Papers Large Language Model
“Large Language Model” 태그가 달린 논문 6,097편 · 필터 해제
AgenticControl: An Automated Control Design Framework Using Large Language Models
Traditional control system design, reliant on expert knowledge and precise models, struggles with complex, nonlinear, or uncertain dynamics. This paper introduces AgenticControl, a novel multi-agent framework that automa…
In-Context LearningLarge Language ModelModel Predictive ControlMedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
Accurate and interpretable multi-disease diagnosis remains a critical challenge in medical research, particularly when leveraging heterogeneous multimodal medical data. Current approaches often rely on single-modal data,…
DiagnosticLarge Language ModelMultimodal Large Language ModelPARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
LLM serving systems typically treat user prompts as monolithic inputs, optimizing inference through decoding tricks or inter-query batching. However, many real-world prompts contain latent semantic parallelism--decomposa…
Language ModelingLanguage ModellingLarge Language ModelMechanistic Interpretability in the Presence of Architectural Obfuscation
Architectural obfuscation - e.g., permuting hidden-state tensors, linearly transforming embedding tables, or remapping tokens - has recently gained traction as a lightweight substitute for heavyweight cryptography in pri…
Large Language ModelPrivacy PreservingLeveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms
With the increasing complexity and rapid expansion of the scale of AI systems in cloud platforms, the log data generated during system operation is massive, unstructured, and semantically ambiguous, which brings great ch…
Language ModelingLanguage ModellingLarge Language ModelPre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
With the advancement of Large Language Model (LLM) for natural language processing, this paper presents an intriguing finding: a frozen pre-trained LLM layer can process visual tokens for medical image segmentation tasks…
DecoderImage SegmentationLanguage ModelingLanguage Modelling+4Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
We propose a novel prompt design paradigm that challenges conventional wisdom in large language model (LLM) prompting. While conventional wisdom prioritizes well-crafted instructions and demonstrations for in-context lea…
In-Context LearningLarge Language ModelMathQuestion AnsweringShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Recent advances in multimodal generative models have unlocked photorealistic, instruction-aligned image generation, yet leading systems like GPT-4o-Image remain proprietary and inaccessible. To democratize these capabili…
GPUImage GenerationLanguage ModelingLanguage Modelling+4Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
With the rapid adoption of large language models (LLMs) in recommendation systems, the computational and communication bottlenecks caused by their massive parameter sizes and large data volumes have become increasingly p…
Language ModelingLanguage ModellingLarge Language Modelmodel+2Programmable-Room: Interactive Textured 3D Room Meshes Generation Empowered by Large Language Models
We present Programmable-Room, a framework which interactively generates and edits a 3D room mesh, given natural language instructions. For precise control of a room's each attribute, we decompose the challenging task int…
AttributeImage GenerationLarge Language ModelCan Generated Images Serve as a Viable Modality for Text-Centric Multimodal Learning?
A significant ``modality gap" exists between the abundance of text-only data and the increasing power of multimodal models. This work systematically investigates whether images generated on-the-fly by Text-to-Image (T2I)…
Language ModelingLanguage ModellingLarge Language ModelPrompt Engineering+2DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving
Understanding the short-term motion of vulnerable road users (VRUs) like pedestrians and cyclists is critical for safe autonomous driving, especially in urban scenarios with ambiguous or high-risk behaviors. While vision…
Autonomous DrivingDescriptiveLarge Language ModelDreamJourney: Perpetual View Generation with Video Diffusion Models
Perpetual view generation aims to synthesize a long-term video corresponding to an arbitrary camera trajectory solely from a single input image. Recent methods commonly utilize a pre-trained text-to-image diffusion model…
Image to 3DLarge Language ModelMultimodal Large Language ModelPerpetual View GenerationJarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
Photo retouching has become integral to contemporary visual storytelling, enabling users to capture aesthetics and express creativity. While professional tools such as Adobe Lightroom offer powerful capabilities, they de…
Instruction FollowingLarge Language ModelPhoto RetouchingVisual StorytellingComputational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are ada…
Language ModelingLanguage ModellingLarge Language ModelChallenges in Grounding Language in the Real World
A long-term goal of Artificial Intelligence is to build a language understanding system that allows a human to collaborate with a physical robot using language that is natural to the human. In this paper we highlight som…
Language ModelingLanguage ModellingLarge Language ModelOmniReflect: Discovering Transferable Constitutions for LLM agents via Neuro-Symbolic Reflections
Efforts to improve Large Language Model (LLM) agent performance on complex tasks have largely focused on fine-tuning and iterative self-correction. However, these approaches often lack generalizable mechanisms for longte…
Computational EfficiencyLarge Language ModelProbe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
Backdoor unalignment attacks against Large Language Models (LLMs) enable the stealthy compromise of safety alignment using a hidden trigger while evading normal safety auditing. These attacks pose significant threats to …
Large Language ModelSafety AlignmentDo We Talk to Robots Like Therapists, and Do They Respond Accordingly? Language Alignment in AI Emotional Support
As conversational agents increasingly engage in emotionally supportive dialogue, it is important to understand how closely their interactions resemble those in traditional therapy settings. This study investigates whethe…
Large Language ModelSentence EmbeddingsLLMs in Coding and their Impact on the Commercial Software Engineering Landscape
Large-language-model coding tools are now mainstream in software engineering. But as these same tools move human effort up the development stack, they present fresh dangers: 10% of real prompts leak private data, 42% of …
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