Artificial Intelligence
Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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9,361 to 9,420 of 15,247
Multi-shot ASP solving with clingo
Martin Gebser, Roland Kaminski, Benjamin Kaufmann +1
cs.AIarXiv:1705.09811v22017Zero-Cost Proxies for Lightweight NAS
Mohamed S. Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak +1
cs.LGcs.AIcs.NEarXiv:2101.08134v22021GFlowNet Foundations
Yoshua Bengio, Salem Lahlou, Tristan Deleu +3
cs.LGcs.AIstat.MLarXiv:2111.09266v52021Optimal Solutions for Sparse Principal Component Analysis
Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui
cs.AIcs.LGarXiv:0707.0705v42007Human Preference Score: Better Aligning Text-to-Image Models with Human Preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu +2
cs.CVcs.AIarXiv:2303.14420v22023Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao, Jiazhi Yang, Li Chen +5
cs.CVcs.AIarXiv:2405.17398v52024From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting
Karttikeya Mangalam, Yang An, Harshayu Girase +1
cs.CVcs.AIcs.ROarXiv:2012.01526v12020Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün +17
cs.CVcs.AIarXiv:1702.05970v22017Unleashing the potential of prompt engineering for large language models
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené +1
cs.CLcs.AIarXiv:2310.14735v62023When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen, Zheng Liu, Xu Huang +9
cs.IRcs.AIcs.CLarXiv:2307.16376v12023CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
Aditya Sanghi, Hang Chu, Joseph G. Lambourne +4
cs.CVcs.AIarXiv:2110.02624v22021Can large language models provide useful feedback on research papers? A large-scale empirical analysis
Weixin Liang, Yuhui Zhang, Hancheng Cao +9
cs.LGcs.AIcs.CLarXiv:2310.01783v12023ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
Wei Ping, Kainan Peng, Jitong Chen
cs.CLcs.AIcs.LGarXiv:1807.07281v32018Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Viorica Pătrăucean, Lucas Smaira, Ankush Gupta +21
cs.CVcs.AIcs.LGarXiv:2305.13786v22023Traversing Knowledge Graphs in Vector Space
Kelvin Guu, John Miller, Percy Liang
cs.CLcs.AIcs.DBarXiv:1506.01094v22015Taxonomy of Real Faults in Deep Learning Systems
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota +3
cs.SEcs.AIcs.LGarXiv:1910.11015v32019MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection
Chengbo Dong, Xinru Chen, Ruohan Hu +2
cs.CVcs.AIarXiv:2112.08935v32021Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson
cs.HCcs.AIcs.DBarXiv:2204.01075v12022Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Jiasen Lu, Christopher Clark, Sangho Lee +5
cs.CVcs.AIcs.CLarXiv:2312.17172v12023The Shapley Value in Machine Learning
Benedek Rozemberczki, Lauren Watson, Péter Bayer +4
cs.LGcs.AIcs.GTarXiv:2202.05594v22022Survey on Evaluation Methods for Dialogue Systems
Jan Deriu, Alvaro Rodrigo, Arantxa Otegi +4
cs.CLcs.AIcs.HCarXiv:1905.04071v22019Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik, Zhenyi Tang, Shuijing Liu +2
cs.LGcs.AIcs.ROarXiv:1712.03632v12017ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2309.13007v32023Visual Spatial Reasoning
Fangyu Liu, Guy Emerson, Nigel Collier
cs.CLcs.AIcs.CVarXiv:2205.00363v32022AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian +11
cs.LGcs.AIcs.CLarXiv:2410.09024v32024Multi-Label Learning with Global and Local Label Correlation
Yue Zhu, James T. Kwok, Zhi-Hua Zhou
cs.LGcs.AIarXiv:1704.01415v12017Agent-based computing from multi-agent systems to agent-based Models: a visual survey
Muaz A. Niazi, Amir Hussain
cs.SIcs.AIcs.DLarXiv:1708.05872v12017Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen +3
cs.CLcs.AIcs.IRarXiv:2210.02627v12022Towards Accurate Differential Diagnosis with Large Language Models
Daniel McDuff, Mike Schaekermann, Tao Tu +25
cs.CYcs.AIarXiv:2312.00164v12023ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
Jon Saad-Falcon, Omar Khattab, Christopher Potts +1
cs.CLcs.AIcs.IRarXiv:2311.09476v22023Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
cs.LGcs.AIstat.MLarXiv:1801.04016v12018Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
Songyang Zhang, Zeming Li, Shipeng Yan +2
cs.CVcs.AIcs.LGarXiv:2103.16370v12021Specializing Smaller Language Models towards Multi-Step Reasoning
Yao Fu, Hao Peng, Litu Ou +2
cs.CLcs.AIcs.LGarXiv:2301.12726v12023The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Alexander Pan, Kush Bhatia, Jacob Steinhardt
cs.LGcs.AIstat.MLarXiv:2201.03544v22022Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
Zhaofeng Wu, Linlu Qiu, Alexis Ross +6
cs.CLcs.AIarXiv:2307.02477v32023SQA3D: Situated Question Answering in 3D Scenes
Xiaojian Ma, Silong Yong, Zilong Zheng +4
cs.CVcs.AIcs.CLarXiv:2210.07474v52022Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
cs.LGcs.AIcs.CLarXiv:2310.02207v32023Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann +4
cs.LGcs.AIstat.MLarXiv:1909.10893v62019Transformer Quality in Linear Time
Weizhe Hua, Zihang Dai, Hanxiao Liu +1
cs.LGcs.AIcs.CLarXiv:2202.10447v22022FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Ruijun Xu
cs.LGcs.AIcs.CVarXiv:1907.01845v52019Trained Transformers Learn Linear Models In-Context
Ruiqi Zhang, Spencer Frei, Peter L. Bartlett
stat.MLcs.AIcs.CLarXiv:2306.09927v32023NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion
Chenfei Wu, Jian Liang, Lei Ji +4
cs.CVcs.AIarXiv:2111.12417v12021AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey Ignatov, Radu Timofte, William Chou +4
cs.AIcs.CVarXiv:1810.01109v22018Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin
cs.LGcs.AIarXiv:2101.10318v22021Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya, Francesca Toni
cs.CLcs.AIarXiv:2010.09926v12020Regularization for Deep Learning: A Taxonomy
Jan Kukačka, Vladimir Golkov, Daniel Cremers
cs.LGcs.AIcs.CVarXiv:1710.10686v12017Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Long Chen, Oleg Sinavski, Jan Hünermann +5
cs.ROcs.AIcs.CLarXiv:2310.01957v22023InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu, Pan Zhou, Shuicheng Yan +1
cs.CVcs.AIcs.LGarXiv:2303.16900v32023Low-Resource Languages Jailbreak GPT-4
Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach
cs.CLcs.AIcs.CRarXiv:2310.02446v22023Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
Frederik Ebert, Yanlai Yang, Karl Schmeckpeper +5
cs.ROcs.AIarXiv:2109.13396v12021Extreme Parkour with Legged Robots
Xuxin Cheng, Kexin Shi, Ananye Agarwal +1
cs.ROcs.AIcs.CVarXiv:2309.14341v12023PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning
Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
cs.AIcs.ROarXiv:1802.08705v520183D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
cs.ROcs.AIcs.CVarXiv:2402.10885v32024Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie, Kai Zhang, Jiangjie Chen +2
cs.CLcs.AIarXiv:2305.13300v42023Empowering Biomedical Discovery with AI Agents
Shanghua Gao, Ada Fang, Yepeng Huang +6
cs.AIarXiv:2404.02831v22024Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram, Nahum Shimkin
cs.AIcs.LGstat.MLarXiv:1611.01929v42016Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen +5
cs.CLcs.AIarXiv:2308.11995v12023Provably Efficient Maximum Entropy Exploration
Elad Hazan, Sham M. Kakade, Karan Singh +1
cs.LGcs.AIstat.MLarXiv:1812.02690v22018Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction
Fan Jin, Ke Zhang, Yipan Huang +2
cs.LGcs.AIarXiv:2203.00971v12022An Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading
Balint Antal, Andras Hajdu
cs.CVcs.AIstat.AParXiv:1410.8577v12014