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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16,741 to 16,800 of 28,096

DeepQA: Improving the estimation of single protein model quality with deep belief networks
Renzhi Cao, Debswapna Bhattacharya, Jie Hou +1
cs.AIcs.LGq-bio.QMarXiv:1607.04379v12016
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen, Yu Cheng, Zhe Gan +3
cs.CVcs.AIarXiv:2106.04533v32021
Revisiting Text Ranking in Deep Research
Chuan Meng, Litu Ou, Sean MacAvaney +1
cs.IRcs.AIcs.CLarXiv:2602.21456v22026
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
Seulki Park, Youngkyu Hong, Byeongho Heo +2
cs.CVcs.AIarXiv:2112.00412v32021
AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
Ming Wang, Peidong Wang, Lin Wu +6
cs.CLcs.AIarXiv:2506.00551v22025
Large Language Models for Cyber Security: A Systematic Literature Review
Hanxiang Xu, Shenao Wang, Ningke Li +6
cs.CRcs.AIarXiv:2405.04760v52024
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen, Liunian Harold Li, Hao Tan +5
cs.CVcs.AIcs.CLarXiv:2107.06383v12021
Cross-Subject Generalization in Decoding Perceived Speech from Non-Invasive Brain Recordings
Aoke Zhang, Bo Wang, Xihong Wu +2
cs.SDcs.AIarXiv:2608.22420v12026
Continual Unsupervised Representation Learning
Dushyant Rao, Francesco Visin, Andrei A. Rusu +3
cs.LGcs.AIcs.CVarXiv:1910.14481v12019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
Shane T. Mueller, Robert R. Hoffman, William Clancey +2
cs.AIarXiv:1902.01876v12019
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Roberto Henschel, Levon Khachatryan, Hayk Poghosyan +5
cs.CVcs.AIcs.CLarXiv:2403.14773v22024
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
Qiao Jin, Yifan Yang, Qingyu Chen +1
cs.CLcs.AIq-bio.GNarXiv:2304.09667v32023
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang, Zheng Liu, Shitao Xiao +6
cs.CLcs.AIcs.IRarXiv:2105.02605v32021
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge
cs.CVcs.AIarXiv:2101.12491v22021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li, Songyang Zhang, Bo Wan +1
cs.CVcs.AIarXiv:2104.00308v22021
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Xiaohang Tang, Rares Dolga, Sangwoong Yoon +1
cs.LGcs.AIstat.MLarXiv:2507.08838v22025
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp +2
cs.ROcs.AIcs.LGarXiv:1807.02303v52018
xLSTM: Extended Long Short-Term Memory
Maximilian Beck, Korbinian Pöppel, Markus Spanring +6
cs.LGcs.AIstat.MLarXiv:2405.04517v22024
DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
Zhao Mandi, Yifan Hou, Dieter Fox +3
cs.ROcs.AIcs.LGarXiv:2505.24853v12025
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan +3
cs.CVcs.AIcs.LGarXiv:2106.15282v32021
Evaluating and Benchmarking the System One Model Jev
Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa
cs.CLcs.AIarXiv:2609.37647v12026
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey
Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve +1
cs.AIarXiv:2108.11451v42021
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan +2
cs.LGcs.AIarXiv:2502.16681v12025
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim, Seunghyun Park, Jinkyu Kim +1
cs.CVcs.AIarXiv:2104.09841v12021
Summaries:한국어
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
William Fedus, Barret Zoph, Noam Shazeer
cs.LGcs.AIarXiv:2101.03961v32021
Overview of the TREC 2021 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +2
cs.IRcs.AIcs.CLarXiv:2507.08191v12025
Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
Shiyu Xuan, Shiliang Zhang
cs.CVcs.AIarXiv:2103.11658v12021
Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models
Junyi Li, Hwee Tou Ng
cs.CLcs.AIarXiv:2505.24630v22025
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
cs.LGcs.AIcs.CVarXiv:2105.05233v42021
Same Model, Different Harness: Different Coding-Agent Results
Sydney Lewis
cs.AIcs.SEarXiv:2608.26218v12026
Learning Language Games through Interaction
Sida I. Wang, Percy Liang, Christopher D. Manning
cs.CLcs.AIarXiv:1606.02447v12016
SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation
Zelin Tan, Yiqun Zhang, Hao Li +11
cs.AIarXiv:2608.02287v12026
LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs
Luis Ibanez-Lissen, Lorena Gonzalez-Manzano, Jose Maria de Fuentes +1
cs.CRcs.AIarXiv:2505.24451v12025
AlphaMath Almost Zero: Process Supervision without Process
Guoxin Chen, Minpeng Liao, Chengxi Li +1
cs.CLcs.AIarXiv:2405.03553v32024
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
Zonghan Yang, Peng Li, Ming Yan +3
cs.AIcs.CLcs.LGarXiv:2403.14589v32024
MIRIX: Multi-Agent Memory System for LLM-Based Agents
Yu Wang, Xi Chen
cs.CLcs.AIarXiv:2507.07957v12025
The Art of Efficient Reasoning: Data, Reward, and Optimization
Taiqiang Wu, Zenan Xu, Bo Zhou +1
cs.CLcs.AIarXiv:2602.20945v32026
Advancing Multimodal Medical Capabilities of Gemini
Lin Yang, Shawn Xu, Andrew Sellergren +44
cs.CVcs.AIcs.CLarXiv:2405.03162v12024
Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
Indranil Pan, Saptarshi Das
eess.SYcs.AIcs.NEarXiv:1611.09755v12016
TriDet: Temporal Action Detection with Relative Boundary Modeling
Dingfeng Shi, Yujie Zhong, Qiong Cao +3
cs.CVcs.AIcs.MMarXiv:2303.07347v22023
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio, Shao-Hua Sun, Hexiang Hu +1
cs.LGcs.AIstat.MLarXiv:1910.13616v12019
Training Advisors for LLM Agents from Task Outcomes
Sergei Polezhaev, Barys Liskavets, Ori Press +1
cs.CLcs.AIcs.LGarXiv:2610.09858v12026
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning
Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro
cs.CRcs.AIarXiv:2009.03561v52020
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain +6
cs.AIcs.CLcs.CRarXiv:2103.07769v22021
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3432
cs.CLcs.AIarXiv:2507.06261v62025
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
Zixuan Fu, Bingxiang He, Yuxin Zuo +10
cs.AIcs.CLarXiv:2609.04172v12026
TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks
Rongpeng Li, Zhifeng Zhao, Xianfu Chen +2
cs.NIcs.AIcs.ITarXiv:1211.6616v32012
Vision-Language Models as Success Detectors
Yuqing Du, Ksenia Konyushkova, Misha Denil +5
cs.CVcs.AIcs.LGarXiv:2303.07280v12023
Deep Reinforcement Learning and the Deadly Triad
Hado van Hasselt, Yotam Doron, Florian Strub +3
cs.AIcs.LGarXiv:1812.02648v12018
VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System
Haodong Li, Tianfei Ren, Xiaoxiao Ma +25
cs.CVcs.AIarXiv:2607.27380v22026
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng +1
cs.LGcs.AIcs.CVarXiv:2106.06819v12021
PyVision-RL: Forging Open Agentic Vision Models via RL
Shitian Zhao, Shaoheng Lin, Ming Li +4
cs.AIcs.CVarXiv:2602.20739v12026
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Jaemin Cho, Jiasen Lu, Dustin Schwenk +2
cs.CVcs.AIcs.CLarXiv:2009.11278v12020
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
Haoyu Song, Yan Wang, Kaiyan Zhang +2
cs.CLcs.AIarXiv:2106.06169v22021
OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety
Sanidhya Vijayvargiya, Aditya Bharat Soni, Xuhui Zhou +4
cs.AIarXiv:2507.06134v22025
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
Suhana Bedi, Hejie Cui, Miguel Fuentes +78
cs.CLcs.AIarXiv:2505.23802v22025
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau +2
cs.AIcs.LGarXiv:2006.01610v12020
Disentangled Contrastive Collaborative Filtering
Xubin Ren, Lianghao Xia, Jiashu Zhao +2
cs.IRcs.AIarXiv:2305.02759v42023
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac +2
cs.ROcs.AIcs.HCarXiv:2002.00941v22020
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
Zhekai Du, Jingjing Li, Hongzu Su +2
cs.CVcs.AIcs.LGarXiv:2106.04151v12021

Artificial Intelligence

DeepQA: Improving the estimation of single protein model quality with deep belief networks

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

Revisiting Text Ranking in Deep Research

The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification

AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation

Large Language Models for Cyber Security: A Systematic Literature Review

How Much Can CLIP Benefit Vision-and-Language Tasks?

Cross-Subject Generalization in Decoding Perceived Speech from Non-Invasive Brain Recordings

Continual Unsupervised Representation Learning

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

Efficient-CapsNet: Capsule Network with Self-Attention Routing

Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation

wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models

A survey on policy search algorithms for learning robot controllers in a handful of trials

xLSTM: Extended Long Short-Term Memory

DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

Cascaded Diffusion Models for High Fidelity Image Generation

Evaluating and Benchmarking the System One Model Jev

From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey

Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Overview of the TREC 2021 deep learning track

Intra-Inter Camera Similarity for Unsupervised Person Re-Identification

Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models

Diffusion Models Beat GANs on Image Synthesis

Same Model, Different Harness: Different Coding-Agent Results

Learning Language Games through Interaction

SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation

LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs

AlphaMath Almost Zero: Process Supervision without Process

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy

MIRIX: Multi-Agent Memory System for LLM-Based Agents

The Art of Efficient Reasoning: Data, Reward, and Optimization

Advancing Multimodal Medical Capabilities of Gemini

Fractional Order AGC for Distributed Energy Resources Using Robust Optimization

TriDet: Temporal Action Detection with Relative Boundary Modeling

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation

Training Advisors for LLM Agents from Task Outcomes

Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Automated Fact-Checking for Assisting Human Fact-Checkers

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Rethinking On-Policy Distillation of Large Language Models II: One Training Example

TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks

Vision-Language Models as Success Detectors

Deep Reinforcement Learning and the Deadly Triad

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation

PyVision-RL: Forging Open Agentic Vision Models via RL

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers

BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data

OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

Disentangled Contrastive Collaborative Filtering

Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation