Text Compression

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

18 shown of 18 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.

• Neural Retrievers are Biased Towards LLM-Generated Content
  31 Oct 2023 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Surprisingly, our findings indicate that neural retrieval models tend to rank LLM-generated documents higher.
• LLMZip: Lossless Text Compression using Large Language Models
  6 Jun 2023 2 repositories listed
  We provide new estimates of an asymptotic upper bound on the entropy of English using the large language model LLaMA-7B as a predictor for the next token given a window of past tokens.
• TokAlign: Efficient Vocabulary Adaptation via Token Alignment
  4 Jun 2025 1 repository listed
  The mismatch in vocabulary also hinders deep knowledge transfer between LLMs like token-level distillation.
• Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches
  10 Feb 2025 1 repository listed
  Automatically summarizing large text collections is a valuable tool for document research, with applications in journalism, academic research, legal work, and many other fields.
• L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
  21 Dec 2024 1 repository listed
  Learning-based probabilistic models can be combined with an entropy coder for data compression.
• IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model
  10 Dec 2024 1 repository listed
  We introduce IntellectSeeker, an innovative and personalized intelligent academic literature management platform to address these challenges.
• FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
  25 Sep 2024 1 repository listed
  We compare traditional text compression systems with neural network and LLM-based text compression methods.
• AlphaZip: Neural Network-Enhanced Lossless Text Compression
  23 Sep 2024 1 repository listed
  Data compression continues to evolve, with traditional information theory methods being widely used for compressing text, images, and videos.
• BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training
  6 Sep 2024 1 repository listed
  Language models can largely benefit from efficient tokenization.
• XCompress: LLM assisted Python-based text compression toolkit
  12 Aug 2024 1 repository listed
  XCompress offers manual, brute force, and Large Language Model (LLM) methods to determine the most suitable algorithm based on the type of text data.
• Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
  10 Jun 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  To extend the context length of Transformer-based large language models (LLMs) and improve comprehension capabilities, we often face limitations due to computational resources and bounded memory storage capacity.
• LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  19 Mar 2024 1 repository listed
  Additionally, our model is 3x-6x faster than existing prompt compression methods, while accelerating the end-to-end latency by 1.
• Gzip versus bag-of-words for text classification
  27 Jul 2023 1 repository listed
  The effectiveness of compression in text classification ('gzip') has recently garnered lots of attention.
• Contextualized Semantic Distance between Highly Overlapped Texts
  4 Oct 2021 1 repository listed
  Overlapping frequently occurs in paired texts in natural language processing tasks like text editing and semantic similarity evaluation.
• Data-efficient Neural Text Compression with Interactive Learning
  1 Jun 2019 1 repository listed
  Neural sequence-to-sequence models have been successfully applied to text compression.
• A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models
  20 Aug 2017 1 repository listed
  Training large vocabulary Neural Network Language Models (NNLMs) is a difficult task due to the explicit requirement of the output layer normalization, which typically involves the evaluation of the full softmax…
• Authorship Verification based on Compression-Models
  1 Jun 2017 1 repository listed
  Instead, the only three key components of our method are a compressing algorithm, a dissimilarity measure and a threshold, needed to accept or reject the authorship of the questioned document.
• Syntactically Informed Text Compression with Recurrent Neural Networks
  8 Aug 2016 1 repository listed
  We present a self-contained system for constructing natural language models for use in text compression.

Syntology lines on 2 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.