Towards Reliable, Uncertainty-Aware Alignment | Paper Citation Record

Observation d809cf6f-ee7c-4ffd-892d-e7588102b78c · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Towards Reliable, Uncertainty-Aware Alignment The claude 3 model family: Opus, sonnet, haiku

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:21.156461Z

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Observation 47697553-f704-4bb3-82e3-bfc825ef34c7 · outbound

This paper cites The Llama 3 Herd of Models.

Towards Reliable, Uncertainty-Aware Alignment The Llama 3 Herd of Models

Reference 2

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Observation ee77b394-d87e-49f6-8280-3c14d712c9cb · outbound

This paper cites Concrete Problems in AI Safety.

Towards Reliable, Uncertainty-Aware Alignment Concrete Problems in AI Safety

Reference 3

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Observation fbb27280-7859-4c32-8d4f-a42d30e3c2f0 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Towards Reliable, Uncertainty-Aware Alignment Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

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Observation 48ae5dfa-eb9f-465e-aa15-b6cc4542ab59 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Towards Reliable, Uncertainty-Aware Alignment Constitutional AI: Harmlessness from AI Feedback

Reference 5

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Observation 1728c136-ef99-4e4d-a6ff-0be5e299c464 · outbound

This paper cites Deep reinforcement learning from human preferences.

Towards Reliable, Uncertainty-Aware Alignment Deep reinforcement learning from human preferences

Reference 6

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Observation d81661bf-1992-4d60-91f9-a40889259d1e · outbound

This paper cites Reward Model Ensembles Help Mitigate Overoptimization.

Towards Reliable, Uncertainty-Aware Alignment Reward Model Ensembles Help Mitigate Overoptimization

Reference 7

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Observation 08da191c-c502-4312-bed6-4226835d001c · outbound

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

Towards Reliable, Uncertainty-Aware Alignment UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 8

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Observation 1d279d30-0dcf-4f19-bfaa-89c952a0a89f · outbound

This paper cites Suphavadeeprasit.

Towards Reliable, Uncertainty-Aware Alignment Suphavadeeprasit

Reference 9

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Observation 5e10c0f0-fb17-4bfe-9a8f-44419e76630c · outbound

This paper cites Gemini 2.0 flash: Next-generation multimodal ai model.

Towards Reliable, Uncertainty-Aware Alignment Gemini 2.0 flash: Next-generation multimodal ai model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:20.783795Z

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Observation 1361e871-f6d0-4c4d-9c6c-b5e0025049e2 · outbound

This paper cites DeepSeek-V3 Technical Report.

Towards Reliable, Uncertainty-Aware Alignment DeepSeek-V3 Technical Report

Reference 11

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Observation 97e0d881-e718-487f-a5bb-1e108dcacce4 · outbound

This paper cites RAFT : Reward ranked finetuning for generative foundation model alignment.

Towards Reliable, Uncertainty-Aware Alignment RAFT : Reward ranked finetuning for generative foundation model alignment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:14.132426Z

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Observation e91f2dfc-d7f7-4e9b-8792-7f4fef976c8f · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

Towards Reliable, Uncertainty-Aware Alignment RLHF Workflow: From Reward Modeling to Online RLHF

Reference 13

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Observation d2b52343-ad36-4d03-85ab-8d46ab45da4f · outbound

This paper cites Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

Towards Reliable, Uncertainty-Aware Alignment Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking

Reference 14

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Observation 0e5c7de4-926c-4d9f-8825-509c26dcdb16 · outbound

This paper cites Understanding dataset difficulty with v-usable information.

Towards Reliable, Uncertainty-Aware Alignment Understanding dataset difficulty with v-usable information

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:20.612471Z

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Observation cd467f85-11b8-4976-a8fe-6efab80bbead · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Towards Reliable, Uncertainty-Aware Alignment Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:20.401191Z

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Observation 4115c2db-0a6e-4527-b18e-31c2da76f903 · outbound

This paper cites Scaling laws for reward model overoptimization.

Towards Reliable, Uncertainty-Aware Alignment Scaling laws for reward model overoptimization

Reference 17

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Observation 8f8c4ae2-e1e8-4d32-b9a1-69738b2f53c3 · outbound

This paper cites https://huggingface.co/google/gemma-2b, 2024.

Towards Reliable, Uncertainty-Aware Alignment https://huggingface.co/google/gemma-2b, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:20.250009Z

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Observation 1dc032e9-a02f-4dce-b96d-6b068474f4da · outbound

This paper cites Beavertails: Towards improved safety alignment of llm via a human-preference dataset.

Towards Reliable, Uncertainty-Aware Alignment Beavertails: Towards improved safety alignment of llm via a human-preference dataset

Reference 19

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Observation 0130163d-ee01-4d80-8e01-84e6c0938b5b · outbound

This paper cites Mistral 7B.

Towards Reliable, Uncertainty-Aware Alignment Mistral 7B

Reference 20

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Observation 33e0d3f5-5f7a-4d3d-a8d7-a3ec2544814f · outbound

This paper cites Reward Design with Language Models.

Towards Reliable, Uncertainty-Aware Alignment Reward Design with Language Models

Reference 21

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Observation 61587e0a-0251-4e40-b1ba-8cc8fee53523 · outbound

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

Towards Reliable, Uncertainty-Aware Alignment RewardBench: Evaluating Reward Models for Language Modeling

Reference 22

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Observation 24b201b5-75dd-4e28-9733-9bee5051bfbc · outbound

This paper cites Alpacaeval: An automatic evaluator of instruction-following models, 2023.

Towards Reliable, Uncertainty-Aware Alignment Alpacaeval: An automatic evaluator of instruction-following models, 2023

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:15.487856Z

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Observation 6f0b80df-145c-4ef6-af21-d3a6aedfcba2 · outbound

This paper cites Openorca: An open dataset of gpt augmented flan reasoning traces, 2023.

Towards Reliable, Uncertainty-Aware Alignment Openorca: An open dataset of gpt augmented flan reasoning traces, 2023

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:20.024665Z

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Observation 1544c899-73e4-4a7b-9a41-91ea72ae8d17 · outbound

This paper cites Reward Uncertainty for Exploration in Preference-based Reinforcement Learning.

Towards Reliable, Uncertainty-Aware Alignment Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Reference 25

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Observation 0babacde-4ada-4f0a-adcc-94e46862e9e8 · outbound

This paper cites Iterative prompting for estimating epistemic uncertainty.

Towards Reliable, Uncertainty-Aware Alignment Iterative prompting for estimating epistemic uncertainty

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:19.849773Z

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Observation 902799f6-fb92-4983-98a6-59f7a3fff674 · outbound

This paper cites Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown.

Towards Reliable, Uncertainty-Aware Alignment Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown

Reference 27

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Observation 28c4d9ce-4dcc-4d52-85c6-fc6d793041e9 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.

Towards Reliable, Uncertainty-Aware Alignment Introducing meta llama 3: The most capable openly available llm to date

Reference 28

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Observation e439b574-48dd-419d-a3bb-64f9c38ba7af · outbound

This paper cites Montgomery and George C.

Towards Reliable, Uncertainty-Aware Alignment Montgomery and George C

Reference 29

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Observation 757574e9-7c31-43a4-abd1-614f6e78f258 · outbound

This paper cites GPT-4 Technical Report.

Towards Reliable, Uncertainty-Aware Alignment GPT-4 Technical Report

Reference 30

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Observation 91246783-23e2-48a4-8de0-3e8e6fa149ca · outbound

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

Towards Reliable, Uncertainty-Aware Alignment Training language models to follow instructions with human feedback

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:16.193548Z

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Observation 18c522b9-122d-4a4a-adbd-92b17f02a131 · outbound

This paper cites Language models are unsupervised multitask learners.

Towards Reliable, Uncertainty-Aware Alignment Language models are unsupervised multitask learners

Reference 32

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Observation 57c3ab16-89df-48eb-a27d-8adab523beee · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Towards Reliable, Uncertainty-Aware Alignment Direct preference optimization: Your language model is secretly a reward model

Reference 33

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Observation 5650bcbd-ea5c-4a08-9b87-388f4fe98063 · outbound

This paper cites WARM: On the Benefits of Weight Averaged Reward Models.

Towards Reliable, Uncertainty-Aware Alignment WARM: On the Benefits of Weight Averaged Reward Models

Reference 34

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Observation 9b210cb0-f49a-48d1-aea4-6c6df8c36850 · outbound

This paper cites Trust Region Policy Optimization.

Towards Reliable, Uncertainty-Aware Alignment Trust Region Policy Optimization

Reference 35

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Observation 58d43223-87e6-472e-b055-18d7a48a7cdb · outbound

This paper cites Proximal Policy Optimization Algorithms.

Towards Reliable, Uncertainty-Aware Alignment Proximal Policy Optimization Algorithms

Reference 36

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Observation 98871c98-ad6d-461e-90d4-40083a555d8e · outbound

This paper cites Mutual fund performance.

Towards Reliable, Uncertainty-Aware Alignment Mutual fund performance

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:19.401125Z

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Observation a399d956-22d0-4734-b28b-5c7ad4a851cb · outbound

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Towards Reliable, Uncertainty-Aware Alignment Unresolved cited work

Reference 38

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Observation 9aeebd62-11a7-44fa-94b3-9d09552a9746 · outbound

This paper cites LLM-as-a-Judge & Reward Model: What They Can and Cannot Do.

Towards Reliable, Uncertainty-Aware Alignment LLM-as-a-Judge & Reward Model: What They Can and Cannot Do

Reference 39

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Observation cc34c0a9-eb6a-439b-851c-fc50b32b7883 · outbound

This paper cites Learning to summarize with human feedback.

Towards Reliable, Uncertainty-Aware Alignment Learning to summarize with human feedback

Reference 40

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Observation 362f149e-6940-42e8-8316-2a92bb0a8b50 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Towards Reliable, Uncertainty-Aware Alignment Policy gradient methods for reinforcement learning with function approximation

Reference 41

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Observation b75730e9-da5d-469a-ad94-d67b210d359e · outbound

This paper cites Quantifying Uncertainty in Natural Language Explanations of Large Language Models.

Towards Reliable, Uncertainty-Aware Alignment Quantifying Uncertainty in Natural Language Explanations of Large Language Models

Reference 42

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Observation 99d1eca3-0d57-44c2-89f2-f0e50ca4e355 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Towards Reliable, Uncertainty-Aware Alignment Gemini: A Family of Highly Capable Multimodal Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:17.125727Z

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Observation 6b251672-a983-4cec-8bd6-84eb6017d14b · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Towards Reliable, Uncertainty-Aware Alignment Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 44

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Observation 8d6d2705-1af5-4aef-a24c-771fdf608aa3 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Towards Reliable, Uncertainty-Aware Alignment Gemma: Open Models Based on Gemini Research and Technology

Reference 45

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Observation 4b7ec90c-cf1c-40a0-b378-fd8e214e9552 · outbound

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

Towards Reliable, Uncertainty-Aware Alignment Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

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Observation 98e4ed2e-64d5-47b2-b840-901b19b509cf · outbound

This paper cites Trl: Transformer reinforcement learning.

Towards Reliable, Uncertainty-Aware Alignment Trl: Transformer reinforcement learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:17.443886Z

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Observation c8a35bd8-9eeb-4310-b713-fbe3f304dbc7 · outbound

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

Towards Reliable, Uncertainty-Aware Alignment HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:17.507422Z

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Observation 91d61d80-9a94-43c0-bbbd-640ab06fd754 · outbound

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Towards Reliable, Uncertainty-Aware Alignment Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:17.562762Z

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Observation d0847c30-0dc7-4bb2-b24e-876bd2a7af18 · outbound

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Towards Reliable, Uncertainty-Aware Alignment Unresolved cited work

Reference 50

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Observation 86902715-0dcf-4e6c-ac7e-5e21f4300593 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Towards Reliable, Uncertainty-Aware Alignment Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:17.718260Z

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Observation b9e8f8b0-26ef-4a1d-ab22-ede3d8ba02d1 · outbound

This paper cites Iterative preference learning from human feedback: Bridging theory and practice for rlhf under kl-constraint.

Towards Reliable, Uncertainty-Aware Alignment Iterative preference learning from human feedback: Bridging theory and practice for rlhf under kl-constraint

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:19.197653Z

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Observation 9624b5bf-a1d1-4fa5-8d09-f4b118e216e4 · outbound

This paper cites Qwen2.5 Technical Report.

Towards Reliable, Uncertainty-Aware Alignment Qwen2.5 Technical Report

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:17.864241Z

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Observation a0780e28-bddc-4838-9500-e3b1140c06a7 · outbound

This paper cites Advancing LLM Reasoning Generalists with Preference Trees.

Towards Reliable, Uncertainty-Aware Alignment Advancing LLM Reasoning Generalists with Preference Trees

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:17.967384Z

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Observation 07acfe67-c226-46b8-9be1-2d768943a270 · outbound

This paper cites Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles.

Towards Reliable, Uncertainty-Aware Alignment Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:18.065331Z

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Observation 1cc00e7e-3488-4566-9cd4-acba6e84c90a · outbound

This paper cites Bayesian prompt ensembles: Model uncertainty estimation for black-box large language models.

Towards Reliable, Uncertainty-Aware Alignment Bayesian prompt ensembles: Model uncertainty estimation for black-box large language models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:40:18.999138Z

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Observation ac20c0ed-0aa3-4bb5-bf93-3e9d82819382 · outbound

This paper cites Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble.

Towards Reliable, Uncertainty-Aware Alignment Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:18.178863Z

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Observation 5790b6ad-18f7-4d2b-96cb-4127ecc14bb7 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Towards Reliable, Uncertainty-Aware Alignment Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:18.225082Z

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Observation 6d9b15d1-25f5-428b-b2c2-6e41fc92c2a5 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Towards Reliable, Uncertainty-Aware Alignment Fine-Tuning Language Models from Human Preferences

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:18.315140Z

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