RTE

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.

Most implemented papers archive 2025-07-28

30 shown of 37 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.

• New Datasets for Automatic Detection of Textual Entailment and of Contradictions between Sentences in French
  23 May 2024 10 repositories listed
  DACCORD consists of 1034 pairs of sentences and is the first dataset exclusively dedicated to this task and covering among others the topic of the Russian invasion in Ukraine.
• Finetuned Language Models Are Zero-Shot Learners
  3 Sep 2021 8 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We show that instruction tuning -- finetuning language models on a collection of tasks described via instructions -- substantially improves zero-shot performance on unseen tasks.
• Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets
  28 Jan 2023 2 repositories listed
  Hence, we also contribute a new, large Swedish bias-labelled dataset (of 2 million samples), translated from the English version and train the SotA mT5 model on it.
• DeepRTE: Pre-trained Attention-based Neural Network for Radiative Tranfer
  29 May 2025 1 repository listed
  In this study, we propose a novel neural network approach, termed DeepRTE, to address the steady-state Radiative Transfer Equation (RTE).
• SMARTe: Slot-based Method for Accountable Relational Triple extraction
  17 Apr 2025 1 repository listed
  To address these limitations, we propose SMARTe: a Slot-based Method for Accountable Relational Triple extraction.
• Physics-informed neural networks for modeling atmospheric radiative transfer
  1 Jan 2025 1 repository listed
  Understanding the radiative transfer processes in the Earth’s atmosphere is crucial for accurate climate modeling and climate change predictions.
• Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry
  30 Dec 2024 1 repository listed
  Deep learning's preponderance across scientific domains has reshaped high-stakes decision-making, making it essential to follow rigorous operational frameworks that include both Right-to-Privacy (RTP) and…
• LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
  19 Sep 2024 1 repository listed
  In this paper, we present a novel approach, called LogicPro, to enhance Large Language Models (LLMs) complex Logical reasoning through Program Examples.
• DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation
  1 Sep 2024 1 repository listed
  It consists of a pyramid structure with a spatial information reuse strategy, a sequential pose initialization module, a gated hierarchical pose refinement module, and a temporal feature propagation module.
• When does word order matter and when doesn't it?
  29 Feb 2024 1 repository listed
  Our results show the effect that the less informative word order is, the more consistent the model's predictions are between unscrambled and scrambled sentences.
• TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
  9 Jan 2024 1 repository listed
  Large language models have exhibited robust performance across diverse natural language processing tasks.
• BatchPrompt: Accomplish more with less
  1 Sep 2023 1 repository listed
  We have two initial observations for prompting with batched data.
• DReg-NeRF: Deep Registration for Neural Radiance Fields
  18 Aug 2023 1 repository listed Syntology ran 6 of 10 samples · 4 unverified · 10 pointer-only (licence)
  Although Neural Radiance Fields (NeRF) is popular in the computer vision community recently, registering multiple NeRFs has yet to gain much attention.
• Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
  21 May 2023 1 repository listed
  Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner.
• MEAL: Stable and Active Learning for Few-Shot Prompting
  15 Nov 2022 1 repository listed
  Few-shot classification has made great strides due to foundation models that, through priming and prompting, are highly effective few-shot learners.
• Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
  5 Nov 2022 1 repository listed
  However, despite its substantial success on single sentence classification tasks where the challenge in making use of unlabeled data is to assign "good enough" pseudo-labels, for NLI tasks, the nature of unlabeled data…
• Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design
  21 Jul 2022 1 repository listed
  Current rapid changes in climate increase the urgency to change energy production and consumption management, to reduce carbon and other green-house gas production.
• Content-aware Scalable Deep Compressed Sensing
  19 Jul 2022 1 repository listed
  To more efficiently address image compressed sensing (CS) problems, we present a novel content-aware scalable network dubbed CASNet which collectively achieves adaptive sampling rate allocation, fine granular…
• Relation-Guided Few-Shot Relational Triple Extraction
  7 Jul 2022 1 repository listed
  To instantiate this strategy, we further propose a model, RelATE, which builds a dual-level attention to aggregate relationrelevant information to detect the relation occurrence and utilizes the annotated samples of the…
• Fine-grained Entailment: Resources for Greek NLI and Precise Entailment
  1 Jun 2022 1 repository listed
  First, we extend the Greek version of the FraCaS test suite to include examples where the inference is directly linked to the syntactic/morphological properties of Greek.
• FLUTE: Figurative Language Understanding through Textual Explanations
  24 May 2022 1 repository listed
  Figurative language understanding has been recently framed as a recognizing textual entailment (RTE) task (a.
• Learning Rate Curriculum
  18 May 2022 1 repository listed
  In this work, we propose a novel curriculum learning approach termed Learning Rate Curriculum (LeRaC), which leverages the use of a different learning rate for each layer of a neural network to create a data-agnostic…
• Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
  8 Dec 2021 1 repository listed
  We learn the representations of both seen and unseen relations with augmented instances and prompts.
• Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity
  1 Nov 2021 1 repository listed
  Multi-task auxiliary learning utilizes a set of relevant auxiliary tasks to improve the performance of a primary task.
• CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure
  27 Sep 2021 1 repository listed
  Multi-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous cars for localization and perception tasks, both relying on the ability to build a precise map of the environment.
• SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations
  15 Sep 2021 1 repository listed
  This paper introduces SupCL-Seq, which extends the supervised contrastive learning from computer vision to the optimization of sequence representations in NLP.
• Figurative Language in Recognizing Textual Entailment
  2 Jun 2021 1 repository listed
  We introduce a collection of recognizing textual entailment (RTE) datasets focused on figurative language.
• Design and implementation of an environment for Learning to Run a Power Network (L2RPN)
  6 Apr 2021 1 repository listed
  This report summarizes work performed as part of an internship at INRIA, in partial requirement for the completion of a master degree in math and informatics.
• Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
  20 May 2020 1 repository listed
  Recent models for unsupervised representation learning of text have employed a number of techniques to improve contextual word representations but have put little focus on discourse-level representations.
• Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking
  11 Mar 2020 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  We show on an entity linking benchmark that (i) this model improves the entity representations over plain BERT, (ii) that it outperforms entity linking architectures that optimize the tasks separately and (iii) that it…

Syntology lines on 3 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.