Trending Research
MinerU: An Open-Source Solution for Precise Document Content Extraction
Document content analysis has been a crucial research area in computer vision.
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
We introduce a new model - Segment any Text (SaT) - to solve this problem.
Video-R1: Reinforcing Video Reasoning in MLLMs
However, directly applying RL training with the GRPO algorithm to video reasoning presents two primary challenges: (i) a lack of temporal modeling for video reasoning, and (ii) the scarcity of high-quality video-reasoning data.
TextArena
TextArena is an open-source collection of competitive text-based games for training and evaluation of agentic behavior in Large Language Models (LLMs).
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
In this paper, we introduce DeepResearcher, the first comprehensive framework for end-to-end training of LLM-based deep research agents through scaling reinforcement learning (RL) in real-world environments with authentic web search interactions.
DDT: Decoupled Diffusion Transformer
MCG-NJU/DDT
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For ImageNet $256\times256$, Our DDT-XL/2 achieves a new state-of-the-art performance of {1. 31 FID}~(nearly $4\times$ faster training convergence compared to previous diffusion transformers).
Ranked #2 on
Image Generation
on ImageNet 256x256
MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data
PaulBorneP/MESA
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Terrain modeling has traditionally relied on procedural techniques, which often require extensive domain expertise and handcrafted rules.
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Recent advancements in large language models (LLMs) have driven significant progress in zero-shot text-to-speech (TTS) synthesis.
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
Overall, our findings present DC as a promising approach for augmenting LMs with persistent memory, bridging the divide between isolated inference events and the cumulative, experience-driven learning characteristic of human cognition.
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
Meanwhile, large amounts of unaligned graphics programs and captioned raster images are more readily available.
