Paper List
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Summary of Life, Uh, Finds a Way: Systematic Neural Search, by Alex Baranski et al.
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Summary of Theoretical Lower Bounds For the Oven Scheduling Problem, by Francesca Da Ros and Marie-louise Lackner and Nysret Musliu
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Summary of Pcqpr: Proactive Conversational Question Planning with Reflection, by Shasha Guo et al.
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Summary of Knowledge Entropy Decay During Language Model Pretraining Hinders New Knowledge Acquisition, by Jiyeon Kim et al.
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Summary of Improving Fuzzy Rule Classifier with Brain Storm Optimization and Rule Modification, by Yan Huang et al.
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Summary of Agent-driven Large Language Models For Mandarin Lyric Generation, by Hong-hsiang Liu et al.
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Summary of Instatrans: An Instruction-aware Translation Framework For Non-english Instruction Datasets, by Yungi Kim et al.
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Summary of Seeing Eye to Ai: Human Alignment Via Gaze-based Response Rewards For Large Language Models, by Angela Lopez-cardona and Carlos Segura and Alexandros Karatzoglou and Sergi Abadal and Ioannis Arapakis
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Summary of Medqa-cs: Benchmarking Large Language Models Clinical Skills Using An Ai-sce Framework, by Zonghai Yao et al.
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Summary of Spoken Grammar Assessment Using Llm, by Sunil Kumar Kopparapu and Chitralekha Bhat and Ashish Panda
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Summary of Knobgen: Controlling the Sophistication Of Artwork in Sketch-based Diffusion Models, by Pouyan Navard et al.
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Summary of Data Extrapolation For Text-to-image Generation on Small Datasets, by Senmao Ye et al.
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Summary of Efficient Length-generalizable Attention Via Causal Retrieval For Long-context Language Modeling, by Xiang Hu et al.
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Summary of Finding Path and Cycle Counting Formulae in Graphs with Deep Reinforcement Learning, by Jason Piquenot et al.
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Summary of Multimodal Auto Validation For Self-refinement in Web Agents, by Ruhana Azam and Tamer Abuelsaad and Aditya Vempaty and Ashish Jagmohan
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Summary of Mining Your Own Secrets: Diffusion Classifier Scores For Continual Personalization Of Text-to-image Diffusion Models, by Saurav Jha et al.
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Summary of Ltlf Synthesis on First-order Agent Programs in Nondeterministic Environments, by Till Hofmann et al.
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Summary of Babelbench: An Omni Benchmark For Code-driven Analysis Of Multimodal and Multistructured Data, by Xuwu Wang et al.
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Summary of Wignet: Windowed Vision Graph Neural Network, by Gabriele Spadaro and Marco Grangetto and Attilio Fiandrotti and Enzo Tartaglione and Jhony H. Giraldo
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Summary of Map: Unleashing Hybrid Mamba-transformer Vision Backbone’s Potential with Masked Autoregressive Pretraining, by Yunze Liu et al.
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Summary of Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation, by Shuting Zhao et al.
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Summary of Can Visual Language Models Resolve Textual Ambiguity with Visual Cues? Let Visual Puns Tell You!, by Jiwan Chung et al.
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Summary of Mosel: 950,000 Hours Of Speech Data For Open-source Speech Foundation Model Training on Eu Languages, by Marco Gaido et al.
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Summary of Rationalyst: Pre-training Process-supervision For Improving Reasoning, by Dongwei Jiang et al.
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Summary of Truth or Deceit? a Bayesian Decoding Game Enhances Consistency and Reliability, by Weitong Zhang et al.
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Summary of From Natural Language to Sql: Review Of Llm-based Text-to-sql Systems, by Ali Mohammadjafari et al.
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Summary of Approximately Aligned Decoding, by Daniel Melcer et al.
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Summary of Generative Ai Application For Building Industry, by Hanlong Wan et al.
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Summary of Mixing It Up: the Cocktail Effect Of Multi-task Fine-tuning on Llm Performance — a Case Study in Finance, by Meni Brief et al.
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Summary of Learning to Build by Building Your Own Instructions, By Aaron Walsman et al.
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Summary of Evaluating Deduplication Techniques For Economic Research Paper Titles with a Focus on Semantic Similarity Using Nlp and Llms, by Doohee You et al.
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Summary of Towards Inference-time Category-wise Safety Steering For Large Language Models, by Amrita Bhattacharjee et al.
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Summary of Generative Diffusion-based Contract Design For Efficient Ai Twins Migration in Vehicular Embodied Ai Networks, by Yue Zhong et al.
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Summary of Polyp-ses: Automatic Polyp Segmentation with Self-enriched Semantic Model, by Quang Vinh Nguyen et al.
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Summary of Probing Mechanical Reasoning in Large Vision Language Models, by Haoran Sun et al.
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Summary of Emoknob: Enhance Voice Cloning with Fine-grained Emotion Control, by Haozhe Chen et al.
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Summary of Vision Language Models See What You Want but Not What You See, by Qingying Gao et al.
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Summary of Vision Language Models Know Law Of Conservation Without Understanding More-or-less, by Dezhi Luo et al.
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Summary of Preserving Generalization Of Language Models in Few-shot Continual Relation Extraction, by Quyen Tran et al.
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Summary of Efficient Training Of Large Vision Models Via Advanced Automated Progressive Learning, by Changlin Li et al.
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Summary of Self-controller: Controlling Llms with Multi-round Step-by-step Self-awareness, by Xiao Peng et al.
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Summary of Boosting the Capabilities Of Compact Models in Low-data Contexts with Large Language Models and Retrieval-augmented Generation, by Bhargav Shandilya and Alexis Palmer
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Summary of Fedpt: Federated Proxy-tuning Of Large Language Models on Resource-constrained Edge Devices, by Zhidong Gao et al.
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Summary of Tikguard: a Deep Learning Transformer-based Solution For Detecting Unsuitable Tiktok Content For Kids, by Mazen Balat et al.
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Summary of Dynamic Planning For Llm-based Graphical User Interface Automation, by Shaoqing Zhang et al.
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Summary of Rexplain: Translating Radiology Into Patient-friendly Video Reports, by Luyang Luo et al.
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Summary of Flipguard: Defending Preference Alignment Against Update Regression with Constrained Optimization, by Mingye Zhu et al.
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Summary of Drone Stereo Vision For Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and Yolo Integration, by Yida Lin et al.
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Summary of Exploring the Learning Capabilities Of Language Models Using Leverworlds, by Eitan Wagner et al.
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Summary of Cross-lingual Back-parsing: Utterance Synthesis From Meaning Representation For Zero-resource Semantic Parsing, by Deokhyung Kang et al.
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Summary of Amr-evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation For Large Language Models in Code Generation, by Ziyang Luo et al.
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Summary of Gera: Geometric Embedding For Efficient Point Registration Analysis, by Geng Li et al.
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Summary of Efficient Technical Term Translation: a Knowledge Distillation Approach For Parenthetical Terminology Translation, by Jiyoon Myung et al.
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Summary of Learning to Ground Existentially Quantified Goals, by Martin Funkquist et al.
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Summary of Beyond Prompts: Dynamic Conversational Benchmarking Of Large Language Models, by David Castillo-bolado et al.
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Summary of Inferring Preferences From Demonstrations in Multi-objective Reinforcement Learning, by Junlin Lu et al.
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Summary of Probabilistic Answer Set Programming with Discrete and Continuous Random Variables, by Damiano Azzolini and Fabrizio Riguzzi
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Summary of Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models, by Yizhou Huang et al.
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Summary of Om4ov: Leveraging Ontology Matching For Ontology Versioning, by Zhangcheng Qiang et al.
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Summary of World to Code: Multi-modal Data Generation Via Self-instructed Compositional Captioning and Filtering, by Jiacong Wang et al.
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Summary of A Weakly Supervised Data Labeling Framework For Machine Lexical Normalization in Vietnamese Social Media, by Dung Ha Nguyen et al.
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Summary of Word Sense Disambiguation in Native Spanish: a Comprehensive Lexical Evaluation Resource, by Pablo Ortega et al.
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Summary of Maia-2: a Unified Model For Human-ai Alignment in Chess, by Zhenwei Tang et al.
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Summary of The Phenomenology Of Machine: a Comprehensive Analysis Of the Sentience Of the Openai-o1 Model Integrating Functionalism, Consciousness Theories, Active Inference, and Ai Architectures, by Victoria Violet Hoyle
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Summary of Ace: All-round Creator and Editor Following Instructions Via Diffusion Transformer, by Zhen Han et al.
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Summary of Semantic-driven Topic Modeling Using Transformer-based Embeddings and Clustering Algorithms, by Melkamu Abay Mersha et al.
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Summary of Adapting Llms For the Medical Domain in Portuguese: a Study on Fine-tuning and Model Evaluation, by Pedro Henrique Paiola et al.
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Summary of Robin3d: Improving 3d Large Language Model Via Robust Instruction Tuning, by Weitai Kang et al.
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Summary of Zero-shot Classification Of Crisis Tweets Using Instruction-finetuned Large Language Models, by Emma Mcdaniel et al.
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Summary of Possible Principles For Aligned Structure Learning Agents, by Lancelot Da Costa et al.
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Summary of Procedure-aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation, by Kun Yuan et al.
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Summary of Kpca-cam: Visual Explainability Of Deep Computer Vision Models Using Kernel Pca, by Sachin Karmani et al.
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Summary of On Large Uni- and Multi-modal Models For Unsupervised Classification Of Social Media Images: Nature’s Contribution to People As a Case Study, by Rohaifa Khaldi et al.
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Summary of Can Large Language Models Analyze Graphs Like Professionals? a Benchmark, Datasets and Models, by Xin Sky Li et al.
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Summary of Local Search For Integer Quadratic Programming, by Xiang He et al.
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Summary of See Detail Say Clear: Towards Brain Ct Report Generation Via Pathological Clue-driven Representation Learning, by Chengxin Zheng et al.
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Summary of Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology, by Son Quoc Tran et al.
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Summary of Analysis on Riemann Hypothesis with Cross Entropy Optimization and Reasoning, by Kevin Li et al.
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Summary of Unisumeval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation For Llms, by Yuho Lee and Taewon Yun and Jason Cai and Hang Su and Hwanjun Song
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Summary of Contrastive Token Learning with Similarity Decay For Repetition Suppression in Machine Translation, by Huangyu Dai et al.
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Summary of Law Of the Weakest Link: Cross Capabilities Of Large Language Models, by Ming Zhong et al.
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Summary of Domain Consistency Representation Learning For Lifelong Person Re-identification, by Shiben Liu et al.
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Summary of Do Influence Functions Work on Large Language Models?, by Zhe Li et al.
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Summary of Towards Robust Multimodal Sentiment Analysis with Incomplete Data, by Haoyu Zhang et al.
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Summary of Contests: a Framework For Consistency Testing Of Span Probabilities in Language Models, by Eitan Wagner et al.
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Summary of Beyond Scores: a Modular Rag-based System For Automatic Short Answer Scoring with Feedback, by Menna Fateen et al.
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Summary of Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models, by Frank Wawrzik et al.
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Summary of Aggressive Post-training Compression on Extremely Large Language Models, by Zining Zhang et al.
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Summary of Classification Of Radiological Text in Small and Imbalanced Datasets in a Non-english Language, by Vincent Beliveau et al.
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Summary of 1 Trillion Token (1tt) Platform: a Novel Framework For Efficient Data Sharing and Compensation in Large Language Models, by Chanjun Park et al.
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Summary of Memsim: a Bayesian Simulator For Evaluating Memory Of Llm-based Personal Assistants, by Zeyu Zhang et al.
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Summary of Bridging the Gap in Hybrid Decision-making Systems, by Federico Mazzoni et al.
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Summary of 1st Place Solution Of Multiview Egocentric Hand Tracking Challenge Eccv2024, by Minqiang Zou et al.
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Summary of Insightbuddy-ai: Medication Extraction and Entity Linking Using Large Language Models and Ensemble Learning, by Pablo Romero and Lifeng Han and Goran Nenadic
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Summary of Conditional Image Synthesis with Diffusion Models: a Survey, by Zheyuan Zhan et al.
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Summary of Medhalu: Hallucinations in Responses to Healthcare Queries by Large Language Models, By Vibhor Agarwal et al.