Paper List

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Summary of Human Multi-view Synthesis From a Single-view Model:transferred Body and Face Representations, by Yu Feng et al.
Summary of Chatts: Aligning Time Series with Llms Via Synthetic Data For Enhanced Understanding and Reasoning, by Zhe Xie et al.
Summary of Preference-based Opponent Shaping in Differentiable Games, by Xinyu Qiao et al.
Summary of Credid: Credible Multi-bit Watermark For Large Language Models Identification, by Haoyu Jiang et al.
Summary of Experience-driven Discovery Of Planning Strategies, by Ruiqi He et al.
Summary of Robust Multi-bit Text Watermark with Llm-based Paraphrasers, by Xiaojun Xu et al.
Summary of Fine-grained Behavior Simulation with Role-playing Large Language Model on Social Media, by Kun Li et al.
Summary of U-math: a University-level Benchmark For Evaluating Mathematical Skills in Llms, by Konstantin Chernyshev et al.
Summary of Optimizing Dense Visual Predictions Through Multi-task Coherence and Prioritization, by Maxime Fontana et al.
Summary of Large Language Models Show Both Individual and Collective Creativity Comparable to Humans, by Luning Sun et al.
Summary of Does Safety Training Of Llms Generalize to Semantically Related Natural Prompts?, by Sravanti Addepalli et al.
Summary of Aim: Adaptive Inference Of Multi-modal Llms Via Token Merging and Pruning, by Yiwu Zhong et al.
Summary of Intent-driven In-context Learning For Few-shot Dialogue State Tracking, by Zihao Yi and Zhe Xu and Ying Shen
Summary of Integrating Generative Ai Into Art Therapy: a Technical Showcase, by Yannis Valentin Schmutz et al.
Summary of Contextual Data Integration For Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions, by Romain Rochas (licit-eco7 et al.
Summary of Ai-driven Resource Allocation Framework For Microservices in Hybrid Cloud Platforms, by Biman Barua and M. Shamim Kaiser
Summary of Av-odyssey Bench: Can Your Multimodal Llms Really Understand Audio-visual Information?, by Kaixiong Gong et al.
Summary of Projection Abstractions in Planning Under the Lenses Of Abstractions For Mdps, by Giuseppe Canonaco et al.
Summary of Time-reversal Provides Unsupervised Feedback to Llms, by Yerram Varun et al.
Summary of Scaling Image Tokenizers with Grouped Spherical Quantization, by Jiangtao Wang et al.
Summary of Qa-toolbox: Conversational Question-answering For Process Task Guidance in Manufacturing, by Ramesh Manuvinakurike et al.
Summary of Anigs: Animatable Gaussian Avatar From a Single Image with Inconsistent Gaussian Reconstruction, by Lingteng Qiu et al.
Summary of Scalable Image Tokenization with Index Backpropagation Quantization, by Fengyuan Shi et al.
Summary of Applying Irt to Distinguish Between Human and Generative Ai Responses to Multiple-choice Assessments, by Alona Strugatski and Giora Alexandron
Summary of Hybrid-squad: Hybrid Scholarly Question Answering Dataset, by Tilahun Abedissa Taffa et al.
Summary of An Evolutionary Large Language Model For Hallucination Mitigation, by Abdennour Boulesnane and Abdelhakim Souilah
Summary of Optimization Of Transformer Heart Disease Prediction Model Based on Particle Swarm Optimization Algorithm, by Jingyuan Yi et al.
Summary of Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3d Objects, by Abdurrahman Zeybey et al.
Summary of Cnnsum: Exploring Long-context Summarization with Large Language Models in Chinese Novels, by Lingxiao Wei et al.
Summary of Minimization Of Boolean Complexity in In-context Concept Learning, by Leroy Z. Wang et al.
Summary of Constrained Identifiability Of Causal Effects, by Yizuo Chen et al.
Summary of Flame 3 Dataset: Unleashing the Power Of Radiometric Thermal Uav Imagery For Wildfire Management, by Bryce Hopkins et al.
Summary of A Novel Compact Llm Framework For Local, High-privacy Ehr Data Applications, by Yixiang Qu et al.
Summary of Deep-learning Based Docking Methods: Fair Comparisons to Conventional Docking Workflows, by Ajay N. Jain et al.
Summary of Mld-ea: Check and Complete Narrative Coherence by Introducing Emotions and Actions, By Jinming Zhang et al.
Summary of Comparative Performance Of Machine Learning Algorithms For Early Genetic Disorder and Subclass Classification, by Abu Bakar Siddik et al.
Summary of Layoutvlm: Differentiable Optimization Of 3d Layout Via Vision-language Models, by Fan-yun Sun et al.
Summary of Deep Learning Approach For Predicting the Replicator Equation in Evolutionary Game Theory, by Advait Chandorkar
Summary of Cross-attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-image Generative Models, by Jungwon Park et al.
Summary of Videogen-of-thought: Step-by-step Generating Multi-shot Video with Minimal Manual Intervention, by Mingzhe Zheng et al.
Summary of Sustainable Self-evolution Adversarial Training, by Wenxuan Wang et al.
Summary of A Comprehensive Evaluation Of Large Language Models on Aspect-based Sentiment Analysis, by Changzhi Zhou et al.
Summary of Ah-ocda: Amplitude-based Curriculum Learning and Hopfield Segmentation Model For Open Compound Domain Adaptation, by Jaehyun Choi et al.
Summary of Large Multimodal Agents For Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction, by Fouad Trad et al.
Summary of Gerps-compare: Comparing Ner Methods For Legal Norm Analysis, by Sarah T. Bachinger et al.
Summary of Scimage: How Good Are Multimodal Large Language Models at Scientific Text-to-image Generation?, by Leixin Zhang et al.
Summary of Gracefully Filtering Backdoor Samples For Generative Large Language Models Without Retraining, by Zongru Wu et al.
Summary of F-se-lstm: a Time Series Anomaly Detection Method with Frequency Domain Information, by Yi-xiang Lu et al.
Summary of Towards Rich Emotions in 3d Avatars: a Text-to-3d Avatar Generation Benchmark, by Haidong Xu et al.
Summary of Fcl-vit: Task-aware Attention Tuning For Continual Learning, by Anestis Kaimakamidis et al.
Summary of Bias Analysis Of Ai Models For Undergraduate Student Admissions, by Kelly Van Busum and Shiaofen Fang
Summary of Wem-gan: Wavelet Transform Based Facial Expression Manipulation, by Dongya Sun et al.
Summary of Graph-powered Defense: Controller Area Network Intrusion Detection For Unmanned Aerial Vehicles, by Reek Majumder et al.
Summary of Semantic Tokens in Retrieval Augmented Generation, by Joel Suro
Summary of Factored Space Models: Towards Causality Between Levels Of Abstraction, by Scott Garrabrant et al.
Summary of The Reality Of Ai and Biorisk, by Aidan Peppin et al.
Summary of The Evolution and Future Perspectives Of Artificial Intelligence Generated Content, by Chengzhang Zhu et al.
Summary of The Use Of Large Language Models to Enhance Cancer Clinical Trial Educational Materials, by Mingye Gao et al.
Summary of Usage Governance Advisor: From Intent to Ai Governance, by Elizabeth M. Daly et al.
Summary of Enhancing Deep Learning Model Robustness Through Metamorphic Re-training, by Said Togru et al.
Summary of Real-time Multilingual Sign Language Processing, by Amit Moryossef
Summary of Llms4life: Large Language Models For Ontology Learning in Life Sciences, by Nadeen Fathallah et al.
Summary of Construction and Optimization Of Health Behavior Prediction Model For the Elderly in Smart Elderly Care, by Qian Guo et al.
Summary of Beyond Generation: Unlocking Universal Editing Via Self-supervised Fine-tuning, by Harold Haodong Chen et al.
Summary of Accdiffusion V2: Towards More Accurate Higher-resolution Diffusion Extrapolation, by Zhihang Lin et al.
Summary of Trust & Safety Of Llms and Llms in Trust & Safety, by Doohee You et al.
Summary of A Privacy-preserving Distributed Credible Evidence Fusion Algorithm For Collective Decision-making, by Chaoxiong Ma et al.
Summary of Graph Learning For Planning: the Story Thus Far and Open Challenges, by Dillon Z. Chen et al.
Summary of Personalized Multimodal Large Language Models: a Survey, by Junda Wu et al.
Summary of Mining Tweets to Predict Future Bitcoin Price, by Ashutosh Hathidara et al.
Summary of Analyzing the Impact Of Ai Tools on Student Study Habits and Academic Performance, by Ben Ward et al.
Summary of Keeping Experts in the Loop: Expert-guided Optimization For Clinical Data Classification Using Large Language Models, by Nader Karayanni et al.
Summary of Visco: Benchmarking Fine-grained Critique and Correction Towards Self-improvement in Visual Reasoning, by Xueqing Wu et al.
Summary of Videoicl: Confidence-based Iterative In-context Learning For Out-of-distribution Video Understanding, by Kangsan Kim et al.
Summary of Anatomically-grounded Fact Checking Of Automated Chest X-ray Reports, by R. Mahmood et al.
Summary of Mba-rag: a Bandit Approach For Adaptive Retrieval-augmented Generation Through Question Complexity, by Xiaqiang Tang et al.
Summary of Handwriting-based Automated Assessment and Grading Of Degree Of Handedness: a Pilot Study, by Smriti Bala et al.
Summary of Ncdd: Nearest Centroid Distance Deficit For Out-of-distribution Detection in Gastrointestinal Vision, by Sandesh Pokhrel et al.
Summary of Agentic-hls: An Agentic Reasoning Based High-level Synthesis System Using Large Language Models (ai For Eda Workshop 2024), by Ali Emre Oztas et al.
Summary of Medchain: Bridging the Gap Between Llm Agents and Clinical Practice Through Interactive Sequential Benchmarking, by Jie Liu et al.
Summary of Nyt-connections: a Deceptively Simple Text Classification Task That Stumps System-1 Thinkers, by Angel Yahir Loredo Lopez et al.
Summary of If Eleanor Rigby Had Met Chatgpt: a Study on Loneliness in a Post-llm World, by Adrian De Wynter
Summary of Image Forgery Localization Via Guided Noise and Multi-scale Feature Aggregation, by Yakun Niu et al.
Summary of Concept Based Continuous Prompts For Interpretable Text Classification, by Qian Chen et al.
Summary of Digital Epidemiology: Leveraging Social Media For Insight Into Epilepsy and Mental Health, by Liza Dahiya et al.
Summary of Command-line Risk Classification Using Transformer-based Neural Architectures, by Paolo Notaro et al.
Summary of Uncertainty-aware Regularization For Image-to-image Translation, by Anuja Vats et al.
Summary of A Neurosymbolic Fast and Slow Architecture For Graph Coloring, by Vedant Khandelwal et al.
Summary of Efficient Compression Of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling, by Xihaier Luo et al.
Summary of Quantifying the Reliability Of Predictions in Detection Transformers: Object-level Calibration and Image-level Uncertainty, by Young-jin Park and Carson Sobolewski and Navid Azizan
Summary of Noise Injection Reveals Hidden Capabilities Of Sandbagging Language Models, by Cameron Tice et al.
Summary of Iqa-adapter: Exploring Knowledge Transfer From Image Quality Assessment to Diffusion-based Generative Models, by Khaled Abud et al.
Summary of Randar: Decoder-only Autoregressive Visual Generation in Random Orders, by Ziqi Pang et al.
Summary of [cls] Attention Is All You Need For Training-free Visual Token Pruning: Make Vlm Inference Faster, by Qizhe Zhang et al.
Summary of Recurrent Neural Network on Picture Model, by Weihan Xu
Summary of Fedpaw: Federated Learning with Personalized Aggregation Weights For Urban Vehicle Speed Prediction, by Yuepeng He et al.
Summary of Align-kd: Distilling Cross-modal Alignment Knowledge For Mobile Vision-language Model, by Qianhan Feng et al.
Summary of Enhancing Perception Capabilities Of Multimodal Llms with Training-free Fusion, by Zhuokun Chen et al.
Summary of Mftf: Mask-free Training-free Object Level Layout Control Diffusion Model, by Shan Yang
Summary of Multimodal Medical Disease Classification with Llama Ii, by Christian Gapp et al.