Paper List
We recommend you use the search box as this list is very long.
-
Summary of Computational Politeness in Natural Language Processing: a Survey, by Priyanshu Priya et al.
-
Summary of Data Generation Using Large Language Models For Text Classification: An Empirical Case Study, by Yinheng Li et al.
-
Summary of “i Understand Why I Got This Grade”: Automatic Short Answer Grading with Feedback, by Dishank Aggarwal et al.
-
Summary of Wtu-eval: a Whether-or-not Tool Usage Evaluation Benchmark For Large Language Models, by Kangyun Ning et al.
-
Summary of Lightweight Large Language Model For Medication Enquiry: Med-pal, by Kabilan Elangovan et al.
-
Summary of Whispering Experts: Neural Interventions For Toxicity Mitigation in Language Models, by Xavier Suau et al.
-
Summary of Assessing the Effectiveness Of Gpt-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights, by Elphin Tom Joe and Sai Dileep Koneru and Christine J Kirchhoff
-
Summary of Why Does New Knowledge Create Messy Ripple Effects in Llms?, by Jiaxin Qin et al.
-
Summary of Regurgitative Training: the Value Of Real Data in Training Large Language Models, by Jinghui Zhang et al.
-
Summary of Black-box Model Ensembling For Textual and Visual Question Answering Via Information Fusion, by Yuxi Xia et al.
-
Summary of Nutribench: a Dataset For Evaluating Large Language Models on Nutrition Estimation From Meal Descriptions, by Andong Hua et al.
-
Summary of Multimodal Reranking For Knowledge-intensive Visual Question Answering, by Haoyang Wen et al.
-
Summary of Any Target Can Be Offense: Adversarial Example Generation Via Generalized Latent Infection, by Youheng Sun et al.
-
Summary of I2am: Interpreting Image-to-image Latent Diffusion Models Via Bi-attribution Maps, by Junseo Park and Hyeryung Jang
-
Summary of Evaluating Graph-based Explanations For Ai-based Recommender Systems, by Simon Delarue et al.
-
Summary of Navgpt-2: Unleashing Navigational Reasoning Capability For Large Vision-language Models, by Gengze Zhou et al.
-
Summary of Himo: a New Benchmark For Full-body Human Interacting with Multiple Objects, by Xintao Lv et al.
-
Summary of Persllm: a Personified Training Approach For Large Language Models, by Zheni Zeng et al.
-
Summary of Sharif-str at Semeval-2024 Task 1: Transformer As a Regression Model For Fine-grained Scoring Of Textual Semantic Relations, by Seyedeh Fatemeh Ebrahimi et al.
-
Summary of Merlin: Multimodal Embedding Refinement Via Llm-based Iterative Navigation For Text-video Retrieval-rerank Pipeline, by Donghoon Han et al.
-
Summary of Struct-x: Enhancing Large Language Models Reasoning with Structured Data, by Xiaoyu Tan et al.
-
Summary of Towards Collaborative Intelligence: Propagating Intentions and Reasoning For Multi-agent Coordination with Large Language Models, by Xihe Qiu et al.
-
Summary of Embracing Events and Frames with Hierarchical Feature Refinement Network For Object Detection, by Hu Cao et al.
-
Summary of The Fabrication Of Reality and Fantasy: Scene Generation with Llm-assisted Prompt Interpretation, by Yi Yao et al.
-
Summary of Zero-shot Text-guided Infinite Image Synthesis with Llm Guidance, by Soyeong Kwon et al.
-
Summary of Fusion Flow-enhanced Graph Pooling Residual Networks For Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions, by Alam Noor et al.
-
Summary of Transcad: a Hierarchical Transformer For Cad Sequence Inference From Point Clouds, by Elona Dupont et al.
-
Summary of Using Multimodal Foundation Models and Clustering For Improved Style Ambiguity Loss, by James Baker
-
Summary of Llm-based Frameworks For Api Argument Filling in Task-oriented Conversational Systems, by Jisoo Mok et al.
-
Summary of The Great Ai Witch Hunt: Reviewers Perception and (mis)conception Of Generative Ai in Research Writing, by Hilda Hadan et al.
-
Summary of Follow-up Questions Improve Documents Generated by Large Language Models, By Bernadette J Tix
-
Summary of Dim: Dynamic Integration Of Multimodal Entity Linking with Large Language Model, by Shezheng Song et al.
-
Summary of Empirical Evaluation Of Public Hatespeech Datasets, by Sadar Jaf and Basel Barakat
-
Summary of Adaptive Draft-verification For Efficient Large Language Model Decoding, by Xukun Liu et al.
-
Summary of Itertl: An Iterative Framework For Fine-tuning Llms For Rtl Code Generation, by Peiyang Wu et al.
-
Summary of Cmmath: a Chinese Multi-modal Math Skill Evaluation Benchmark For Foundation Models, by Zhong-zhi Li et al.
-
Summary of The Pitfalls Of Publishing in the Age Of Llms: Strange and Surprising Adventures with a High-impact Nlp Journal, by Rakesh M. Verma et al.
-
Summary of Comprehensive Performance Evaluation Of Yolov12, Yolo11, Yolov10, Yolov9 and Yolov8 on Detecting and Counting Fruitlet in Complex Orchard Environments, by Ranjan Sapkota et al.
-
Summary of The Art Of Saying No: Contextual Noncompliance in Language Models, by Faeze Brahman et al.
-
Summary of Ninjallm: Fast, Scalable and Cost-effective Rag Using Amazon Sagemaker and Aws Trainium and Inferentia2, by Tengfei Xue et al.
-
Summary of Relational Representation Distillation, by Nikolaos Giakoumoglou et al.
-
Summary of Goldfinch: High Performance Rwkv/transformer Hybrid with Linear Pre-fill and Extreme Kv-cache Compression, by Daniel Goldstein et al.
-
Summary of Better Rag Using Relevant Information Gain, by Marc Pickett et al.
-
Summary of Llms-in-the-loop Part-1: Expert Small Ai Models For Bio-medical Text Translation, by Bunyamin Keles et al.
-
Summary of Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-poor Language, by Hubert Plisiecki et al.
-
Summary of Interpretability in Action: Exploratory Analysis Of Vpt, a Minecraft Agent, by Karolis Jucys et al.
-
Summary of Beta Sampling Is All You Need: Efficient Image Generation Strategy For Diffusion Models Using Stepwise Spectral Analysis, by Haeil Lee et al.
-
Summary of The Oscars Of Ai Theater: a Survey on Role-playing with Language Models, by Nuo Chen et al.
-
Summary of Aemim: Adversarial Examples Meet Masked Image Modeling, by Wenzhao Xiang et al.
-
Summary of How Personality Traits Influence Negotiation Outcomes? a Simulation Based on Large Language Models, by Yin Jou Huang and Rafik Hadfi
-
Summary of Ada-kv: Optimizing Kv Cache Eviction by Adaptive Budget Allocation For Efficient Llm Inference, By Yuan Feng and Junlin Lv and Yukun Cao and Xike Xie and S. Kevin Zhou
-
Summary of Tgif: Text-guided Inpainting Forgery Dataset, by Hannes Mareen et al.
-
Summary of Probing the Efficacy Of Federated Parameter-efficient Fine-tuning Of Vision Transformers For Medical Image Classification, by Naif Alkhunaizi et al.
-
Summary of Qvd: Post-training Quantization For Video Diffusion Models, by Shilong Tian et al.
-
Summary of Ccoe: a Compact and Efficient Llm Framework with Multi-expert Collaboration For Resource-limited Settings, by Shaomang Huang et al.
-
Summary of Vectoring Languages, by Joseph Chen
-
Summary of Switchcit: Switching For Continual Instruction Tuning, by Xinbo Wu et al.
-
Summary of Sharif-mgtd at Semeval-2024 Task 8: a Transformer-based Approach to Detect Machine Generated Text, by Seyedeh Fatemeh Ebrahimi et al.
-
Summary of Click-gaussian: Interactive Segmentation to Any 3d Gaussians, by Seokhun Choi et al.
-
Summary of Large Language Models As Misleading Assistants in Conversation, by Betty Li Hou et al.
-
Summary of Stepping Stones: a Progressive Training Strategy For Audio-visual Semantic Segmentation, by Juncheng Ma et al.
-
Summary of Discriminative and Consistent Representation Distillation, by Nikolaos Giakoumoglou et al.
-
Summary of Approximating Probabilistic Inference in Statistical El with Knowledge Graph Embeddings, by Yuqicheng Zhu et al.
-
Summary of Gpt Assisted Annotation Of Rhetorical and Linguistic Features For Interpretable Propaganda Technique Detection in News Text, by Kyle Hamilton et al.
-
Summary of Preemptive Detection and Correction Of Misaligned Actions in Llm Agents, by Haishuo Fang et al.
-
Summary of What’s Wrong? Refining Meeting Summaries with Llm Feedback, by Frederic Kirstein and Terry Ruas and Bela Gipp
-
Summary of Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation, by Congbo Ma et al.
-
Summary of Figuring Out Figures: Using Textual References to Caption Scientific Figures, by Stanley Cao and Kevin Liu
-
Summary of Panacea: a Foundation Model For Clinical Trial Search, Summarization, Design, and Recruitment, by Jiacheng Lin et al.
-
Summary of Geode: a Zero-shot Geospatial Question-answering Agent with Explicit Reasoning and Precise Spatio-temporal Retrieval, by Devashish Vikas Gupta et al.
-
Summary of Does Chatgpt Have a Mind?, by Simon Goldstein and Benjamin A. Levinstein
-
Summary of A Mathematical Framework Of Intelligence and Consciousness Based on Riemannian Geometry, by Meng Lu
-
Summary of Ihuman: Instant Animatable Digital Humans From Monocular Videos, by Pramish Paudel et al.
-
Summary of Hybrid-generative Diffusion Models For Attack-oriented Twin Migration in Vehicular Metaverses, by Yingkai Kang et al.
-
Summary of Empowering Persian Llms For Instruction Following: a Novel Dataset and Training Approach, by Hojjat Mokhtarabadi et al.
-
Summary of Automated Essay Scoring in Arabic: a Dataset and Analysis Of a Bert-based System, by Rayed Ghazawi et al.
-
Summary of Making New Connections: Llms As Puzzle Generators For the New York Times’ Connections Word Game, by Tim Merino et al.
-
Summary of Large Vision-language Models As Emotion Recognizers in Context Awareness, by Yuxuan Lei et al.
-
Summary of Comet: “cone Of Experience” Enhanced Large Multimodal Model For Mathematical Problem Generation, by Sannyuya Liu et al.
-
Summary of Thorns and Algorithms: Navigating Generative Ai Challenges Inspired by Giraffes and Acacias, By Waqar Hussain
-
Summary of Reliable Reasoning Beyond Natural Language, by Nasim Borazjanizadeh et al.
-
Summary of Segment, Lift and Fit: Automatic 3d Shape Labeling From 2d Prompts, by Jianhao Li et al.
-
Summary of Tm-pathvqa:90000+ Textless Multilingual Questions For Medical Visual Question Answering, by Tonmoy Rajkhowa et al.
-
Summary of Earn Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders, by Lin Luo et al.
-
Summary of Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-defined Highlights, by Shunqi Mao et al.
-
Summary of Fine-tuning Medical Language Models For Enhanced Long-contextual Understanding and Domain Expertise, by Qimin Yang et al.
-
Summary of Aligning Neuronal Coding Of Dynamic Visual Scenes with Foundation Vision Models, by Rining Wu et al.
-
Summary of Accdiffusion: An Accurate Method For Higher-resolution Image Generation, by Zhihang Lin et al.
-
Summary of Graphusion: Leveraging Large Language Models For Scientific Knowledge Graph Fusion and Construction in Nlp Education, by Rui Yang et al.
-
Summary of Think-on-graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation, by Shengjie Ma et al.
-
Summary of Enabling Mcts Explainability For Sequential Planning Through Computation Tree Logic, by Ziyan An et al.
-
Summary of Biasscanner: Automatic Detection and Classification Of News Bias to Strengthen Democracy, by Tim Menzner and Jochen L. Leidner
-
Summary of An Actionable Framework For Assessing Bias and Fairness in Large Language Model Use Cases, by Dylan Bouchard
-
Summary of Weighted Grouped Query Attention in Transformers, by Sai Sena Chinnakonduru et al.