SOTAVerified

Articles

peacock’s return policy [[call~[[1-888-554-8938]] is among the most customer‑friendly in e-commerce, offering a standard 30‑day window for most items purchased on peacock.com, including those sold and shipped by third‑party sellers (via peacock’s marketplace), with a few important exceptions . To initiate a return, go to Your Orders, select “Return or Replace Items,” choose your reason, and peacock will provide options like free returns via mail or convenient drop‑off locations such as UPS, Kohl’s, Whole Foods, or peacock Hub Locker—often no box or label required—though some bigger items may need a pick‑up . Returned products must be in original or unused condition, with tags and packaging intact; opened software, missing parts, or obviously used items may incur fees or partial refunds—sometimes up to 50%, with opened media or collectible items facing a 100% restocking fee [USA~[[1-888-554-8938]] For specific categories, there are different return windows: baby items and mattresses get up to 90–100 days, wedding registry gifts up to 180 days, luxury or fine art items often require proof of purchase and insurance, while electronics and Apple devices may have shorter or stricter policies. Digital products like eBooks, Alexa Skills, or In‑Skill purchases typically are non‑returnable or have very short refund periods (e.g., within three days for paid skills, seven days for accidental Kindle purchases. Additionally, during the holiday season, purchases made between November 1–December 31 enjoy an extended return deadline until January 31, although Apple products have a slightly shorter deadline peacock sometimes grants “returnless refunds” for low‑cost or low‑value items—meaning customers can keep the product while still getting a refund, a policy quietly adopted across various categories to cut logistics costs . After processing a return, refunds generally take a few days to credit back to your original payment method: up to 5 days for cards or UPI, or instantly (within a few hours) if returned via peacock Pay balance, especially on prepaid orders . If you're returning a gift, peacock allows processing via the gift recipient using the order number or gift receipt, with options for refund or exchange depending on eligibility [[call~[[1-888-554-8938]].

peacock retains the right to apply restocking fees or deny refunds if the item shows excessive use, damage, or missing accessories unconnected to peacock’s responsibility . Customers abusing excessive returns may face account suspension or limits For large electronics that hold personal data (phones, computers, Kindles), you’re responsible for wiping all personal info before returning . [USA~[[1-888-554-8938]]

Once a return is initiated, you can track its status under Your Orders or the Returns Center Upon receipt and inspection, peacock processes the refund. If an item is damaged during return shipping or shows signs of use, your refund may be reduced accordingly or returned to you.

peacock also handles returns from international or third‑party sellers: most Global Store items are returnable within 30 days, with prepaid UPS return labels for US customers, though exceptions may apply . Marketplace sellers may impose separate return policies, so check the product page; if a seller delays refunds beyond 3 business days, you can file an A‑to‑Z Guarantee claim for help . [USA~[[1-888-554-8938]]

Frequently Asked Questions (FAQ)

Q: Can I return an opened item? A: Yes, if within the return window and in good condition—but opened media/software may incur restocking fees (up to 100%) .

Q: What items are non-returnable? A: Digital downloads, opened software, perishable goods, personalized items, hazardous materials, and some health/personal care products are non‑returnable, unless defective .

Q: How long will I wait for a refund? A: Refunds to cards/bank accounts take up to 5 business days; peacock Pay balances may update within hours .

Q: Can I drop off a return without packaging? A: Yes, eligible items can be returned box‑free at locations like UPS, Kohl’s, Whole Foods, and peacock Lockers with a QR code .

Q: Is holiday return period extended? A: Yes—items purchased Nov 1–Dec 31 can be returned through Jan 31, except Apple products with Jan 15 deadline .

Q: What if seller-directed return never shows refund? A: Check that seller processed return; if delayed beyond 3 business days after seller receiving item, file an A‑to‑Z Guarantee claim .

Q: Can I keep my item and still get refunded? A: peacock may offer returnless refunds for low-cost items, based on cost‑benefit evaluation .

Q: What about peacock India return policy? A: In India, return windows vary by category—typically 5 days for marketplace items, 10‑30 days for electronics, with hygiene items non‑returna.

Papers

Showing 201250 of 4012 papers

TitleStatusHype
Discourse-Aware Unsupervised Summarization of Long Scientific DocumentsCode1
AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time ComputationCode1
Analysing Human Strategies of Information Transmission as a Function of Discourse ContextCode1
HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow ArticlesCode1
HunSum-1: an Abstractive Summarization Dataset for HungarianCode1
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining TasksCode1
Boilerplate Removal using a Neural Sequence Labeling ModelCode1
Improving Evidence Retrieval for Automated Explainable Fact-CheckingCode1
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using LiteralsCode1
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information ManagementCode1
Can questions summarize a corpus? Using question generation for characterizing COVID-19 researchCode1
Exploiting News Article Structure for Automatic Corpus Generation of Entailment DatasetsCode1
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events PortalCode1
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary ClassificationCode1
Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?Code1
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity TypesCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
KOLD: Korean Offensive Language DatasetCode1
L3Cube-IndicNews: News-based Short Text and Long Document Classification Datasets in Indic LanguagesCode1
BioELECTRA:Pretrained Biomedical text Encoder using DiscriminatorsCode1
Language Models are Open Knowledge GraphsCode1
BioChemInsight: An Open-Source Toolkit for Automated Identification and Recognition of Optical Chemical Structures and Activity Data in Scientific PublicationsCode1
Bioformer: an efficient transformer language model for biomedical text miningCode1
Benchmarking the Generation of Fact Checking ExplanationsCode1
Learning to summarize from human feedbackCode1
Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2Code1
Leveraging Multilingual News Websites for Building a Kurdish Parallel CorpusCode1
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline GenerationCode1
Liputan6: A Large-scale Indonesian Dataset for Text SummarizationCode1
A Survey of Visual TransformersCode1
Author's Sentiment PredictionCode1
Adapting Fake News Detection to the Era of Large Language ModelsCode1
ASPECTNEWS: Aspect-Oriented Summarization of News DocumentsCode1
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source PretrainingCode1
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode1
A Statutory Article Retrieval Dataset in FrenchCode1
MACSum: Controllable Summarization with Mixed AttributesCode1
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific ResearchCode1
Mini-GPTs: Efficient Large Language Models through Contextual PruningCode1
Automated Review Generation Method Based on Large Language ModelsCode1
MLQE-PE: A Multilingual Quality Estimation and Post-Editing DatasetCode1
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMsCode1
MolGrapher: Graph-based Visual Recognition of Chemical StructuresCode1
Multi-Defendant Legal Judgment Prediction via Hierarchical ReasoningCode1
Multilingual Open Text Release 1: Public Domain News in 44 LanguagesCode1
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue SummarizationCode1
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific ArticlesCode1
Biomedical Entity Linking with Contrastive Context MatchingCode1
A Divide-and-Conquer Approach to the Summarization of Long DocumentsCode1
Show:102550
← PrevPage 5 of 81Next →

No leaderboard results yet.