Paper List

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Summary of Coevol: Constructing Better Responses For Instruction Finetuning Through Multi-agent Cooperation, by Renhao Li et al.
Summary of Unified Modeling Enhanced Multimodal Learning For Precision Neuro-oncology, by Huahui Yi and Xiaofei Wang and Kang Li and Chao Li
Summary of T2s-gpt: Dynamic Vector Quantization For Autoregressive Sign Language Production From Text, by Aoxiong Yin et al.
Summary of Beyond Bare Queries: Open-vocabulary Object Grounding with 3d Scene Graph, by Sergey Linok et al.
Summary of Mining Frequent Structures in Conceptual Models, by Mattia Fumagalli et al.
Summary of Argus: Benchmarking and Enhancing Vision-language Models For 3d Radiology Report Generation, by Che Liu et al.
Summary of Scaling Large Language Model-based Multi-agent Collaboration, by Chen Qian et al.
Summary of Trustworthy and Practical Ai For Healthcare: a Guided Deferral System with Large Language Models, by Joshua Strong et al.
Summary of Merging Improves Self-critique Against Jailbreak Attacks, by Victor Gallego
Summary of Needle in a Multimodal Haystack, by Weiyun Wang et al.
Summary of Improving Commonsense Bias Classification by Mitigating the Influence Of Demographic Terms, By Jinkyu Lee et al.
Summary of Dual-reflect: Enhancing Large Language Models For Reflective Translation Through Dual Learning Feedback Mechanisms, by Andong Chen et al.
Summary of Qabas: An Open-source Arabic Lexicographic Database, by Mustafa Jarrar et al.
Summary of Are Large Language Models the New Interface For Data Pipelines?, by Sylvio Barbon Junior et al.
Summary of A Human-in-the-loop Approach to Improving Cross-text Prosody Transfer, by Himanshu Maurya and Atli Sigurgeirsson
Summary of Prototypical Reward Network For Data-efficient Rlhf, by Jinghan Zhang et al.
Summary of The Prompt Report: a Systematic Survey Of Prompt Engineering Techniques, by Sander Schulhoff et al.
Summary of Gamebench: Evaluating Strategic Reasoning Abilities Of Llm Agents, by Anthony Costarelli et al.
Summary of Adversarial Tuning: Defending Against Jailbreak Attacks For Llms, by Fan Liu et al.
Summary of Harnessing Ai For Efficient Analysis Of Complex Policy Documents: a Case Study Of Executive Order 14110, by Mark A. Kramer et al.
Summary of Trins: Towards Multimodal Language Models That Can Read, by Ruiyi Zhang et al.
Summary of Discoveryworld: a Virtual Environment For Developing and Evaluating Automated Scientific Discovery Agents, by Peter Jansen et al.
Summary of An Elliptic Kernel Unsupervised Autoencoder-graph Convolutional Network Ensemble Model For Hyperspectral Unmixing, by Estefania Alfaro-mejia et al.
Summary of Evaluating Zero-shot Long-context Llm Compression, by Chenyu Wang and Yihan Wang and Kai Li
Summary of Taxes Are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss, by Kiran Kokilepersaud et al.
Summary of Molx: Enhancing Large Language Models For Molecular Learning with a Multi-modal Extension, by Khiem Le et al.
Summary of Eyeballing Combinatorial Problems: a Case Study Of Using Multimodal Large Language Models to Solve Traveling Salesman Problems, by Mohammed Elhenawy et al.
Summary of What’s in An Embedding? Would a Rose by Any Embedding Smell As Sweet?, By Venkat Venkatasubramanian
Summary of Learning Reward and Policy Jointly From Demonstration and Preference Improves Alignment, by Chenliang Li et al.
Summary of Asyncdiff: Parallelizing Diffusion Models by Asynchronous Denoising, By Zigeng Chen et al.
Summary of A Non-autoregressive Generation Framework For End-to-end Simultaneous Speech-to-speech Translation, by Zhengrui Ma et al.
Summary of Triple-domain Feature Learning with Frequency-aware Memory Enhancement For Moving Infrared Small Target Detection, by Weiwei Duan et al.
Summary of Illuminerf: 3d Relighting Without Inverse Rendering, by Xiaoming Zhao et al.
Summary of Utilizing Graph Generation For Enhanced Domain Adaptive Object Detection, by Mu Wang
Summary of Enhancing Presentation Slide Generation by Llms with a Multi-staged End-to-end Approach, By Sambaran Bandyopadhyay et al.
Summary of Enhancing Text Authenticity: a Novel Hybrid Approach For Ai-generated Text Detection, by Ye Zhang et al.
Summary of Inverse Constitutional Ai: Compressing Preferences Into Principles, by Arduin Findeis et al.
Summary of Achieving Sparse Activation in Small Language Models, by Jifeng Song et al.
Summary of Brainstorming Brings Power to Large Language Models Of Knowledge Reasoning, by Zining Qin et al.
Summary of Skywork-moe: a Deep Dive Into Training Techniques For Mixture-of-experts Language Models, by Tianwen Wei et al.
Summary of Subllm: a Novel Efficient Architecture with Token Sequence Subsampling For Llm, by Quandong Wang et al.
Summary of Towards Transparency: Exploring Llm Trainings Datasets Through Visual Topic Modeling and Semantic Frame, by Charles De Dampierre et al.
Summary of Ask-eda: a Design Assistant Empowered by Llm, Hybrid Rag and Abbreviation De-hallucination, By Luyao Shi et al.
Summary of Graph Neural Network Enhanced Retrieval For Question Answering Of Llms, by Zijian Li et al.
Summary of Rag-based Crowdsourcing Task Decomposition Via Masked Contrastive Learning with Prompts, by Jing Yang et al.
Summary of From Redundancy to Relevance: Information Flow in Lvlms Across Reasoning Tasks, by Xiaofeng Zhang et al.
Summary of Break the Chain: Large Language Models Can Be Shortcut Reasoners, by Mengru Ding et al.
Summary of Evaluating the Efficacy Of Large Language Models in Detecting Fake News: a Comparative Analysis, by Sahas Koka et al.
Summary of Bi-chainer: Automated Large Language Models Reasoning with Bidirectional Chaining, by Shuqi Liu et al.
Summary of Exploring Human-ai Perception Alignment in Sensory Experiences: Do Llms Understand Textile Hand?, by Shu Zhong et al.
Summary of Patenteval: Understanding Errors in Patent Generation, by You Zuo (almanach) et al.
Summary of Are Llms Classical or Nonmonotonic Reasoners? Lessons From Generics, by Alina Leidinger et al.
Summary of Expil: Explanatory Predicate Invention For Learning in Games, by Jingyuan Sha et al.
Summary of Recurrent Context Compression: Efficiently Expanding the Context Window Of Llm, by Chensen Huang et al.
Summary of Enhancing Long-term Memory Using Hierarchical Aggregate Tree For Retrieval Augmented Generation, by Aadharsh Aadhithya a et al.
Summary of Comparing Data Augmentation Methods For End-to-end Task-oriented Dialog Systems, by Christos Vlachos et al.
Summary of Language Models Resist Alignment: Evidence From Data Compression, by Jiaming Ji et al.
Summary of 2dp-2mrc: 2-dimensional Pointer-based Machine Reading Comprehension Method For Multimodal Moment Retrieval, by Jiajun He et al.
Summary of Data Augmentation in Earth Observation: a Diffusion Model Approach, by Tiago Sousa et al.
Summary of Medexqa: Medical Question Answering Benchmark with Multiple Explanations, by Yunsoo Kim et al.
Summary of Neuromoco: a Neuromorphic Momentum Contrast Learning Method For Spiking Neural Networks, by Yuqi Ma and Huamin Wang and Hangchi Shen and Xuemei Chen and Shukai Duan and Shiping Wen
Summary of Massw: a New Dataset and Benchmark Tasks For Ai-assisted Scientific Workflows, by Xingjian Zhang et al.
Summary of Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models, By Marek Wodzinski et al.
Summary of Should We Fine-tune or Rag? Evaluating Different Techniques to Adapt Llms For Dialogue, by Simone Alghisi et al.
Summary of Language Models Are Alignable Decision-makers: Dataset and Application to the Medical Triage Domain, by Brian Hu et al.
Summary of Interpretability Of Language Models Via Task Spaces, by Lucas Weber et al.
Summary of A Large Language Model Pipeline For Breast Cancer Oncology, by Tristen Pool and Dennis Trujillo
Summary of Transforming Wearable Data Into Health Insights Using Large Language Model Agents, by Mike A. Merrill et al.
Summary of Towards a Personal Health Large Language Model, by Justin Cosentino et al.
Summary of Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion For Zero-shot Motion Transfer, by Sigal Raab et al.
Summary of Can Language Models Serve As Text-based World Simulators?, by Ruoyao Wang et al.
Summary of Merlin: a Vision Language Foundation Model For 3d Computed Tomography, by Louis Blankemeier et al.
Summary of Embspatial-bench: Benchmarking Spatial Understanding For Embodied Tasks with Large Vision-language Models, by Mengfei Du et al.
Summary of Global Sensitivity Analysis Of Uncertain Parameters in Bayesian Networks, by Rafael Ballester-ripoll and Manuele Leonelli
Summary of Tlcm: Training-efficient Latent Consistency Model For Image Generation with 2-8 Steps, by Qingsong Xie et al.
Summary of Hidden Holes: Topological Aspects Of Language Models, by Stephen Fitz et al.
Summary of Re-rag: Improving Open-domain Qa Performance and Interpretability with Relevance Estimator in Retrieval-augmented Generation, by Kiseung Kim et al.
Summary of A Review Of Prominent Paradigms For Llm-based Agents: Tool Use (including Rag), Planning, and Feedback Learning, by Xinzhe Li
Summary of Sam-pm: Enhancing Video Camouflaged Object Detection Using Spatio-temporal Attention, by Muhammad Nawfal Meeran et al.
Summary of Multi-stain Multi-level Convolutional Network For Multi-tissue Breast Cancer Image Segmentation, by Akash Modi et al.
Summary of Seventeenth-century Spanish American Notary Records For Fine-tuning Spanish Large Language Models, by Shraboni Sarker et al.
Summary of Solution For Cvpr 2024 Ug2+ Challenge Track on All Weather Semantic Segmentation, by Jun Yu et al.
Summary of Ii-bench: An Image Implication Understanding Benchmark For Multimodal Large Language Models, by Ziqiang Liu et al.
Summary of Procrastination Is All You Need: Exponent Indexed Accumulators For Floating Point, Posits and Logarithmic Numbers, by Vincenzo Liguori
Summary of Ttm-re: Memory-augmented Document-level Relation Extraction, by Chufan Gao et al.
Summary of Bd-sat: High-resolution Land Use Land Cover Dataset & Benchmark Results For Developing Division: Dhaka, Bd, by Ovi Paul et al.
Summary of Hello Again! Llm-powered Personalized Agent For Long-term Dialogue, by Hao Li et al.
Summary of Solution For Smart-101 Challenge Of Cvpr Multi-modal Algorithmic Reasoning Task 2024, by Jinwoo Ahn et al.
Summary of Fleur: An Explainable Reference-free Evaluation Metric For Image Captioning Using a Large Multimodal Model, by Yebin Lee et al.
Summary of Robust Latent Representation Tuning For Image-text Classification, by Hao Sun and Yu Song
Summary of Synthesizing Efficient Data with Diffusion Models For Person Re-identification Pre-training, by Ke Niu et al.
Summary of Processpainter: Learn Painting Process From Sequence Data, by Yiren Song et al.
Summary of M3gia: a Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark, by Wei Song et al.
Summary of Toward Reliable Ad-hoc Scientific Information Extraction: a Case Study on Two Materials Datasets, by Satanu Ghosh et al.
Summary of Mllm-sr: Conversational Symbolic Regression Base Multi-modal Large Language Models, by Yanjie Li et al.
Summary of A Scalable and Near-optimal Conformance Checking Approach For Long Traces, by Eli Bogdanov et al.
Summary of Multi-attribute Auction-based Resource Allocation For Twins Migration in Vehicular Metaverses: a Gpt-based Drl Approach, by Yongju Tong et al.
Summary of Diffusion-based Reinforcement Learning For Dynamic Uav-assisted Vehicle Twins Migration in Vehicular Metaverses, by Yongju Tong et al.
Summary of Design Of Reliable Technology Valuation Model with Calibrated Machine Learning Of Patent Indicators, by Seunghyun Lee et al.
Summary of Towards a Benchmark For Causal Business Process Reasoning with Llms, by Fabiana Fournier et al.