TAR

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 35 papers with code (111 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering
  11 Dec 2019 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  We then used this dataset to train Spanish QA systems by fine-tuning a Multilingual-BERT model.
• Tamper-Resistant Safeguards for Open-Weight LLMs
  1 Aug 2024 2 repositories listed Syntology ran 9 of 16 samples · 7 unverified
  Rapid advances in the capabilities of large language models (LLMs) have raised widespread concerns regarding their potential for malicious use.
• On the Intrinsic Dimensionality of Image Representations
  26 Mar 2018 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  This paper addresses the following questions pertaining to the intrinsic dimensionality of any given image representation: (i) estimate its intrinsic dimensionality, (ii) develop a deep neural network based non-linear…
• Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization
  14 Jun 2025 1 repository listed
  We introduce Disruption Masking, a technique in which we only allow updating weights, where the signs of the unlearning gradient and the retaining gradient are the same.
• A Generalised and Adaptable Reinforcement Learning Stopping Method
  3 May 2025 1 repository listed
  This paper presents a Technology Assisted Review (TAR) stopping approach based on Reinforcement Learning (RL).
• Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
  13 Oct 2024 1 repository listed Syntology ran 12 of 12 samples · 0 unverified
  Second, instead of applying uniform perturbation across all layers, T-Vaccine only applies perturbation to the safety-critical layers while keeping other layers frozen during training.
• FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance
  15 Aug 2024 1 repository listed
  Then, TAR refines the correlation matrix between cross-frame textual conditions and latent features along the time dimension.
• Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation
  30 Jun 2024 1 repository listed
  In this paper, we propose an alternative approach that still relies on neural models, but leverages dense representations and relevance feedback to enhance screening prioritisation, without the need for costly model…
• Binarized Diffusion Model for Image Super-Resolution
  9 Jun 2024 1 repository listed Syntology ran 8 of 8 samples · 0 unverified
  Nonetheless, due to the model structure and the multi-step iterative attribute of DMs, existing binarization methods result in significant performance degradation.
• Track Anything Rapter(TAR)
  19 May 2024 1 repository listed
  Object tracking is a fundamental task in computer vision with broad practical applications across various domains, including traffic monitoring, robotics, and autonomous vehicle tracking.
• Contextualization with SPLADE for High Recall Retrieval
  7 May 2024 1 repository listed
  High Recall Retrieval (HRR), such as eDiscovery and medical systematic review, is a search problem that optimizes the cost of retrieving most relevant documents in a given collection.
• RLStop: A Reinforcement Learning Stopping Method for TAR
  3 May 2024 1 repository listed
  We present RLStop, a novel Technology Assisted Review (TAR) stopping rule based on reinforcement learning that helps minimise the number of documents that need to be manually reviewed within TAR applications.
• A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR
  16 Jan 2024 1 repository listed
  In this context, we show that there is no need for further pre-training if a domain-specific BERT backbone is used within the active learning pipeline.
• Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review
  5 Dec 2023 1 repository listed
  Technology Assisted Review (TAR) stopping rules aim to reduce the cost of manually assessing documents for relevance by minimising the number of documents that need to be examined to ensure a desired level of recall.
• Stopping Methods for Technology Assisted Reviews based on Point Processes
  14 Nov 2023 1 repository listed
  Technology Assisted Review (TAR), which aims to reduce the effort required to screen collections of documents for relevance, is used to develop systematic reviews of medical evidence and identify documents that must be…
• Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
  2 Sep 2023 1 repository listed
  In this study, leveraging a combination of the properties of k-space data and the diffusion process, our novel scheme focuses on mining the multi-frequency prior with different strategies to pre-serve fine texture…
• Opening the TAR Black Box: Developing an Interpretable System for eDiscovery Using the Fuzzy ARTMAP Neural Network
  7 May 2023 1 repository listed
  This foundational research provides additional support for using the Fuzzy ARTMAP neural network as a classification algorithm in the TAR domain.
• MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction
  20 Jan 2023 1 repository listed
  Due to the continuing colossal socio-economic losses caused by traffic accidents, it is of prime importance to precisely forecast the traffic accident risk to reduce future accidents.
• UniFace: Unified Cross-Entropy Loss for Deep Face Recognition
  1 Jan 2023 1 repository listed
  To bridge this gap, we design a UCE (Unified Cross-Entropy) loss for face recognition model training, which is built on the vital constraint that all the positive sample-to-class similarities shall be larger than the…
• SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
  16 Nov 2022 1 repository listed
  On the other hand, in the forecasting community, general-purpose tree-based regression algorithms (forests, gradient-boosting) have become popular recently due to their ease of use and accuracy.
• Face Recognition In Children: A Longitudinal Study
  4 Apr 2022 1 repository listed
  Our experiment using YFA and a state-of-the-art, quality-aware face matcher (MagFace) indicates 98.
• TARexp: A Python Framework for Technology-Assisted Review Experiments
  23 Feb 2022 1 repository listed
  Technology-assisted review (TAR) is an important industrial application of information retrieval (IR) and machine learning (ML).
• It's All in the Head: Representation Knowledge Distillation through Classifier Sharing
  18 Jan 2022 1 repository listed
  Such direct methods may be limited in transferring high-order dependencies embedded in the representation vectors, or in handling the capacity gap between the teacher and student models.
• Euphemistic Phrase Detection by Masked Language Model
  10 Sep 2021 1 repository listed
  It is a well-known approach for fringe groups and organizations to use euphemisms -- ordinary-sounding and innocent-looking words with a secret meaning -- to conceal what they are discussing.
• TAR on Social Media: A Framework for Online Content Moderation
  29 Aug 2021 1 repository listed
  Content moderation (removing or limiting the distribution of posts based on their contents) is one tool social networks use to fight problems such as harassment and disinformation.
• On Minimizing Cost in Legal Document Review Workflows
  18 Jun 2021 1 repository listed
  Technology-assisted review (TAR) refers to human-in-the-loop machine learning workflows for document review in legal discovery and other high recall review tasks.
• TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
  13 May 2021 1 repository listed
  This motivates us to develop a generalized model to detect different types of deepfakes.
• DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
  1 Apr 2021 1 repository listed
  Because traffic accidents cause huge social and economic losses, it is of prime importance to precisely predict the traffic accident risk for reducing future accidents.
• Incorporating a Local Translation Mechanism into Non-autoregressive Translation
  12 Nov 2020 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  In this work, we introduce a novel local autoregressive translation (LAT) mechanism into non-autoregressive translation (NAT) models so as to capture local dependencies among tar-get outputs.
• Infant-ID: Fingerprints for Global Good
  7 Oct 2020 1 repository listed
  In many of the least developed and developing countries, a multitude of infants continue to suffer and die from vaccine-preventable diseases and malnutrition.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.