Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:39.947423Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 6 inbound Pith citation observations for arXiv:2505.13312.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:39.947423Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:17:57.144501Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:03:51.460176Z
100 of 110 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 59830744-7cdf-417c-940a-795affc8ee24 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection GPT-4 Technical Report
Reference 1
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Observation 6cd35024-e9e8-46df-a7b3-5a203f871fbc · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Harnessing Business and Media Insights with Large Language Models
Reference 2
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Observation 4da7e7ef-2787-48a5-ba27-6211cc0ed0f5 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Open Problems in Machine Unlearning for AI Safety
Reference 3
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Observation bd5b10f9-d16d-435a-b6eb-61ddea204b5c · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Soft Prompting for Unlearning in Large Language Models
Reference 4
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Observation 8c272b9c-5431-469d-b45a-13d6625f97df · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Piqa: Reasoning about physical commonsense in natural language
Reference 5
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Observation 9669de93-0ac9-4921-affa-042c0cb34eec · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot
Reference 6
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Observation c4774f3e-2d5e-49dc-ae80-f660ba121b6e · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Towards making systems forget with machine unlearning
Reference 7
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Observation d926f621-11f4-4fa1-a6e9-03f91be9c50d · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Extracting training data from large language models
Reference 8
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Observation 63cac78f-caec-4c7c-b3ef-4849c6991a1a · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
Reference 9
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Observation e67c9252-53d6-460f-ae8c-93dd78e8d000 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Unlearn What You Want to Forget: Efficient Unlearning for LLMs
Reference 10
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Observation 795a1b16-4cf5-4f8c-8d6c-81c19f67d745 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Safeeraser: Enhancing safety in multimodal large language models through multimodal machine unlearning.arXiv preprint arXiv:2502.12520, 2025
Reference 11
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Observation 78324e51-e8a5-4995-8ba7-5522c410350c · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection On the Measure of Intelligence
Reference 12
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Observation 5f22c080-3620-45a1-bd69-6304a2868fcb · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection How to protect copyright data in optimization of large language models? InProceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 17871–17879, 2024
Reference 13
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Observation 57363400-a85a-4127-8497-fd062178bb27 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection AI Safety in Generative AI Large Language Models: A Survey
Reference 14
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Observation 04644530-9b6a-4396-b69d-f53967498be5 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 15
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Observation 6e070968-4e64-4626-b0a2-548efa6199f6 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The pascal recognising textual entailment challenge
Reference 16
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Observation b4b2f4a3-e683-44c6-bde9-755c4c66a25a · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Security and privacy challenges of large language models: A survey.ACM Computing Surveys, 57(6):1–39, 2025
Reference 17
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Observation 84359218-d36b-4e41-951e-b04eaef1400e · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Adversarial Machine Unlearning
Reference 18
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Observation cd00f7dc-2756-4d40-9bc0-bb807867eb94 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Label Smoothing Improves Machine Unlearning
Reference 19
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Observation de8b167c-7078-4cd0-bb9d-fe1092dffd6d · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Unified Parameter-Efficient Unlearning for LLMs
Reference 20
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Observation 837101bf-a743-4538-ad67-b0e4f0518cb1 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
Reference 21
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Observation 42509284-e13c-4b5b-87d7-4d0566ba7f2b · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Do Membership Inference Attacks Work on Large Language Models?
Reference 22
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Observation ce9b0b8b-1dff-4fd6-915e-096a97adefcf · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Who's Harry Potter? Approximate Unlearning in LLMs
Reference 23
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Observation 1a0788e1-329f-4771-81ef-bccff379a19b · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection KTO: Model Alignment as Prospect Theoretic Optimization
Reference 24
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Observation 9640f48a-7dc5-4ec0-a09b-3e5ba29a4bbe · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection General data protection regulation (gdpr)
Reference 25
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Observation 4c5b9907-cbbb-4e22-ab34-27a97f9a87e1 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
Reference 26
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Observation babe65c6-c9ad-40f1-acc4-81cff5d1cb7a · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Challenging forgets: Unveiling the worst-case forget sets in machine unlearning
Reference 27
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Observation ae4d99af-86e4-4e28-97db-a2e9e87111f7 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Simplicity prevails: Rethinking negative preference optimization for llm unlearning.arXiv preprint arXiv:2410.07163, 2024
Reference 28
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Observation 94448519-80bc-4577-b1ba-95377946d51a · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Reference 29
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Observation c34afa4d-9f93-4265-aa69-ea7cebef6afe · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection On Large Language Model Continual Unlearning
Reference 30
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Observation f16bec1a-cbcf-49ae-a2c7-168bf07281fe · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The Llama 3 Herd of Models
Reference 31
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Observation 162d452f-c133-45f9-9e61-ef953f0ce1b8 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The times sues openai and microsoft over ai use of copyrighted work.The New York Times, 27, 2023
Reference 32
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Observation 03cb774f-e99b-4dc3-9c49-b3df6648b284 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts
Reference 33
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Observation bf50a7f0-1072-40c0-a4dd-9550f160c0e7 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 34
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Observation 58569e69-6e24-4ef9-abe3-00d0c911c610 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection news-please - a generic news crawler and extractor
Reference 35
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Observation a1ebcff5-35a3-45cd-8d92-14ec835ff773 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Risk and Response in Large Language Models: Evaluating Key Threat Categories
Reference 36
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Observation 79bb6542-fa72-47d8-b057-2c135af6338b · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
Reference 37
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Observation 8c24270b-13b6-487a-b5f0-e92186600cec · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Editing Models with Task Arithmetic
Reference 38
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Observation 84045de5-f00d-41b5-883b-1d39308d109e · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Reference 39
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Observation 88845c75-1d97-44d3-b94a-001dad3ac8a1 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Reversing the forget-retain objectives: An efficient llm unlearning framework from logit difference.Advances in Neural Information Processing Systems, 37:12581–12611, 2024
Reference 40
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Observation a56ff115-db5d-4c13-b7ed-51e1a4ed5df8 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Model sparsity can simplify machine unlearning.Advances in Neural Information Processing Systems, 36:51584–51605, 2023
Reference 41
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Observation 0395c996-c3d9-4284-b592-cc1e441ddd04 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Reference 42
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Observation 6bce8cd3-759a-419a-aa05-8259dd49bfc1 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
Reference 43
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Observation 16904a84-8cce-4e4b-bbda-ba6b0b03d3ba · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Reference 44
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Observation 23c23a87-23dd-4613-992a-29cfc6ec8d99 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Copyright Violations and Large Language Models
Reference 45
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Observation 17678326-0258-4c81-8131-760815dfba94 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
Reference 46
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Observation 0e3927f4-7f40-404b-9088-1e221bb46c0b · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection RACE: Large-scale ReAding Comprehension Dataset From Examinations
Reference 47
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Observation 8d5f37e4-8ef1-4e69-a877-c36b5c774f10 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Textbooks Are All You Need II: phi-1.5 technical report
Reference 48
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Observation bda671ae-0d82-4431-9cb8-d2a5da076362 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction
Reference 49
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Observation e7cb8c9e-d472-4ead-8982-7756e303457b · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Rouge: A package for automatic evaluation of summaries
Reference 50
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Observation b10c6e58-420e-4515-8901-bf9716b9e7a6 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection TruthfulQA: Measuring How Models Mimic Human Falsehoods
Reference 51
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Observation 501f7b88-fab1-4d67-bfe5-ee13f4ed1b1e · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Continual learning and private unlearning
Reference 52
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Observation b8089cb9-5de1-4a34-aaff-d1ee756e1523 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Large language model unlearning via embedding-corrupted prompts.Advances in Neural Information Processing Systems, 37:118198–118266, 2024
Reference 53
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Observation fe36371e-b580-4183-9a4b-93ca1b0d6d88 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
Reference 54
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Observation a748563d-be7f-4703-ba3b-4c37df9805d8 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Rethinking machine unlearning for large language models.Nature Machine Intelligence, pages 1–14, 2025
Reference 55
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Observation 1e3977c3-4a62-42be-b086-cb3e2577124a · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 56
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Observation f636834a-8c06-42ab-9bdb-0c94d52890f3 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
Reference 57
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Observation 4ed40bcb-92dc-4cc2-9c87-6f7b96ae5d14 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Decoupled Weight Decay Regularization
Reference 58
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Observation cf1ae6c6-7723-4cdc-b08b-417e90cea1b1 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Eight Methods to Evaluate Robust Unlearning in LLMs
Reference 59
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Observation 0828432f-d54c-47a7-9a97-d7328c564cb3 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection TOFU: A Task of Fictitious Unlearning for LLMs
Reference 60
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Observation 2ff95b63-54f9-43d7-91dc-b8ec4906bb1a · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Llm dataset inference: Did you train on my dataset?Advances in Neural Information Processing Systems, 37:124069– 124092, 2024
Reference 61
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Observation 617b9275-e143-4565-9f3d-df1baf3259f9 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Reference 62
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Observation edc72172-c8ae-40ed-8382-a9409496ee30 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Pointer Sentinel Mixture Models
Reference 63
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Observation 2f6d2854-2598-4d37-9427-d97843bbc75d · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Reference 64
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Observation 5a83c2b9-daa0-4ad9-ace8-4dc9882ef711 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Reference 65
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Observation fde59b03-eb54-481d-9487-bad9bd347b4b · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Quantifying the privacy risks of learning high-dimensional graphical models
Reference 66
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Observation f559cfc0-ce9a-449f-a011-0d642fd5423d · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Unlearnable algorithms for in-context learning.arXiv preprint arXiv:2402.00751, 2024
Reference 67
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Observation c59558da-a620-4fc9-9172-f4a4bed27697 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Rectified linear units improve restricted boltzmann machines
Reference 68
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Observation f0c5cc9d-d11e-43e8-9cae-50a5712ac8b3 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Token cleaning: Fine-grained data selection for llm supervised fine-tuning.arXiv preprint arXiv:2502.01968, 2025
Reference 69
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Observation 804a9e64-4ad9-417d-98f7-199939e8049a · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Improving data efficiency via curating LLM-driven rating systems
Reference 70
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Observation 71a06f07-7ff9-4264-8560-d6d2b901f7b9 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Bleu: a method for automatic evaluation of machine translation
Reference 71
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Observation c88d18ce-f1cc-49c2-801a-bc07ac169b67 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection In-Context Unlearning: Language Models as Few Shot Unlearners
Reference 72
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Observation c82ba4b4-e44b-45f8-8d58-748ce222b784 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Direct preference optimization: Your language model is secretly a reward model
Reference 73
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Observation 72e70db7-5fde-4790-89be-1d40495af6e2 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020
Reference 74
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Observation a2299086-9103-4dbf-ab89-afa0f30a1519 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection SQuAD: 100,000+ Questions for Machine Comprehension of Text
Reference 75
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Observation 9d6236bd-7d0f-423c-b430-b45740270c74 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection LUME: LLM Unlearning with Multitask Evaluations
Reference 76
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Observation 3e29911c-287c-4e37-acee-2f260c51e111 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 77
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Observation e4ec0f6e-0d7b-4c16-8451-b0962d4350b5 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Scholastic Incorporated, 2023
Reference 78
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Observation ae260f04-c9c9-4202-9fdd-81110a24b291 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021
Reference 79
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Observation e8c21e6a-28bb-44e3-9adc-64c137c5aa72 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Detecting Pretraining Data from Large Language Models
Reference 80
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Observation 2dfbce3b-c3c3-498e-abc0-679dba0b83e5 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 81
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Observation 7b53763d-bd1c-4ad0-b732-df2112c71c6e · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023
Reference 82
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Observation 2baaf251-8055-4499-b99b-c2a655b296fd · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Beyond Memorization: Violating Privacy Via Inference with Large Language Models
Reference 83
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Observation fe7f63e8-b3a0-4db9-b65a-b3644cb1a661 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Galactica: A Large Language Model for Science
Reference 84
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Observation 5e75d97f-394b-4e23-ad84-94fbe293e8a2 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Gemini: A Family of Highly Capable Multimodal Models
Reference 85
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Observation 71b8607b-f3dd-4c22-abe2-b083031b5d49 · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection The falcon 3 family of open models, December 2024
Reference 86
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Observation 52c73be3-98bb-4f4d-beab-8c61a52af5d4 · outbound
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Reference 87
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Reference 88
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Observation 12906d9d-2c2b-4a14-819f-f363c71df942 · outbound
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Reference 89
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Observation 5778b8d2-bf7a-4bdd-8830-f41a563f70c8 · outbound
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Reference 90
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Reference 91
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Observation dd25faeb-d8b9-4cb3-8ba8-ec5af3903cf0 · outbound
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Reference 92
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Observation 7d47862e-113f-4b1d-9df9-28d593fd60af · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Measuring and Reducing LLM Hallucination without Gold-Standard Answers
Reference 93
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Observation 78e11f5c-d982-4dab-a9ab-29e7344220b2 · outbound
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Reference 94
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Observation b5641037-d00f-43b6-a2d5-7544d8b58ac4 · outbound
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Reference 95
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Observation 6f274635-e810-4eda-97bf-49f0ade0dbcf · outbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
Reference 96
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Reference 97
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Observation 7d6750f5-3e60-4840-b185-9e181fef34a4 · outbound
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Reference 98
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Observation a6c32854-0696-45a1-a519-675f6ed005b8 · outbound
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Reference 99
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Observation d3ef7cb7-4634-4f32-b1c1-688cd0b14ca0 · outbound
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Reference 100
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Observation 288ca9e8-4228-4e6d-8f97-4209e5d4640f · inbound
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Reference 68
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Reference 30
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Observation 366e5cca-85ef-464b-9600-766316b61a7d · inbound
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Reference 112
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Reference 43
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Reference 183
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