Every paper with a summary

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

  1. How should the advent of large language models affect the practice of science?

    Marcel Binz, Stephan Alaniz, Adina Roskies +15

    cs.CLcs.AIcs.CYarXiv:2312.03759v12023
  2. Exploring Complex Networks through Random Walks

    Luciano da Fontoura Costa

    physics.soc-phcond-mat.stat-mechphysics.data-anarXiv:physics/0604193v12006
  3. Augmenting Generative Adversarial Networks for Speech Emotion Recognition

    Siddique Latif, Muhammad Asim, Rajib Rana +3

    cs.SDeess.ASarXiv:2005.08447v32020
  4. ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure

    A. J. Lew, Y. Cao, M. J. Buehler

    cs.AIarXiv:2605.30284v12026
  5. The iNaturalist Species Classification and Detection Dataset

    Grant Van Horn, Oisin Mac Aodha, Yang Song +6

    cs.CVarXiv:1707.06642v22017
  6. MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models

    Vibhor Agarwal, Yiqiao Jin, Mohit Chandra +3

    cs.CLcs.AIarXiv:2409.19492v32024
  7. Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability

    Haonan Li, Xudong Han, Zenan Zhai +32

    cs.CLarXiv:2412.18551v12024
  8. Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks

    Zonghao Ying, Aishan Liu, Xianglong Liu +1

    cs.CRcs.CVarXiv:2406.06302v22024
  9. GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation

    Guangqi Jiang, Haoran Chang, Ri-Zhao Qiu +6

    cs.ROcs.AIcs.CVarXiv:2510.20813v12025
  10. Anatomical 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:2110.12889v12021
  11. Change of ownership networks in Japan

    Wataru Souma, Yoshi Fujiwara, Hideaki Aoyama

    physics.soc-pharXiv:physics/0504045v12005
  12. Marvel Universe looks almost like a real social network

    R. Alberich, J. Miro-Julia, F. Rossello

    cond-mat.dis-nncond-mat.stat-mecharXiv:cond-mat/0202174v12002
  13. Outward Accessibility in Urban Street Networks: Characterization and Improvements

    Bruno Augusto Nassif Travençolo, Luciano da Fontoura Costa

    cs.CYarXiv:0802.3665v12008
  14. Network statistics on early English Syntax: Structural criteria

    Bernat Corominas-Murtra

    cs.CLarXiv:0704.3708v22007
  15. Hubs in Languages: Scale Free Networks of Synonyms

    Hanna E. Makaruk, Robert Owczarek

    physics.soc-phcs.CLphysics.data-anarXiv:0802.4112v12008
  16. Andrzej 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:0710.1800v12007
  17. Synchronization on small-world networks

    H. Hong, M. Y. Choi, Beom Jun Kim

    cond-mat.dis-nnarXiv:cond-mat/0110359v12001
  18. MMPD: Multi-Domain Mobile Video Physiology Dataset

    Jiankai Tang, Kequan Chen, Yuntao Wang +4

    cs.CVarXiv:2302.03840v22023
  19. Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method

    Yukun Zhao, Lingyong Yan, Weiwei Sun +6

    cs.CLcs.AIarXiv:2310.17918v22023
  20. SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

    Jiaxin Zhang, Zhuohang Li, Kamalika Das +2

    cs.CLarXiv:2311.01740v22023
  21. FELM: Benchmarking Factuality Evaluation of Large Language Models

    Shiqi Chen, Yiran Zhao, Jinghan Zhang +4

    cs.CLarXiv:2310.00741v22023
  22. Instruction Position Matters in Sequence Generation with Large Language Models

    Yijin Liu, Xianfeng Zeng, Fandong Meng +1

    cs.CLarXiv:2308.12097v12023
  23. Why Does ChatGPT Fall Short in Providing Truthful Answers?

    Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang

    cs.CLcs.AIarXiv:2304.10513v32023
  24. Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies

    Jonas Andrulis, Ole Meyer, Grégory Schott +2

    cs.AIarXiv:2011.06665v12020
  25. Governing AI Agents

    Noam Kolt

    cs.AIarXiv:2501.07913v22025
  26. Artificial Intelligent Disobedience: Rethinking the Agency of Our Artificial Teammates

    Reuth Mirsky

    cs.AIarXiv:2506.22276v12025
  27. Intelligent Drone Swarm for Search and Rescue Operations at Sea

    Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi +2

    cs.CYcs.AIarXiv:1811.05291v12018
  28. Deep Fault Analysis and Subset Selection in Solar Power Grids

    Biswarup Bhattacharya, Abhishek Sinha

    cs.LGcs.AIcs.CEarXiv:1711.02810v12017
  29. LightIt: Illumination Modeling and Control for Diffusion Models

    Peter Kocsis, Julien Philip, Kalyan Sunkavalli +2

    cs.CVcs.GRcs.LGarXiv:2403.10615v22024
  30. ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models

    Jeong-gi Kwak, Erqun Dong, Yuhe Jin +3

    cs.CVcs.AIcs.GRarXiv:2312.01305v12023
  31. From Rational Answers to Emotional Resonance: The Role of Controllable Emotion Generation in Language Models

    Yurui Dong, Luozhijie Jin, Yao Yang +3

    cs.CLarXiv:2502.04075v22025
  32. Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context

    Jan-Nico Zaech, Dengxin Dai, Alexander Liniger +1

    cs.CVcs.ROarXiv:2004.14251v12020
  33. Depth Anything V2

    Lihe Yang, Bingyi Kang, Zilong Huang +4

    cs.CVarXiv:2406.09414v22024
  34. AgentOps: Enabling Observability of LLM Agents

    Liming Dong, Qinghua Lu, Liming Zhu

    cs.AIcs.SEarXiv:2411.05285v22024
  35. GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

    Thomas Paine, Hailin Jin, Jianchao Yang +2

    cs.CVcs.DCcs.LGarXiv:1312.6186v12013
  36. Fully Convolutional Neural Networks for Crowd Segmentation

    Kai Kang, Xiaogang Wang

    cs.CVarXiv:1411.4464v12014
  37. MacGyver: Are Large Language Models Creative Problem Solvers?

    Yufei Tian, Abhilasha Ravichander, Lianhui Qin +6

    cs.CLcs.AIarXiv:2311.09682v42023
  38. Can LLM be a Personalized Judge?

    Yijiang River Dong, Tiancheng Hu, Nigel Collier

    cs.CLcs.CYarXiv:2406.11657v12024
  39. A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models

    Jaylen Jones, Lingbo Mo, Eric Fosler-Lussier +1

    cs.CLcs.AIarXiv:2402.11676v22024
  40. LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization

    Abhishek Kumar, Sonia Haiduc, Partha Pratim Das +1

    cs.SEarXiv:2409.00630v12024
  41. RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

    Haotian Xu, Xing Wu, Weinong Wang +11

    cs.LGcs.AIcs.CLarXiv:2501.11284v12025
  42. Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains

    David Abel, Alekh Agarwal, Fernando Diaz +2

    cs.AIcs.LGstat.MLarXiv:1603.04119v12016
  43. Photo-Realistic Facial Details Synthesis from Single Image

    Anpei Chen, Zhang Chen, Guli Zhang +3

    cs.CVarXiv:1903.10873v52019
  44. Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models

    Gangwoo Kim, Sungdong Kim, Byeongguk Jeon +2

    cs.CLarXiv:2310.14696v12023
  45. Can ChatGPT be used to generate scientific hypotheses?

    Yang Jeong Park, Daniel Kaplan, Zhichu Ren +5

    cs.CLarXiv:2304.12208v12023
  46. BigCodec: Pushing the Limits of Low-Bitrate Neural Speech Codec

    Detai Xin, Xu Tan, Shinnosuke Takamichi +1

    eess.AScs.SDarXiv:2409.05377v12024
  47. Tree-structured composition in neural networks without tree-structured architectures

    Samuel R. Bowman, Christopher D. Manning, Christopher Potts

    cs.CLcs.LGarXiv:1506.04834v32015
  48. AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale

    Yunjie Ji, Xiaoyu Tian, Sitong Zhao +5

    cs.CLarXiv:2505.08311v22025
  49. Nuclei from QCD : Strategy, Challenges and Status

    Martin J. Savage

    nucl-tharXiv:nucl-th/0601001v12005
  50. Low-momentum effective theory for nucleons

    E. Epelbaoum, W. Glöckle, Ulf-G. Meißner

    nucl-thhep-pharXiv:nucl-th/9804005v21998
  51. Hierarchical Object Detection with Deep Reinforcement Learning

    Miriam Bellver, Xavier Giro-i-Nieto, Ferran Marques +1

    cs.CVcs.LGarXiv:1611.03718v22016
  52. SyncSpeech: Efficient and Low-Latency Text-to-Speech based on Temporal Masked Transformer

    Zhengyan Sheng, Zhihao Du, Shiliang Zhang +2

    cs.SDcs.AIarXiv:2502.11094v22025
  53. Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

    Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel +1

    cs.LGstat.MLarXiv:2007.13532v22020
  54. CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs

    Weijie Lv, Xuan Xia, Sheng-Jun Huang

    cs.CLcs.LGarXiv:2408.02193v12024
  55. FaR-GAN for One-Shot Face Reenactment

    Hanxiang Hao, Sriram Baireddy, Amy R. Reibman +1

    cs.CVarXiv:2005.06402v12020
  56. FoodGPT: 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:2308.10173v12023
  57. Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem

    Davor Hafnar, Jure Demšar

    cs.AIarXiv:2402.10133v22024
  58. $\Delta$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization

    Rushil Anirudh, Jayaraman J. Thiagarajan

    cs.LGcs.CVstat.MLarXiv:2110.02197v12021
  59. Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

    Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1

    cs.NEcs.LGarXiv:1807.07362v12018
  60. GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

    Yang Gao, Hong Yang, Peng Zhang +2

    cs.LGcs.AIstat.MLarXiv:1904.09981v22019