text-classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 1,083 papers with code (3,054 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.

• LaMP: When Large Language Models Meet Personalization
  22 Apr 2023 4 repositories listed Syntology ran 1 of 13 samples · 12 unverified · 1 pointer-only (licence)
  This paper highlights the importance of personalization in large language models and introduces the LaMP benchmark -- a novel benchmark for training and evaluating language models for producing personalized outputs.
• MGTBench: Benchmarking Machine-Generated Text Detection
  26 Mar 2023 4 repositories listed Syntology ran 5 of 26 samples · 21 unverified
  Extensive evaluations on public datasets with curated texts generated by various powerful LLMs such as ChatGPT-turbo and Claude demonstrate the effectiveness of different detection methods.
• Augmenting Interpretable Models with LLMs during Training
  23 Sep 2022 4 repositories listed Syntology ran 2 of 12 samples · 10 unverified · 10 pointer-only (licence)
  Recent large language models (LLMs) have demonstrated remarkable prediction performance for a growing array of tasks.
• SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
  10 Aug 2024 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  With support of over 300+ LLMs and 50+ MLLMs, SWIFT stands as the open-source framework that provide the most comprehensive support for fine-tuning large models.
• ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
  28 Sep 2023 3 repositories listed Syntology ran 5 of 9 samples · 4 unverified · 8 pointer-only (licence)
  We propose a memory-efficient finetuning algorithm for large language models (LLMs) that supports finetuning LLMs with 65B parameters in 2/3/4-bit precision on as little as one 24GB GPU.
• Multiscale Positive-Unlabeled Detection of AI-Generated Texts
  29 May 2023 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Recent releases of Large Language Models (LLMs), e.
• Towards Answering Climate Questionnaires from Unstructured Climate Reports
  11 Jan 2023 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  The topic of Climate Change (CC) has received limited attention in NLP despite its urgency.
• Correlation Networks for Extreme Multi-label Text Classification
  23 Aug 2022 3 repositories listed
  This paper develops the Correlation Networks (CorNet) architecture for the extreme multi-label text classification (XMTC) task, where the objective is to tag an input text sequence with the most relevant subset of…
• ZeroGen: Efficient Zero-shot Learning via Dataset Generation
  16 Feb 2022 3 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 7 pointer-only (licence)
  There is a growing interest in dataset generation recently due to the superior generative capacity of large pre-trained language models (PLMs).
• Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
  13 Sep 2021 3 repositories listed
  To this end, previous work either makes use of auxiliary data at parameter server to verify the received gradients (e.
• Generating Natural Language Attacks in a Hard Label Black Box Setting
  29 Dec 2020 3 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Our proposed attack strategy leverages population-based optimization algorithm to craft plausible and semantically similar adversarial examples by observing only the top label predicted by the target model.
• Transformer Interpretability Beyond Attention Visualization
  17 Dec 2020 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Self-attention techniques, and specifically Transformers, are dominating the field of text processing and are becoming increasingly popular in computer vision classification tasks.
• X-Class: Text Classification with Extremely Weak Supervision
  24 Oct 2020 3 repositories listed
  Finally, we pick the most confident documents from each cluster to train a text classifier.
• Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
  1 Oct 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To build an interpretable neural text classifier, most of the prior work has focused on designing inherently interpretable models or finding faithful explanations.
• BERTweet: A pre-trained language model for English Tweets
  20 May 2020 3 repositories listed
  We present BERTweet, the first public large-scale pre-trained language model for English Tweets.
• HDLTex: Hierarchical Deep Learning for Text Classification
  24 Sep 2017 3 repositories listed
  This is because along with this growth in the number of documents has come an increase in the number of categories.
• Survey on Abstractive Text Summarization: Dataset, Models, and Metrics
  22 Dec 2024 2 repositories listed
  This survey examines the state of the art in text summarization models, with a specific focus on the abstractive summarization approach.
• Text-Based Detection of On-Hold Scripts in Contact Center Calls
  13 Jul 2024 2 repositories listed
  The task of finding hold scripts in dialogue was formulated as a multiclass text classification problem with three mutually exclusive classes: scripts for putting a client on hold, scripts for returning to a client, and…
• Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset
  17 May 2024 2 repositories listed
  The datasets and scripts associated with CFLUE are openly accessible at https://github.
• PEACH: Pretrained-embedding Explanation Across Contextual and Hierarchical Structure
  21 Apr 2024 2 repositories listed
  In this work, we propose a novel tree-based explanation technique, PEACH (Pretrained-embedding Explanation Across Contextual and Hierarchical Structure), that can explain how text-based documents are classified by using…
• SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
  21 Mar 2024 2 repositories listed
  It also surpasses the top-performer of either Manifold MixUp or SynerMix-Intra by 0.
• Defending Against Unforeseen Failure Modes with Latent Adversarial Training
  8 Mar 2024 2 repositories listed
  In this work, we utilize latent adversarial training (LAT) to defend against vulnerabilities without leveraging knowledge of what they are or using inputs that elicit them.
• Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
  27 Feb 2024 2 repositories listed
  This can be seen as assessing a form of calibration, which, in the context of text classification, Baan et al.
• KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
  21 Feb 2024 2 repositories listed
  SemEval-2024 Task 8 is focused on multigenerator, multidomain, and multilingual black-box machine-generated text detection.
• Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
  12 Feb 2024 2 repositories listed
  We ask the following question in this study: are 01 loss sign activation neural networks hard to deceive with a popular black box text adversarial attack program called TextFooler?
• Density Adaptive Attention is All You Need: Robust Parameter-Efficient Fine-Tuning Across Multiple Modalities
  20 Jan 2024 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We propose the Multi-Head Density Adaptive Attention Mechanism (DAAM), a novel probabilistic attention framework that can be used for Parameter-Efficient Fine-tuning (PEFT), and the Density Adaptive Transformer (DAT),…
• TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance
  21 Dec 2023 2 repositories listed
  We introduce TraceFL, a fine-grained neuron provenance capturing mechanism that identifies clients responsible for a global model's prediction by tracking the flow of information from individual clients to the global…
• Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
  13 Dec 2023 2 repositories listed
  Most assume that catastrophic forgetting is the biggest obstacle to achieving superior IL performance and propose various techniques to overcome this issue.
• TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
  29 Nov 2023 2 repositories listed
  Wide us of this language on social media platforms such as Twitter, Instagram, or Tiktok and strategic position of the country in the world politics makes it appealing for the social network researchers and industry.
• DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
  10 Oct 2023 2 repositories listed
  Multi-label text classification (MLTC) tasks in the medical domain often face the long-tail label distribution problem.

Syntology lines on 12 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.