Open-Ended Question Answering

Description from the archive archive 2025-07-28.

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

2 datasets 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 228 papers with code (796 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.

• ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
  5 May 2017 26 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases.
• Strategies for Pre-training Graph Neural Networks
  29 May 2019 11 repositories listed Syntology ran 10 of 14 samples · 4 unverified · 2 pointer-only (licence)
  Many applications of machine learning require a model to make accurate pre-dictions on test examples that are distributionally different from training ones, while task-specific labels are scarce during training.
• Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
  10 Apr 2020 10 repositories listed Syntology ran 2 of 22 samples · 20 unverified
  Therefore, in the present paper, we conduct exploration study in order to improve spatiotemporal 3D CNNs as follows: (i) Recently proposed large-scale video datasets help improve spatiotemporal 3D CNNs in terms of video…
• Hybrid Task Cascade for Instance Segmentation
  22 Jan 2019 5 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  In exploring a more effective approach, we find that the key to a successful instance segmentation cascade is to fully leverage the reciprocal relationship between detection and segmentation.
• Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound
  9 Nov 2020 4 repositories listed
  We analyze a family of supervised learning algorithms based on sample compression schemes that are stable, in the sense that removing points from the training set which were not selected for the compression set does not…
• Coresets for Data-efficient Training of Machine Learning Models
  5 Jun 2019 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Here we develop CRAIG, a method to select a weighted subset (or coreset) of training data that closely estimates the full gradient by maximizing a submodular function.
• Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
  28 May 2022 3 repositories listed
  By fine-tuning on downstream tasks, Point-M2AE achieves 86.
• HEAR: Holistic Evaluation of Audio Representations
  6 Mar 2022 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  The aim of the HEAR benchmark is to develop a general-purpose audio representation that provides a strong basis for learning in a wide variety of tasks and scenarios.
• Robust Optimization as Data Augmentation for Large-scale Graphs
  19 Oct 2020 3 repositories listed Syntology ran 3 of 15 samples · 12 unverified
  Data augmentation helps neural networks generalize better by enlarging the training set, but it remains an open question how to effectively augment graph data to enhance the performance of GNNs (Graph Neural Networks).
• Online Class-Incremental Continual Learning with Adversarial Shapley Value
  31 Aug 2020 3 repositories listed
  As image-based deep learning becomes pervasive on every device, from cell phones to smart watches, there is a growing need to develop methods that continually learn from data while minimizing memory footprint and power…
• OPIEC: An Open Information Extraction Corpus
  28 Apr 2019 3 repositories listed
  In this paper, we release, describe, and analyze an OIE corpus called OPIEC, which was extracted from the text of English Wikipedia.
• Learning to Cluster Faces on an Affinity Graph
  4 Apr 2019 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Face recognition sees remarkable progress in recent years, and its performance has reached a very high level.
• Convolutional Analysis Operator Learning: Dependence on Training Data
  21 Feb 2019 3 repositories listed
  Convolutional analysis operator learning (CAOL) enables the unsupervised training of (hierarchical) convolutional sparsifying operators or autoencoders from large datasets.
• Deep learning-based electroencephalography analysis: a systematic review
  16 Jan 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  To help the field progress, we provide a list of recommendations for future studies and we make our summary table of DL and EEG papers available and invite the community to contribute.
• On the Dimensionality of Word Embedding
  11 Dec 2018 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper, we provide a theoretical understanding of word embedding and its dimensionality.
• Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering
  26 Feb 2024 2 repositories listed
  Open-ended question answering requires models to find appropriate evidence to form wellreasoned, comprehensive and helpful answers.
• When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
  23 May 2023 2 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  Due to the task difficulty and data scarcity in the Financial NLP domain, we explore when aggregating such diverse skills from multiple datasets with MTL can work.
• Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
  8 Apr 2023 2 repositories listed Syntology ran 0 of 14 samples · 14 unverified
  As machine learning has been deployed ubiquitously across applications in modern data science, algorithmic fairness has become a great concern.
• SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
  9 Mar 2023 2 repositories listed
  The goal of continual learning is to improve the performance of recognition models in learning sequentially arrived data.
• Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
  18 Feb 2023 2 repositories listed
  In this work, we address this problem for the first time, by proving that examples that contribute the most to contrastive SSL are those that have the most similar augmentations to other examples, in expectation.
• Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
  12 Feb 2023 2 repositories listed
  To explain the predicted answers and evaluate the reasoning abilities of models, several studies have utilized underlying reasoning (UR) tasks in multi-hop question answering (QA) datasets.
• Training language models to summarize narratives improves brain alignment
  21 Dec 2022 2 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  We show that training language models for deeper narrative understanding results in richer representations that have improved alignment to human brain activity.
• When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
  10 Nov 2022 2 repositories listed
  Hence, there are often limits on how much-labeled data is available for training.
• Linearly Mapping from Image to Text Space
  30 Sep 2022 2 repositories listed Syntology ran 5 of 14 samples · 9 unverified
  Prior work has shown that pretrained LMs can be taught to caption images when a vision model's parameters are optimized to encode images in the language space.
• CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
  13 Jul 2022 2 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Continual learning requires incremental compatibility with a sequence of tasks.
• Testing the Ability of Language Models to Interpret Figurative Language
  26 Apr 2022 2 repositories listed Syntology ran 1 of 14 samples · 13 unverified
  Figurative and metaphorical language are commonplace in discourse, and figurative expressions play an important role in communication and cognition.
• Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
  15 Mar 2022 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  This work thus proposes a novel active learning framework for realistic dataset annotation.
• Parameter Differentiation based Multilingual Neural Machine Translation
  27 Dec 2021 2 repositories listed
  Further analyses reveal that the parameter sharing configuration obtained by our method correlates well with the linguistic proximities.
• Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
  8 Jul 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In this work, we propose a modular inference framework that bridges classical statistics and modern machine learning to provide (i) a practical approach for constructing confidence sets with near finite-sample validity…
• In-distribution adversarial attacks on object recognition models using gradient-free search
  30 Jun 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Past works attribute these errors to dataset bias, claiming that models fail on these perturbed samples as they do not belong to the training data distribution.

Syntology lines on 19 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.