Trending Research
TradingAgents: Multi-Agents LLM Financial Trading Framework
Significant progress has been made in automated problem-solving using societies of agents powered by large language models (LLMs).
self-prompting analogical reasoning for uav object detection
lnxwow/Analogical-Reasoning
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Proceedings of the AAAI Conference on Artificial Intelligence 2025
While for analogical reasoningmodule, graph nodes consist of category-level prompt nodes and pixel-level image feature nodes. Analogical inference is based on graph convolution.
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
Audio-driven human animation methods, such as talking head and talking body generation, have made remarkable progress in generating synchronized facial movements and appealing visual quality videos.
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Generating high-resolution 3D shapes using volumetric representations such as Signed Distance Functions (SDFs) presents substantial computational and memory challenges.
SkyReels-V2: Infinite-length Film Generative Model
Recent advances in video generation have been driven by diffusion models and autoregressive frameworks, yet critical challenges persist in harmonizing prompt adherence, visual quality, motion dynamics, and duration: compromises in motion dynamics to enhance temporal visual quality, constrained video duration (5-10 seconds) to prioritize resolution, and inadequate shot-aware generation stemming from general-purpose MLLMs' inability to interpret cinematic grammar, such as shot composition, actor expressions, and camera motions.
R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration
To address this, we propose Redundancy-aware KV Cache Compression for Reasoning models (R-KV), a novel method specifically targeting redundant tokens in reasoning models.
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
snu-mllab/kvzip
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Transformer-based large language models (LLMs) cache context as key-value (KV) pairs during inference.
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
The G\"odel machine proposed a theoretical alternative: a self-improving AI that repeatedly modifies itself in a provably beneficial manner.
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Most existing large-scale RL systems for LLMs are synchronous, alternating generation and training in a batch setting where rollouts in each training batch are generated by the same model.
Wings: Learning Multimodal LLMs without Text-only Forgetting
aidc-ai/parrot
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Initially, image and text inputs are aligned with visual learners operating alongside the main attention, balancing focus on visual elements.
