Paper List
We recommend you use the search box as this list is very long.
-
Summary of Machine Learning-based Nlp For Emotion Classification on a Cholera X Dataset, by Paul Jideani et al.
-
Summary of Traj-llm: a New Exploration For Empowering Trajectory Prediction with Pre-trained Large Language Models, by Zhengxing Lan et al.
-
Summary of Delve Into Base-novel Confusion: Redundancy Exploration For Few-shot Class-incremental Learning, by Haichen Zhou et al.
-
Summary of Unicorn: U-net For Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations, by Jaesung Park et al.
-
Summary of Cleangraph: Human-in-the-loop Knowledge Graph Refinement and Completion, by Tyler Bikaun et al.
-
Summary of Factors Influencing User Willingness to Use Sora, by Gustave Florentin Nkoulou Mvondo et al.
-
Summary of Structured Click Control in Transformer-based Interactive Segmentation, by Long Xu and Yongquan Chen and Rui Huang and Feng Wu and Shiwu Lai
-
Summary of Certified Policy Verification and Synthesis For Mdps Under Distributional Reach-avoidance Properties, by S. Akshay et al.
-
Summary of Feature Map Convergence Evaluation For Functional Module, by Ludan Zhang et al.
-
Summary of Space-time Reinforcement Network For Video Object Segmentation, by Yadang Chen et al.
-
Summary of Mfa-net: Multi-scale Feature Fusion Attention Network For Liver Tumor Segmentation, by Yanli Yuan and Bingbing Wang and Chuan Zhang and Jingyi Xu and Ximeng Liu and Liehuang Zhu
-
Summary of Counterfactual and Semifactual Explanations in Abstract Argumentation: Formal Foundations, Complexity and Computation, by Gianvincenzo Alfano et al.
-
Summary of Dcnn: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator For Fine-grained Objects, by Da Fu et al.
-
Summary of Human-centric Reward Optimization For Reinforcement Learning-based Automated Driving Using Large Language Models, by Ziqi Zhou et al.
-
Summary of Enriched Bert Embeddings For Scholarly Publication Classification, by Benjamin Wolff et al.
-
Summary of Nl2plan: Robust Llm-driven Planning From Minimal Text Descriptions, by Elliot Gestrin et al.
-
Summary of Iterative Experience Refinement Of Software-developing Agents, by Chen Qian et al.
-
Summary of On the Foundations Of Earth and Climate Foundation Models, by Xiao Xiang Zhu et al.
-
Summary of Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning, by Sayantan Pal et al.
-
Summary of Enhancing the Efficiency and Accuracy Of Underlying Asset Reviews in Structured Finance: the Application Of Multi-agent Framework, by Xiangpeng Wan et al.
-
Summary of Behaviour Planning: a Toolkit For Diverse Planning, by Mustafa F Abdelwahed et al.
-
Summary of Cross-iqa: Unsupervised Learning For Image Quality Assessment, by Zhen Zhang
-
Summary of A New Dataset and Comparative Study For Aphid Cluster Detection and Segmentation in Sorghum Fields, by Raiyan Rahman et al.
-
Summary of Enhancing Spatiotemporal Disease Progression Models Via Latent Diffusion and Prior Knowledge, by Lemuel Puglisi et al.
-
Summary of Functional Equivalence with Nars, by Robert Johansson et al.
-
Summary of Meddoc-bot: a Chat Tool For Comparative Analysis Of Large Language Models in the Context Of the Pediatric Hypertension Guideline, by Mohamed Yaseen Jabarulla et al.
-
Summary of Automated Computation Of Therapies Using Failure Mode and Effects Analysis in the Medical Domain, by Malte Luttermann et al.
-
Summary of Alphamath Almost Zero: Process Supervision Without Process, by Guoxin Chen et al.
-
Summary of A Short Survey: Exploring Knowledge Graph-based Neural-symbolic System From Application Perspective, by Shenzhe Zhu et al.
-
Summary of Enabling High-sparsity Foundational Llama Models with Efficient Pretraining and Deployment, by Abhinav Agarwalla et al.
-
Summary of Green: Generative Radiology Report Evaluation and Error Notation, by Sophie Ostmeier et al.
-
Summary of Memorymamba: Memory-augmented State Space Model For Defect Recognition, by Qianning Wang et al.
-
Summary of Socialformer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers For Trajectory Prediction, by Zixu Wang et al.
-
Summary of Organizing a Society Of Language Models: Structures and Mechanisms For Enhanced Collective Intelligence, by Silvan Ferreira et al.
-
Summary of Guylingo: the Republic Of Guyana Creole Corpora, by Christopher Clarke et al.
-
Summary of Self-improving Customer Review Response Generation Based on Llms, by Guy Azov et al.
-
Summary of Vsa4vqa: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images, by Anna Penzkofer et al.
-
Summary of Persona Inconstancy in Multi-agent Llm Collaboration: Conformity, Confabulation, and Impersonation, by Razan Baltaji et al.
-
Summary of Ai-driven Frameworks For Enhancing Data Quality in Big Data Ecosystems: Error_detection, Correction, and Metadata Integration, by Widad Elouataoui
-
Summary of Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction Of Stop-or-go Decisions, by Ziye Qin and Siyan Li and Guoyuan Wu and Matthew J. Barth and Amr Abdelraouf and Rohit Gupta and Kyungtae Han
-
Summary of Unified Locational Differential Privacy Framework, by Aman Priyanshu and Yash Maurya and Suriya Ganesh and Vy Tran
-
Summary of Trio-vit: Post-training Quantization and Acceleration For Softmax-free Efficient Vision Transformer, by Huihong Shi et al.
-
Summary of A Roadmap For Multilingual, Multimodal Domain Independent Deception Detection, by Dainis Boumber et al.
-
Summary of Medpromptextract (medical Data Extraction Tool): Anonymization and Hi-fidelity Automated Data Extraction Using Nlp and Prompt Engineering, by Roomani Srivastava et al.
-
Summary of Boosting 3d Neuron Segmentation with 2d Vision Transformer Pre-trained on Natural Images, by Yik San Cheng et al.
-
Summary of Relations Prediction For Knowledge Graph Completion Using Large Language Models, by Sakher Khalil Alqaaidi et al.
-
Summary of Enhancing Contextual Understanding in Large Language Models Through Contrastive Decoding, by Zheng Zhao et al.
-
Summary of Has This Fact Been Edited? Detecting Knowledge Edits in Language Models, by Paul Youssef et al.
-
Summary of Efficient Text-driven Motion Generation Via Latent Consistency Training, by Mengxian Hu et al.
-
Summary of Region-specific Risk Quantification For Interpretable Prognosis Of Covid-19, by Zhusi Zhong and Jie Li and Zhuoqi Ma and Scott Collins and Harrison Bai and Paul Zhang and Terrance Healey and Xinbo Gao and Michael K. Atalay and Zhicheng Jiao
-
Summary of Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to English, by Aekansh Kathunia et al.
-
Summary of Responsible Ai: Portraits with Intelligent Bibliometrics, by Yi Zhang et al.
-
Summary of Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models, by Fares Abawi and Di Fu and Stefan Wermter
-
Summary of Agent Hospital: a Simulacrum Of Hospital with Evolvable Medical Agents, by Junkai Li et al.
-
Summary of Robust Collaborative Perception Without External Localization and Clock Devices, by Zixing Lei et al.
-
Summary of Can Large Language Models Make the Grade? An Empirical Study Evaluating Llms Ability to Mark Short Answer Questions in K-12 Education, by Owen Henkel et al.
-
Summary of Medadapter: Efficient Test-time Adaptation Of Large Language Models Towards Medical Reasoning, by Wenqi Shi et al.
-
Summary of High Order Reasoning For Time Critical Recommendation in Evidence-based Medicine, by Manjiang Yu et al.
-
Summary of Ac-mambaseg: An Adaptive Convolution and Mamba-based Architecture For Enhanced Skin Lesion Segmentation, by Viet-thanh Nguyen et al.
-
Summary of Anitalker: Animate Vivid and Diverse Talking Faces Through Identity-decoupled Facial Motion Encoding, by Tao Liu et al.
-
Summary of Vietnamese Ai Generated Text Detection, by Quang-dan Tran et al.
-
Summary of Animate Your Thoughts: Decoupled Reconstruction Of Dynamic Natural Vision From Slow Brain Activity, by Yizhuo Lu and Changde Du and Chong Wang and Xuanliu Zhu and Liuyun Jiang and Xujin Li and Huiguang He
-
Summary of Artificial Intelligence in the Autonomous Navigation Of Endovascular Interventions: a Systematic Review, by Harry Robertshaw et al.
-
Summary of Accelerating Medical Knowledge Discovery Through Automated Knowledge Graph Generation and Enrichment, by Mutahira Khalid et al.
-
Summary of Are Biological Systems More Intelligent Than Artificial Intelligence?, by Michael Timothy Bennett
-
Summary of Efficient Exploration Of Image Classifier Failures with Bayesian Optimization and Text-to-image Models, by Adrien Lecoz et al.
-
Summary of Neuromorphic Correlates Of Artificial Consciousness, by Anwaar Ulhaq
-
Summary of What Is Sentiment Meant to Mean to Language Models?, by Michael Burnham
-
Summary of Controlled Query Evaluation Through Epistemic Dependencies, by Gianluca Cima et al.
-
Summary of Knowledge Graph Extension by Entity Type Recognition, By Daqian Shi
-
Summary of Implicit Neural Representations For Robust Joint Sparse-view Ct Reconstruction, by Jiayang Shi et al.
-
Summary of Picle: Eliciting Diverse Behaviors From Large Language Models with Persona In-context Learning, by Hyeong Kyu Choi et al.
-
Summary of Satswinmae: Efficient Autoencoding For Multiscale Time-series Satellite Imagery, by Yohei Nakayama et al.
-
Summary of A Framework For Human Evaluation Of Large Language Models in Healthcare Derived From Literature Review, by Thomas Yu Chow Tam et al.
-
Summary of Leveraging the Human Ventral Visual Stream to Improve Neural Network Robustness, by Zhenan Shao et al.
-
Summary of Active Neural 3d Reconstruction with Colorized Surface Voxel-based View Selection, by Hyunseo Kim et al.
-
Summary of Explainable Interface For Human-autonomy Teaming: a Survey, by Xiangqi Kong et al.
-
Summary of Astro-ner — Astronomy Named Entity Recognition: Is Gpt a Good Domain Expert Annotator?, by Julia Evans et al.
-
Summary of Unsamflow: Unsupervised Optical Flow Guided by Segment Anything Model, By Shuai Yuan et al.
-
Summary of Deep Pulse-signal Magnification For Remote Heart Rate Estimation in Compressed Videos, by Joaquim Comas et al.
-
Summary of Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modeling, by Maxim Ifergan et al.
-
Summary of Isopignistic Canonical Decomposition Via Belief Evolution Network, by Qianli Zhou and Tianxiang Zhan and Yong Deng
-
Summary of Context Steering: Controllable Personalization at Inference Time, by Jerry Zhi-yang He et al.
-
Summary of Understanding Position Bias Effects on Fairness in Social Multi-document Summarization, by Olubusayo Olabisi and Ameeta Agrawal
-
Summary of Learning Under Imitative Strategic Behavior with Unforeseeable Outcomes, by Tian Xie et al.
-
Summary of Exploiting Chatgpt For Diagnosing Autism-associated Language Disorders and Identifying Distinct Features, by Chuanbo Hu et al.
-
Summary of Socialgfs: Learning Social Gradient Fields For Multi-agent Reinforcement Learning, by Qian Long et al.
-
Summary of Aloe: a Family Of Fine-tuned Open Healthcare Llms, by Ashwin Kumar Gururajan et al.
-
Summary of An Essay Concerning Machine Understanding, by Herbert L. Roitblat
-
Summary of Model-based Reinforcement Learning For Protein Backbone Design, by Frederic Renard et al.
-
Summary of Exploring Combinatorial Problem Solving with Large Language Models: a Case Study on the Travelling Salesman Problem Using Gpt-3.5 Turbo, by Mahmoud Masoud et al.
-
Summary of Analyzing Narrative Processing in Large Language Models (llms): Using Gpt4 to Test Bert, by Patrick Krauss et al.
-
Summary of Argumentative Large Language Models For Explainable and Contestable Decision-making, by Gabriel Freedman et al.
-
Summary of Evaluating Large Language Models For Structured Science Summarization in the Open Research Knowledge Graph, by Vladyslav Nechakhin et al.
-
Summary of Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling Using Foundation Models, by Mohamad Al Mdfaa et al.
-
Summary of Eeg2text: Open Vocabulary Eeg-to-text Decoding with Eeg Pre-training and Multi-view Transformer, by Hanwen Liu et al.
-
Summary of Assessing and Verifying Task Utility in Llm-powered Applications, by Negar Arabzadeh et al.
-
Summary of Vibe-eval: a Hard Evaluation Suite For Measuring Progress Of Multimodal Language Models, by Piotr Padlewski et al.