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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3,001 to 3,060 of 15,348

Semi-parametric Image Synthesis
Xiaojuan Qi, Qifeng Chen, Jiaya Jia +1
cs.CVcs.AIcs.GRarXiv:1804.10992v12018
A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets
Takaaki Fujita, Florentin Smarandache
cs.AIcs.CEarXiv:2603.15667v12026
Multi-Agent Teams Hold Experts Back
Aneesh Pappu, Batu El, Hancheng Cao +4
cs.MAcs.AIarXiv:2602.01011v42026
Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
Chengyu Fang, Heng Guo, Zheng Jiang +3
cs.CVcs.AIarXiv:2603.25155v12026
Compositionality and Generalization in Emergent Languages
Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt +2
cs.CLcs.AIcs.LGarXiv:2004.09124v12020
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR
Muhammad Khalifa, Zohaib Khan, Omer Tafveez +2
cs.LGcs.AIcs.CLarXiv:2603.07084v22026
Deferred Commitment Decoding for Diffusion Language Models
Yingte Shu, Yuchuan Tian, Chao Xu +2
cs.CLcs.AIarXiv:2601.02076v22026
R$^3$L: Reflect-then-Retry Reinforcement Learning with Language-Guided Exploration, Pivotal Credit, and Positive Amplification
Weijie Shi, Yanxi Chen, Zexi Li +5
cs.LGcs.AIarXiv:2601.03715v22026
CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration
Dongxu Zhang, Yingsen Wang, Yiding Sun +3
cs.CVcs.AIarXiv:2603.12721v12026
Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization
Bernardo Aceituno-Cabezas, Carlos Mastalli, Hongkai Dai +7
cs.ROcs.AIeess.SYarXiv:1904.04595v12019
ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation
Hongyu Yan, Qiwei Li, Jiaolong Yang +1
cs.ROcs.AIarXiv:2603.27670v12026
Contextual Object Detection with Multimodal Large Language Models
Yuhang Zang, Wei Li, Jun Han +2
cs.CVcs.AIarXiv:2305.18279v22023
When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO
Yu Li, Tian Lan, Zhengling Qi
cs.AIarXiv:2603.13134v12026
Current Agents Fail to Leverage World Model as Tool for Foresight
Cheng Qian, Emre Can Acikgoz, Bingxuan Li +8
cs.AIcs.CLcs.LGarXiv:2601.03905v22026
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng, Zhibo Yang, Iwao Ojima +2
cs.LGcs.AIarXiv:2106.05386v42021
Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
Hongyi Zhou, Jin Zhu, Kai Ye +3
cs.CLcs.AIstat.MLarXiv:2601.21895v22026
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
Somil Bansal, Varun Tolani, Saurabh Gupta +2
cs.ROcs.AIcs.CVarXiv:1903.02531v22019
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik +4
cs.DBcs.AIcs.LGarXiv:2602.04029v22026
Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning
Yu Li, Mingyang Yi, Xiuyu Li +6
cs.AIarXiv:2602.00994v32026
From Multi-Agent to Single-Agent: When Is Skill Distillation Beneficial?
Binyan Xu, Dong Fang, Haitao Li +1
cs.AIarXiv:2604.01608v52026
Large Electron Model: A Universal Ground State Predictor
Timothy Zaklama, Max Geier, Liang Fu
cond-mat.str-elcs.AIcs.LGarXiv:2603.02346v22026
ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs
Haoqian Meng, Yilun Luo, Yafei Zhao +3
cs.LGcs.AIarXiv:2601.07475v22026
PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading
Mayank Ravishankara
cs.AIcs.SEarXiv:2602.13232v12026
Random Projections for $k$-means Clustering
Christos Boutsidis, Anastasios Zouzias, Petros Drineas
cs.AIcs.DSarXiv:1011.4632v12010
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel, Jilin Chen, Tulsee Doshi +6
cs.LGcs.AIcs.CYarXiv:1901.04562v12019
Survey of Dropout Methods for Deep Neural Networks
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
cs.NEcs.AIcs.LGarXiv:1904.13310v22019
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner +11
cs.OHcs.AIcs.SEarXiv:2012.06319v22020
Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM
Zizhao Hu, Mohammad Rostami, Jesse Thomason
cs.AIarXiv:2603.18507v12026
Generative Adversarial Network for Abstractive Text Summarization
Linqing Liu, Yao Lu, Min Yang +3
cs.CLcs.AIarXiv:1711.09357v12017
Large Language Models in Education: Vision and Opportunities
Wensheng Gan, Zhenlian Qi, Jiayang Wu +1
cs.AIarXiv:2311.13160v12023
Switching Theory for Q-Learning
Donghwan Lee
cs.LGcs.AIeess.SYarXiv:2604.19569v52026
Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models
Yu Xie, Ludwig Winkler, Lixin Sun +10
stat.MLcs.AIcs.LGarXiv:2602.16634v22026
Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
Sravanthi Machcha, Sushrita Yerra, Sahil Gupta +4
cs.CLcs.AIarXiv:2601.12471v22026
Evaluating and Understanding Scheming Propensity in LLM Agents
Mia Hopman, Jannes Elstner, Maria Avramidou +2
cs.AIarXiv:2603.01608v22026
TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks
Muyan Weng, Defu Cao, Wei Yang +2
cs.AIcs.LGarXiv:2602.13272v12026
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
Ramtin Ehsani, Sakshi Pathak, Shriya Rawal +3
cs.SEcs.AIarXiv:2601.15195v12026
Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions
Guo Gan, Yuxuan Ding, Cong Chen +3
cs.LGcs.AIarXiv:2604.07277v22026
Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
Jeffrey Fang, Glen Chou
cs.ROcs.AIeess.SYarXiv:2604.07644v12026
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI Feedback
Sijie Ji, Mo Li
cs.ITcs.AIeess.SParXiv:2102.07507v32021
AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping
Sunghwan Kim, Ryang Heo, Yongsik Seo +2
cs.IRcs.AIarXiv:2602.12315v12026
ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction
Nick Ferguson, Josh Pennington, Narek Beghian +4
cs.LGcs.AIarXiv:2602.12247v22026
EVMbench: Evaluating AI Agents on Smart Contract Security
Justin Wang, Andreas Bigger, Xiaohai Xu +5
cs.LGcs.AIcs.CRarXiv:2603.04915v12026
Reflection-aware Generative Novel View Synthesis
GeonU Kim, Shin Dong-Yeon, Tae-Hyun Oh
cs.CVcs.AIarXiv:2609.05382v12026
Learning to Self-Verify Makes Language Models Better Reasoners
Yuxin Chen, Yu Wang, Yi Zhang +9
cs.CLcs.AIarXiv:2602.07594v12026
A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao +1
cs.CLcs.AIcs.LGarXiv:1911.04700v12019
CUDABench: Benchmarking LLMs for Text-to-CUDA Generation
Jiace Zhu, Wentao Chen, Qi Fan +6
cs.LGcs.AIarXiv:2603.02236v12026
Prompt-Learning for Fine-Grained Entity Typing
Ning Ding, Yulin Chen, Xu Han +6
cs.CLcs.AIarXiv:2108.10604v12021
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Christian Buck, Jannis Bulian, Massimiliano Ciaramita +4
cs.CLcs.AIarXiv:1705.07830v32017
CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
Jesse Barkley, Rumi Loghmani, Amir Barati Farimani
cs.AIarXiv:2603.26512v12026
Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation
Minsang Kim, Seung Jun Baek
cs.CLcs.AIcs.LGarXiv:2603.13260v12026
Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
Wei Liu, Siya Qi, Yali Du +1
cs.LGcs.AIcs.CLarXiv:2603.02218v22026
Text summarization via global structure awareness
Jiaquan Zhang, Chaoning Zhang, Shuxu Chen +9
cs.CLcs.AIarXiv:2602.09821v22026
FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
Yixi Zhou, Fan Zhang, Yu Chen +3
cs.IRcs.AIcs.CLarXiv:2601.06992v22026
RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments
Quoc H. Nguyen, Ali Lafzi, Abhijeet Phatak +4
cs.LGcs.AIarXiv:2609.05403v12026
How does information access affect LLM monitors' ability to detect sabotage?
Rauno Arike, Raja Mehta Moreno, Rohan Subramani +2
cs.AIcs.SEarXiv:2601.21112v22026
ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
Xinyi Hu, Yuhao Shen, Baolin Zhang +6
cs.DCcs.AIcs.LGarXiv:2604.09603v22026
Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues
Chuanrui Hu, Tong Li, Xingze Gao +8
cs.CLcs.AIarXiv:2602.01313v32026
Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar +6
cs.PLcs.AIarXiv:2609.05364v12026
Can We Predict Before Executing Machine Learning Agents?
Jingsheng Zheng, Jintian Zhang, Yujie Luo +5
cs.CLcs.AIcs.LGarXiv:2601.05930v22026
Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions
Mahadev Sunil Kumar, Bhavika Gondi, Desaisetty Venkata Satya Sai Swapnith +6
cs.CVcs.AIcs.LGarXiv:2609.05334v12026

Artificial Intelligence

Semi-parametric Image Synthesis

A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets

Multi-Agent Teams Hold Experts Back

Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

Compositionality and Generalization in Emergent Languages

Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR

Deferred Commitment Decoding for Diffusion Language Models

R$^3$L: Reflect-then-Retry Reinforcement Learning with Language-Guided Exploration, Pivotal Credit, and Positive Amplification

CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration

Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization

ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation

Contextual Object Detection with Multimodal Large Language Models

When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO

Current Agents Fail to Leverage World Model as Tool for Foresight

Artificial Intelligence in Drug Discovery: Applications and Techniques

Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text

Combining Optimal Control and Learning for Visual Navigation in Novel Environments

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning

From Multi-Agent to Single-Agent: When Is Skill Distillation Beneficial?

Large Electron Model: A Universal Ground State Predictor

ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs

PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading

Random Projections for $k$-means Clustering

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

Survey of Dropout Methods for Deep Neural Networks

6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment

Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM

Generative Adversarial Network for Abstractive Text Summarization

Large Language Models in Education: Vision and Opportunities

Switching Theory for Q-Learning

Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty

Evaluating and Understanding Scheming Propensity in LLM Agents

TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks

Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub

Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions

Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU

CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI Feedback

AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping

ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction

EVMbench: Evaluating AI Agents on Smart Contract Security

Reflection-aware Generative Novel View Synthesis

Learning to Self-Verify Makes Language Models Better Reasoners

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

Prompt-Learning for Fine-Grained Entity Typing

Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation

Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation

Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain

Text summarization via global structure awareness

FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering

RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

How does information access affect LLM monitors' ability to detect sabotage?

ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios

Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues

Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool

Can We Predict Before Executing Machine Learning Agents?

Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions