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πŸ“ƒ Manuscript Tokenization

Medieval Text Processing, Paleographic Parsing, Historical NLP, Character Segmentation

You’re loading fonts wrong (and it’s crippling your performance) - Jono Alderson
jonoalderson.comΒ·1d
πŸ”€Font Archaeology
[NodeBook] Inside the v8 Javascript Engine
thenodebook.comΒ·15hΒ·
Discuss: Hacker News, r/node, r/webdev
πŸ—οΈCompiler Archaeology
Show HN: Fine-tuned Llama 3.2 3B to match 70B models for local transcripts
bilawal.netΒ·2dΒ·
Discuss: Hacker News
πŸ’»Local LLMs
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
arxiv.orgΒ·2h
βš™οΈCompression Benchmarking
Continuous Saudi Sign Language Recognition: A Vision Transformer Approach
arxiv.orgΒ·2h
πŸ€–Advanced OCR
An experimental and computational study of an Estonian single-person word naming
arxiv.orgΒ·2h
πŸ”Information Retrieval
Domain Adaptation of LLMs for Process Data
arxiv.orgΒ·2h
🌊CBOR Streaming
Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations
arxiv.orgΒ·1d
πŸ›Digital humanities
Text Reinforcement for Multimodal Time Series Forecasting
arxiv.orgΒ·1d
πŸ“ˆTime Series
Exploring the Design Space of Fair Tree Learning Algorithms
arxiv.orgΒ·2h
🧠Learned Indexing
OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
arxiv.orgΒ·2h
πŸ‘€Search Personalization
A Unified Low-level Foundation Model for Enhancing Pathology Image Quality
arxiv.orgΒ·1d
πŸ“ΈPNG Optimization
Generative AI Prompting: An Introduction to Text-to-Text AI
dev.toΒ·3hΒ·
Discuss: DEV
πŸŽ™οΈWhisper
Language-Aware Information Maximization for Transductive Few-Shot CLIP
arxiv.orgΒ·1d
β§—Information Bottleneck
InstaDA: Augmenting Instance Segmentation Data with Dual-Agent System
arxiv.orgΒ·2h
πŸ“„Text Segmentation
LLMs and their Limited Theory of Mind: Evaluating Mental State Annotations in Situated Dialogue
arxiv.orgΒ·1d
πŸ”’Denotational Semantics
Visually Grounded Narratives: Reducing Cognitive Burden in Researcher-Participant Interaction
arxiv.orgΒ·1d
πŸ›Digital humanities
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents
arxiv.orgΒ·1d
πŸ”—Constraint Handling
Why Markdown Is the De Facto Standard for Prompt Engineering
dev.toΒ·1dΒ·
Discuss: DEV
🌳Incremental Parsing
Turning Your Documentation into Smart Responses
dev.toΒ·3dΒ·
Discuss: DEV
πŸ€–Archive Automation
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