Paper List

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Summary of Explaining Human Comparisons Using Alignment-importance Heatmaps, by Nhut Truong et al.
Summary of Deepscore: a Comprehensive Approach to Measuring Quality in Ai-generated Clinical Documentation, by Jon Oleson
Summary of Exploring the Traditional Nmt Model and Large Language Model For Chat Translation, by Jinlong Yang et al.
Summary of Beyond Text-to-text: An Overview Of Multimodal and Generative Artificial Intelligence For Education Using Topic Modeling, by Ville Heilala et al.
Summary of Design and Evaluation Of a Cdss For Drug Allergy Management Using Llms and Pharmaceutical Data Integration, by Gabriele De Vito et al.
Summary of Haicosystem: An Ecosystem For Sandboxing Safety Risks in Human-ai Interactions, by Xuhui Zhou et al.
Summary of A Comprehensive Survey Of Bias in Llms: Current Landscape and Future Directions, by Rajesh Ranjan et al.
Summary of Artificial Intelligence For Secured Information Systems in Smart Cities: Collaborative Iot Computing with Deep Reinforcement Learning and Blockchain, by Amin Zakaie Far et al.
Summary of Unsupervised Text Representation Learning Via Instruction-tuning For Zero-shot Dense Retrieval, by Qiuhai Zeng et al.
Summary of Graph Pruning Based Spatial and Temporal Graph Convolutional Network with Transfer Learning For Traffic Prediction, by Zihao Jing
Summary of Synchart: Synthesizing Charts From Language Models, by Mengchen Liu et al.
Summary of Context-aware and Style-related Incremental Decoding Framework For Discourse-level Literary Translation, by Yuanchang Luo et al.
Summary of Dynamic-width Speculative Beam Decoding For Efficient Llm Inference, by Zongyue Qin et al.
Summary of Enhancing Disease Detection in Radiology Reports Through Fine-tuning Lightweight Llm on Weak Labels, by Yishu Wei et al.
Summary of A Zero-shot Open-vocabulary Pipeline For Dialogue Understanding, by Abdulfattah Safa et al.
Summary of In-context Ensemble Learning From Pseudo Labels Improves Video-language Models For Low-level Workflow Understanding, by Moucheng Xu and Evangelos Chatzaroulas and Luc Mccutcheon and Abdul Ahad and Hamzah Azeem and Janusz Marecki and Ammar Anwar
Summary of Machine Translation Advancements Of Low-resource Indian Languages by Transfer Learning, By Bin Wei et al.
Summary of Five Questions and Answers About Artificial Intelligence, by Alberto Prieto et al.
Summary of Enhancing Text-to-sql Capabilities Of Large Language Models Via Domain Database Knowledge Injection, by Xingyu Ma et al.
Summary of Enhancing Iot Based Plant Health Monitoring Through Advanced Human Plant Interaction Using Large Language Models and Mobile Applications, by Kriti Agarwal et al.
Summary of Planning in the Dark: Llm-symbolic Planning Pipeline Without Experts, by Sukai Huang et al.
Summary of Tsfeatlime: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting, by Hongnan Ma et al.
Summary of Multilingual Transfer and Domain Adaptation For Low-resource Languages Of Spain, by Yuanchang Luo et al.
Summary of Leveraging Unsupervised Learning For Cost-effective Visual Anomaly Detection, by Yunbo Long et al.
Summary of Datagpt-sql-7b: An Open-source Language Model For Text-to-sql, by Lixia Wu et al.
Summary of Artificial Human Intelligence: the Role Of Humans in the Development Of Next Generation Ai, by Suayb S. Arslan
Summary of Ai Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in Llm-based Batch Relevance Assessment, by Nuo Chen et al.
Summary of From Goal-conditioned to Language-conditioned Agents Via Vision-language Models, by Theo Cachet and Christopher R. Dance and Olivier Sigaud
Summary of Ltntorch: Pytorch Implementation Of Logic Tensor Networks, by Tommaso Carraro et al.
Summary of Adversarial Watermarking For Face Recognition, by Yuguang Yao et al.
Summary of Towards Robust Object Detection: Identifying and Removing Backdoors Via Module Inconsistency Analysis, by Xianda Zhang and Siyuan Liang
Summary of Implicit Assessment Of Language Learning During Practice As Accurate As Explicit Testing, by Jue Hou et al.
Summary of Neuromorphic Drone Detection: An Event-rgb Multimodal Approach, by Gabriele Magrini et al.
Summary of Interactive Tools Substantially Assist Lm Agents in Finding Security Vulnerabilities, by Talor Abramovich et al.
Summary of Ram2c: a Liberal Arts Educational Chatbot Based on Retrieval-augmented Multi-role Multi-expert Collaboration, by Haoyu Huang et al.
Summary of Vlmine: Long-tail Data Mining with Vision Language Models, by Mao Ye et al.
Summary of From Text to Treatment Effects: a Meta-learning Approach to Handling Text-based Confounding, by Henri Arno et al.
Summary of Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational Qa, by Nirmal Roy et al.
Summary of Seal: Suite For Evaluating Api-use Of Llms, by Woojeong Kim et al.
Summary of Pixelbytes: Catching Unified Embedding For Multimodal Generation, by Fabien Furfaro
Summary of Gem-rag: Graphical Eigen Memories For Retrieval Augmented Generation, by Brendan Hogan Rappazzo et al.
Summary of Physics Enhanced Residual Policy Learning (perpl) For Safety Cruising in Mixed Traffic Platooning Under Actuator and Communication Delay, by Keke Long et al.
Summary of Facet: Fast and Accurate Event-based Eye Tracking Using Ellipse Modeling For Extended Reality, by Junyuan Ding et al.
Summary of Synatra: Turning Indirect Knowledge Into Direct Demonstrations For Digital Agents at Scale, by Tianyue Ou et al.
Summary of Real-time Pedestrian Detection on Iot Edge Devices: a Lightweight Deep Learning Approach, by Muhammad Dany Alfikri et al.
Summary of Mitigating Semantic Leakage in Cross-lingual Embeddings Via Orthogonality Constraint, by Dayeon Ki et al.
Summary of A Comprehensive Evaluation Of Large Language Models on Mental Illnesses, by Abdelrahman Hanafi et al.
Summary of Automated Assessment Of Multimodal Answer Sheets in the Stem Domain, by Rajlaxmi Patil et al.
Summary of Clsp: High-fidelity Contrastive Language-state Pre-training For Agent State Representation, by Fuxian Huang et al.
Summary of Layer-wise Model Merging For Unsupervised Domain Adaptation in Segmentation Tasks, by Roberto Alcover-couso et al.
Summary of Asthmabot: Multi-modal, Multi-lingual Retrieval Augmented Generation For Asthma Patient Support, by Adil Bahaj and Mounir Ghogho
Summary of Swiftdossier: Tailored Automatic Dossier For Drug Discovery with Llms and Agents, by Gabriele Fossi et al.
Summary of 60 Data Points Are Sufficient to Fine-tune Llms For Question-answering, by Junjie Ye et al.
Summary of From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with Ai Video Assistant, by Anna Bodonhelyi et al.
Summary of Automatic Feature Learning For Essence: a Case Study on Car Sequencing, by Alessio Pellegrino et al.
Summary of Chattronics: Using Gpts to Assist in the Design Of Data Acquisition Systems, by Jonathan Paul Driemeyer Brown et al.
Summary of Goal-based Neural Physics Vehicle Trajectory Prediction Model, by Rui Gan et al.
Summary of Hotvcom: Generating Buzzworthy Comments For Videos, by Yuyan Chen et al.
Summary of Madial-bench: Towards Real-world Evaluation Of Memory-augmented Dialogue Generation, by Junqing He et al.
Summary of Learning From Contrastive Prompts: Automated Optimization and Adaptation, by Mingqi Li et al.
Summary of Maceip: a Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities, by Truong Thanh Hung Nguyen et al.
Summary of Behavioral Bias Of Vision-language Models: a Behavioral Finance View, by Yuhang Xiao et al.
Summary of Generative Ai Is Not Ready For Clinical Use in Patient Education For Lower Back Pain Patients, Even with Retrieval-augmented Generation, by Yi-fei Zhao et al.
Summary of Starvid: Enhancing Semantic Alignment in Video Diffusion Models Via Spatial and Syntactic Guided Attention Refocusing, by Yuanhang Li et al.
Summary of Omnibench: Towards the Future Of Universal Omni-language Models, by Yizhi Li et al.
Summary of A Preliminary Study Of O1 in Medicine: Are We Closer to An Ai Doctor?, by Yunfei Xie et al.
Summary of Cognitive Phantoms in Llms Through the Lens Of Latent Variables, by Sanne Peereboom et al.
Summary of Disha: Dimension-sharding Adaptation Of Large Language Models with Fast Convergence and Fast Computation, by Jiale Kang
Summary of Vera: Validation and Enhancement For Retrieval Augmented Systems, by Nitin Aravind Birur et al.
Summary of Prompting Large Language Models For Supporting the Differential Diagnosis Of Anemia, by Elisa Castagnari (heka) et al.
Summary of Kalahi: a Handcrafted, Grassroots Cultural Llm Evaluation Suite For Filipino, by Jann Railey Montalan et al.
Summary of Parse Trees Guided Llm Prompt Compression, by Wenhao Mao et al.
Summary of Steward: Natural Language Web Automation, by Brian Tang et al.
Summary of In-context Learning May Not Elicit Trustworthy Reasoning: A-not-b Errors in Pretrained Language Models, by Pengrui Han et al.
Summary of Mammo-clustering: a Multi-views Tri-level Information Fusion Context Clustering Framework For Localization and Classification in Mammography, by Shilong Yang et al.
Summary of End-to-end Graph Flattening Method For Large Language Models, by Bin Hong et al.
Summary of Dsg-kd: Knowledge Distillation From Domain-specific to General Language Models, by Sangyeon Cho et al.
Summary of Retrieval Augmented Generation (rag) and Beyond: a Comprehensive Survey on How to Make Your Llms Use External Data More Wisely, by Siyun Zhao et al.
Summary of Sparse-to-dense Lidar Point Generation by Lidar-camera Fusion For 3d Object Detection, By Minseung Lee et al.
Summary of Ts-htfa: Advancing Time Series Forecasting Via Hierarchical Text-free Alignment with Large Language Models, by Pengfei Wang et al.
Summary of Evaluating Theory Of (an Uncertain) Mind: Predicting the Uncertain Beliefs Of Others in Conversation Forecasting, by Anthony Sicilia and Malihe Alikhani
Summary of Multi-modal Generative Ai: Multi-modal Llm, Diffusion and Beyond, by Hong Chen et al.
Summary of Vibertgrid Bilstm-crf: Multimodal Key Information Extraction From Unstructured Financial Documents, by Furkan Pala et al.
Summary of Generalizing Monocular Colonoscopy Image Depth Estimation by Uncertainty-based Global and Local Fusion Network, By Sijia Du et al.
Summary of Inference-friendly Models with Mixattention, by Shashank Rajput et al.
Summary of Analogous Alignments: Digital “formally” Meets Analog, by Hansa Mohanty and Deepak Narayan Gadde
Summary of Generative Llm Powered Conversational Ai Application For Personalized Risk Assessment: a Case Study in Covid-19, by Mohammad Amin Roshani et al.
Summary of Brotherhood at Wmt 2024: Leveraging Llm-generated Contextual Conversations For Cross-lingual Image Captioning, by Siddharth Betala and Ishan Chokshi
Summary of Depression Diagnosis Dialogue Simulation: Self-improving Psychiatrist with Tertiary Memory, by Kunyao Lan et al.
Summary of Enhancing Scientific Reproducibility Through Automated Biocompute Object Creation Using Retrieval-augmented Generation From Publications, by Sean Kim and Raja Mazumder
Summary of M2ost: Many-to-one Regression For Predicting Spatial Transcriptomics From Digital Pathology Images, by Hongyi Wang et al.
Summary of Spformer: a Transformer Based Drl Decision Making Method For Connected Automated Vehicles, by Ye Han et al.
Summary of Cost-effective, High-performance Open-source Llms Via Optimized Context Retrieval, by Jordi Bayarri-planas and Ashwin Kumar Gururajan and Dario Garcia-gasulla
Summary of Log-normal Mutations and Their Use in Detecting Surreptitious Fake Images, by Ismail Labiad et al.
Summary of Vleu: a Method For Automatic Evaluation For Generalizability Of Text-to-image Models, by Jingtao Cao et al.
Summary of Target-aware Language Modeling Via Granular Data Sampling, by Ernie Chang et al.
Summary of Erabal: Enhancing Role-playing Agents Through Boundary-aware Learning, by Yihong Tang et al.
Summary of Toxicraft: a Novel Framework For Synthetic Generation Of Harmful Information, by Zheng Hui et al.
Summary of Less Yet Robust: Crucial Region Selection For Scene Recognition, by Jianqi Zhang and Mengxuan Wang and Jingyao Wang and Lingyu Si and Changwen Zheng and Fanjiang Xu
Summary of Distribution-level Feature Distancing For Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting, by Dasol Choi et al.