Papers Large Language Model
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GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models
Text-to-image (T2I) models such as Stable Diffusion have advanced rapidly and are now widely used in content creation. However, these models can be misused to generate harmful content, including nudity or violence, posin…
Large Language ModelRed TeamingDisclosure Audits for LLM Agents
Large Language Model agents have begun to appear as personal assistants, customer service bots, and clinical aides. While these applications deliver substantial operational benefits, they also require continuous access t…
DiagnosticLanguage ModelingLanguage ModellingLarge Language ModelPrompt-Guided Latent Diffusion with Predictive Class Conditioning for 3D Prostate MRI Generation
Latent diffusion models (LDM) could alleviate data scarcity challenges affecting machine learning development for medical imaging. However, medical LDM training typically relies on performance- or scientific accessibilit…
Image GenerationLanguage ModelingLanguage ModellingLarge Language ModelSuperstudent intelligence in thermodynamics
In this short note, we report and analyze a striking event: OpenAI's large language model o3 has outwitted all students in a university exam on thermodynamics. The thermodynamics exam is a difficult hurdle for most stude…
Large Language ModelV-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
A major challenge for modern AI is to learn to understand the world and learn to act largely by observation. This paper explores a self-supervised approach that combines internet-scale video data with a small amount of i…
Action AnticipationLarge Language ModelQuestion AnsweringSelf-Supervised Learning+1DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision
While text-to-3D generation has attracted growing interest, existing methods often struggle to produce 3D assets that align well with human preferences. Current preference alignment techniques for 3D content typically re…
3D GenerationLarge Language ModelText to 3DTowards Multi-modal Graph Large Language Model
Multi-modal graphs, which integrate diverse multi-modal features and relations, are ubiquitous in real-world applications. However, existing multi-modal graph learning methods are typically trained from scratch for speci…
Graph LearningIn-Context LearningLanguage ModelingLanguage Modelling+2ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator
Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. Early and precise diagnosis of AD is crucial for timely intervention and treatment planning to alleviate the progressive neurodegenera…
AI AgentLarge Language ModelPrognosisAlzheimer's Dementia Detection Using Perplexity from Paired Large Language Models
Alzheimer's dementia (AD) is a neurodegenerative disorder with cognitive decline that commonly impacts language ability. This work extends the paired perplexity approach to detecting AD by using a recent large language m…
Data AugmentationDecision MakingInstruction FollowingLanguage Modeling+2LeanTutor: A Formally-Verified AI Tutor for Mathematical Proofs
We present LeanTutor, a Large Language Model (LLM)-based tutoring system for math proofs. LeanTutor interacts with the student in natural language, formally verifies student-written math proofs in Lean, generates correct…
Large Language ModelMathMathematical ProofsSafe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness
The rapid growth of the low-altitude economy has driven the widespread adoption of unmanned aerial vehicles (UAVs). This growing deployment presents new challenges for UAV trajectory planning in complex urban environment…
Collision AvoidanceDeep Reinforcement LearningLanguage ModelingLanguage Modelling+2Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
Recent advances of Reinforcement Learning (RL) have highlighted its potential in complex reasoning tasks, yet effective training often relies on external supervision, which limits the broader applicability. In this work,…
Large Language Modelreinforcement-learningReinforcement LearningReinforcement Learning (RL)Your Agent Can Defend Itself against Backdoor Attacks
Despite their growing adoption across domains, large language model (LLM)-powered agents face significant security risks from backdoor attacks during training and fine-tuning. These compromised agents can subsequently be…
Large Language ModelSPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models
Deep speech classification tasks, including keyword spotting and speaker verification, are vital in speech-based human-computer interaction. Recently, the security of these technologies has been revealed to be susceptibl…
Backdoor AttackKeyword SpottingLanguage ModelingLanguage Modelling+2MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
Large Language Model (LLM)-driven Multi-agent systems (Mas) have recently emerged as a powerful paradigm for tackling complex real-world tasks. However, existing Mas construction methods typically rely on manually crafte…
Allgraph constructionLarge Language ModelReinforcement Learning (RL)MLVTG: Mamba-Based Feature Alignment and LLM-Driven Purification for Multi-Modal Video Temporal Grounding
Video Temporal Grounding (VTG), which aims to localize video clips corresponding to natural language queries, is a fundamental yet challenging task in video understanding. Existing Transformer-based methods often suffer …
Language ModelingLanguage ModellingLarge Language ModelMamba+2WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
This research-to-practice work-in-progress (WIP) paper presents an AI-enabled smart tutor designed to provide homework assessment and feedback for students in an undergraduate circuit analysis course. We detail the tutor…
Language ModelingLanguage ModellingLarge Language ModelOpen-Ended Question Answering+2CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models
Large language model (LLM) have become mainstream methods in the field of sarcasm detection. However, existing LLM methods face challenges in irony detection, including: 1. single-perspective limitations, 2. insufficient…
Language ModelingLanguage ModellingLarge Language ModelSarcasm DetectionTowards Secure and Private Language Models for Nuclear Power Plants
This paper introduces a domain-specific Large Language Model for nuclear applications, built from the publicly accessible Essential CANDU textbook. Drawing on a compact Transformer-based architecture, the model is traine…
GPULanguage ModelingLanguage ModellingLarge Language Model+1Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data
The nuclear industry possesses a wealth of valuable information locked away in unstructured text data. This data, however, is not readily usable for advanced Large Language Model (LLM) applications that require clean, st…
Decision MakingInformation RetrievalLanguage ModelingLanguage Modelling+2