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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20,581 to 20,640 of 27,580

InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training
Pengkai Wang, Pengwei Liu, Qi Zuo +3
cs.CLcs.AIarXiv:2510.15859v52025
Benevolent Bias in Multi-Turn Human-Agent Dialogue
Qianqi Liu, Jin Huang, Fethiye Irmak Dogan +1
cs.AIarXiv:2608.29206v12026
Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer
Fabricio C. Avini, Guilherme Trez
cs.AIarXiv:2609.04377v12026
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1509.00838v22015
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu, Tony Khuong Nguyen, Emma Dixon +7
cs.ROcs.AIcs.LGarXiv:2503.08558v32025
Transformer in Transformer
Kai Han, An Xiao, Enhua Wu +3
cs.CVcs.AIarXiv:2103.00112v32021
Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability
Sizhe Zhou, Sheldon Yu, Hui Wei +8
cs.CLcs.AIarXiv:2607.26637v12026
A Theory on Adam Instability in Large-Scale Machine Learning
Igor Molybog, Peter Albert, Moya Chen +14
cs.LGcs.AImath.OCarXiv:2304.09871v22023
DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
Weiran Wang, Xintong Huo, Yueying Wang +7
cs.LGcs.AIcs.ETarXiv:2609.00059v12026
RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
Sunzhu Li, Jiale Zhao, Miteto Wei +6
cs.AIarXiv:2601.08430v22026
Unsupervised Unlearning of Concept Drift with Autoencoders
André Artelt, Kleanthis Malialis, Christos Panayiotou +2
cs.LGcs.AIarXiv:2211.12989v22022
U-Space: Uncovering When and Why Uncertainty Arises in Language Models
Tobias Braun, Nils Loose, Alexander Herzog +4
cs.CLcs.AIcs.LGarXiv:2610.09087v12026
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
Feng Chen, Liqin Wang, Julie Hong +2
cs.AIcs.CYcs.LGarXiv:2310.19917v32023
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
Devleena Das, Siddhartha Banerjee, Sonia Chernova
cs.AIarXiv:2101.01625v12021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
Andrey Malinin, Neil Band, Ganshin +15
cs.LGcs.AIstat.MLarXiv:2107.07455v32021
Agent Learning via Early Experience
Kai Zhang, Xiangchao Chen, Bo Liu +27
cs.AIcs.CLcs.IRarXiv:2510.08558v32025
DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation
Peyman Hosseini, Ondrej Bohdal, Ahmed Alajrami +6
cs.LGcs.AIarXiv:2606.29961v12026
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
Tianxing Chen, Zanxin Chen, Baijun Chen +23
cs.ROcs.AIcs.CLarXiv:2506.18088v22025
Aligning Human Sense: Calibrated Distributional Reward Learning for Video Generation
Nai-Xin Zhai, Weihua Cheng, Dexu Yu +9
cs.CVcs.AIarXiv:2608.21425v12026
FutureSim: Replaying World Events to Evaluate Adaptive Agents
Shashwat Goel, Nikhil Chandak, Arvindh Arun +5
cs.LGcs.AIcs.CLarXiv:2605.15188v12026
EXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting
Seunghan Lee, Sangjun Han, Jun Seo +9
cs.AIcs.LGarXiv:2609.30880v12026
Neither Precision Nor Architecture Alone: Controlled Tests of Failure Remedies for Physics-Informed Neural Networks
Jinyuan Zhang, Peng He, He Hu +2
cs.LGcs.AIarXiv:2608.25327v12026
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Xiaohan Wang, Yuhui Zhang, Orr Zohar +1
cs.CVcs.AIcs.CLarXiv:2403.10517v12024
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives
Weiqiang Jin, Hongyang Du, Shixiang Tang +2
cs.MAcs.AIarXiv:2503.13415v22025
BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs
Debarpan Bhattacharya, Malay Phadke, Sriram Ganapathy
cs.CLcs.AIcs.LGarXiv:2608.30646v12026
MarIA: Spanish Language Models
Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marc Pàmies +7
cs.CLcs.AIarXiv:2107.07253v52021
Physiological World Models for Human State Transitions
Chongyang Zhang, Rendong Wang, Hao Zheng +4
cs.AIarXiv:2608.15309v12026
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
Yiju Guo, Ganqu Cui, Lifan Yuan +9
cs.CLcs.AIcs.SYarXiv:2402.19085v32024
Evaluating Language Models' Evaluations of Games
Katherine M. Collins, Cedegao E. Zhang, Graham Todd +9
cs.CLcs.AIarXiv:2510.10930v32025
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Haozhe Wang, Chao Qu, Zuming Huang +3
cs.LGcs.AIarXiv:2504.08837v32025
GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection
Shuguang Zhang, Junhong Lian, Guoxin Yu +2
cs.CVcs.AIcs.CLarXiv:2601.20618v12026
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens, Michael Everett, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1810.08700v22018
LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation
Daniel Alejandro Coll Tejeda, Pedro García López, Daniel Barcelona-Pons
cs.IRcs.AIcs.CLarXiv:2609.10239v12026
Benchmarking General Mobile Assistants in Challenging Real-World Scenarios
Yiqi Zhu, Feiyu Gao, Jiaxing Fan +7
cs.AIcs.CVarXiv:2608.27477v12026
Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History
Serin Kim, Sangam Lee, Dongha Lee
cs.CLcs.AIarXiv:2602.17003v32026
External Validity: From Do-Calculus to Transportability Across Populations
Judea Pearl, Elias Bareinboim
stat.MEcs.AIarXiv:1503.01603v12015
PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs
Zhilin Zhang, Xiang Zhang, Jiaqi Wei +2
cs.AIarXiv:2508.17188v22025
Cross-modal triage network: a multimodal deep learning framework for severity-based triage and visual explainability in chest radiographs
Zinah Ghulam, Richa Mittal, Eranga Ukwatta
eess.IVcs.AIcs.CVarXiv:2609.04357v12026
LLMscope: Extracting LLM Assets from Edge AI Chips via Optical Probing
Dev Mehta, Lily Dukette, William Folan +4
cs.CRcs.AIarXiv:2608.25321v12026
Sigma-Hunter: A Domain-Specific Language Model for Threat Hunting and Detection Engineering
Kemal Davaslioglu, Sastry Kompella
cs.AIcs.CRarXiv:2610.09007v12026
SafeDiSTL: Decomposing Joint Constraints for Safe Multi-Agent Reinforcement Learning
Hongrui Zheng, Aditya Singh, Rahul Mangharam
cs.LGcs.AIarXiv:2610.13737v12026
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping
Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal +1
cs.HCcs.AIcs.CLarXiv:2304.07810v22023
Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization
Gustavo Sutter, Alejandro Comas-Leon, David Holzmüller +4
cs.LGcs.AIstat.MLarXiv:2610.08969v12026
Recitation-Augmented Language Models
Zhiqing Sun, Xuezhi Wang, Yi Tay +2
cs.CLcs.AIarXiv:2210.01296v22022
MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces
Reuben A. Luera, Ryan Rossi, Franck Dernoncourt +12
cs.HCcs.AIarXiv:2510.08783v12025
Describe Anything Anywhere At Any Moment
Nicolas Gorlo, Lukas Schmid, Luca Carlone
cs.CVcs.AIcs.ROarXiv:2512.00565v12025
CF-VLM:CounterFactual Vision-Language Fine-tuning
Jusheng Zhang, Kaitong Cai, Yijia Fan +2
cs.LGcs.AIarXiv:2506.17267v12025
Can Generative AI Automate Data Extraction for Meta-Analysis? A Case Study on Intercropping Research
Zehao Lu, Xingguo Xiong, Wopke van der Werf +2
cs.AIarXiv:2609.35089v12026
An Analysis of Hierarchical Text Classification Using Word Embeddings
Roger A. Stein, Patricia A. Jaques, Joao F. Valiati
cs.CLcs.AIcs.LGarXiv:1809.01771v12018
Data Interpreter: An LLM Agent For Data Science
Sirui Hong, Yizhang Lin, Bang Liu +24
cs.AIcs.LGarXiv:2402.18679v42024
Graph Diffusion Transformers are In-Context Molecular Designers
Gang Liu, Jie Chen, Yihan Zhu +4
cs.LGcs.AIarXiv:2510.08744v12025
Scaling Embeddings Outperforms Scaling Experts in Language Models
Hong Liu, Jiaqi Zhang, Chao Wang +13
cs.CLcs.AIcs.LGarXiv:2601.21204v22026
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu
cs.LGcs.AIstat.MLarXiv:2111.10364v32021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen +28
cs.CLcs.AIcs.LGarXiv:1609.08144v22016
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild +2
cs.LGcs.AIstat.MLarXiv:2106.01342v12021
Physics-based Sphere Packing for Lagrangian Mesh Morphing
Jiong Lin, Hod Lipson
cs.GRcs.AIarXiv:2610.08880v12026
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Team Seawead, Ceyuan Yang, Zhijie Lin +52
cs.CVcs.AIarXiv:2504.08685v22025
Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks
Jianghui Wang, Vinay Joshi, Saptarshi Majumder +7
cs.CLcs.AIcs.LGarXiv:2507.23194v12025
Scaling Laws For Scalable Oversight
Joshua Engels, David D. Baek, Subhash Kantamneni +1
cs.AIcs.CYcs.LGarXiv:2504.18530v32025
Tokka-Bench: Evaluating Tokenizers Across 100 Natural and 20 Programming Languages
Ben Gubler
cs.CLcs.AIarXiv:2610.08794v12026

Artificial Intelligence

InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training

Benevolent Bias in Multi-Turn Human-Agent Dialogue

Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Transformer in Transformer

Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability

A Theory on Adam Instability in Large-Scale Machine Learning

DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction

RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation

Unsupervised Unlearning of Concept Drift with Autoencoders

U-Space: Uncovering When and Why Uncertainty Arises in Language Models

Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models

Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Agent Learning via Early Experience

DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation

RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Aligning Human Sense: Calibrated Distributional Reward Learning for Video Generation

FutureSim: Replaying World Events to Evaluate Adaptive Agents

EXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting

Neither Precision Nor Architecture Alone: Controlled Tests of Failure Remedies for Physics-Informed Neural Networks

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

MarIA: Spanish Language Models

Physiological World Models for Human State Transitions

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment

Evaluating Language Models' Evaluations of Games

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection

Safe Reinforcement Learning with Model Uncertainty Estimates

LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation

Benchmarking General Mobile Assistants in Challenging Real-World Scenarios

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History

External Validity: From Do-Calculus to Transportability Across Populations

PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs

Cross-modal triage network: a multimodal deep learning framework for severity-based triage and visual explainability in chest radiographs

LLMscope: Extracting LLM Assets from Edge AI Chips via Optical Probing

Sigma-Hunter: A Domain-Specific Language Model for Threat Hunting and Detection Engineering

SafeDiSTL: Decomposing Joint Constraints for Safe Multi-Agent Reinforcement Learning

VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping

Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization

Recitation-Augmented Language Models

MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces

Describe Anything Anywhere At Any Moment

CF-VLM:CounterFactual Vision-Language Fine-tuning

Can Generative AI Automate Data Extraction for Meta-Analysis? A Case Study on Intercropping Research

An Analysis of Hierarchical Text Classification Using Word Embeddings

Data Interpreter: An LLM Agent For Data Science

Graph Diffusion Transformers are In-Context Molecular Designers

Scaling Embeddings Outperforms Scaling Experts in Language Models

Generalized Decision Transformer for Offline Hindsight Information Matching

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Physics-based Sphere Packing for Lagrangian Mesh Morphing

Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

Scaling Laws For Scalable Oversight

Tokka-Bench: Evaluating Tokenizers Across 100 Natural and 20 Programming Languages