Papers 4k
“4k” 태그가 달린 논문 367편 · 필터 해제
Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation
Recent research has focused on applying speech large language model (SLLM) to improve speech emotion recognition (SER). However, the inherently high frame rate in speech modality severely limits the signal processing and…
4kEmotion RecognitionEmotion Recognition in ConversationLarge Language Model+24KAgent: Agentic Any Image to 4K Super-Resolution
We present 4KAgent, a unified agentic super-resolution generalist system designed to universally upscale any image to 4K resolution (and even higher, if applied iteratively). Our system can transform images from extremel…
4kImage Quality AssessmentSuper-ResolutionAUTOMATIC ROOM LIGHT CONTROLLER MANAGEMENT SYSTEM.
The AT89S51 is a low-power, high- performance CMOS 8-bit microcontroller with 4K bytes of In-System Programmable Flash memory. The device is manufactured using Atmel’s high-density non-volatile memory technology and is c…
4kCPUManagementUltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions
The quality of the video dataset (image quality, resolution, and fine-grained caption) greatly influences the performance of the video generation model. The growing demand for video applications sets higher requirements …
4k8kVideo GenerationTransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding
Transformers exhibit proficiency in capturing long-range dependencies, whereas State Space Models (SSMs) facilitate linear-time sequence modeling. Notwithstanding their synergistic potential, the integration of these arc…
4kLanguage ModelingLanguage ModellingPosition+1ComfyUI-R1: Exploring Reasoning Models for Workflow Generation
AI-generated content has evolved from monolithic models to modular workflows, particularly on platforms like ComfyUI, enabling customization in creative pipelines. However, crafting effective workflows requires great exp…
4kSeerAttention-R: Sparse Attention Adaptation for Long Reasoning
We introduce SeerAttention-R, a sparse attention framework specifically tailored for the long decoding of reasoning models. Extended from SeerAttention, SeerAttention-R retains the design of learning attention sparsity t…
4kGPUUnfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations
Spatial cognition is essential for human intelligence, enabling problem-solving through visual simulations rather than solely relying on verbal reasoning. However, existing AI benchmarks primarily assess verbal reasoning…
4kSpatial ReasoningUltra-High-Resolution Image Synthesis: Data, Method and Evaluation
Ultra-high-resolution image synthesis holds significant potential, yet remains an underexplored challenge due to the absence of standardized benchmarks and computational constraints. In this paper, we establish Aesthetic…
4kDescriptiveImage GenerationGThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking
Despite notable advancements in multimodal reasoning, leading Multimodal Large Language Models (MLLMs) still underperform on vision-centric multimodal reasoning tasks in general scenarios. This shortfall stems from their…
4kMathMathematical ReasoningMultimodal ReasoningLatent Wavelet Diffusion: Enabling 4K Image Synthesis for Free
High-resolution image synthesis remains a core challenge in generative modeling, particularly in balancing computational efficiency with the preservation of fine-grained visual detail. We present Latent Wavelet Diffusion…
2k4kComputational EfficiencyDenoising+1Control-R: Towards controllable test-time scaling
This paper target in addressing the challenges of underthinking and overthinking in long chain-of-thought (CoT) reasoning for Large Reasoning Models (LRMs) by introducing Reasoning Control Fields (RCF)--a novel test-time…
4kSegment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
Enhancing the reasoning capabilities of large language models effectively using reinforcement learning (RL) remains a crucial challenge. Existing approaches primarily adopt two contrasting advantage estimation granularit…
2k4kGSM8KReinforcement Learning (RL)LoLA: Low-Rank Linear Attention With Sparse Caching
Transformer-based large language models suffer from quadratic complexity at inference on long sequences. Linear attention methods are efficient alternatives, however, they fail to provide an accurate approximation of sof…
4k8kGPUMonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention
Transformers have achieved state-of-the-art performance across various tasks, but suffer from a notable quadratic complexity in sequence length due to the attention mechanism. In this work, we propose MonarchAttention --…
16k4kQwenLong-CPRS: Towards $\infty$-LLMs with Dynamic Context Optimization
This technical report presents QwenLong-CPRS, a context compression framework designed for explicit long-context optimization, addressing prohibitive computation overhead during the prefill stage and the "lost in the mid…
4kLanguage ModelingLanguage ModellingRAGUNCLE: Uncertainty Expressions in Long-Form Generation
Large Language Models (LLMs) are prone to hallucination, particularly in long-form generations. A promising direction to mitigate hallucination is to teach LLMs to express uncertainty explicitly when they lack sufficient…
4kFormHallucinationQuestion AnsweringVeriFastScore: Speeding up long-form factuality evaluation
Metrics like FactScore and VeriScore that evaluate long-form factuality operate by decomposing an input response into atomic claims and then individually verifying each claim. While effective and interpretable, these met…
4kFormChain-of-Focus: Adaptive Visual Search and Zooming for Multimodal Reasoning via RL
Vision language models (VLMs) have achieved impressive performance across a variety of computer vision tasks. However, the multimodal reasoning capability has not been fully explored in existing models. In this paper, we…
4kMultimodal ReasoningReinforcement Learning (RL)Visual ReasoningUHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache
In this paper, we propose an efficient visual transformer framework for ultra-high-definition (UHD) image dehazing that addresses the key challenges of slow training speed and high memory consumption for existing methods…
4k8kComputational EfficiencyGPU+2