Paper List

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Summary of Federating to Grow Transformers with Constrained Resources Without Model Sharing, by Shikun Shen et al.
Summary of Evtexture: Event-driven Texture Enhancement For Video Super-resolution, by Dachun Kai et al.
Summary of Mitigating Social Biases in Language Models Through Unlearning, by Omkar Dige et al.
Summary of Bild: Bi-directional Logits Difference Loss For Large Language Model Distillation, by Minchong Li et al.
Summary of Is Ai Fun? Humordb: a Curated Dataset and Benchmark to Investigate Graphical Humor, by Veedant Jain and Felipe Dos Santos Alves Feitosa and Gabriel Kreiman
Summary of Enhancing Travel Choice Modeling with Large Language Models: a Prompt-learning Approach, by Xuehao Zhai et al.
Summary of Trapezoidal Gradient Descent For Effective Reinforcement Learning in Spiking Networks, by Yuhao Pan et al.
Summary of Codreamer: Communication-based Decentralised World Models, by Edan Toledo et al.
Summary of Optimizing Psychological Counseling with Instruction-tuned Large Language Models, by Wenjie Li et al.
Summary of Enhance the Image: Super Resolution Using Artificial Intelligence in Mri, by Ziyu Li et al.
Summary of Fine-tuning Gemma-7b For Enhanced Sentiment Analysis Of Financial News Headlines, by Kangtong Mo et al.
Summary of Leveraging Large Language Models For Patient Engagement: the Power Of Conversational Ai in Digital Health, by Bo Wen et al.
Summary of Rita: a Real-time Interactive Talking Avatars Framework, by Wuxinlin Cheng et al.
Summary of Accelerating Complex Disease Treatment Through Network Medicine and Genai: a Case Study on Drug Repurposing For Breast Cancer, by Ahmed Abdeen Hamed and Tamer E. Fandy
Summary of Cu-net: a U-net Architecture For Efficient Brain-tumor Segmentation on Brats 2019 Dataset, by Qimin Zhang et al.
Summary of Multi-stage Balanced Distillation: Addressing Long-tail Challenges in Sequence-level Knowledge Distillation, by Yuhang Zhou et al.
Summary of State-of-the-art Review: the Use Of Digital Twins to Support Artificial Intelligence-guided Predictive Maintenance, by Sizhe Ma et al.
Summary of Can Long-context Language Models Subsume Retrieval, Rag, Sql, and More?, by Jinhyuk Lee et al.
Summary of Vilco-bench: Video Language Continual Learning Benchmark, by Tianqi Tang et al.
Summary of A Unified Framework For Combinatorial Optimization Based on Graph Neural Networks, by Yaochu Jin et al.
Summary of Oralytics Reinforcement Learning Algorithm, by Anna L. Trella et al.
Summary of Large Language Models Are Biased Because They Are Large Language Models, by Philip Resnik
Summary of Dialsim: a Real-time Simulator For Evaluating Long-term Multi-party Dialogue Understanding Of Conversation Systems, by Jiho Kim et al.
Summary of Convolutional Kolmogorov-arnold Networks, by Alexander Dylan Bodner et al.
Summary of Amphista: Bi-directional Multi-head Decoding For Accelerating Llm Inference, by Zeping Li et al.
Summary of Surgical Triplet Recognition Via Diffusion Model, by Daochang Liu et al.
Summary of Multi-meta-rag: Improving Rag For Multi-hop Queries Using Database Filtering with Llm-extracted Metadata, by Mykhailo Poliakov and Nadiya Shvai
Summary of Neural Residual Diffusion Models For Deep Scalable Vision Generation, by Zhiyuan Ma et al.
Summary of Adamoe: Token-adaptive Routing with Null Experts For Mixture-of-experts Language Models, by Zihao Zeng et al.
Summary of Behonest: Benchmarking Honesty in Large Language Models, by Steffi Chern et al.
Summary of Data Contamination Can Cross Language Barriers, by Feng Yao et al.
Summary of Investigating Low-cost Llm Annotation For~spoken Dialogue Understanding Datasets, by Lucas Druart (lia) et al.
Summary of Talk with Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction, by Haoqiu Yan et al.
Summary of Online-adaptive Anomaly Detection For Defect Identification in Aircraft Assembly, by Siddhant Shete et al.
Summary of Mitigating Object Hallucinations in Large Vision-language Models with Assembly Of Global and Local Attention, by Wenbin An et al.
Summary of On the Robustness Of Language Models For Tabular Question Answering, by Kushal Raj Bhandari et al.
Summary of Can Large Language Models Code Like a Linguist?: a Case Study in Low Resource Sound Law Induction, by Atharva Naik et al.
Summary of Beyond Visual Appearances: Privacy-sensitive Objects Identification Via Hybrid Graph Reasoning, by Zhuohang Jiang et al.
Summary of Large Language Model As a Universal Clinical Multi-task Decoder, by Yujiang Wu et al.
Summary of Benchmarking Multi-image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-hop Reasoning, by Bingchen Zhao et al.
Summary of Chumor 1.0: a Truly Funny and Challenging Chinese Humor Understanding Dataset From Ruo Zhi Ba, by Ruiqi He et al.
Summary of Olympicarena: Benchmarking Multi-discipline Cognitive Reasoning For Superintelligent Ai, by Zhen Huang et al.
Summary of Latent Intuitive Physics: Learning to Transfer Hidden Physics From a 3d Video, by Xiangming Zhu et al.
Summary of Is It Good Data For Multilingual Instruction Tuning or Just Bad Multilingual Evaluation For Large Language Models?, by Pinzhen Chen et al.
Summary of From Rags to Rich Parameters: Probing How Language Models Utilize External Knowledge Over Parametric Information For Factual Queries, by Hitesh Wadhwa et al.
Summary of Via: Unified Spatiotemporal Video Adaptation Framework For Global and Local Video Editing, by Jing Gu et al.
Summary of Shield: Evaluation and Defense Strategies For Copyright Compliance in Llm Text Generation, by Xiaoze Liu et al.
Summary of Claudeslens: Uncertainty Quantification in Computer Vision Models, by Mohamad Al Shaar et al.
Summary of Detecting Errors Through Ensembling Prompts (deep): An End-to-end Llm Framework For Detecting Factual Errors, by Alex Chandler et al.
Summary of Real-time Yemeni Currency Detection, by Edrees Al-edreesi and Ghaleb Al-gaphari
Summary of Traffic Prediction Considering Multiple Levels Of Spatial-temporal Information: a Multi-scale Graph Wavelet-based Approach, by Zilin Bian et al.
Summary of Bayesian-lora: Lora Based Parameter Efficient Fine-tuning Using Optimal Quantization Levels and Rank Values Trough Differentiable Bayesian Gates, by Cristian Meo et al.
Summary of Beyond Under-alignment: Atomic Preference Enhanced Factuality Tuning For Large Language Models, by Hongbang Yuan et al.
Summary of Query Routing For Homogeneous Tools: An Instantiation in the Rag Scenario, by Feiteng Mu et al.
Summary of Cycle-correspondence Loss: Learning Dense View-invariant Visual Features From Unlabeled and Unordered Rgb Images, by David B. Adrian et al.
Summary of Abstraction-of-thought Makes Language Models Better Reasoners, by Ruixin Hong et al.
Summary of A Neural Column Generation Approach to the Vehicle Routing Problem with Two-dimensional Loading and Last-in-first-out Constraints, by Yifan Xia et al.
Summary of Retrieval-augmented Generation For Generative Artificial Intelligence in Medicine, by Rui Yang et al.
Summary of Adaptive Token Biaser: Knowledge Editing Via Biasing Key Entities, by Baolong Bi et al.
Summary of Rs-gpt4v: a Unified Multimodal Instruction-following Dataset For Remote Sensing Image Understanding, by Linrui Xu et al.
Summary of Bridging Local Details and Global Context in Text-attributed Graphs, by Yaoke Wang et al.
Summary of Multisocial: Multilingual Benchmark Of Machine-generated Text Detection Of Social-media Texts, by Dominik Macko et al.
Summary of Judging the Judges: Evaluating Alignment and Vulnerabilities in Llms-as-judges, by Aman Singh Thakur et al.
Summary of Breaking the Ceiling Of the Llm Community by Treating Token Generation As a Classification For Ensembling, By Yao-ching Yu et al.
Summary of Ask-before-plan: Proactive Language Agents For Real-world Planning, by Xuan Zhang et al.
Summary of Setar: Out-of-distribution Detection with Selective Low-rank Approximation, by Yixia Li et al.
Summary of Hierarchical Prompting Taxonomy: a Universal Evaluation Framework For Large Language Models Aligned with Human Cognitive Principles, by Devichand Budagam et al.
Summary of Evaluating Evidence Attribution in Generated Fact Checking Explanations, by Rui Xing et al.
Summary of Benchmarks and Metrics For Evaluations Of Code Generation: a Critical Review, by Debalina Ghosh Paul et al.
Summary of Do More Details Always Introduce More Hallucinations in Lvlm-based Image Captioning?, by Mingqian Feng et al.
Summary of Collabstory: Multi-llm Collaborative Story Generation and Authorship Analysis, by Saranya Venkatraman et al.
Summary of Magic: Generating Self-correction Guideline For In-context Text-to-sql, by Arian Askari et al.
Summary of Is Persona Enough For Personality? Using Chatgpt to Reconstruct An Agent’s Latent Personality From Simple Descriptions, by Yongyi Ji et al.
Summary of “you Gotta Be a Doctor, Lin”: An Investigation Of Name-based Bias Of Large Language Models in Employment Recommendations, by Huy Nghiem et al.
Summary of Syncvsr: Data-efficient Visual Speech Recognition with End-to-end Crossmodal Audio Token Synchronization, by Young Jin Ahn and Jungwoo Park and Sangha Park and Jonghyun Choi and Kee-eung Kim
Summary of Cleangen: Mitigating Backdoor Attacks For Generation Tasks in Large Language Models, by Yuetai Li et al.
Summary of Adversarial Attacks on Large Language Models in Medicine, by Yifan Yang et al.
Summary of Slot State Space Models, by Jindong Jiang et al.
Summary of Codenav: Beyond Tool-use to Using Real-world Codebases with Llm Agents, by Tanmay Gupta et al.
Summary of Dassf: Dynamic-attention Scale-sequence Fusion For Aerial Object Detection, by Haodong Li et al.
Summary of Research on Dangerous Flight Weather Prediction Based on Machine Learning, by Haoxing Liu et al.
Summary of An Investigation Of Neuron Activation As a Unified Lens to Explain Chain-of-thought Eliciting Arithmetic Reasoning Of Llms, by Daking Rai et al.
Summary of A Comprehensive Study Of Structural Pruning For Vision Models, by Changhao Li et al.
Summary of Enhancing Visible-infrared Person Re-identification with Modality- and Instance-aware Visual Prompt Learning, by Ruiqi Wu et al.
Summary of Automatic Benchmarking Of Large Multimodal Models Via Iterative Experiment Programming, by Alessandro Conti et al.
Summary of Retrieval Meets Reasoning: Dynamic In-context Editing For Long-text Understanding, by Weizhi Fei et al.
Summary of Certified Ml Object Detection For Surveillance Missions, by Mohammed Belcaid (c-s Group) et al.
Summary of Queerbench: Quantifying Discrimination in Language Models Toward Queer Identities, by Mae Sosto et al.
Summary of Problem-solving in Language Model Networks, by Ciaran Regan et al.
Summary of A Cutting-edge Deep Learning Method For Enhancing Iot Security, by Nadia Ansar et al.
Summary of Pdss: a Privacy-preserving Framework For Step-by-step Distillation Of Large Language Models, by Tao Fan et al.
Summary of A Novel Algorithm For Community Detection in Networks Using Rough Sets and Consensus Clustering, by Darian H. Grass-boada et al.
Summary of Welldunn: on the Robustness and Explainability Of Language Models and Large Language Models in Identifying Wellness Dimensions, by Seyedali Mohammadi et al.
Summary of Grade Score: Quantifying Llm Performance in Option Selection, by Dmitri Iourovitski
Summary of Conformance Checking Of Fuzzy Logs Against Declarative Temporal Specifications, by Ivan Donadello et al.
Summary of When Reasoning Meets Information Aggregation: a Case Study with Sports Narratives, by Yebowen Hu et al.
Summary of Who’s Asking? User Personas and the Mechanics Of Latent Misalignment, by Asma Ghandeharioun and Ann Yuan and Marius Guerard and Emily Reif and Michael A. Lepori and Lucas Dixon
Summary of Distillnerf: Perceiving 3d Scenes From Single-glance Images by Distilling Neural Fields and Foundation Model Features, By Letian Wang et al.
Summary of Ids For Ai Systems, by Alan Chan et al.
Summary of Bias in Text Embedding Models, by Vasyl Rakivnenko et al.