume=

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.797496Z

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 58f48342-85da-445e-b09a-cfcf4d9189fc · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

Optimal Transport for LLM Reward Modeling from Noisy Preference Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.245235Z

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 cf5240ce-a3fa-4e6d-a578-5f239f4acd22 · outbound

This paper cites the method of paired comparisons , author=.

Optimal Transport for LLM Reward Modeling from Noisy Preference the method of paired comparisons , author=

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.770042Z

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 b236a05c-aaf0-44c6-a886-9d3f4a75ab98 · outbound

This paper cites Findings of the Association for Computational Linguistics: NAACL 2025 , pages=.

Optimal Transport for LLM Reward Modeling from Noisy Preference Findings of the Association for Computational Linguistics: NAACL 2025 , pages=

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.241753Z

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 b8e3034a-293c-491e-9efc-181407af9ed7 · outbound

This paper cites Computational Linguistics , volume=.

Optimal Transport for LLM Reward Modeling from Noisy Preference Computational Linguistics , volume=

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.115256Z

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 875546cd-120b-48d0-aa20-7094924affae · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Optimal Transport for LLM Reward Modeling from Noisy Preference Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.009004Z

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 01e7331f-40a8-43a3-a27d-8fcf94a6b084 · outbound

This paper cites On Symmetric Losses for Robust Policy Optimization with Noisy Preferences.

Optimal Transport for LLM Reward Modeling from Noisy Preference On Symmetric Losses for Robust Policy Optimization with Noisy Preferences

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:07.420959Z

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 b33c64fe-ac10-45f0-abb1-ea8d20dfa0e4 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Optimal Transport for LLM Reward Modeling from Noisy Preference Proximal Policy Optimization Algorithms

Reference 88

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T18:46:07.360705Z

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 850af893-dc20-46c2-bfee-0c26745db923 · outbound

This paper cites Group Sequence Policy Optimization.

Optimal Transport for LLM Reward Modeling from Noisy Preference Group Sequence Policy Optimization

Reference 89

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T18:46:07.445597Z

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 b4b307cf-904f-412e-a100-7bf343200fc5 · outbound

This paper cites 2022 , booktitle = P_SIGKDD, pages =.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2022 , booktitle = P_SIGKDD, pages =

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.492434Z

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 c682db53-2fb0-4aa5-bf5c-067eaef1a12d · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:40.436242Z

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 1593ee18-bf81-477e-ba92-8118dffdd86e · outbound

This paper cites Dual Unbiased Recommender Learning for Implicit Feedback , booktitle = P_SIGIR, pages =.

Optimal Transport for LLM Reward Modeling from Noisy Preference Dual Unbiased Recommender Learning for Implicit Feedback , booktitle = P_SIGIR, pages =

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.587194Z

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 68a97bcd-0bea-4214-aaa0-64865a7bf2ff · outbound

This paper cites Biometrics , volume=.

Optimal Transport for LLM Reward Modeling from Noisy Preference Biometrics , volume=

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.376395Z

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 4afdef64-8907-4922-8dc8-15781f082b87 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:40.282754Z

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 14c56590-710b-4ad2-ae6a-2b01cd5b2673 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.082483Z

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 2cbfb064-bedc-46c7-a750-c93b800b8d6f · outbound

This paper cites Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning , booktitle = P_WWW, pages =.

Optimal Transport for LLM Reward Modeling from Noisy Preference Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning , booktitle = P_WWW, pages =

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:16.968950Z

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 22cfa253-3592-42dc-ae5a-140b58eeb0b0 · outbound

This paper cites RecSys , pages=.

Optimal Transport for LLM Reward Modeling from Noisy Preference RecSys , pages=

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.431850Z

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 d495223b-6a5d-4fbf-b844-86cc87ce830a · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:40.367637Z

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 4c92cdf5-f1d8-4bfd-a115-4c749e7b8d18 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:40.248102Z

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 6b602341-38e8-4cbd-a027-c2cabad07e39 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:40.277712Z

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 ab3d96d1-338a-4c7b-aa64-8047afd8ba4e · outbound

This paper cites 2023 , publisher=.

Optimal Transport for LLM Reward Modeling from Noisy Preference 2023 , publisher=

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:40.296616Z

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 e820ee61-d843-4990-bc28-6cd3a957430f · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 102

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.938622Z

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 1f6ad4a0-e004-4427-9019-92461382c008 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 103

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.061445Z

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 bf91c744-9ee1-4645-9f1b-f7eebb817706 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 104

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.048166Z

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 f31651d2-8230-4b9a-8c8b-11df6a179d4a · outbound

This paper cites The Concentration of Fractional Distances , journal = IEEE_J_KDE, volume =.

Optimal Transport for LLM Reward Modeling from Noisy Preference The Concentration of Fractional Distances , journal = IEEE_J_KDE, volume =

Reference 105

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:47:17.064922Z

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 0cd2fef9-8e84-44bd-a839-7e0515aa5d42 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 106

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.016520Z

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 bdc6b8ff-f544-4ea5-b92a-a4b44641636c · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 107

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.058187Z

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 fe671794-9456-4e09-91ab-c41efaa69850 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 108

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.809079Z

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 b671b698-dfd6-4bf0-bfeb-3b0a2b687e9e · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 109

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.051561Z

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 72d1cd9c-e24f-43dc-882a-31827d55030c · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 110

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.805567Z

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 c2e12d26-f13d-455b-96b9-b49484f24b87 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 111

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:16.812489Z

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 3cc521be-a8ee-49d3-8ccf-8c301ea96dd8 · outbound

This paper cites an unresolved cited work.

Optimal Transport for LLM Reward Modeling from Noisy Preference Unresolved cited work

Reference 112

Resolution: unresolved; raw_fallback, observed 2026-05-26T11:47:17.217756Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers