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

Source-reported events for the cited work

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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 2026-08-09T06:31:02.800959+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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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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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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Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+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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Unavailable: canonical work link unavailable.

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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Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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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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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

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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

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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

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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 2026-08-09T06:31:02.800959+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

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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

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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

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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 2026-08-09T06:31:02.800959+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

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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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.

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