Paper List

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Summary of Siavc: Semi-supervised Framework For Industrial Accident Video Classification, by Zuoyong Li et al.
Summary of Towards Realistic Long-tailed Semi-supervised Learning in An Open World, by Yuanpeng He et al.
Summary of Searchlvlms: a Plug-and-play Framework For Augmenting Large Vision-language Models by Searching Up-to-date Internet Knowledge, By Chuanhao Li et al.
Summary of Exploring Alignment in Shared Cross-lingual Spaces, by Basel Mousi and Nadir Durrani and Fahim Dalvi and Majd Hawasly and Ahmed Abdelali
Summary of Posecrafter: One-shot Personalized Video Synthesis Following Flexible Pose Control, by Yong Zhong et al.
Summary of Concept Visualization: Explaining the Clip Multi-modal Embedding Using Wordnet, by Loris Giulivi et al.
Summary of Explaining Multi-modal Large Language Models by Analyzing Their Vision Perception, By Loris Giulivi et al.
Summary of A Fair and Free Prompt-based Research Assistant, by Mahsa Shamsabadi and Jennifer D’souza
Summary of Efficient Medical Question Answering with Knowledge-augmented Question Generation, by Julien Khlaut et al.
Summary of Citygpt: Towards Urban Iot Learning, Analysis and Interaction with Multi-agent System, by Qinghua Guan et al.
Summary of A Declarative System For Optimizing Ai Workloads, by Chunwei Liu et al.
Summary of Dreamtext: High Fidelity Scene Text Synthesis, by Yibin Wang and Weizhong Zhang and Honghui Xu and Cheng Jin
Summary of Ali-agent: Assessing Llms’ Alignment with Human Values Via Agent-based Evaluation, by Jingnan Zheng et al.
Summary of Real Time Deep Learning Weapon Detection Techniques For Mitigating Lone Wolf Attacks, by Kambhatla Akhila et al.
Summary of Imagery As Inquiry: Exploring a Multimodal Dataset For Conversational Recommendation, by Se-eun Yoon et al.
Summary of Super Tiny Language Models, by Dylan Hillier et al.
Summary of Large Language Models-guided Dynamic Adaptation For Temporal Knowledge Graph Reasoning, by Jiapu Wang et al.
Summary of Human-agent Cooperation in Games Under Incomplete Information Through Natural Language Communication, by Shenghui Chen et al.
Summary of Enhanced Object Tracking by Self-supervised Auxiliary Depth Estimation Learning, By Zhenyu Wei et al.
Summary of Awesome Multi-modal Object Tracking, by Chunhui Zhang et al.
Summary of Boosting Medical Image-based Cancer Detection Via Text-guided Supervision From Reports, by Guangyu Guo et al.
Summary of Let’s Fuse Step by Step: a Generative Fusion Decoding Algorithm with Llms For Multi-modal Text Recognition, By Chan-jan Hsu et al.
Summary of Neurogauss4d-pci: 4d Neural Fields and Gaussian Deformation Fields For Point Cloud Interpolation, by Chaokang Jiang et al.
Summary of Deep Reinforcement Learning For 5*5 Multiplayer Go, by Brahim Driss et al.
Summary of Deepseek-prover: Advancing Theorem Proving in Llms Through Large-scale Synthetic Data, by Huajian Xin et al.
Summary of Jiuzhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models, By Kun Zhou et al.
Summary of Can Large Language Models Create New Knowledge For Spatial Reasoning Tasks?, by Thomas Greatrix et al.
Summary of Stl2vec: Semantic and Interpretable Vector Representation Of Temporal Logic, by Gaia Saveri et al.
Summary of Perception Of Knowledge Boundary For Large Language Models Through Semi-open-ended Question Answering, by Zhihua Wen et al.
Summary of Explainable Few-shot Knowledge Tracing, by Haoxuan Li and Jifan Yu and Yuanxin Ouyang and Zhuang Liu and Wenge Rong and Juanzi Li and Zhang Xiong
Summary of Instruction Tuning with Loss Over Instructions, by Zhengyan Shi et al.
Summary of Large Language Models For Explainable Decisions in Dynamic Digital Twins, by Nan Zhang et al.
Summary of Slaves to the Law Of Large Numbers: An Asymptotic Equipartition Property For Perplexity in Generative Language Models, by Avinash Mudireddy et al.
Summary of Babysit a Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations, By Ziqiao Ma et al.
Summary of Dense Connector For Mllms, by Huanjin Yao et al.
Summary of Semantic Density: Uncertainty Quantification For Large Language Models Through Confidence Measurement in Semantic Space, by Xin Qiu et al.
Summary of Just Rotate It! Uncertainty Estimation in Closed-source Models Via Multiple Queries, by Konstantinos Pitas et al.
Summary of Image-of-thought Prompting For Visual Reasoning Refinement in Multimodal Large Language Models, by Qiji Zhou et al.
Summary of Just Rephrase It! Uncertainty Estimation in Closed-source Language Models Via Multiple Rephrased Queries, by Adam Yang et al.
Summary of Fidelis: Faithful Reasoning in Large Language Model For Knowledge Graph Question Answering, by Yuan Sui et al.
Summary of Topa: Extending Large Language Models For Video Understanding Via Text-only Pre-alignment, by Wei Li et al.
Summary of Vikhr: Constructing a State-of-the-art Bilingual Open-source Instruction-following Large Language Model For Russian, by Aleksandr Nikolich et al.
Summary of Civics: Building a Dataset For Examining Culturally-informed Values in Large Language Models, by Giada Pistilli et al.
Summary of On the Brittle Foundations Of React Prompting For Agentic Large Language Models, by Mudit Verma et al.
Summary of Nondeterministic Causal Models, by Sander Beckers
Summary of Evaluating Large Language Models with Human Feedback: Establishing a Swedish Benchmark, by Birger Moell
Summary of Two Heads Are Better Than One: Neural Networks Quantization with 2d Hilbert Curve-based Output Representation, by Mykhailo Uss et al.
Summary of Your Large Language Models Are Leaving Fingerprints, by Hope Mcgovern and Rickard Stureborg and Yoshi Suhara and Dimitris Alikaniotis
Summary of How Many Bytes Can You Take Out Of Brain-to-text Decoding?, by Richard Antonello et al.
Summary of Learning to Transform Dynamically For Better Adversarial Transferability, by Rongyi Zhu et al.
Summary of Knowledge Localization: Mission Not Accomplished? Enter Query Localization!, by Yuheng Chen et al.
Summary of Aligngpt: Multi-modal Large Language Models with Adaptive Alignment Capability, by Fei Zhao et al.
Summary of Towards Retrieval-augmented Architectures For Image Captioning, by Sara Sarto et al.
Summary of Llms For Mathematical Modeling: Towards Bridging the Gap Between Natural and Mathematical Languages, by Xuhan Huang et al.
Summary of Interpretable Interaction Modeling For Trajectory Prediction Via Agent Selection and Physical Coefficient, by Shiji Huang et al.
Summary of Camvig: Camera Aware Image-to-video Generation with Multimodal Transformers, by Andrew Marmon et al.
Summary of Transfer Learning Approach For Railway Technical Map (rtm) Component Identification, by Obadage Rochana Rumalshan et al.
Summary of How Reliable Ai Chatbots Are For Disease Prediction From Patient Complaints?, by Ayesha Siddika Nipu et al.
Summary of Multiple Realizability and the Rise Of Deep Learning, by Sam Whitman Mcgrath and Jacob Russin
Summary of Goals As Reward-producing Programs, by Guy Davidson et al.
Summary of Traffic Control Using Intelligent Timing Of Traffic Lights with Reinforcement Learning Technique and Real-time Processing Of Surveillance Camera Images, by Mahdi Jamebozorg et al.
Summary of Degap: Dual Event-guided Adaptive Prefixes For Templated-based Event Argument Extraction with Slot Querying, by Guanghui Wang et al.
Summary of “turing Tests” For An Ai Scientist, by Xiaoxin Yin
Summary of Large Language Models (llms) Assisted Wireless Network Deployment in Urban Settings, by Nurullah Sevim et al.
Summary of Collaboration Of Teachers For Semi-supervised Object Detection, by Liyu Chen et al.
Summary of 360zhinao Technical Report, by 360zhinao Team
Summary of Disperse-then-merge: Pushing the Limits Of Instruction Tuning Via Alignment Tax Reduction, by Tingchen Fu et al.
Summary of Class-conditional Self-reward Mechanism For Improved Text-to-image Models, by Safouane El Ghazouali et al.
Summary of Blockchain and Artificial Intelligence: Synergies and Conflicts, by Leon Witt et al.
Summary of Safety Alignment For Vision Language Models, by Zhendong Liu et al.
Summary of Concertorl: An Innovative Time-interleaved Reinforcement Learning Approach For Enhanced Control in Direct-drive Tandem-wing Vehicles, by Minghao Zhang et al.
Summary of Xrag: Extreme Context Compression For Retrieval-augmented Generation with One Token, by Xin Cheng et al.
Summary of Intelligent Tutor: Leveraging Chatgpt and Microsoft Copilot Studio to Deliver a Generative Ai Student Support and Feedback System Within Teams, by Wei-yu Chen
Summary of Duetsim: Building User Simulator with Dual Large Language Models For Task-oriented Dialogues, by Xiang Luo et al.
Summary of Leveraging Human Revisions For Improving Text-to-layout Models, by Amber Xie et al.
Summary of A Survey on Fairness Of Large Language Models in E-commerce: Progress, Application, and Challenge, by Qingyang Ren et al.
Summary of Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models For Healthcare, by P. Barai et al.
Summary of Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features, by Yao Rong et al.
Summary of Autonomous Workflow For Multimodal Fine-grained Training Assistants Towards Mixed Reality, by Jiahuan Pei et al.
Summary of Can Formal Argumentative Reasoning Enhance Llms Performances?, by Federico Castagna et al.
Summary of Enhancing Dialogue State Tracking Models Through Llm-backed User-agents Simulation, by Cheng Niu et al.
Summary of Surgical Feature-space Decomposition Of Llms: Why, When and How?, by Arnav Chavan et al.
Summary of Assessing Political Bias in Large Language Models, by Luca Rettenberger et al.
Summary of Semeval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations, by Fanfan Wang et al.
Summary of Meteora: Multiple-tasks Embedded Lora For Large Language Models, by Jingwei Xu and Junyu Lai and Yunpeng Huang
Summary of Large Language Models For Medicine: a Survey, by Yanxin Zheng et al.
Summary of Rng: Reducing Multi-level Noise and Multi-grained Semantic Gap For Joint Multimodal Aspect-sentiment Analysis, by Yaxin Liu et al.
Summary of A Novel Method For News Article Event-based Embedding, by Koren Ishlach et al.
Summary of The 2nd Futuredial Challenge: Dialog Systems with Retrieval Augmented Generation (futuredial-rag), by Yucheng Cai et al.
Summary of Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning For Diverse Downstream Tasks, by Yichi Zhang et al.
Summary of The Role Of Emotions in Informational Support Question-response Pairs in Online Health Communities: a Multimodal Deep Learning Approach, by Mohsen Jozani and Jason A. Williams and Ahmed Aleroud and Sarbottam Bhagat
Summary of Presentations Are Not Always Linear! Gnn Meets Llm For Document-to-presentation Transformation with Attribution, by Himanshu Maheshwari et al.
Summary of Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models, by Abdurahmman Alzahrani et al.
Summary of Adversarial Dpo: Harnessing Harmful Data For Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents, by San Kim et al.
Summary of An Assessment Of Model-on-model Deception, by Julius Heitkoetter et al.
Summary of Rage Against the Machine: Retrieval-augmented Llm Explanations, by Joel Rorseth et al.
Summary of Large Language Models For Education: a Survey, by Hanyi Xu et al.
Summary of Duetrag: Collaborative Retrieval-augmented Generation, by Dian Jiao et al.
Summary of A Survey on Recent Advances in Conversational Data Generation, by Heydar Soudani et al.
Summary of Mathdivide: Improved Mathematical Reasoning by Large Language Models, By Saksham Sahai Srivastava et al.