Text Infilling

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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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

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

25 shown of 25 papers with code (43 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.

• Enabling Language Models to Fill in the Blanks
  11 May 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We show that this approach, which we call infilling by language modeling, can enable LMs to infill entire sentences effectively on three different domains: short stories, scientific abstracts, and lyrics.
• LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation
  30 Aug 2021 2 repositories listed
  Therefore, we propose a story-centric benchmark named LOT for evaluating Chinese long text modeling, which aggregates two understanding tasks and two generation tasks.
• Nutribullets Hybrid: Multi-document Health Summarization
  8 Apr 2021 2 repositories listed
  We present a method for generating comparative summaries that highlights similarities and contradictions in input documents.
• The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs
  15 Jul 2025 1 repository listed Syntology ran 11 of 17 samples · 6 unverified
  Diffusion-based large language models (dLLMs) have recently emerged as a powerful alternative to autoregressive LLMs, offering faster inference and greater interactivity via parallel decoding and bidirectional modeling.
• LaViDa: A Large Diffusion Language Model for Multimodal Understanding
  22 May 2025 1 repository listed Syntology ran 3 of 9 samples · 6 unverified
  We build LaViDa by equipping DMs with a vision encoder and jointly fine-tune the combined parts for multimodal instruction following.
• TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
  7 Nov 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  TrajGPT integrates the spatial and temporal models in a transformer architecture through a Bayesian probability model that ensures that the gaps in a visit sequence are filled in a spatiotemporally consistent manner.
• Empowering Character-level Text Infilling by Eliminating Sub-Tokens
  27 May 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Alternately, some approaches considered character-level infilling, but they relied on predicting sub-tokens in inference, yet this strategy diminished ability in character-level infilling tasks due to the large…
• Towards Probabilistically-Sound Beam Search with Masked Language Models
  22 Feb 2024 1 repository listed
  Beam search with masked language models (MLMs) is challenging in part because joint probability distributions over sequences are not readily available, unlike for autoregressive models.
• A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis
  18 Jul 2023 1 repository listed
  In this work, we argue that two kinds of gaps, i.
• Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
  23 May 2023 1 repository listed
  In this paper, we show that multilingual and Arabic monolingual LMs exhibit bias towards entities associated with Western culture.
• MAGVLT: Masked Generative Vision-and-Language Transformer
  21 Mar 2023 1 repository listed Syntology ran 7 of 10 samples · 3 unverified
  Particularly, MAGVLT achieves competitive results on both zero-shot image-to-text and text-to-image generation tasks from MS-COCO by one moderate-sized model (fewer than 500M parameters) even without the use of…
• Model-tuning Via Prompts Makes NLP Models Adversarially Robust
  13 Mar 2023 1 repository listed
  Across 5 NLP datasets, 4 adversarial attacks, and 3 different models, MVP improves performance against adversarial substitutions by an average of 8% over standard methods and even outperforms adversarial training-based…
• Generative Prompt Tuning for Relation Classification
  22 Oct 2022 1 repository listed
  Current prompt tuning methods mostly convert the downstream tasks to masked language modeling problems by adding cloze-style phrases and mapping all labels to verbalizations with fixed length, which has proven effective…
• MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
  14 Oct 2022 1 repository listed
  Meta-path, a sequence of node types and edge types, is the core technique to embed HINs.
• Reprogramming Pretrained Language Models for Antibody Sequence Infilling
  5 Oct 2022 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  Results on antibody design benchmarks show that our model on low-resourced antibody sequence dataset provides highly diverse CDR sequences, up to more than a two-fold increase of diversity over the baselines, without…
• Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
  30 May 2022 1 repository listed
  In this work, we adapt prompt-based few-shot learning to ELECTRA and show that it outperforms masked language models in a wide range of tasks.
• CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
  2 Apr 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Existing reference-free metrics have obvious limitations for evaluating controlled text generation models.
• Language modeling via stochastic processes
  21 Mar 2022 1 repository listed
  Recent work in self-supervised learning suggests that models can learn good latent representations via contrastive learning, which can be effective for discriminative tasks.
• Conformal prediction for text infilling and part-of-speech prediction
  4 Nov 2021 1 repository listed
  In our paper, we propose inductive conformal prediction (ICP) algorithms for the tasks of text infilling and part-of-speech (POS) prediction for natural language data.
• Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
  13 Sep 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  To overcome this challenge, we used a classifier to instruct the MCMC-based models where and how to refine the candidate sentences.
• Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
  2 Jan 2021 1 repository listed
  In this paper, we generalize text infilling (e.
• Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
  12 Oct 2020 1 repository listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)
  Abductive and counterfactual reasoning, core abilities of everyday human cognition, require reasoning about what might have happened at time t, while conditioning on multiple contexts from the relative past and future.
• Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
  30 Aug 2019 1 repository listed
  In this paper, we present a novel method for measurably adjusting the semantics of text while preserving its sentiment and fluency, a task we call semantic text exchange.
• TIGS: An Inference Algorithm for Text Infilling with Gradient Search
  26 May 2019 1 repository listed
  Text infilling is defined as a task for filling in the missing part of a sentence or paragraph, which is suitable for many real-world natural language generation scenarios.
• Text Infilling
  1 Jan 2019 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  Recent years have seen remarkable progress of text generation in different contexts, such as the most common setting of generating text from scratch, and the emerging paradigm of retrieval-and-rewriting.

Syntology lines on 11 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.