Trending Research
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
aidc-ai/awesome-unified-multimodal-models
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Despite their respective successes, these two domains have evolved independently, leading to distinct architectural paradigms: While autoregressive-based architectures have dominated multimodal understanding, diffusion-based models have become the cornerstone of image generation.
Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models
We present Attentive Reasoning Queries (ARQs), a novel structured reasoning approach that significantly improves instruction-following in Large Language Models through domain-specialized reasoning blueprints.
INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning
We introduce INTELLECT-2, the first globally distributed reinforcement learning (RL) training run of a 32 billion parameter language model.
Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
A voice AI agent that blends seamlessly into daily life would interact with humans in an autonomous, real-time, and emotionally expressive manner.
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
microsoft/bitnet
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The advent of 1-bit large language models (LLMs), led by BitNet b1. 58, has spurred interest in ternary LLMs.
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for maintaining consistency over prolonged multi-session dialogues.
Deformable Beta Splatting
RongLiu-Leo/beta-splatting
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Experimental results demonstrate that DBS achieves state-of-the-art visual quality while utilizing only 45% of the parameters and rendering 1. 5x faster than 3DGS-MCMC, highlighting the superior performance of DBS for real-time radiance field rendering.
Ranked #1 on
Novel View Synthesis
on NeRF
LBM: Latent Bridge Matching for Fast Image-to-Image Translation
gojasper/lbm
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In this paper, we introduce Latent Bridge Matching (LBM), a new, versatile and scalable method that relies on Bridge Matching in a latent space to achieve fast image-to-image translation.
Zep: A Temporal Knowledge Graph Architecture for Agent Memory
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark.
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
caraj7/t2i-r1
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By applying our reasoning strategies to the baseline model, Janus-Pro, we achieve superior performance with 13% improvement on T2I-CompBench and 19% improvement on the WISE benchmark, even surpassing the state-of-the-art model FLUX. 1.
