Trending Research
Nexus-Gen: A Unified Model for Image Understanding, Generation, and Editing
To bridge this gap, we present Nexus-Gen, a unified model that synergizes the language reasoning capabilities of LLMs with the image synthesis power of diffusion models.
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
Eliminating non-stationarity is essential for avoiding spurious regressions and capturing local dependencies in short-term modeling, while preserving it is crucial for revealing long-term cointegration across variates.
INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning
PrimeIntellect-ai/prime-rl
•
•
We introduce INTELLECT-2, the first globally distributed reinforcement learning (RL) training run of a 32 billion parameter language model.
FG-CLIP: Fine-Grained Visual and Textual Alignment
Contrastive Language-Image Pre-training (CLIP) excels in multimodal tasks such as image-text retrieval and zero-shot classification but struggles with fine-grained understanding due to its focus on coarse-grained short captions.
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
microsoft/bitnet
•
•
The advent of 1-bit large language models (LLMs), led by BitNet b1. 58, has spurred interest in ternary LLMs.
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
We present FlashInfer: a customizable and efficient attention engine for LLM serving.
IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Recently, large language model (LLM) based text-to-speech (TTS) systems have gradually become the mainstream in the industry due to their high naturalness and powerful zero-shot voice cloning capabilities. Here, we introduce the IndexTTS system, which is mainly based on the XTTS and Tortoise model.
InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework
Third, to effectively train the framework, we construct a large-scale character dataset containing 10-million-level samples.
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
The era of intelligent agents is upon us, driven by revolutionary advancements in large language models.
3D Scene Generation: A Survey
Recent advances in deep generative models (e. g., GANs, diffusion models) and 3D representations (e. g., NeRF, 3D Gaussians) have enabled the learning of real-world scene distributions, improving fidelity, diversity, and view consistency.
