Paper List

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Summary of Where It Really Matters: Few-shot Environmental Conservation Media Monitoring For Low-resource Languages, by Sameer Jain et al.
Summary of The Colorful Future Of Llms: Evaluating and Improving Llms As Emotional Supporters For Queer Youth, by Shir Lissak et al.
Summary of Discerning and Resolving Knowledge Conflicts Through Adaptive Decoding with Contextual Information-entropy Constraint, by Xiaowei Yuan et al.
Summary of Dila: Enhancing Llm Tool Learning with Differential Logic Layer, by Yu Zhang et al.
Summary of Real-world Planning with Pddl+ and Beyond, by Wiktor Piotrowski et al.
Summary of Team Qust at Semeval-2024 Task 8: a Comprehensive Study Of Monolingual and Multilingual Approaches For Detecting Ai-generated Text, by Xiaoman Xu et al.
Summary of Analysis Of Multidomain Abstractive Summarization Using Salience Allocation, by Tohida Rehman et al.
Summary of Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies, by Yifei Chen et al.
Summary of Puzzle Solving Using Reasoning Of Large Language Models: a Survey, by Panagiotis Giadikiaroglou et al.
Summary of Multi-perspective Consistency Enhances Confidence Estimation in Large Language Models, by Pei Wang et al.
Summary of Dissecting Human and Llm Preferences, by Junlong Li et al.
Summary of Learning by Reconstruction Produces Uninformative Features For Perception, By Randall Balestriero et al.
Summary of Offline Training Of Language Model Agents with Functions As Learnable Weights, by Shaokun Zhang et al.
Summary of Reasoning Before Comparison: Llm-enhanced Semantic Similarity Metrics For Domain Specialized Text Analysis, by Shaochen Xu et al.
Summary of Language Models Don’t Learn the Physical Manifestation Of Language, by Bruce W. Lee and Jaehyuk Lim
Summary of An Empirical Evaluation Of Neural and Neuro-symbolic Approaches to Real-time Multimodal Complex Event Detection, by Liying Han et al.
Summary of Data Distribution Distilled Generative Model For Generalized Zero-shot Recognition, by Yijie Wang and Mingjian Hong and Luwen Huangfu and Sheng Huang
Summary of Pride and Prejudice: Llm Amplifies Self-bias in Self-refinement, by Wenda Xu et al.
Summary of Sciagent: Tool-augmented Language Models For Scientific Reasoning, by Yubo Ma et al.
Summary of Fgeo-hypergnet: Geometric Problem Solving Integrating Formal Symbolic System and Hypergraph Neural Network, by Xiaokai Zhang et al.
Summary of Federated Fine-tuning Of Large Language Models Under Heterogeneous Tasks and Client Resources, by Jiamu Bai et al.
Summary of Preact: Prediction Enhances Agent’s Planning Ability, by Dayuan Fu et al.
Summary of Deciphering the Impact Of Pretraining Data on Large Language Models Through Machine Unlearning, by Yang Zhao et al.
Summary of Large Language Models Can Better Understand Knowledge Graphs Than We Thought, by Xinbang Dai et al.
Summary of Question Answering Over Spatio-temporal Knowledge Graph, by Xinbang Dai et al.
Summary of Syntactic Language Change in English and German: Metrics, Parsers, and Convergences, by Yanran Chen et al.
Summary of Longagent: Scaling Language Models to 128k Context Through Multi-agent Collaboration, by Jun Zhao et al.
Summary of Sportsmetrics: Blending Text and Numerical Data to Understand Information Fusion in Llms, by Yebowen Hu et al.
Summary of Fintral: a Family Of Gpt-4 Level Multimodal Financial Large Language Models, by Gagan Bhatia et al.
Summary of Wilke: Wise-layer Knowledge Editor For Lifelong Knowledge Editing, by Chenhui Hu et al.
Summary of “understanding Ai”: Semantic Grounding in Large Language Models, by Holger Lyre
Summary of Asgea: Exploiting Logic Rules From Align-subgraphs For Entity Alignment, by Yangyifei Luo et al.
Summary of Exploring Value Biases: How Llms Deviate Towards the Ideal, by Sarath Sivaprasad et al.
Summary of Persona-db: Efficient Large Language Model Personalization For Response Prediction with Collaborative Data Refinement, by Chenkai Sun et al.
Summary of Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives, by Runcong Zhao et al.
Summary of Large Language Models For Causal Discovery: Current Landscape and Future Directions, by Guangya Wan et al.
Summary of Afacta: Assisting the Annotation Of Factual Claim Detection with Reliable Llm Annotators, by Jingwei Ni et al.
Summary of The Male Ceo and the Female Assistant: Evaluation and Mitigation Of Gender Biases in Text-to-image Generation Of Dual Subjects, by Yixin Wan et al.
Summary of Navigating the Dual Facets: a Comprehensive Evaluation Of Sequential Memory Editing in Large Language Models, by Zihao Lin et al.
Summary of Pedants: Cheap but Effective and Interpretable Answer Equivalence, by Zongxia Li et al.
Summary of Diffpoint: Single and Multi-view Point Cloud Reconstruction with Vit Based Diffusion Model, by Yu Feng et al.
Summary of Toblend: Token-level Blending with An Ensemble Of Llms to Attack Ai-generated Text Detection, by Fan Huang et al.
Summary of Knowtuning: Knowledge-aware Fine-tuning For Large Language Models, by Yougang Lyu et al.
Summary of Laco: Large Language Model Pruning Via Layer Collapse, by Yifei Yang et al.
Summary of I Learn Better If You Speak My Language: Understanding the Superior Performance Of Fine-tuning Large Language Models with Llm-generated Responses, by Xuan Ren and Biao Wu and Lingqiao Liu
Summary of Can Large Language Models Perform Relation-based Argument Mining?, by Deniz Gorur et al.
Summary of Moral: Moe Augmented Lora For Llms’ Lifelong Learning, by Shu Yang et al.
Summary of Strong Hallucinations From Negation and How to Fix Them, by Nicholas Asher and Swarnadeep Bhar
Summary of Insaaf: Incorporating Safety Through Accuracy and Fairness | Are Llms Ready For the Indian Legal Domain?, by Yogesh Tripathi et al.
Summary of Threads Of Subtlety: Detecting Machine-generated Texts Through Discourse Motifs, by Zae Myung Kim and Kwang Hee Lee and Preston Zhu and Vipul Raheja and Dongyeop Kang
Summary of Efficiency at Scale: Investigating the Performance Of Diminutive Language Models in Clinical Tasks, by Niall Taylor et al.
Summary of When “competency” in Reasoning Opens the Door to Vulnerability: Jailbreaking Llms Via Novel Complex Ciphers, by Divij Handa et al.
Summary of Enhancing Role-playing Systems Through Aggressive Queries: Evaluation and Improvement, by Yihong Tang et al.
Summary of `keep It Together’: Enforcing Cohesion in Extractive Summaries by Simulating Human Memory, By Ronald Cardenas and Matthias Galle and Shay B. Cohen
Summary of Can Separators Improve Chain-of-thought Prompting?, by Yoonjeong Park et al.
Summary of Autosat: Automatically Optimize Sat Solvers Via Large Language Models, by Yiwen Sun et al.
Summary of Longheads: Multi-head Attention Is Secretly a Long Context Processor, by Yi Lu et al.
Summary of An Empirical Study on Cross-lingual Vocabulary Adaptation For Efficient Language Model Inference, by Atsuki Yamaguchi et al.
Summary of Biofusionnet: Deep Learning-based Survival Risk Stratification in Er+ Breast Cancer Through Multifeature and Multimodal Data Fusion, by Raktim Kumar Mondol et al.
Summary of Genres: Rethinking Evaluation For Generative Relation Extraction in the Era Of Large Language Models, by Pengcheng Jiang et al.
Summary of Toolsword: Unveiling Safety Issues Of Large Language Models in Tool Learning Across Three Stages, by Junjie Ye et al.
Summary of On Explaining Unfairness: An Overview, by Christos Fragkathoulas et al.
Summary of Inference to the Best Explanation in Large Language Models, by Dhairya Dalal et al.
Summary of Distillation Enhanced Generative Retrieval, by Yongqi Li et al.
Summary of How Reliable Are Automatic Evaluation Methods For Instruction-tuned Llms?, by Ehsan Doostmohammadi et al.
Summary of Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales, By Wenyu Li et al.
Summary of Vatr++: Choose Your Words Wisely For Handwritten Text Generation, by Bram Vanherle et al.
Summary of Paying Attention to Deflections: Mining Pragmatic Nuances For Whataboutism Detection in Online Discourse, by Khiem Phi et al.
Summary of Clifford Group Equivariant Simplicial Message Passing Networks, by Cong Liu et al.
Summary of Mm-point: Multi-view Information-enhanced Multi-modal Self-supervised 3d Point Cloud Understanding, by Hai-tao Yu et al.
Summary of Undial: Self-distillation with Adjusted Logits For Robust Unlearning in Large Language Models, by Yijiang River Dong et al.
Summary of Swissnyf: Tool Grounded Llm Agents For Black Box Setting, by Somnath Sendhil Kumar et al.
Summary of Fine-tuning Large Language Model (llm) Artificial Intelligence Chatbots in Ophthalmology and Llm-based Evaluation Using Gpt-4, by Ting Fang Tan et al.
Summary of Geoeval: Benchmark For Evaluating Llms and Multi-modal Models on Geometry Problem-solving, by Jiaxin Zhang et al.
Summary of Quantized Embedding Vectors For Controllable Diffusion Language Models, by Cheng Kang et al.
Summary of Zero-shot Reasoning: Personalized Content Generation Without the Cold Start Problem, by Davor Hafnar (1) et al.
Summary of Data Engineering For Scaling Language Models to 128k Context, by Yao Fu et al.
Summary of Optimus: Scalable Optimization Modeling with (mi)lp Solvers and Large Language Models, by Ali Ahmaditeshnizi et al.
Summary of A Trembling House Of Cards? Mapping Adversarial Attacks Against Language Agents, by Lingbo Mo et al.
Summary of Experiments with Encoding Structured Data For Neural Networks, by Sujay Nagesh Koujalgi and Jonathan Dodge
Summary of Grounding Language About Belief in a Bayesian Theory-of-mind, by Lance Ying et al.
Summary of Explaining Generative Diffusion Models Via Visual Analysis For Interpretable Decision-making Process, by Ji-hoon Park et al.
Summary of Understanding In-context Learning with a Pelican Soup Framework, by Ting-rui Chiang et al.
Summary of Evaluating and Improving Continual Learning in Spoken Language Understanding, by Muqiao Yang et al.
Summary of Large Language Models As Zero-shot Dialogue State Tracker Through Function Calling, by Zekun Li et al.
Summary of Comparing Hallucination Detection Metrics For Multilingual Generation, by Haoqiang Kang et al.
Summary of Can We Verify Step by Step For Incorrect Answer Detection?, By Xin Xu et al.
Summary of Federated Prompt-based Decision Transformer For Customized Vr Services in Mobile Edge Computing System, by Tailin Zhou et al.
Summary of Agents Need Not Know Their Purpose, by Paulo Garcia
Summary of Grounding Language Model with Chunking-free In-context Retrieval, by Hongjin Qian et al.
Summary of Aligning Crowd Feedback Via Distributional Preference Reward Modeling, by Dexun Li et al.
Summary of Learning Using a Single Forward Pass, by Aditya Somasundaram et al.
Summary of Reinforcement Learning For Solving Stochastic Vehicle Routing Problem with Time Windows, by Zangir Iklassov and Ikboljon Sobirov and Ruben Solozabal and Martin Takac
Summary of Chain-of-planned-behaviour Workflow Elicits Few-shot Mobility Generation in Llms, by Chenyang Shao et al.
Summary of On Computing Plans with Uniform Action Costs, by Alberto Pozanco et al.
Summary of Inadequacies Of Large Language Model Benchmarks in the Era Of Generative Artificial Intelligence, by Timothy R. Mcintosh et al.
Summary of Lester: Rotoscope Animation Through Video Object Segmentation and Tracking, by Ruben Tous
Summary of Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs For Open-ended Question Answering, by Jiaxiang Liu et al.
Summary of A Dataset Of Open-domain Question Answering with Multiple-span Answers, by Zhiyi Luo et al.
Summary of Knowledge-aware Neuron Interpretation For Scene Classification, by Yong Guan et al.