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Every arXiv paper Paperlayer has summarized so far. 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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112,201 to 112,260 of 117,689
How should the advent of large language models affect the practice of science?
Marcel Binz, Stephan Alaniz, Adina Roskies +15
cs.CLcs.AIcs.CYarXiv:2312.03759v12023Exploring Complex Networks through Random Walks
Luciano da Fontoura Costa
physics.soc-phcond-mat.stat-mechphysics.data-anarXiv:physics/0604193v12006Augmenting Generative Adversarial Networks for Speech Emotion Recognition
Siddique Latif, Muhammad Asim, Rajib Rana +3
cs.SDeess.ASarXiv:2005.08447v32020ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure
A. J. Lew, Y. Cao, M. J. Buehler
cs.AIarXiv:2605.30284v12026The iNaturalist Species Classification and Detection Dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song +6
cs.CVarXiv:1707.06642v22017MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models
Vibhor Agarwal, Yiqiao Jin, Mohit Chandra +3
cs.CLcs.AIarXiv:2409.19492v32024Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
Haonan Li, Xudong Han, Zenan Zhai +32
cs.CLarXiv:2412.18551v12024Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
Zonghao Ying, Aishan Liu, Xianglong Liu +1
cs.CRcs.CVarXiv:2406.06302v22024GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
Guangqi Jiang, Haoran Chang, Ri-Zhao Qiu +6
cs.ROcs.AIcs.CVarXiv:2510.20813v12025Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI $-$Should Different Clinical Objectives Mandate Different Loss Functions?
Anindo Saha, Joeran Bosma, Jasper Linmans +2
eess.IVcs.CVarXiv:2110.12889v12021Change of ownership networks in Japan
Wataru Souma, Yoshi Fujiwara, Hideaki Aoyama
physics.soc-pharXiv:physics/0504045v12005Marvel Universe looks almost like a real social network
R. Alberich, J. Miro-Julia, F. Rossello
cond-mat.dis-nncond-mat.stat-mecharXiv:cond-mat/0202174v12002Outward Accessibility in Urban Street Networks: Characterization and Improvements
Bruno Augusto Nassif Travençolo, Luciano da Fontoura Costa
cs.CYarXiv:0802.3665v12008Network statistics on early English Syntax: Structural criteria
Bernat Corominas-Murtra
cs.CLarXiv:0704.3708v22007Hubs in Languages: Scale Free Networks of Synonyms
Hanna E. Makaruk, Robert Owczarek
physics.soc-phcs.CLphysics.data-anarXiv:0802.4112v12008Andrzej Pekalski networks of scientific interests with internal degrees of freedom through self-citation analysis
M. Ausloos, R. Lambiotte, A. Scharnhorst +1
physics.soc-phphysics.hist-pharXiv:0710.1800v12007Synchronization on small-world networks
H. Hong, M. Y. Choi, Beom Jun Kim
cond-mat.dis-nnarXiv:cond-mat/0110359v12001MMPD: Multi-Domain Mobile Video Physiology Dataset
Jiankai Tang, Kequan Chen, Yuntao Wang +4
cs.CVarXiv:2302.03840v22023Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
Yukun Zhao, Lingyong Yan, Weiwei Sun +6
cs.CLcs.AIarXiv:2310.17918v22023SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
Jiaxin Zhang, Zhuohang Li, Kamalika Das +2
cs.CLarXiv:2311.01740v22023FELM: Benchmarking Factuality Evaluation of Large Language Models
Shiqi Chen, Yiran Zhao, Jinghan Zhang +4
cs.CLarXiv:2310.00741v22023Instruction Position Matters in Sequence Generation with Large Language Models
Yijin Liu, Xianfeng Zeng, Fandong Meng +1
cs.CLarXiv:2308.12097v12023Why Does ChatGPT Fall Short in Providing Truthful Answers?
Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
cs.CLcs.AIarXiv:2304.10513v32023Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies
Jonas Andrulis, Ole Meyer, Grégory Schott +2
cs.AIarXiv:2011.06665v12020Governing AI Agents
Noam Kolt
cs.AIarXiv:2501.07913v22025Artificial Intelligent Disobedience: Rethinking the Agency of Our Artificial Teammates
Reuth Mirsky
cs.AIarXiv:2506.22276v12025Intelligent Drone Swarm for Search and Rescue Operations at Sea
Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi +2
cs.CYcs.AIarXiv:1811.05291v12018Deep Fault Analysis and Subset Selection in Solar Power Grids
Biswarup Bhattacharya, Abhishek Sinha
cs.LGcs.AIcs.CEarXiv:1711.02810v12017LightIt: Illumination Modeling and Control for Diffusion Models
Peter Kocsis, Julien Philip, Kalyan Sunkavalli +2
cs.CVcs.GRcs.LGarXiv:2403.10615v22024ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
Jeong-gi Kwak, Erqun Dong, Yuhe Jin +3
cs.CVcs.AIcs.GRarXiv:2312.01305v12023From Rational Answers to Emotional Resonance: The Role of Controllable Emotion Generation in Language Models
Yurui Dong, Luozhijie Jin, Yao Yang +3
cs.CLarXiv:2502.04075v22025Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger +1
cs.CVcs.ROarXiv:2004.14251v12020Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang +4
cs.CVarXiv:2406.09414v22024AgentOps: Enabling Observability of LLM Agents
Liming Dong, Qinghua Lu, Liming Zhu
cs.AIcs.SEarXiv:2411.05285v22024GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
Thomas Paine, Hailin Jin, Jianchao Yang +2
cs.CVcs.DCcs.LGarXiv:1312.6186v12013Fully Convolutional Neural Networks for Crowd Segmentation
Kai Kang, Xiaogang Wang
cs.CVarXiv:1411.4464v12014MacGyver: Are Large Language Models Creative Problem Solvers?
Yufei Tian, Abhilasha Ravichander, Lianhui Qin +6
cs.CLcs.AIarXiv:2311.09682v42023Can LLM be a Personalized Judge?
Yijiang River Dong, Tiancheng Hu, Nigel Collier
cs.CLcs.CYarXiv:2406.11657v12024A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models
Jaylen Jones, Lingbo Mo, Eric Fosler-Lussier +1
cs.CLcs.AIarXiv:2402.11676v22024LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization
Abhishek Kumar, Sonia Haiduc, Partha Pratim Das +1
cs.SEarXiv:2409.00630v12024RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
Haotian Xu, Xing Wu, Weinong Wang +11
cs.LGcs.AIcs.CLarXiv:2501.11284v12025Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel, Alekh Agarwal, Fernando Diaz +2
cs.AIcs.LGstat.MLarXiv:1603.04119v12016Photo-Realistic Facial Details Synthesis from Single Image
Anpei Chen, Zhang Chen, Guli Zhang +3
cs.CVarXiv:1903.10873v52019Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
Gangwoo Kim, Sungdong Kim, Byeongguk Jeon +2
cs.CLarXiv:2310.14696v12023Can ChatGPT be used to generate scientific hypotheses?
Yang Jeong Park, Daniel Kaplan, Zhichu Ren +5
cs.CLarXiv:2304.12208v12023BigCodec: Pushing the Limits of Low-Bitrate Neural Speech Codec
Detai Xin, Xu Tan, Shinnosuke Takamichi +1
eess.AScs.SDarXiv:2409.05377v12024Tree-structured composition in neural networks without tree-structured architectures
Samuel R. Bowman, Christopher D. Manning, Christopher Potts
cs.CLcs.LGarXiv:1506.04834v32015AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale
Yunjie Ji, Xiaoyu Tian, Sitong Zhao +5
cs.CLarXiv:2505.08311v22025Nuclei from QCD : Strategy, Challenges and Status
Martin J. Savage
nucl-tharXiv:nucl-th/0601001v12005Low-momentum effective theory for nucleons
E. Epelbaoum, W. Glöckle, Ulf-G. Meißner
nucl-thhep-pharXiv:nucl-th/9804005v21998Hierarchical Object Detection with Deep Reinforcement Learning
Miriam Bellver, Xavier Giro-i-Nieto, Ferran Marques +1
cs.CVcs.LGarXiv:1611.03718v22016SyncSpeech: Efficient and Low-Latency Text-to-Speech based on Temporal Masked Transformer
Zhengyan Sheng, Zhihao Du, Shiliang Zhang +2
cs.SDcs.AIarXiv:2502.11094v22025Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel +1
cs.LGstat.MLarXiv:2007.13532v22020CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
Weijie Lv, Xuan Xia, Sheng-Jun Huang
cs.CLcs.LGarXiv:2408.02193v12024FaR-GAN for One-Shot Face Reenactment
Hanxiang Hao, Sriram Baireddy, Amy R. Reibman +1
cs.CVarXiv:2005.06402v12020FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt
Zhixiao Qi, Yijiong Yu, Meiqi Tu +2
cs.CLarXiv:2308.10173v12023Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem
Davor Hafnar, Jure Demšar
cs.AIarXiv:2402.10133v22024$\Delta$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization
Rushil Anirudh, Jayaraman J. Thiagarajan
cs.LGcs.CVstat.MLarXiv:2110.02197v12021Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1
cs.NEcs.LGarXiv:1807.07362v12018GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao, Hong Yang, Peng Zhang +2
cs.LGcs.AIstat.MLarXiv:1904.09981v22019