Adaptive Margin RLHF via Preference over Preferences | Paper Citation Record

Observation d26ae2f7-df07-4591-ab61-cb299ee78d85 · outbound

This paper cites Direct Preference Optimization with an Offset.

Adaptive Margin RLHF via Preference over Preferences Direct Preference Optimization with an Offset

Reference 1

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Observation 4deb9cf5-bfb4-4a4e-a885-a13706c67041 · outbound

This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

Adaptive Margin RLHF via Preference over Preferences A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 2

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Observation 40e0d324-70e7-478c-8376-f3279d3e5fbb · outbound

This paper cites Bousquet, S.

Adaptive Margin RLHF via Preference over Preferences Bousquet, S

Reference 3

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Observation 931f9ebc-bfbc-4231-8f18-1f5a1edb4f66 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 4

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Observation a0d963fd-66b3-4871-b322-c35f6d0c173c · outbound

This paper cites Burton, M.

Adaptive Margin RLHF via Preference over Preferences Burton, M

Reference 5

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Observation 32637181-00ce-4796-a516-eaa778829233 · outbound

This paper cites Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints.

Adaptive Margin RLHF via Preference over Preferences Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints

Reference 6

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Observation b5410bf6-2633-4911-bb22-02f398f49f7f · outbound

This paper cites Cortes and V.

Adaptive Margin RLHF via Preference over Preferences Cortes and V

Reference 7

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Observation 5b0d4bfe-b7ad-411a-ac61-fff73e42d8f6 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

Adaptive Margin RLHF via Preference over Preferences UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 8

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Observation 3e996b52-e079-416a-b208-9bc0465b48fd · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Adaptive Margin RLHF via Preference over Preferences Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 9

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Observation ffbc1c1f-7249-426c-9576-bb1c3d3078bc · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Adaptive Margin RLHF via Preference over Preferences Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:52:19.641786Z

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Observation c9f67d72-0320-4973-874b-7c2fa63207ed · outbound

This paper cites Freund, R.

Adaptive Margin RLHF via Preference over Preferences Freund, R

Reference 11

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Observation bdc8121d-fda6-4bc6-b99a-12aa39ffd21d · outbound

This paper cites Grattafiori et al.

Adaptive Margin RLHF via Preference over Preferences Grattafiori et al

Reference 12

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Observation 2e7b1d4a-22e4-4918-a44a-4d50c35ee4ea · outbound

This paper cites Deep Ranking with Adaptive Margin Triplet Loss.

Adaptive Margin RLHF via Preference over Preferences Deep Ranking with Adaptive Margin Triplet Loss

Reference 13

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Observation b135e933-e8ff-4e02-a62b-2745286621fe · outbound

This paper cites an unresolved cited work.

Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 14

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Observation 07170c3e-662a-4c99-8ea6-9f5da5ce5873 · outbound

This paper cites Herbrich and J.

Adaptive Margin RLHF via Preference over Preferences Herbrich and J

Reference 15

Resolution: verified exact; doi, observed 2026-08-04T14:53:21.597770Z

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Observation 5cc9a423-2cf1-48c2-a280-0d7b0eabde7b · outbound

This paper cites Huang, Y.

Adaptive Margin RLHF via Preference over Preferences Huang, Y

Reference 16

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Observation bcb942e4-821c-45b6-b63f-d85de30a8e5b · outbound

This paper cites Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

Adaptive Margin RLHF via Preference over Preferences Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Reference 17

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Observation 7fa6e70b-4141-4aea-b59c-03c5577fc3fa · outbound

This paper cites Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation.

Adaptive Margin RLHF via Preference over Preferences Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation

Reference 18

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Observation 1e925bf3-af47-4214-bfe5-5b02f232054a · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Adaptive Margin RLHF via Preference over Preferences RewardBench: Evaluating Reward Models for Language Modeling

Reference 19

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Observation aa2d5130-5b08-4c55-bbb2-df410334c849 · outbound

This paper cites Ledoux and M.

Adaptive Margin RLHF via Preference over Preferences Ledoux and M

Reference 20

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Observation c0f3625f-7d29-4853-98e3-d2093ffff08a · outbound

This paper cites Ouyang, J.

Adaptive Margin RLHF via Preference over Preferences Ouyang, J

Reference 21

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Observation ab919cad-b1d9-4238-8dfc-285aae93f89d · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 22

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Observation fa7afd46-3c23-46f2-9c88-84e69c0d9b98 · outbound

This paper cites Peters and S.

Adaptive Margin RLHF via Preference over Preferences Peters and S

Reference 23

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Observation fdbcda8b-ed8c-43ae-9c2f-8b4c3593c9c2 · outbound

This paper cites Towards Understanding the Influence of Reward Margin on Preference Model Performance.

Adaptive Margin RLHF via Preference over Preferences Towards Understanding the Influence of Reward Margin on Preference Model Performance

Reference 24

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Observation 3b0f04f9-5a26-44f5-aa62-e5839e6ae26b · outbound

This paper cites Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.

Adaptive Margin RLHF via Preference over Preferences Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms

Reference 25

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Observation 3d63d4ca-da49-4ff5-b230-8f1f9c880fcc · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Adaptive Margin RLHF via Preference over Preferences Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 26

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Observation 7e076658-0a5c-4316-a66f-74e70d1cae92 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 27

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Observation 03cac645-6536-4014-9036-d4ab7967df3a · outbound

This paper cites Shalev-Shwartz and S.

Adaptive Margin RLHF via Preference over Preferences Shalev-Shwartz and S

Reference 28

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Observation b2c2bc61-a198-446a-9200-9fa6941cfa6a · outbound

This paper cites Learning to summarize from human feedback.

Adaptive Margin RLHF via Preference over Preferences Learning to summarize from human feedback

Reference 29

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Observation 35854391-623f-4756-b624-e2e1b12ea2ed · outbound

This paper cites an unresolved cited work.

Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 30

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Observation 62422090-11c8-440a-9b8b-5b9b17d101ae · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Adaptive Margin RLHF via Preference over Preferences Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

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Observation ad48c468-41f6-4d02-b234-1c325540d4b9 · outbound

This paper cites Using Natural Language Explanations to Rescale Human Judgments.

Adaptive Margin RLHF via Preference over Preferences Using Natural Language Explanations to Rescale Human Judgments

Reference 32

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Observation 6e2155e5-e488-4033-a71f-79949deb1a4c · outbound

This paper cites Secrets of RLHF in Large Language Models Part II: Reward Modeling.

Adaptive Margin RLHF via Preference over Preferences Secrets of RLHF in Large Language Models Part II: Reward Modeling

Reference 33

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Observation 930e524d-670e-4629-90cb-11db64921b0a · outbound

This paper cites Reward Difference Optimization For Sample Reweighting In Offline RLHF.

Adaptive Margin RLHF via Preference over Preferences Reward Difference Optimization For Sample Reweighting In Offline RLHF

Reference 34

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Observation a8ebfb0e-6e6d-484e-99f7-8832427597a9 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 35

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Observation b4039719-d289-4f68-abe4-e1b8e027db86 · outbound

This paper cites HelpSteer2-Preference: Complementing Ratings with Preferences.

Adaptive Margin RLHF via Preference over Preferences HelpSteer2-Preference: Complementing Ratings with Preferences

Reference 36

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Observation 9402494a-17ff-40a8-a70f-fee6e656ded9 · outbound

This paper cites AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization.

Adaptive Margin RLHF via Preference over Preferences AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization

Reference 37

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Observation 34d1da5e-9660-4de1-8f71-242207ba596a · outbound

This paper cites $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$.

Adaptive Margin RLHF via Preference over Preferences $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$

Reference 38

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Observation a7872236-7bbf-40f2-a2a6-75a9f0eeba6e · outbound

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Adaptive Margin RLHF via Preference over Preferences Zhang, R

Reference 39

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Observation dca28929-3147-44b8-80dc-00812939bbea · outbound

This paper cites SLiC-HF: Sequence Likelihood Calibration with Human Feedback.

Adaptive Margin RLHF via Preference over Preferences SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 40

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Observation 4195abd2-6dd2-466c-9378-df0b02df4e4e · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 43

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Observation ba6ec33e-dac8-4464-aa14-a986278fc4ac · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation ae76b861-3e3a-4385-bd13-6c4d87631726 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 45

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Observation b183f1b7-2860-4c41-9765-ed3591a2c7a1 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 46

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 48

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Observation df5b5ed2-91a0-4b42-8d8f-32f52c2bc217 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation 6c25a5f6-86cc-4ca9-958b-055af1d78953 · outbound

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Adaptive Margin RLHF via Preference over Preferences Trailer Park

Reference 52

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Observation 0eacef87-9bdd-47b8-be7e-b47458e2265c · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation 4f33b784-df1c-4897-9197-736c156c6e89 · outbound

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Adaptive Margin RLHF via Preference over Preferences It comes in various toppings including classic pepperoni but also more unique options such as cathead (a combination of prosciutto and arugula)

Reference 54

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Observation 7d7a2a36-3ae1-4e81-a092-4ef92aa583cb · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation dd6a007a-d963-4e73-a11e-2c5528730d26 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation bd327419-9064-4441-8af6-cc07ab337fd8 · outbound

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Adaptive Margin RLHF via Preference over Preferences These are just a taste of what Austin has to offer when it comes to street food culture

Reference 58

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Observation 43a863ae-88c2-437f-a5b5-9639a4e27c6a · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation 1b523c27-65b4-49c9-aa95-71dd2e7c5d37 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation 80c953cb-459c-4c94-bb2d-d88893718526 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation 80241729-884a-4899-a568-d88f50667a00 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 62

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Observation 42c6f05d-10b4-494e-83b3-bee6ed28f842 · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation 28510f25-63f7-410c-94b6-ecd3adb4bb55 · outbound

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Adaptive Margin RLHF via Preference over Preferences Big As Yo´Face

Reference 64

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Observation 62559684-b2ae-41ab-aea6-8b968a5a706c · outbound

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

Reference 66

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Observation cb8e8394-cc1c-4420-8ac0-4f9e068db294 · outbound

This paper cites an unresolved cited work.

Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Observation a5b037e6-d769-4eca-9431-eee23b86fe8c · outbound

This paper cites an unresolved cited work.

Adaptive Margin RLHF via Preference over Preferences Unresolved cited work

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Adaptive Margin RLHF via Preference over Preferences Lion Burgers,

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This paper cites HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM.

Adaptive Margin RLHF via Preference over Preferences HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM

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