SLiC-HF: Sequence Likelihood Calibration with Human Feedback | Paper Citation Record

Observation 1722cd2e-8a89-48d6-ba18-325f40167411 · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-05-13T12:01:42.528194Z

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Observation 5e276e74-323e-4467-a46d-42e1c255fd92 · inbound

KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.

KTO: Model Alignment as Prospect Theoretic Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:17:53.546101Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34a278a0-618b-4598-9c74-270390f42fdb · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 237

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:38:37.016336Z

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Observation 75b6c38f-8957-4816-bbcb-19d670c555ee · inbound

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents cites this paper.

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 210

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T09:42:04.390390Z

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Observation 80e4268d-f709-4dcd-893c-ce3f06ca8c0e · inbound

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution cites this paper.

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T21:50:34.961970Z

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Observation 309eb1cf-e393-4d62-bbec-c2ccdf9dabdf · inbound

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment cites this paper.

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:37.080793Z

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Observation 5918f534-acd5-4a7f-8981-d919afe89c61 · inbound

Multilingual Large Language Models: A Systematic Survey cites this paper.

Multilingual Large Language Models: A Systematic Survey SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:00:14.366934Z

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Observation 9a74b634-c129-40ca-b1e4-d533e99c7df5 · inbound

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd cites this paper.

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T17:15:47.961445Z

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Observation 8248a1b0-66cd-4763-8a01-371e17283dbd · inbound

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs cites this paper.

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T17:05:15.227369Z

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Observation 908931f4-5777-4768-a9c5-6f632332c655 · inbound

AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward cites this paper.

AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T11:36:36.413997Z

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Observation 0973c55d-5020-4909-848b-b2cbc975cf0e · inbound

Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy cites this paper.

Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:23.724112Z

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Observation 7a0c075c-9a59-4218-876e-38c6449f733a · inbound

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:22:44.243462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9a2a8f0-9cbb-43c9-8f70-ee65d0b2afc5 · inbound

Time-Reversal Provides Unsupervised Feedback to LLMs cites this paper.

Time-Reversal Provides Unsupervised Feedback to LLMs SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:06.753886Z

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Observation 0908ca83-8015-4323-929d-41e2f8c91328 · inbound

T-REG: Preference Optimization with Token-Level Reward Regularization cites this paper.

T-REG: Preference Optimization with Token-Level Reward Regularization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T23:15:56.458770Z

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Observation 0f707a22-fc9c-4ed6-90c0-2268f4aafa11 · inbound

Weighted-Reward Preference Optimization for Implicit Model Fusion cites this paper.

Weighted-Reward Preference Optimization for Implicit Model Fusion SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T22:48:23.264757Z

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Observation e1aeeee2-82f4-4f4d-a930-29231ddb085f · inbound

SmolTulu: Higher Learning Rate to Batch Size Ratios Can Lead to Better Reasoning in SLMs cites this paper.

SmolTulu: Higher Learning Rate to Batch Size Ratios Can Lead to Better Reasoning in SLMs SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:44.387680Z

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Observation 162e90e5-149f-4d8d-aa28-12054b696c37 · inbound

Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration cites this paper.

Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:55:20.422799Z

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Observation 3f42c634-3393-4e23-8de7-f4e7bf7442a5 · inbound

VideoDPO: Omni-Preference Alignment for Video Diffusion Generation cites this paper.

VideoDPO: Omni-Preference Alignment for Video Diffusion Generation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T12:29:09.709676Z

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Observation 252bde81-682b-48cd-b034-cb66fe3413f1 · inbound

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment cites this paper.

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:16:31.816513Z

Source-reported events for the cited work

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Observation 288e9c2b-27e3-4ba6-a0e5-93f5ba2565a2 · inbound

Understanding the Logic of Direct Preference Alignment through Logic cites this paper.

Understanding the Logic of Direct Preference Alignment through Logic SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T05:24:21.081152Z

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Observation cf9f3441-5d49-418b-a2bf-8de1a4f6eaa8 · inbound

Efficient Long Context Language Model Retrieval with Compression cites this paper.

Efficient Long Context Language Model Retrieval with Compression SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T04:59:37.339895Z

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Observation 4feb6fe3-b419-460b-a086-09ad778f9d56 · inbound

DIVE: Diversified Iterative Self-Improvement cites this paper.

DIVE: Diversified Iterative Self-Improvement SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T22:49:13.518160Z

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Observation ccd42246-84e3-40b2-ba18-505b2e9a2926 · inbound

Online Preference Alignment for Language Models via Count-based Exploration cites this paper.

Online Preference Alignment for Language Models via Count-based Exploration SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T16:58:02.677210Z

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Observation e5b4aa39-da6c-4166-8853-4901daca3e74 · inbound

PairJudge RM: Perform Best-of-N Sampling with Knockout Tournament cites this paper.

PairJudge RM: Perform Best-of-N Sampling with Knockout Tournament SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:31.305980Z

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Observation 487da223-b5cd-4c8b-b54b-6a13d2a10d39 · inbound

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step cites this paper.

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:46.457214Z

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Observation 4f3d6aaa-03ba-48a7-8dcc-31af6a49cd52 · inbound

CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation cites this paper.

CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T15:33:49.392420Z

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Observation fb60df69-5da4-4d2d-bc3d-6c928af3da1a · inbound

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning cites this paper.

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T22:20:13.896255Z

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Observation 049fc6f9-58a1-4cf3-831d-abe63ed3fee8 · inbound

A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment cites this paper.

A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-09T20:09:54.404741Z

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Observation a6eccc06-70ba-46d1-a3e0-5158e1fbea3c · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T16:18:40.583638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52741b9a-7c71-44bf-85a1-fe1cb7775f6b · inbound

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms cites this paper.

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T06:04:01.644525Z

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Unavailable: canonical work link unavailable.

Observation ff55ae22-d549-4c47-bb36-1e8685b45293 · inbound

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective cites this paper.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.221810Z

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Observation 2380c056-2542-4170-8d4c-6ccb870716e3 · inbound

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators cites this paper.

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:57:29.564192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c00348f-ff9c-439e-a0ce-a04c3d03c991 · inbound

Design Considerations in Offline Preference-based RL cites this paper.

Design Considerations in Offline Preference-based RL SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T19:40:42.069597Z

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Observation f423684f-2bfc-493e-9f0c-f0ec5536991d · inbound

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples cites this paper.

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-08T11:57:12.067249Z

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Observation 59175734-fc8a-42e0-9c75-894c1cea7c81 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 193

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:32:01.402266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3beabb32-5b52-4fed-a488-db01caae4647 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 193

Resolution: unresolved; no resolver link, observed 2026-08-16T12:33:21.000951Z

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Observation e9883153-07d2-4036-bb4c-bde0e9152d9f · inbound

Direct Advantage Regression: Aligning LLMs with Online AI Reward cites this paper.

Direct Advantage Regression: Aligning LLMs with Online AI Reward SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T12:00:34.695729Z

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Observation dd954a4b-1eda-4f04-9c3a-1af5296727af · inbound

From Evidence to Belief: A Bayesian Epistemology Approach to Language Models cites this paper.

From Evidence to Belief: A Bayesian Epistemology Approach to Language Models SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:20.674454Z

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Observation a00b376d-be08-4587-9f38-56accb3513c7 · inbound

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL cites this paper.

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T00:59:21.913467Z

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Observation 136f0f34-c46f-4444-9f9b-2375ff74aa67 · inbound

Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes cites this paper.

Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T23:22:47.226126Z

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Observation fd360663-2ac3-415c-af6b-3ab7597baae8 · inbound

InfoPO: On Mutual Information Maximization for Large Language Model Alignment cites this paper.

InfoPO: On Mutual Information Maximization for Large Language Model Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T22:01:30.152786Z

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Observation ebbe1492-80e1-46c9-90d7-5d7cc68d3708 · inbound

ShiQ: Bringing back Bellman to LLMs cites this paper.

ShiQ: Bringing back Bellman to LLMs SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:57.640889Z

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Observation 9f678ab7-fc80-4070-93ff-4800f562e6a4 · inbound

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization cites this paper.

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:21.637749Z

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Unavailable: canonical work link unavailable.

Observation 63e8c024-b2b2-49eb-bf14-fef4b5bccc41 · inbound

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design cites this paper.

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:33.685941Z

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Observation f2cf9eaa-5d02-454e-91db-cc41a6877c14 · inbound

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? cites this paper.

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:46.299308Z

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Observation 87bd096e-8ccb-4955-abd4-69db5d72d6bc · inbound

Incentivizing High-Quality Human Annotations with Golden Questions cites this paper.

Incentivizing High-Quality Human Annotations with Golden Questions SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:42:19.370731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f25a33c-c908-4cf8-a2fd-d6b57a926c3f · inbound

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment cites this paper.

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

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Observation 0b8a432e-e368-4c56-b05f-05153a48c8e2 · inbound

Thompson Sampling in Online RLHF with General Function Approximation cites this paper.

Thompson Sampling in Online RLHF with General Function Approximation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:50.251391Z

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Observation 821c1dfc-b893-4828-acbd-f8130eb23105 · inbound

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

On Symmetric Losses for Robust Policy Optimization with Noisy Preferences SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:57.177745Z

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Observation faf8bccb-9cd4-44ef-92c4-992109603475 · inbound

Sign-SZPO: Provable Preference-based Reinforcement Learning with an Unknown Link Function cites this paper.

Sign-SZPO: Provable Preference-based Reinforcement Learning with an Unknown Link Function SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:13.316647Z

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Observation e928c41e-609e-4942-909e-de9dc75b6c28 · inbound

BPO: Revisiting Preference Modeling in Direct Preference Optimization cites this paper.

BPO: Revisiting Preference Modeling in Direct Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:07:35.619682Z

Source-reported events for the cited work

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Observation 96a4e02e-511b-44ed-9d04-e4057629f929 · inbound

Explicit Preference Optimization: No Need for an Implicit Reward Model cites this paper.

Explicit Preference Optimization: No Need for an Implicit Reward Model SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:18.036861Z

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Observation 1dc57259-667c-4d60-b5b1-f7b8a9949c6b · inbound

ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization cites this paper.

ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.342641Z

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Observation ad212efc-b520-4d1a-86e3-86662d50493f · inbound

On Monotonicity in AI Alignment cites this paper.

On Monotonicity in AI Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.322977Z

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Observation 9520ea74-8889-43c0-bd1b-372e99a61b44 · inbound

Debiasing Online Preference Learning via Preference Feature Preservation cites this paper.

Debiasing Online Preference Learning via Preference Feature Preservation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:32.720004Z

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Unavailable: canonical work link unavailable.

Observation 586052fa-c7b1-42f5-b7d7-8e467d6e9ebc · inbound

Value-Free Policy Optimization via Reward Partitioning cites this paper.

Value-Free Policy Optimization via Reward Partitioning SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:49.293738Z

Source-reported events for the cited work

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Observation 7b97a484-904c-4c66-8d4a-e5b1f170f0c2 · inbound

Optimising Language Models for Downstream Tasks: A Post-Training Perspective cites this paper.

Optimising Language Models for Downstream Tasks: A Post-Training Perspective SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 274

Resolution: unresolved; no resolver link, observed 2026-08-06T22:44:44.816609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665991a4-8154-4b0a-a47d-ecd103f3e2eb · inbound

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections cites this paper.

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:54:49.868787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75cfad5b-8491-433a-a1af-4a7ef81d8a73 · inbound

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization cites this paper.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.335053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1036f3d1-a9c8-4f11-bc1c-117c7058c47c · inbound

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users cites this paper.

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:02:07.792836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b833df4-92a0-4977-88b7-29c850e08e7f · inbound

DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and its Loss' Convexity is Dispensable) cites this paper.

DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and its Loss' Convexity is Dispensable) SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T18:52:38.808890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5406e952-4b37-4599-b46d-a01751c6eb7f · inbound

Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning cites this paper.

Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:49:21.572980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d00b723e-d4c4-46eb-9e1d-42352f6ba700 · inbound

Phi-Ground Tech Report: Advancing Perception in GUI Grounding cites this paper.

Phi-Ground Tech Report: Advancing Perception in GUI Grounding SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T10:28:56.119117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd91298-c1f0-4ab7-ae4c-bcc8c72fe381 · inbound

Enhancing Small LLM Alignment through Margin-Based Objective Modifications under Resource Constraints cites this paper.

Enhancing Small LLM Alignment through Margin-Based Objective Modifications under Resource Constraints SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T21:33:14.871864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9727fb8b-240f-40a7-a8a8-5838076e0ff6 · inbound

Failure Modes of Maximum Entropy RLHF cites this paper.

Failure Modes of Maximum Entropy RLHF SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:02:39.779960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Adaptive Margin RLHF via Preference over Preferences cites this paper.

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

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T14:52:23.843777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d45353d-31f5-45da-842c-4dfe6de29502 · inbound

Alignment-Aware Decoding cites this paper.

Alignment-Aware Decoding SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T13:40:15.787091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1409158b-53b4-4237-b651-722e6ea4b7a9 · inbound

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference cites this paper.

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.390403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4a76026-141a-4769-8298-c6042f584ffc · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 209

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.162389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0783e4e0-6a46-4245-9168-026877db7356 · inbound

Mind the Gap: Structure-Aware Consistency in Preference Learning cites this paper.

Mind the Gap: Structure-Aware Consistency in Preference Learning SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:16:28.593236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7f30dcf-b92d-47e0-9d7e-b27dc150c79b · inbound

Anomaly-Preference Image Generation cites this paper.

Anomaly-Preference Image Generation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:15:37.409124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2eb63ced-9368-49ee-a8e6-807028c53ccc · inbound

Anomaly-Preference Image Generation cites this paper.

Anomaly-Preference Image Generation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:43:53.717724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e1e8f3b-289b-407d-b2a8-157ed91bcedc · inbound

Anomaly-Preference Image Generation cites this paper.

Anomaly-Preference Image Generation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:45:12.283055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7fa8adaa-2ecf-40ef-bb7e-38081db26d93 · inbound

Data-dependent Exploration for Online Reinforcement Learning from Human Feedback cites this paper.

Data-dependent Exploration for Online Reinforcement Learning from Human Feedback SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:09.182781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 754f1ef1-1628-4e0b-b4f3-c6b36a820e0c · inbound

Data-dependent Exploration for Online Reinforcement Learning from Human Feedback cites this paper.

Data-dependent Exploration for Online Reinforcement Learning from Human Feedback SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:35:10.407105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75f08799-ea08-4a97-9d8d-68b5a3dcbaff · inbound

CROP: Expert-Aligned Image Cropping via Compositional Reasoning and Optimizing Preference cites this paper.

CROP: Expert-Aligned Image Cropping via Compositional Reasoning and Optimizing Preference SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:38:00.841961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 188984cc-6ede-4346-90f0-ba835b7ebe66 · inbound

Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment cites this paper.

Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:03:58.124603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fde0b802-f605-407f-921a-0821d188ab28 · inbound

Token-weighted Direct Preference Optimization with Attention cites this paper.

Token-weighted Direct Preference Optimization with Attention SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:06:11.750006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b6439581-fc26-4740-9979-7b9337f814fe · inbound

S-SPPO: Semantic-Calibrated Self-Play Preference Optimization cites this paper.

S-SPPO: Semantic-Calibrated Self-Play Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:19.435524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 496bb23e-2733-4db9-a00b-e336c57b3c5e · inbound

P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization cites this paper.

P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:27.135124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 72de1279-8562-4fca-b409-83c5916d3e1e · inbound

MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction cites this paper.

MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:58:03.338464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06574a1f-879b-48d7-b34f-95e68bfb9f58 · inbound

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech cites this paper.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.812263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3deae7e-03de-46fb-9a72-0ded20e4c8be · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 194

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:09:46.434801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1c3db5a-96df-4011-a5a9-6bf7ac7609b3 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:18.422406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc7b84b-5fce-481d-8dc9-a489f7d6da51 · inbound

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs cites this paper.

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:35:47.677633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8051384f-8274-450f-b576-80cc0349ec02 · inbound

Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation cites this paper.

Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:14:26.741596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cccff79b-33e6-4cc0-bb99-7ab96de8cd7b · inbound

Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation cites this paper.

Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T09:37:24.616723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1470d54a-8ab3-4f29-b8b4-1ffcaa06c8cf · inbound

Unbiased Alignment for Large Language Models with Noisy Preferences cites this paper.

Unbiased Alignment for Large Language Models with Noisy Preferences SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5def73b-34c0-4807-b171-8bde50c6a6f6 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 254

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af3df9e8-9307-4cec-bf01-c72357f13696 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 255

Resolution: unresolved; no resolver link, observed 2026-08-02T08:41:01.968095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe93fbcb-ec48-420e-a923-cb85d810674c · inbound

Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints cites this paper.

Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-13T05:26:06.829382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8921611f-4095-440e-86e1-14e4d0f270dd · inbound

Normalized Rewards for Preference Optimization cites this paper.

Normalized Rewards for Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T10:01:59.868237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf7d0bd4-da96-4800-b1c7-887d73d5295c · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-01T07:28:35.893789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers