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Papers Read on AI

Keeping you up to date with the latest trends and best performing architectures in this fast evolvin

Episodes

Total: 205

Recent advances in language models have achieved significant progress. GPT-4o, as a new milestone, h

Models like GPT-4o enable real-time interaction with large language models (LLMs) through speech, si

From a single image, visual cues can help deduce intrinsic and extrinsic camera parameters like the

Insect production for food and feed presents a promising supplement to ensure food safety and addres

Recent advancements in audio generation have been significantly propelled by the capabilities of Lar

This paper presents rerankers, a Python library which provides an easy-to-use interface to the most

Researchers are investing substantial effort in developing powerful general-purpose agents, wherein

AI systems that serve natural language questions over databases promise to unlock tremendous value.

The ability to accurately interpret complex visual information is a crucial topic of multimodal larg

We present Sapiens, a family of models for four fundamental human-centric vision tasks -- 2D pose es

Diffusion models have emerged as a popular method for 3D generation. However, it is still challengin

In this paper, we introduce Writing in the Margins (WiM), a new inference pattern for Large Language

Recent advancements in Large Language Models (LLMs) have showcased their proficiency in answering na

Large Language Models (LLMs) demonstrate human-level capabilities in dialogue, reasoning, and knowle

Despite Retrieval-Augmented Generation (RAG) showing promising capability in leveraging external kno

We introduce DeepSeek-Prover-V1.5, an open-source language model designed for theorem proving in Lea

Current long context large language models (LLMs) can process inputs up to 100,000 tokens, yet strug

Diffusion models have demonstrated remarkable and robust abilities in both image and video generatio

The rapid growth of scientific literature imposes significant challenges for researchers endeavoring

While Large Language Models (LLMs) are the dominant models for generative tasks in language, they do