Paper List

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Summary of Semirings For Probabilistic and Neuro-symbolic Logic Programming, by Vincent Derkinderen et al.
Summary of Composing Reinforcement Learning Policies, with Formal Guarantees, by Florent Delgrange et al.
Summary of Kuaiji: the First Chinese Accounting Large Language Model, by Jiayuan Luo et al.
Summary of Could We Have Had Better Multilingual Llms If English Was Not the Central Language?, by Ryandito Diandaru et al.
Summary of Synfac-edit: Synthetic Imitation Edit Feedback For Factual Alignment in Clinical Summarization, by Prakamya Mishra et al.
Summary of Large Language Models Are Vulnerable to Bait-and-switch Attacks For Generating Harmful Content, by Federico Bianchi et al.
Summary of The Delusional Hedge Algorithm As a Model Of Human Learning From Diverse Opinions, by Yun-shiuan Chuang et al.
Summary of Videoprism: a Foundational Visual Encoder For Video Understanding, by Long Zhao et al.
Summary of How Do Hyenas Deal with Human Speech? Speech Recognition and Translation with Confhyena, by Marco Gaido et al.
Summary of Agentmd: Empowering Language Agents For Risk Prediction with Large-scale Clinical Tool Learning, by Qiao Jin et al.
Summary of Kgroot: Enhancing Root Cause Analysis Through Knowledge Graphs and Graph Convolutional Neural Networks, by Tingting Wang et al.
Summary of Tofueval: Evaluating Hallucinations Of Llms on Topic-focused Dialogue Summarization, by Liyan Tang et al.
Summary of Spontaneous Theory Of Mind For Artificial Intelligence, by Nikolos Gurney et al.
Summary of Operational Collective Intelligence Of Humans and Machines, by Nikolos Gurney et al.
Summary of Grounding From An Ai and Cognitive Science Lens, by Goonmeet Bajaj et al.
Summary of Aria Everyday Activities Dataset, by Zhaoyang Lv et al.
Summary of Learning and Sustaining Shared Normative Systems Via Bayesian Rule Induction in Markov Games, by Ninell Oldenburg and Tan Zhi-xuan
Summary of Quantitative Causality, Causality-guided Scientific Discovery, and Causal Machine Learning, by X. San Liang et al.
Summary of Reward Bound For Behavioral Guarantee Of Model-based Planning Agents, by Zhiyu An et al.
Summary of A Neuro-symbolic Approach to Multi-agent Rl For Interpretability and Probabilistic Decision Making, by Chitra Subramanian and Miao Liu and Naweed Khan and Jonathan Lenchner and Aporva Amarnath and Sarathkrishna Swaminathan and Ryan Riegel and Alexander Gray
Summary of Refutebench: Evaluating Refuting Instruction-following For Large Language Models, by Jianhao Yan et al.
Summary of Potential and Challenges Of Model Editing For Social Debiasing, by Jianhao Yan et al.
Summary of Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning For Glaucoma Forecasting From Irregular Time Series Images, by Xikai Yang et al.
Summary of Self-dc: When to Reason and When to Act? Self Divide-and-conquer For Compositional Unknown Questions, by Hongru Wang et al.
Summary of Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks, by Canaan Yung et al.
Summary of An Effective Incorporating Heterogeneous Knowledge Curriculum Learning For Sequence Labeling, by Xuemei Tang and Qi Su
Summary of Exploring the Limits Of Semantic Image Compression at Micro-bits Per Pixel, by Jordan Dotzel et al.
Summary of Solar Panel Segmentation :self-supervised Learning Solutions For Imperfect Datasets, by Sankarshanaa Sagaram et al.
Summary of Pip-net: Pedestrian Intention Prediction in the Wild, by Mohsen Azarmi et al.
Summary of Panda: Preference Adaptation For Enhancing Domain-specific Abilities Of Llms, by An Liu et al.
Summary of More-3s:multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces, by Tianyu Zheng et al.
Summary of Convqg: Contrastive Visual Question Generation with Multimodal Guidance, by Li Mi et al.
Summary of Incentive Compatibility For Ai Alignment in Sociotechnical Systems: Positions and Prospects, by Zhaowei Zhang et al.
Summary of The Practice Of Qualitative Parameterisation in the Development Of Bayesian Networks, by Steven Mascaro et al.
Summary of The Impact Of Demonstrations on Multilingual In-context Learning: a Multidimensional Analysis, by Miaoran Zhang et al.
Summary of Can Gnn Be Good Adapter For Llms?, by Xuanwen Huang et al.
Summary of Cfever: a Chinese Fact Extraction and Verification Dataset, by Ying-jia Lin et al.
Summary of Heterogeneous Graph Reasoning For Fact Checking Over Texts and Tables, by Haisong Gong et al.
Summary of Learning to Check: Unleashing Potentials For Self-correction in Large Language Models, by Che Zhang and Zhenyang Xiao and Chengcheng Han and Yixin Lian and Yuejian Fang
Summary of Identifying Semantic Induction Heads to Understand In-context Learning, by Jie Ren et al.
Summary of Random Graph Set and Evidence Pattern Reasoning Model, by Tianxiang Zhan et al.
Summary of Event-level Knowledge Editing, by Hao Peng et al.
Summary of Elad: Explanation-guided Large Language Models Active Distillation, by Yifei Zhang et al.
Summary of Cif-bench: a Chinese Instruction-following Benchmark For Evaluating the Generalizability Of Large Language Models, by Yizhi Li et al.
Summary of Treeeval: Benchmark-free Evaluation Of Large Language Models Through Tree Planning, by Xiang Li et al.
Summary of Cmdag: a Chinese Metaphor Dataset with Annotated Grounds As Cot For Boosting Metaphor Generation, by Yujie Shao et al.
Summary of Benchmarking Retrieval-augmented Generation For Medicine, by Guangzhi Xiong and Qiao Jin and Zhiyong Lu and Aidong Zhang
Summary of Analobench: Benchmarking the Identification Of Abstract and Long-context Analogies, by Xiao Ye et al.
Summary of Evor: Evolving Retrieval For Code Generation, by Hongjin Su et al.
Summary of Shall We Team Up: Exploring Spontaneous Cooperation Of Competing Llm Agents, by Zengqing Wu et al.
Summary of Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection, by Fei Ming and Wenyin Gong and Ling Wang and Yaochu Jin
Summary of Simulacra As Conscious Exotica, by Murray Shanahan
Summary of Langxai: Integrating Large Vision Models For Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks, by Truong Thanh Hung Nguyen et al.
Summary of The Revolution Of Multimodal Large Language Models: a Survey, by Davide Caffagni et al.
Summary of Landmark-based Localization Using Stereo Vision and Deep Learning in Gps-denied Battlefield Environment, by Ganesh Sapkota and Sanjay Madria
Summary of Causalgym: Benchmarking Causal Interpretability Methods on Linguistic Tasks, by Aryaman Arora et al.
Summary of Confidence Matters: Revisiting Intrinsic Self-correction Capabilities Of Large Language Models, by Loka Li et al.
Summary of Efficient Parameter Mining and Freezing For Continual Object Detection, by Angelo G. Menezes et al.
Summary of Patient-centric Knowledge Graphs: a Survey Of Current Methods, Challenges, and Applications, by Hassan S. Al Khatib et al.
Summary of Finben: a Holistic Financial Benchmark For Large Language Models, by Qianqian Xie et al.
Summary of Xrl-bench: a Benchmark For Evaluating and Comparing Explainable Reinforcement Learning Techniques, by Yu Xiong et al.
Summary of Pac-fno: Parallel-structured All-component Fourier Neural Operators For Recognizing Low-quality Images, by Jinsung Jeon et al.
Summary of Cst: Calibration Side-tuning For Parameter and Memory Efficient Transfer Learning, by Feng Chen
Summary of From Cloud to Edge: Rethinking Generative Ai For Low-resource Design Challenges, by Sai Krishna Revanth Vuruma et al.
Summary of Can Large Language Models Be Used to Provide Psychological Counselling? An Analysis Of Gpt-4-generated Responses Using Role-play Dialogues, by Michimasa Inaba et al.
Summary of Me Llama: Foundation Large Language Models For Medical Applications, by Qianqian Xie et al.
Summary of Model Composition For Multimodal Large Language Models, by Chi Chen et al.
Summary of A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions, by Xiaxia Wang et al.
Summary of Acquiring Clean Language Models From Backdoor Poisoned Datasets by Downscaling Frequency Space, By Zongru Wu et al.
Summary of Emobench: Evaluating the Emotional Intelligence Of Large Language Models, by Sahand Sabour et al.
Summary of Hip Network: Historical Information Passing Network For Extrapolation Reasoning on Temporal Knowledge Graph, by Yongquan He and Peng Zhang and Luchen Liu and Qi Liang and Wenyuan Zhang and Chuang Zhang
Summary of Do Large Language Models Understand Logic or Just Mimick Context?, by Junbing Yan et al.
Summary of Towards Explainable Lidar Point Cloud Semantic Segmentation Via Gradient Based Target Localization, by Abhishek Kuriyal et al.
Summary of Groot: Adversarial Testing For Generative Text-to-image Models with Tree-based Semantic Transformation, by Yi Liu et al.
Summary of Is It a Free Lunch For Removing Outliers During Pretraining?, by Baohao Liao et al.
Summary of Irr: Image Review Ranking Framework For Evaluating Vision-language Models, by Kazuki Hayashi et al.
Summary of Sstkg: Simple Spatio-temporal Knowledge Graph For Intepretable and Versatile Dynamic Information Embedding, by Ruiyi Yang et al.
Summary of Your Large Language Model Is Secretly a Fairness Proponent and You Should Prompt It Like One, by Tianlin Li et al.
Summary of Surprising Efficacy Of Fine-tuned Transformers For Fact-checking Over Larger Language Models, by Vinay Setty
Summary of Transformer-based Causal Language Models Perform Clustering, by Xinbo Wu et al.
Summary of Where Is the Answer? Investigating Positional Bias in Language Model Knowledge Extraction, by Kuniaki Saito et al.
Summary of Multifix: An Xai-friendly Feature Inducing Approach to Building Models From Multimodal Data, by Mafalda Malafaia et al.
Summary of Examining Monitoring System: Detecting Abnormal Behavior in Online Examinations, by Dinh An Ngo et al.
Summary of Worldcoder, a Model-based Llm Agent: Building World Models by Writing Code and Interacting with the Environment, By Hao Tang et al.
Summary of Key Ingredients For Effective Zero-shot Cross-lingual Knowledge Transfer in Generative Tasks, by Nadezhda Chirkova et al.
Summary of Adaptive Skeleton Graph Decoding, by Shuowei Jin et al.
Summary of Is Open-source There Yet? a Comparative Study on Commercial and Open-source Llms in Their Ability to Label Chest X-ray Reports, by Felix J. Dorfner et al.
Summary of Sdit: Spiking Diffusion Model with Transformer, by Shu Yang et al.
Summary of Combinatorial Client-master Multiagent Deep Reinforcement Learning For Task Offloading in Mobile Edge Computing, by Tesfay Zemuy Gebrekidan et al.
Summary of Autocorrect For Estonian Texts: Final Report From Project Ektb25, by Agnes Luhtaru et al.
Summary of A Multi-aspect Framework For Counter Narrative Evaluation Using Large Language Models, by Jaylen Jones et al.
Summary of Multicorrupt: a Multi-modal Robustness Dataset and Benchmark Of Lidar-camera Fusion For 3d Object Detection, by Till Beemelmanns et al.
Summary of 3d Point Cloud Compression with Recurrent Neural Network and Image Compression Methods, by Till Beemelmanns et al.
Summary of Allava: Harnessing Gpt4v-synthesized Data For Lite Vision-language Models, by Guiming Hardy Chen et al.
Summary of Gnnavi: Navigating the Information Flow in Large Language Models by Graph Neural Network, By Shuzhou Yuan et al.
Summary of Language Models Are Homer Simpson! Safety Re-alignment Of Fine-tuned Language Models Through Task Arithmetic, by Rishabh Bhardwaj et al.
Summary of Artprompt: Ascii Art-based Jailbreak Attacks Against Aligned Llms, by Fengqing Jiang et al.
Summary of Llm As Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs, by Kai Wang et al.
Summary of Chatgpt Based Data Augmentation For Improved Parameter-efficient Debiasing Of Llms, by Pengrui Han et al.
Summary of Mm-survnet: Deep Learning-based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion, by Raktim Kumar Mondol et al.