Paper List

We recommend you use the search box as this list is very long.

Summary of Unibevfusion: Unified Radar-vision Bevfusion For 3d Object Detection, by Haocheng Zhao et al.
Summary of Do Large Language Models Have Problem-solving Capability Under Incomplete Information Scenarios?, by Yuyan Chen et al.
Summary of Vlm’s Eye Examination: Instruct and Inspect Visual Competency Of Vision Language Models, by Nam Hyeon-woo et al.
Summary of Samedge: An Edge-cloud Video Analytics Architecture For the Segment Anything Model, by Rui Lu et al.
Summary of Choose the Final Translation From Nmt and Llm Hypotheses Using Mbr Decoding: Hw-tsc’s Submission to the Wmt24 General Mt Shared Task, by Zhanglin Wu et al.
Summary of Benchmarking Edge Ai Platforms For High-performance Ml Inference, by Rakshith Jayanth et al.
Summary of Mobilevlm: a Vision-language Model For Better Intra- and Inter-ui Understanding, by Qinzhuo Wu et al.
Summary of Past Meets Present: Creating Historical Analogy with Large Language Models, by Nianqi Li et al.
Summary of Toolplanner: a Tool Augmented Llm For Multi Granularity Instructions with Path Planning and Feedback, by Qinzhuo Wu et al.
Summary of Explainable and Human-grounded Ai For Decision Support Systems: the Theory Of Epistemic Quasi-partnerships, by John Dorsch and Maximilian Moll
Summary of Micsim: a Modular Simulator For Mixed-signal Compute-in-memory Based Ai Accelerator, by Cong Wang et al.
Summary of A-vl: Adaptive Attention For Large Vision-language Models, by Junyang Zhang et al.
Summary of Hw-tsc’s Submission to the Ccmt 2024 Machine Translation Tasks, by Zhanglin Wu et al.
Summary of Fused-net: Detecting Traffic Signs with Limited Data, by Md. Atiqur Rahman et al.
Summary of Scoring Rule Nets: Beyond Mean Target Prediction in Multivariate Regression, by Daan Roordink and Sibylle Hess
Summary of Large Model Based Agents: State-of-the-art, Cooperation Paradigms, Security and Privacy, and Future Trends, by Yuntao Wang et al.
Summary of On Logic and Generative Ai, by Yuri Gurevich and Andreas Blass
Summary of Can Large Language Models Logically Predict Myocardial Infarction? Evaluation Based on Uk Biobank Cohort, by Yuxing Zhi et al.
Summary of On a Measure Of Intelligence, by Yuri Gurevich
Summary of Thought-path Contrastive Learning Via Premise-oriented Data Augmentation For Logical Reading Comprehension, by Chenxu Wang et al.
Summary of A Is For Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders, by David Chanin et al.
Summary of Beyond Words: Evaluating Large Language Models in Transportation Planning, by Shaowei Ying et al.
Summary of Unleashing the Power Of Emojis in Texts Via Self-supervised Graph Pre-training, by Zhou Zhang et al.
Summary of Encoder with the Empirical Mode Decomposition (emd) to Remove Muscle Artefacts From Eeg Signal, by Ildar Rakhmatulin
Summary of Why Is Anything Conscious?, by Michael Timothy Bennett et al.
Summary of Evaluating Gender, Racial, and Age Biases in Large Language Models: a Comparative Analysis Of Occupational and Crime Scenarios, by Vishal Mirza et al.
Summary of Can Pre-trained Language Models Generate Titles For Research Papers?, by Tohida Rehman et al.
Summary of Brain Surgery: Ensuring Gdpr Compliance in Large Language Models Via Concept Erasure, by Michele Laurelli
Summary of Semi-supervised Learning For Robust Speech Evaluation, by Huayun Zhang et al.
Summary of Eq-cbm: a Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors, by Sangwon Kim et al.
Summary of Speechworthy Instruction-tuned Language Models, by Hyundong Cho et al.
Summary of Fedgca: Global Consistent Augmentation Based Single-source Federated Domain Generalization, by Yuan Liu et al.
Summary of Instruction Tuning Vs. In-context Learning: Revisiting Large Language Models in Few-shot Computational Social Science, by Taihang Wang et al.
Summary of Quantifying Context Bias in Domain Adaptation For Object Detection, by Hojun Son and Arpan Kusari
Summary of An Evolutionary Algorithm For the Vehicle Routing Problem with Drones with Interceptions, by Carlos Pambo and Jacomine Grobler
Summary of Democratising Artificial Intelligence For Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries, by Andre De Carvalho et al.
Summary of Addressing and Visualizing Misalignments in Human Task-solving Trajectories, by Sejin Kim and Hosung Lee and Sundong Kim
Summary of Loop Neural Networks For Parameter Sharing, by Kei-sing Ng et al.
Summary of Ai Assistants For Spaceflight Procedures: Combining Generative Pre-trained Transformer and Retrieval-augmented Generation on Knowledge Graphs with Augmented Reality Cues, by Oliver Bensch et al.
Summary of Predicting Coronary Heart Disease Using a Suite Of Machine Learning Models, by Jamal Al-karaki et al.
Summary of Can-do! a Dataset and Neuro-symbolic Grounded Framework For Embodied Planning with Large Multimodal Models, by Yew Ken Chia et al.
Summary of Esperanto: Evaluating Synthesized Phrases to Enhance Robustness in Ai Detection For Text Origination, by Navid Ayoobi et al.
Summary of Hm3d-ovon: a Dataset and Benchmark For Open-vocabulary Object Goal Navigation, by Naoki Yokoyama et al.
Summary of Uu-mamba: Uncertainty-aware U-mamba For Cardiovascular Segmentation, by Ting Yu Tsai et al.
Summary of Reliable and Diverse Evaluation Of Llm Medical Knowledge Mastery, by Yuxuan Zhou et al.
Summary of Llms Are One-shot Url Classifiers and Explainers, by Fariza Rashid et al.
Summary of Dilatequant: Accurate and Efficient Diffusion Quantization Via Weight Dilation, by Xuewen Liu et al.
Summary of Manta — Model Adapter Native Generations That’s Affordable, by Ansh Chaurasia
Summary of Maskedmimic: Unified Physics-based Character Control Through Masked Motion Inpainting, by Chen Tessler et al.
Summary of To Err Is Ai! Debugging As An Intervention to Facilitate Appropriate Reliance on Ai Systems, by Gaole He et al.
Summary of Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations, by Peixin Qin et al.
Summary of Automotive Innovation Landscaping Using Llm, by Raju Gorain and Omkar Salunke
Summary of Ostr-darts: Differentiable Neural Architecture Search Based on Operation Strength, by Le Yang et al.
Summary of Pomo3d: 3d-aware Portrait Accessorizing and More, by Tzu-chieh Liu et al.
Summary of Spaceblender: Creating Context-rich Collaborative Spaces Through Generative 3d Scene Blending, by Nels Numan et al.
Summary of Mirrorstories: Reflecting Diversity Through Personalized Narrative Generation with Large Language Models, by Sarfaroz Yunusov et al.
Summary of Simple Unsupervised Knowledge Distillation with Space Similarity, by Aditya Singh and Haohan Wang
Summary of Talkmosaic: Interactive Photomosaic with Multi-modal Llm Q&a Interactions, by Kevin Li et al.
Summary of Purediffusion: Using Backdoor to Counter Backdoor in Generative Diffusion Models, by Vu Tuan Truong and Long Bao Le
Summary of Detecting Inpainted Video with Frequency Domain Insights, by Quanhui Tang and Jingtao Cao
Summary of Enhancing Advanced Visual Reasoning Ability Of Large Language Models, by Zhiyuan Li et al.
Summary of Contrastive Learning For Knowledge-based Question Generation in Large Language Models, by Zhenhong Zhang et al.
Summary of Drift to Remember, by Jin Du et al.
Summary of Mose: Monocular Semantic Reconstruction Using Nerf-lifted Noisy Priors, by Zhenhua Du et al.
Summary of Graph Neural Network Framework For Sentiment Analysis Using Syntactic Feature, by Linxiao Wu et al.
Summary of Braindreamer: Reasoning-coherent and Controllable Image Generation From Eeg Brain Signals Via Language Guidance, by Ling Wang et al.
Summary of Uncovering Latent Chain Of Thought Vectors in Language Models, by Jason Zhang et al.
Summary of Can Llms Replace Neil Degrasse Tyson? Evaluating the Reliability Of Llms As Science Communicators, by Prasoon Bajpai et al.
Summary of Oaei-llm: a Benchmark Dataset For Understanding Large Language Model Hallucinations in Ontology Matching, by Zhangcheng Qiang et al.
Summary of Groupdebate: Enhancing the Efficiency Of Multi-agent Debate Using Group Discussion, by Tongxuan Liu et al.
Summary of Ptd-sql: Partitioning and Targeted Drilling with Llms in Text-to-sql, by Ruilin Luo et al.
Summary of Normalized Narrow Jump to Conclusions: Normalized Narrow Shortcuts For Parameter Efficient Early Exit Transformer Prediction, by Amrit Diggavi Seshadri
Summary of Advancing Molecular Graph-text Pre-training Via Fine-grained Alignment, by Yibo Li et al.
Summary of Mssda: Multi-sub-source Adaptation For Diabetic Foot Neuropathy Recognition, by Yan Zhong et al.
Summary of When Less Is Not More: Large Language Models Normalize Less-frequent Terms with Lower Accuracy, by Daniel B. Hier and Thanh Son Do and Tayo Obafemi-ajayi
Summary of Theragen: Therapy For Every Generation, by Kartikey Doshi et al.
Summary of Kodexv0.1: a Family Of State-of-the-art Financial Large Language Models, by Neel Rajani et al.
Summary of Thinking Before Speaking: a Role-playing Model with Mindset, by Baohua Zhang et al.
Summary of Increasing the Value Of Information During Planning in Uncertain Environments, by Gaurab Pokharel
Summary of Entity-aware Self-attention and Contextualized Gcn For Enhanced Relation Extraction in Long Sentences, by Xin Wang et al.
Summary of Local Explanations and Self-explanations For Assessing Faithfulness in Black-box Llms, by Christos Fragkathoulas et al.
Summary of Do Large Language Models Need a Content Delivery Network?, by Yihua Cheng et al.
Summary of Optimizing the Songwriting Process: Genre-based Lyric Generation Using Deep Learning Models, by Tracy Cai et al.
Summary of Measuring Copyright Risks Of Large Language Model Via Partial Information Probing, by Weijie Zhao et al.
Summary of Stop! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions, by Robert Morabito et al.
Summary of A Personalised 3d+t Mesh Generative Model For Unveiling Normal Heart Dynamics, by Mengyun Qiao et al.
Summary of Do Language Models Practice What They Preach? Examining Language Ideologies About Gendered Language Reform Encoded in Llms, by Julia Watson et al.
Summary of Generative Ai Carries Non-democratic Biases and Stereotypes: Representation Of Women, Black Individuals, Age Groups, and People with Disability in Ai-generated Images Across Occupations, by Ayoob Sadeghiani
Summary of Llm For Everyone: Representing the Underrepresented in Large Language Models, by Samuel Cahyawijaya
Summary of Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: a Case Study on Long-form Consumer Health Question Answering in Ophthalmology, by Aidan Gilson et al.
Summary of Ci-bench: Benchmarking Contextual Integrity Of Ai Assistants on Synthetic Data, by Zhao Cheng et al.
Summary of Measuring Error Alignment For Decision-making Systems, by Binxia Xu et al.
Summary of Nonlinear Inverse Design Of Mechanical Multi-material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier, By Jaewan Park et al.
Summary of Failures in Perspective-taking Of Multimodal Ai Systems, by Bridget Leonard et al.
Summary of Efficient Visualization Of Neural Networks with Generative Models and Adversarial Perturbations, by Athanasios Karagounis
Summary of Region Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Prompt, by Xingtao Lin et al.
Summary of Meliad: Interpretable Few-shot Anomaly Detection with Metric Learning and Entropy-based Scoring, by Eirini Cholopoulou et al.
Summary of Yesbut: a High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models, by Abhilash Nandy et al.
Summary of Mapper: Multimodal Prior-guided Parameter Efficient Tuning For Referring Expression Comprehension, by Ting Liu et al.
Summary of Advancing Event Causality Identification Via Heuristic Semantic Dependency Inquiry Network, by Haoran Li et al.