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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96,421 to 96,480 of 101,980

Instruction Position Matters in Sequence Generation with Large Language Models
Yijin Liu, Xianfeng Zeng, Fandong Meng +1
cs.CLarXiv:2308.12097v12023
Why Does ChatGPT Fall Short in Providing Truthful Answers?
Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
cs.CLcs.AIarXiv:2304.10513v32023
Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies
Jonas Andrulis, Ole Meyer, Grégory Schott +2
cs.AIarXiv:2011.06665v12020
Governing AI Agents
Noam Kolt
cs.AIarXiv:2501.07913v22025
Artificial Intelligent Disobedience: Rethinking the Agency of Our Artificial Teammates
Reuth Mirsky
cs.AIarXiv:2506.22276v12025
Intelligent Drone Swarm for Search and Rescue Operations at Sea
Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi +2
cs.CYcs.AIarXiv:1811.05291v12018
Deep Fault Analysis and Subset Selection in Solar Power Grids
Biswarup Bhattacharya, Abhishek Sinha
cs.LGcs.AIcs.CEarXiv:1711.02810v12017
LightIt: Illumination Modeling and Control for Diffusion Models
Peter Kocsis, Julien Philip, Kalyan Sunkavalli +2
cs.CVcs.GRcs.LGarXiv:2403.10615v22024
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
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
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
Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang +4
cs.CVarXiv:2406.09414v22024
AgentOps: Enabling Observability of LLM Agents
Liming Dong, Qinghua Lu, Liming Zhu
cs.AIcs.SEarXiv:2411.05285v22024
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
Thomas Paine, Hailin Jin, Jianchao Yang +2
cs.CVcs.DCcs.LGarXiv:1312.6186v12013
Fully Convolutional Neural Networks for Crowd Segmentation
Kai Kang, Xiaogang Wang
cs.CVarXiv:1411.4464v12014
MacGyver: Are Large Language Models Creative Problem Solvers?
Yufei Tian, Abhilasha Ravichander, Lianhui Qin +6
cs.CLcs.AIarXiv:2311.09682v42023
Can LLM be a Personalized Judge?
Yijiang River Dong, Tiancheng Hu, Nigel Collier
cs.CLcs.CYarXiv:2406.11657v12024
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
LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization
Abhishek Kumar, Sonia Haiduc, Partha Pratim Das +1
cs.SEarXiv:2409.00630v12024
RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
Haotian Xu, Xing Wu, Weinong Wang +11
cs.LGcs.AIcs.CLarXiv:2501.11284v12025
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel, Alekh Agarwal, Fernando Diaz +2
cs.AIcs.LGstat.MLarXiv:1603.04119v12016
Photo-Realistic Facial Details Synthesis from Single Image
Anpei Chen, Zhang Chen, Guli Zhang +3
cs.CVarXiv:1903.10873v52019
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
Gangwoo Kim, Sungdong Kim, Byeongguk Jeon +2
cs.CLarXiv:2310.14696v12023
Can ChatGPT be used to generate scientific hypotheses?
Yang Jeong Park, Daniel Kaplan, Zhichu Ren +5
cs.CLarXiv:2304.12208v12023
BigCodec: Pushing the Limits of Low-Bitrate Neural Speech Codec
Detai Xin, Xu Tan, Shinnosuke Takamichi +1
eess.AScs.SDarXiv:2409.05377v12024
Tree-structured composition in neural networks without tree-structured architectures
Samuel R. Bowman, Christopher D. Manning, Christopher Potts
cs.CLcs.LGarXiv:1506.04834v32015
AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale
Yunjie Ji, Xiaoyu Tian, Sitong Zhao +5
cs.CLarXiv:2505.08311v22025
Nuclei from QCD : Strategy, Challenges and Status
Martin J. Savage
nucl-tharXiv:nucl-th/0601001v12005
Low-momentum effective theory for nucleons
E. Epelbaoum, W. Glöckle, Ulf-G. Meißner
nucl-thhep-pharXiv:nucl-th/9804005v21998
Many-body localization edge in the random-field Heisenberg chain
David J. Luitz, Nicolas Laflorencie, Fabien Alet
cond-mat.dis-nncond-mat.str-elarXiv:1411.0660v22014
Hierarchical Object Detection with Deep Reinforcement Learning
Miriam Bellver, Xavier Giro-i-Nieto, Ferran Marques +1
cs.CVcs.LGarXiv:1611.03718v22016
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
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel +1
cs.LGstat.MLarXiv:2007.13532v22020
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
Weijie Lv, Xuan Xia, Sheng-Jun Huang
cs.CLcs.LGarXiv:2408.02193v12024
FaR-GAN for One-Shot Face Reenactment
Hanxiang Hao, Sriram Baireddy, Amy R. Reibman +1
cs.CVarXiv:2005.06402v12020
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
Zero-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:2110.02197v12021
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1
cs.NEcs.LGarXiv:1807.07362v12018
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao, Hong Yang, Peng Zhang +2
cs.LGcs.AIstat.MLarXiv:1904.09981v22019
Explanation-Based Human Debugging of NLP Models: A Survey
Piyawat Lertvittayakumjorn, Francesca Toni
cs.CLcs.AIcs.HCarXiv:2104.15135v32021
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model
Xinshuo Hu, Zifei Shan, Xinping Zhao +10
cs.CLarXiv:2501.01028v42025
An Efficient and Multi-Modal Navigation System with One-Step World Model
Wangtian Shen, Ziyang Meng, Jinming Ma +2
cs.ROarXiv:2601.12277v12026
Hierarchically Gated Recurrent Neural Network for Sequence Modeling
Zhen Qin, Songlin Yang, Yiran Zhong
cs.CLcs.LGarXiv:2311.04823v12023
ERNIE-Image Technical Report
Jiaxiang Liu, Zhida Feng, Pengyu Zou +46
cs.CVcs.LGarXiv:2605.25347v12026
A-Evolve-Training: Autonomous Post-Training of a 30B Model
Zhan Shi, Bing He, Yisi Sang +2
cs.AIcs.LGarXiv:2606.20657v32026
Summaries:한국어
Retrieval meets Long Context Large Language Models
Peng Xu, Wei Ping, Xianchao Wu +7
cs.CLcs.AIcs.IRarXiv:2310.03025v22023
Verbalizing LLMs' assumptions to explain and control sycophancy
Myra Cheng, Isabel Sieh, Humishka Zope +7
cs.CLcs.AIcs.CYarXiv:2604.03058v32026
PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
Kanika Goswami, Puneet Mathur, Ryan Rossi +1
cs.CLcs.AIarXiv:2502.00988v12025
AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN
Zewang Zhang, Qiao Tian, Heng Lu +2
cs.SDcs.CLeess.ASarXiv:2005.05642v12020
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving
Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok +6
cs.CVcs.ROarXiv:2310.02251v22023
Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS
Mutian He, Yan Deng, Lei He
cs.CLcs.LGcs.SDarXiv:1906.00672v32019
VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning
Xuanle Zhao, Deyang Jiang, Zhixiong Zeng +8
cs.CVarXiv:2511.00391v32025
PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
Yanjun Zhao, Tianxin Wei, Jiaru Zou +7
cs.IRarXiv:2604.21304v22026
Levels of AGI for Operationalizing Progress on the Path to AGI
Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel +5
cs.AIarXiv:2311.02462v52023
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang +2
physics.ao-phcs.LGarXiv:2404.17652v22024
Discovering the Hidden Vocabulary of DALLE-2
Giannis Daras, Alexandros G. Dimakis
cs.LGcs.CLcs.CRarXiv:2206.00169v12022
GaussGym: An open-source real-to-sim framework for learning locomotion from pixels
Alejandro Escontrela, Justin Kerr, Arthur Allshire +4
cs.ROcs.AIcs.GRarXiv:2510.15352v12025
DRAWER: Digital Reconstruction and Articulation With Environment Realism
Hongchi Xia, Entong Su, Marius Memmel +7
cs.CVcs.ROarXiv:2504.15278v22025
A Reproducible Extraction of Training Images from Diffusion Models
Ryan Webster
cs.CVcs.AIarXiv:2305.08694v12023

Every paper with a summary

Instruction Position Matters in Sequence Generation with Large Language Models

Why Does ChatGPT Fall Short in Providing Truthful Answers?

Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies

Governing AI Agents

Artificial Intelligent Disobedience: Rethinking the Agency of Our Artificial Teammates

Intelligent Drone Swarm for Search and Rescue Operations at Sea

Deep Fault Analysis and Subset Selection in Solar Power Grids

LightIt: Illumination Modeling and Control for Diffusion Models

ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models

From Rational Answers to Emotional Resonance: The Role of Controllable Emotion Generation in Language Models

Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context

Depth Anything V2

AgentOps: Enabling Observability of LLM Agents

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

Fully Convolutional Neural Networks for Crowd Segmentation

MacGyver: Are Large Language Models Creative Problem Solvers?

Can LLM be a Personalized Judge?

A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models

LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains

Photo-Realistic Facial Details Synthesis from Single Image

Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models

Can ChatGPT be used to generate scientific hypotheses?

BigCodec: Pushing the Limits of Low-Bitrate Neural Speech Codec

Tree-structured composition in neural networks without tree-structured architectures

AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale

Nuclei from QCD : Strategy, Challenges and Status

Low-momentum effective theory for nucleons

Many-body localization edge in the random-field Heisenberg chain

Hierarchical Object Detection with Deep Reinforcement Learning

SyncSpeech: Efficient and Low-Latency Text-to-Speech based on Temporal Masked Transformer

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs

FaR-GAN for One-Shot Face Reenactment

FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem

$\Delta$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Explanation-Based Human Debugging of NLP Models: A Survey

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

An Efficient and Multi-Modal Navigation System with One-Step World Model

Hierarchically Gated Recurrent Neural Network for Sequence Modeling

ERNIE-Image Technical Report

A-Evolve-Training: Autonomous Post-Training of a 30B Model

Retrieval meets Long Context Large Language Models

Verbalizing LLMs' assumptions to explain and control sycophancy

PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback

AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving

Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS

VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs

Levels of AGI for Operationalizing Progress on the Path to AGI

Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events

Discovering the Hidden Vocabulary of DALLE-2

GaussGym: An open-source real-to-sim framework for learning locomotion from pixels

DRAWER: Digital Reconstruction and Articulation With Environment Realism

A Reproducible Extraction of Training Images from Diffusion Models