Informativeness

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 266 papers with code (735 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.

• Learning to Navigate for Fine-grained Classification
  2 Sep 2018 12 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  In consideration of intrinsic consistency between informativeness of the regions and their probability being ground-truth class, we design a novel training paradigm, which enables Navigator to detect most informative…
• Large Language Models Are Human-Level Prompt Engineers
  3 Nov 2022 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  By conditioning on natural language instructions, large language models (LLMs) have displayed impressive capabilities as general-purpose computers.
• NRPA: Neural Recommendation with Personalized Attention
  29 May 2019 5 repositories listed
  In this paper we propose a neural recommendation approach with personalized attention to learn personalized representations of users and items from reviews.
• Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
  16 Sep 2018 4 repositories listed
  Responses generated by neural conversational models tend to lack informativeness and diversity.
• Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
  14 May 2018 4 repositories listed
  We introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations.
• Dataset Distillation via Factorization
  30 Oct 2022 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper, we study \xw{dataset distillation (DD)}, from a novel perspective and introduce a \emph{dataset factorization} approach, termed \emph{HaBa}, which is a plug-and-play strategy portable to any existing DD…
• BARTScore: Evaluating Generated Text as Text Generation
  22 Jun 2021 3 repositories listed
  In this work, we conceptualize the evaluation of generated text as a text generation problem, modeled using pre-trained sequence-to-sequence models.
• Response Generation by Context-aware Prototype Editing
  19 Jun 2018 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Open domain response generation has achieved remarkable progress in recent years, but sometimes yields short and uninformative responses.
• ICYM2I: The illusion of multimodal informativeness under missingness
  22 May 2025 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified
  Multimodal learning is of continued interest in artificial intelligence-based applications, motivated by the potential information gain from combining different types of data.
• WhisperNER: Unified Open Named Entity and Speech Recognition
  12 Sep 2024 2 repositories listed
  In this paper, we introduce WhisperNER, a novel model that allows joint speech transcription and entity recognition.
• DeepEdit: Knowledge Editing as Decoding with Constraints
  19 Jan 2024 2 repositories listed
  How to edit the knowledge in multi-step reasoning has become the major challenge in the knowledge editing (KE) of large language models (LLMs).
• infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
  30 May 2023 2 repositories listed
  However, not all samples in these datasets are equally valuable for learning, as some may be redundant or noisy.
• Summarizing Stream Data for Memory-Constrained Online Continual Learning
  26 May 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Through maintaining the consistency of training gradients and relationship to the past tasks, the summarized samples are more representative for the stream data compared to the original images.
• Gaussian Switch Sampling: A Second Order Approach to Active Learning
  16 Feb 2023 2 repositories listed
  To alleviate this issue, we propose a grounded second-order definition of information content and sample importance within the context of active learning.
• Task-Oriented Communication for Edge Video Analytics
  25 Nov 2022 2 repositories listed
  With the development of artificial intelligence (AI) techniques and the increasing popularity of camera-equipped devices, many edge video analytics applications are emerging, calling for the deployment of…
• ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
  22 Oct 2022 2 repositories listed
  To improve the quality of dataset synthesis, we propose a progressive zero-shot dataset generation framework, ProGen, which leverages the feedback from the task-specific model to guide the generation of new training…
• Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
  13 Oct 2022 2 repositories listed Syntology ran 7 of 13 samples · 6 unverified
  Unlabeled data examples awaiting annotations contain open-set noise inevitably.
• MetAug: Contrastive Learning via Meta Feature Augmentation
  10 Mar 2022 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  We perform a meta learning technique to build the augmentation generator that updates its network parameters by considering the performance of the encoder.
• BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation
  18 Oct 2021 2 repositories listed
  There is currently no simple, unified way to compare, analyse or evaluate metrics across a representative set of tasks.
• Graph Prototypical Networks for Few-shot Learning on Attributed Networks
  23 Jun 2020 2 repositories listed
  By constructing a pool of semi-supervised node classification tasks to mimic the real test environment, GPN is able to perform \textit{meta-learning} on an attributed network and derive a highly generalizable model for…
• Foreseeing the Benefits of Incidental Supervision
  9 Jun 2020 2 repositories listed
  Real-world applications often require improved models by leveraging a range of cheap incidental supervision signals.
• Capturing Global Informativeness in Open Domain Keyphrase Extraction
  28 Apr 2020 2 repositories listed
  Open-domain KeyPhrase Extraction (KPE) aims to extract keyphrases from documents without domain or quality restrictions, e.
• Theory and Evaluation Metrics for Learning Disentangled Representations
  26 Aug 2019 2 repositories listed
  We make two theoretical contributions to disentanglement learning by (a) defining precise semantics of disentangled representations, and (b) establishing robust metrics for evaluation.
• Pragmatically Informative Text Generation
  2 Apr 2019 2 repositories listed
  We improve the informativeness of models for conditional text generation using techniques from computational pragmatics.
• Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
  17 Feb 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Our results show that networks trained to regress to the ground truth targets for labeled data and to simultaneously learn to rank unlabeled data obtain significantly better, state-of-the-art results for both IQA and…
• Domain Agnostic Real-Valued Specificity Prediction
  13 Nov 2018 2 repositories listed
  Sentence specificity quantifies the level of detail in a sentence, characterizing the organization of information in discourse.
• Prosody Modifications for Question-Answering in Voice-Only Settings
  11 Jun 2018 2 repositories listed
  Many popular form factors of digital assistants---such as Amazon Echo, Apple Homepod, or Google Home---enable the user to hold a conversation with these systems based only on the speech modality.
• Neural Extractive Summarization with Side Information
  14 Apr 2017 2 repositories listed
  Most extractive summarization methods focus on the main body of the document from which sentences need to be extracted.
• Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
  7 Aug 2015 2 repositories listed Syntology ran 7 of 7 samples · 0 unverified · 3 pointer-only (licence)
  Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact both on usability and perceived quality.
• Multi-Preference Lambda-weighted Listwise DPO for Dynamic Preference Alignment
  24 Jun 2025 1 repository listed
  While large-scale unsupervised language models (LMs) capture broad world knowledge and reasoning capabilities, steering their behavior toward desired objectives remains challenging due to the lack of explicit…

Syntology lines on 10 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.