Self Assessment
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models
arXiv:2606.03846v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate remarkable performance across diverse tasks, but they often generate responses that appear plausible while being factually incorrect. This problem is compounded by the lack of explicit uncertainty estimates, which makes it difficult for users to judge the reliability of model outputs. Existing uncertainty quantification methods typically rely on indirect signals, such as entropy across sampled generations.
[Written Question] Taxation: Self-assessment
Question by: Harriet Cross Answering Body: Treasury Question: To ask the Chancellor of the Exchequer, what estimate she has made of compliance costs incurred by businesses as a result of Making Tax Digital requirements.
[Written Question] Income Tax: Self-assessment
Question by: Lord Mackinlay of Richborough Answering Body: Treasury Question: To ask His Majesty's Government how many letters about the requirement to file quarterly Making Tax Digital returns have been sent out in error to taxpayers whose qualifying income is below the initial £50,000 threshold; and if so, what has been the maili
IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension
Announce Type: new Abstract: Self-supervised learning (SSL) has emerged as a powerful paradigm for learning meaningful representations from unlabeled data. However, the standard protocol for evaluating these representations, linear probing, is computationally expensive, sensitive to hyperparameters, and provides limited insight into the geometric structure of the representation space. In this work, motivated by connections between neural network generalization and intrinsic dimension (ID) we...
[Written Question] To ask the Chancellor of the Exchequer, if she will allow people with power of attorney to use HMRC'
Question by: Kevin Bonavia Answering Body: Treasury Question: To ask the Chancellor of the Exchequer, if she will allow people with power of attorney to use HMRC's free online system to manage their donor's self assessment tax return.
Protocol for evaluating ChatGPT in biomedical association generation and verification using a RAG-enabled, cross-model majority voting workflow
new Abstract: We present a protocol to evaluate ChatGPT's ability to generate disease-centric biomedical associations. It outlines how we generate the associations, validate the biological entities using biomedical ontologies, and verify associations using literature. The protocol includes a self-consistency strategy to assess generative reliability across ChatGPT models.
UK £1,000 tax update as HMRC issues new alert
UK £1,000 tax update as HMRC issues new alert The taxman has launched an updated online tool HMRC has issued guidance to people across Britain to ensure they don't overlook completing a vital check. Millions of UK workers with side hustles, rental income or freelance earnings are being urged to check if they need to file a tax return following a fresh alert from HM Revenue & Customs. The tax authority has launched an updated online tool designed to help people determine whether they need to...
ITR filing FY 2025-26: Top 10 points to check before submitting tax return
It is that time of the year again, when focus shifts to Income Tax Return(‘ITR’) filing. The tax filing deadline for the Financial Year (‘FY’) 2025–26 is approaching and taxpayers have commenced to gather documents like Form No. 16, other tax deduction statements, investment proofs, bank interest statements, capital gains reports, and other necessary financial information for preparing and filing their tax returns. Besides compliance, ITR also serves as a vital document frequently reviewed...
MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Domain Risks in LLMs
arXiv:2511.07107v3 Announce Type: replace Abstract: Ensuring the safety of Large Language Models (LLMs) is critical for real-world deployment. However, current safety measures often fail to address implicit, domain-specific risks. To investigate this gap, we introduce a dataset of 3,000 annotated queries spanning education, finance, and management.
Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
Announce Type: new Abstract: Training accurate medical image segmentation models requires large amounts of densely annotated data, which is costly and time-consuming to obtain. Semi-supervised learning (SSL) alleviates this by learning from both abundant unlabeled data and limited labeled data. However, most modern SSL methods rely on pseudolabels for unlabeled data, and typically assess their reliability through model confidence or uncertainty, measures that are self-referential and lack...