In a new paper CAX: Cellular Automata Accelerated in JAX, a research team introduces Cellular Automata Accelerated in JAX, a powerful open-source library designed to enhance CA research, which enables rapid CA simulations through extensive parallelization on various hardware accelerators, including […]

In a new paper Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs, a Meta research team proposes a novel chain-of-thought strategy to efficiently generate code transformations using LLMs. Their approach enables LLMs to derive transformations based on a small […]

A Google DeepMind research team proposes a biologically-inspired dual-system framework for intelligent agents. This "Talker-Reasoner" architecture aligns with Kahneman's concept, where System 1 is fast and intuitive, while System 2 is slower and deliberative. The post Thinking Fast and Slow: Google […]

In a new paper Upcycling Large Language Models into Mixture of Experts, an NVIDIA research team introduces a new "virtual group" initialization technique to facilitate the transition of dense models into fine-grained MoE structures. The post From Dense to Dynamic: NVIDIA’s Innovations in […]

A research team presents a novel language-conditioned robot manipulation framework called Gen2Act, which achieves generalization to unseen tasks using publicly available web data, eliminating the need to collect specific robot data for every task. The post Web Data to Real-World Action: Enabling […]

In a new paper The Perfect Blend: Redefining RLHF with Mixture of Judges, a research team from Meta GenAI and FAIR developed Constrained Generative Policy Optimization (CGPO), which offers a more structured approach to RLHF, advancing the performance of general-purpose LLMs. The post Scaling […]

Apple introduces Depth Pro, a state-of-the-art foundation model designed for zero-shot metric monocular depth estimation. This model can generate high-resolution depth maps with exceptional clarity and fine detail, producing a 2.25-megapixel depth map in just 0.3 seconds on a standard GPU. The post […]

A joint research team from Meta and the University of Illinois Urbana-Champaign introduces CrossEval, a benchmark designed to assess both individual and cross capabilities. Their findings demonstrate that LLMs often adhere to the “Law of the Weakest Link”—where performance on complex tasks is […]

In a new paper Zero-shot Cross-lingual Voice Transfer for TTS, a Google research team presents a new VT module that seamlessly integrates into a multilingual TTS system, enabling voice transfer across languages. The post Google’s Zero-Shot Cross-Lingual Voice Transfer for Dysarthric Speakers […]

In a new paper FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression, a research team from UC Berkeley and NYU introduces FineZip, a novel LLM-based compression system designed to significantly reduce compression time. The post Practical Lossless Text […]