Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment | Paper Citation Record

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment write newline

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2

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This paper cites M., and Sun, W.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment M., and Sun, W

Reference 3

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Harnessing Density Ratios for Online Reinforcement Learning

Reference 4

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Scalable Online Exploration via Coverability

Reference 5

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This paper cites G., Guo, Z.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment G., Guo, Z

Reference 6

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment M., Schneider, J., and Ng, A

Reference 7

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

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 8

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Constitutional AI: Harmlessness from AI Feedback

Reference 9

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This paper cites Contextual bandit algorithms with supervised learning guarantees.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Contextual bandit algorithms with supervised learning guarantees

Reference 10

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Unresolved cited work

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Unresolved cited work

Reference 12

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 13

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Dataset Reset Policy Optimization for RLHF

Reference 14

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Robust and private stochastic linear bandits

Reference 15

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Hsu, D

Reference 16

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Jiang, N

Reference 17

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Sentenac, F

Reference 18

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Unresolved cited work

Reference 19

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Observation e50edb24-1c97-49c3-b789-41f0bbd070c8 · outbound

This paper cites Distributed Differential Privacy in Multi-Armed Bandits.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Distributed Differential Privacy in Multi-Armed Bandits

Reference 20

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This paper cites Shuffle Private Linear Contextual Bandits.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Shuffle Private Linear Contextual Bandits

Reference 21

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Observation c07e7b14-0763-4b65-88e6-5d97b0cb27d7 · outbound

This paper cites Provably Robust DPO: Aligning Language Models with Noisy Feedback.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Provably Robust DPO: Aligning Language Models with Noisy Feedback

Reference 22

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This paper cites R., Zhou, X., and Natarajan, N.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment R., Zhou, X., and Natarajan, N

Reference 23

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment F., Leike, J., Brown, T., Martic, M., Legg, S., and Amodei, D

Reference 24

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Du, S

Reference 25

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This paper cites Minimax-optimal off-policy evaluation with linear function approximation.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Minimax-optimal off-policy evaluation with linear function approximation

Reference 26

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This paper cites Calibrating noise to sensitivity in private data analysis.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Calibrating noise to sensitivity in private data analysis

Reference 27

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This paper cites Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 28

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Importance-weighted offline learning done right

Reference 29

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This paper cites REBEL: Reinforcement Learning via Regressing Relative Rewards.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment REBEL: Reinforcement Learning via Regressing Relative Rewards

Reference 30

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Local differential privacy for regret minimization in reinforcement learning

Reference 31

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Hopkins, S

Reference 32

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment B., Kamath, G., Majid, M., and Narayanan, S

Reference 33

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization

Reference 34

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Unresolved cited work

Reference 35

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Bellman eluder dimension: New rich classes of rl problems, and sample-efficient algorithms

Reference 36

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This paper cites Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pp.\ 5084--5096.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pp.\ 5084--5096

Reference 37

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Langford, J

Reference 38

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment The Broader Landscape of Robustness in Algorithmic Statistics

Reference 39

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment P., Lee, H

Reference 40

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Brown-Cohen, J

Reference 41

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This paper cites Optidice: Offline policy optimization via stationary distribution correction estimation.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Optidice: Offline policy optimization via stationary distribution correction estimation

Reference 42

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Observation d9b1c00a-e13c-462e-b624-9bb8d9f8675d · outbound

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Differentially private linear bandits with partial distributed feedback

Reference 43

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment B., and Yu, Y

Reference 44

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Statistical Rejection Sampling Improves Preference Optimization

Reference 45

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This paper cites Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

Reference 46

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Y., Yan, J., Jayaraman, D., and Bastani, O

Reference 47

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This paper cites Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

Reference 48

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Corruption Robust Offline Reinforcement Learning with Human Feedback

Reference 49

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Talwar, K

Reference 50

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Thakurta, A

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:12.445447Z

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Observation d20f5511-e422-4b99-9a44-aa19f99bb3fd · outbound

This paper cites and Szepesv \'a ri, C.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Szepesv \'a ri, C

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:12.207803Z

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Observation 4825c11a-6490-491e-817b-18b2bfbc143e · outbound

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Nash Learning from Human Feedback

Reference 53

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Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Unresolved cited work

Reference 54

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Observation 1b7c65ef-b82f-4a21-8d04-b3f32a471f12 · outbound

This paper cites ChatGPT : Optimizing language models for dialogue.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment ChatGPT : Optimizing language models for dialogue

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:11.754842Z

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Observation 6f5f7b64-9e18-40d0-b252-5700b8401841 · outbound

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

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Training language models to follow instructions with human feedback

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:11.599409Z

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 14c19cfa-deb2-487a-959f-8f20c231999f · outbound

This paper cites and Wang, Y.-X.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Wang, Y.-X

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:11.361226Z

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 9288cd28-495f-4282-b1f4-204b56685608 · outbound

This paper cites D., Ermon, S., and Finn, C.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment D., Ermon, S., and Finn, C

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:11.164787Z

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 3d0142a0-ccc1-4823-9912-5ef0c8bdf33e · outbound

This paper cites Bridging offline reinforcement learning and imitation learning: A tale of pessimism.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Bridging offline reinforcement learning and imitation learning: A tale of pessimism

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:10.913677Z

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 1bf8d535-f667-4f41-9793-1c298983eef5 · outbound

This paper cites Multi-Armed Bandits with Local Differential Privacy.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Multi-Armed Bandits with Local Differential Privacy

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:59.345604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4518b6ef-e776-4b72-8342-f7fcb33ae2f4 · outbound

This paper cites Agnostic System Identification for Model-Based Reinforcement Learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Agnostic System Identification for Model-Based Reinforcement Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:59.521221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c612a59-241f-4f9b-a974-7f75e4c5f031 · outbound

This paper cites Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:59.736916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc91668b-e6fc-4d75-9fa3-64bededec017 · outbound

This paper cites and Sheffet, O.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Sheffet, O

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:10.649260Z

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 08a18c92-2d24-44ba-aec1-fa6dbc4d9703 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Proximal Policy Optimization Algorithms

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:00.057955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39eca17c-cd02-4985-94a5-84b9be50371e · outbound

This paper cites and Sheffet, O.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Sheffet, O

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:10.438346Z

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 876b151e-b9d3-4fb6-92b3-4596e38486f6 · outbound

This paper cites Benchmarks and Algorithms for Offline Preference-Based Reward Learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Benchmarks and Algorithms for Offline Preference-Based Reward Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:00.273913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7753a3a-af6e-4cb7-ab0c-504b6df18e02 · outbound

This paper cites Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:00.439564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b963f3-8f72-48a2-a7b2-787bae6547ce · outbound

This paper cites The importance of online data: Understanding preference fine-tuning via coverage.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment The importance of online data: Understanding preference fine-tuning via coverage

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:10.250643Z

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 a871c859-9728-4a2d-a6a5-96ddc928938a · outbound

This paper cites an unresolved cited work.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:00.714395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 349350fa-2915-4818-9aba-b70be6b32109 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment TrustLLM: Trustworthiness in Large Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:00.876180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee8bc4a-7444-4747-8fa6-c8e6159e49cf · outbound

This paper cites Principle-driven self-alignment of language models from scratch with minimal human supervision.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Principle-driven self-alignment of language models from scratch with minimal human supervision

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:10.086380Z

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 528e43c5-8c35-4cc0-81c2-71cccdb87003 · outbound

This paper cites A Minimaximalist Approach to Reinforcement Learning from Human Feedback.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment A Minimaximalist Approach to Reinforcement Learning from Human Feedback

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:01.173114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31f00f59-19a3-4c2b-a2f4-8491679d2c76 · outbound

This paper cites Generalized Preference Optimization: A Unified Approach to Offline Alignment.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Generalized Preference Optimization: A Unified Approach to Offline Alignment

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:01.361604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f84149dd-0a3d-42b8-8d5f-c638c3e517b2 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment LLaMA: Open and Efficient Foundation Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:01.530685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32fd6239-8a15-4a5e-8b43-1d4eb839d10e · outbound

This paper cites Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:01.676167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13631173-84fa-4065-84da-7aa8bb414245 · outbound

This paper cites Private reinforcement learning with pac and regret guarantees.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Private reinforcement learning with pac and regret guarantees

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:09.913242Z

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 eb59928c-97bb-4b8e-80ad-1443f37636a1 · outbound

This paper cites TRL : T ransformer R einforcement L earning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment TRL : T ransformer R einforcement L earning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:09.749209Z

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 19ee0da3-f26e-4d8f-bbe5-0387e8bcc2fb · outbound

This paper cites Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:02.062867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dcc33b2-c25b-4b26-9f24-290ac9944091 · outbound

This paper cites The Central Role of the Loss Function in Reinforcement Learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment The Central Role of the Loss Function in Reinforcement Learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:02.217073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 408a1957-edf2-4e6e-a5c0-60f311fc7d14 · outbound

This paper cites Oracle-efficient pessimism: Offline policy optimization in contextual bandits.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Oracle-efficient pessimism: Offline policy optimization in contextual bandits

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:09.514295Z

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 bc6e284f-0f30-4db7-b4a7-e9324e6af1ae · outbound

This paper cites Is RLHF More Difficult than Standard RL?.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Is RLHF More Difficult than Standard RL?

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:02.561160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0913f4-fe91-46fc-8f3c-89eb5bc4d9c7 · outbound

This paper cites an unresolved cited work.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:02.755041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d55713-5938-490b-a9f4-e55aa35bebe4 · outbound

This paper cites On private and robust bandits.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment On private and robust bandits

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:09.353478Z

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 d4a93fb1-1819-4d37-9e85-7a6155634ec4 · outbound

This paper cites Self-Play Preference Optimization for Language Model Alignment.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Self-Play Preference Optimization for Language Model Alignment

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:03.046755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c71555-cb6c-429e-81e9-b096df6f3489 · outbound

This paper cites On private and robust bandits.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment On private and robust bandits

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:09.153167Z

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 2d05d8e8-2c3e-4b5a-81ae-0e73ee18c877 · outbound

This paper cites On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:03.350482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c70c23d6-df86-41e0-8da4-2b2b588b97e4 · outbound

This paper cites Foundations of Large Language Models.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Foundations of Large Language Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:03.495496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f943956-9991-46a4-94aa-57ee8a6fb445 · outbound

This paper cites Bellman-consistent pessimism for offline reinforcement learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Bellman-consistent pessimism for offline reinforcement learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:08.964046Z

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 47693abf-7fe6-4f98-9725-ed925a50e51a · outbound

This paper cites Policy finetuning: Bridging sample-efficient offline and online reinforcement learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Policy finetuning: Bridging sample-efficient offline and online reinforcement learning

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:08.783637Z

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 2c102604-556e-4131-b27d-df8e3dfe5770 · outbound

This paper cites The Role of Coverage in Online Reinforcement Learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment The Role of Coverage in Online Reinforcement Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:03.851174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f24e11ad-5bc0-4e7a-a0df-1b77114804f8 · outbound

This paper cites Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:03.971759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e623a67-03b9-4747-8d5a-b1b369fbcd82 · outbound

This paper cites Differentially Private Fine-tuning of Language Models.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Differentially Private Fine-tuning of Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:04.056564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c7d7ac-d4bb-42ab-90b3-8e8cca818102 · outbound

This paper cites Offline reinforcement learning with realizability and single-policy concentrability.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Offline reinforcement learning with realizability and single-policy concentrability

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:08.527175Z

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 2a0bc272-c655-4f37-a4d1-9a8ef6274c35 · outbound

This paper cites D., and Sun, W.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment D., and Sun, W

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:08.315920Z

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 13b583d9-506f-4e74-bd85-4e04f870217f · outbound

This paper cites Corruption-robust offline reinforcement learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Corruption-robust offline reinforcement learning

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:08.096754Z

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 0f25a33c-c908-4cf8-a2fd-d6b57a926c3f · outbound

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

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:04.554366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58fc734-8508-4caa-bbe5-520dddb3eb8d · outbound

This paper cites Locally differentially private (contextual) bandits learning.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Locally differentially private (contextual) bandits learning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:07.834248Z

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 4b5a4910-4606-41c6-a9f4-f1cab496e3d7 · outbound

This paper cites Differentially private reinforcement learning with linear function approximation.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Differentially private reinforcement learning with linear function approximation

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:07.623841Z

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 8708e2fc-7628-4e8b-ad26-4173b24d4d05 · outbound

This paper cites and Tan, J.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Tan, J

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:07.448453Z

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 a6de8d3e-efe2-4eab-93c7-daf7f2c38802 · outbound

This paper cites and Zhang, W.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment and Zhang, W

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:45:07.202397Z

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