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LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
Vision Language Models (VLMs) offer the exciting possibility of processing text as rendered images, bypassing the need for tokenizing the text into long token sequences.…
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Weblica: Scalable and Reproducible Training Environments for Visual Web Agents
The web is complex, open-ended, and constantly changing, making it challenging to…
A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers
III of Enterprise Document Intelligence, a series that builds an enterprise RAG…
A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models
Safety alignment in language models operates through two mechanistically distinct systems: refusal…
Liquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models
Liquid AI has released Antidoom, an open-source method that targets a common…
Proxy-Pointer RAG: Temporal Reasoning Without Semantic Precompilation
Retrieval-Augmented Generation (RAG) has evolved rapidly in recent times. The original RAG…
FlowEval: Reference-Based Evaluation of Generated User Interfaces
While large language models (LLMs) and coding agents are often applied to…
Identifying Microbes in Space | Towards Data Science
living in the International Space Station for over a quarter of a…
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