Sentence-Pair 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

3 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

22 shown of 22 papers with code (38 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.
• Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
  22 Mar 2019 8 repositories listed Syntology ran 8 of 27 samples · 19 unverified · 4 pointer-only (licence)
  Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).
• CLUE: A Chinese Language Understanding Evaluation Benchmark
  13 Apr 2020 3 repositories listed
  The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks.
• DACCORD : un jeu de données pour la Détection Automatique d'énonCés COntRaDictoires en français
  8 Jun 2023 2 repositories listed
  In this article, we present DACCORD, a new dataset dedicated to the task of automatically detecting contradictions between sentences in French.
• CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
  15 Jun 2021 2 repositories listed Syntology ran 4 of 16 samples · 12 unverified
  Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice.
• Glyce: Glyph-vectors for Chinese Character Representations
  29 Jan 2019 2 repositories listed Syntology ran 3 of 8 samples · 5 unverified
  However, due to the lack of rich pictographic evidence in glyphs and the weak generalization ability of standard computer vision models on character data, an effective way to utilize the glyph information remains to be…
• On the effectiveness of Large Language Models in the mechanical design domain
  2 May 2025 1 repository listed
  In this work, we seek to understand the performance of large language models in the mechanical engineering domain.
• Can linguists better understand DNA?
  10 Dec 2024 1 repository listed
  However, the existence of such capability transfer between natural language and gene sequences/languages remains under explored.
• Link Prediction for Wikipedia Articles as a Natural Language Inference Task
  31 Aug 2023 1 repository listed
  Drawing inspiration from recent advancements in natural language processing and understanding, we cast link prediction as an NLI task, wherein the presence of a link between two articles is treated as a premise, and the…
• mPMR: A Multilingual Pre-trained Machine Reader at Scale
  23 May 2023 1 repository listed
  mPMR aims to guide multilingual pre-trained language models (mPLMs) to perform natural language understanding (NLU) including both sequence classification and span extraction in multiple languages.
• Transfer learning for conflict and duplicate detection in software requirement pairs
  9 Jan 2023 1 repository listed
  We formulate the conflict and duplicate detection problem as a requirement pair classification task.
• Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
  18 Oct 2022 1 repository listed Syntology ran 0 of 19 samples · 19 unverified · 19 pointer-only (licence)
  In this work, we take the first step to exploit the pre-trained (unfine-tuned) weights to mitigate backdoors in fine-tuned language models.
• Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
  16 Oct 2021 1 repository listed
  Distilling state-of-the-art transformer models into lightweight student models is an effective way to reduce computation cost at inference time.
• Revisiting Self-Training for Few-Shot Learning of Language Model
  4 Oct 2021 1 repository listed Syntology ran 4 of 11 samples · 7 unverified
  In this work, we revisit the self-training technique for language model fine-tuning and present a state-of-the-art prompt-based few-shot learner, SFLM.
• Enhancing Biomedical Relation Extraction with Transformer Models using Shortest Dependency Path Features and Triplet Information
  1 Oct 2021 1 repository listed
  We propose utilizing the Shortest Dependency Path (SDP) features for constructing data samples by pruning out noisy information and selecting the most representative samples for model learning.
• Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
  9 Sep 2021 1 repository listed
  Recent prompt-based approaches allow pretrained language models to achieve strong performances on few-shot finetuning by reformulating downstream tasks as a language modeling problem.
• FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
  15 Jul 2021 1 repository listed
  While different learning schemes -- fine-tuning, zero-shot, and few-shot learning -- have been widely explored and compared for languages such as English, there is comparatively little work in Chinese to fairly and…
• Neural semi-Markov CRF for Monolingual Word Alignment
  4 Jun 2021 1 repository listed
  Monolingual word alignment is important for studying fine-grained editing operations (i.
• Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
  29 Mar 2021 1 repository listed
  However, in this paper, we find that it is possible to hack the model in a data-free way by modifying one single word embedding vector, with almost no accuracy sacrificed on clean samples.
• Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
  15 Oct 2020 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  To address this problem, we develop a contrastive self-training framework, COSINE, to enable fine-tuning LMs with weak supervision.
• Elastic weight consolidation for better bias inoculation
  29 Apr 2020 1 repository listed Syntology ran 2 of 4 samples · 2 unverified
  The biases present in training datasets have been shown to affect models for sentence pair classification tasks such as natural language inference (NLI) and fact verification.
• Continual and Multi-Task Architecture Search
  12 Jun 2019 1 repository listed Syntology ran 2 of 12 samples · 10 unverified
  Architecture search is the process of automatically learning the neural model or cell structure that best suits the given task.

Syntology lines on 8 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.