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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1,021 to 1,080 of 15,283

Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro
cs.LGcs.AIarXiv:2209.06528v12022
VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications
Wei He, Yueqing Sun, Hongyan Hao +13
cs.CLcs.AIarXiv:2509.26490v22025
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Chujie Zheng, Kai Dang, Bowen Yu +10
cs.LGcs.AIcs.CLarXiv:2512.01374v32025
Beyond Visual Quality: Evaluating Physical Consistency under Ego-Motion with EgoGenEval
Yilin Long, Chenming Zhu, Zitang Gou +2
cs.CVcs.AIarXiv:2609.11172v12026
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Shuai Shao, Qihan Ren, Chen Qian +8
cs.AIcs.CLcs.LGarXiv:2509.26354v22025
Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions
Dieuwertje Alblas, Alma M. Liezenga, Jan Erik van Woerden +3
cs.CVcs.AIcs.ETarXiv:2609.11126v12026
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
Miao Lu, Weiwei Sun, Weihua Du +4
cs.CLcs.AIcs.LGarXiv:2510.06727v12025
Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification
Kan Wei, Jiahui Cui, Jing Yao +3
cs.CVcs.AIarXiv:2609.11040v12026
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang, Yihe Tang, Jian Wang +1
cs.AIcs.LGcs.LOarXiv:1709.09994v12017
AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends
Muhammad Zawish, Fayaz Ali Dharejo, Sunder Ali Khowaja +4
cs.AIcs.HCcs.NIarXiv:2208.10921v22022
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
Hancheng Ye, Zhengqi Gao, Mingyuan Ma +8
cs.MAcs.AIstat.MLarXiv:2510.12872v22025
Black-Box On-Policy Distillation of Large Language Models
Tianzhu Ye, Li Dong, Zewen Chi +3
cs.CLcs.AIarXiv:2511.10643v32025
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
Haizhong Zheng, Jiawei Zhao, Beidi Chen
cs.LGcs.AIarXiv:2510.01161v22025
Conditional LSTM-GAN for Melody Generation from Lyrics
Yi Yu, Abhishek Srivastava, Simon Canales
cs.AIcs.SDeess.ASarXiv:1908.05551v22019
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
Thanh-Long V. Le, Myeongho Jeon, Kim Vu +2
cs.CLcs.AIcs.LGarXiv:2509.21880v32025
SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios
Tue Le, Minh V. T. Thai, Dung Nguyen Manh +2
cs.SEcs.AIcs.MAarXiv:2512.18470v62025
From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones
Lifan Yuan, Weize Chen, Yuchen Zhang +7
cs.AIcs.CLarXiv:2509.25123v32025
Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models
Rodion Krjutškov, Eduard Barbu, Nikos Sakkas +1
cs.AIcs.LGarXiv:2609.11860v12026
Step-Audio-R1 Technical Report
Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang +14
cs.AIcs.CLcs.SDarXiv:2511.15848v22025
Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact
Masahiro Kato, Daiki Honma, Taka Kato
stat.MLcs.AIcs.LGarXiv:2609.11915v12026
Language Models are Injective and Hence Invertible
Giorgos Nikolaou, Tommaso Mencattini, Donato Crisostomi +3
cs.LGcs.AIarXiv:2510.15511v42025
TiDAR: Think in Diffusion, Talk in Autoregression
Jingyu Liu, Xin Dong, Zhifan Ye +6
cs.CLcs.AIarXiv:2511.08923v12025
Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
Joachim Baumann, Paul Röttger, Aleksandra Urman +4
cs.CLcs.AIcs.LGarXiv:2509.08825v22025
ORCH: Organizational Principles Enable Collective Intelligence in Embodied AI
Zhengran Ji, Jonathan Hyun, Boyuan Chen
cs.MAcs.AIcs.LGarXiv:2609.11737v12026
Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
Meimingwei Li, Stefan Andreas Baumann, Felix Krause +1
cs.CVcs.AIcs.LGarXiv:2609.11804v12026
AMO-Bench: Large Language Models Still Struggle in High School Math Competitions
Shengnan An, Xunliang Cai, Xuezhi Cao +8
cs.CLcs.AIarXiv:2510.26768v12025
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
Tiancheng Gu, Kaicheng Yang, Kaichen Zhang +6
cs.CVcs.AIarXiv:2510.13515v32025
Evaluating Gemini Robotics Policies in a Veo World Simulator
Gemini Robotics Team, Krzysztof Choromanski, Coline Devin +20
cs.ROcs.AIcs.CVarXiv:2512.10675v22025
Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow
Karthik Dharmarajan, Wenlong Huang, Jiajun Wu +2
cs.ROcs.AIcs.CVarXiv:2512.24766v12025
VeRO: A Harness for Agents to Optimize Agents
Varun Ursekar, Apaar Shanker, Veronica Chatrath +2
cs.AIcs.CLcs.LGarXiv:2602.22480v42026
ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding
Luca Della Libera, Cem Subakan, Mirco Ravanelli
cs.SDcs.AIcs.LGarXiv:2609.11642v12026
Great Models Think Alike and this Undermines AI Oversight
Shashwat Goel, Joschka Struber, Ilze Amanda Auzina +6
cs.LGcs.AIcs.CLarXiv:2502.04313v22025
WebInject: Prompt Injection Attack to Web Agents
Xilong Wang, John Bloch, Zedian Shao +3
cs.LGcs.AIcs.CLarXiv:2505.11717v42025
Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models
Andreas Schwung, Steve Yuwono, Sofiene Lassoued +1
cs.AIcs.LGeess.SYarXiv:2609.11615v12026
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
Jakob Mokander, Maria Axente, Federico Casolari +1
cs.CYcs.AIarXiv:2111.05071v12021
ExGRPO: Learning to Reason from Experience
Runzhe Zhan, Yafu Li, Zhi Wang +5
cs.LGcs.AIcs.CLarXiv:2510.02245v22025
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.LGcs.AIarXiv:2511.00405v22025
FineVision: Open Data Is All You Need
Luis Wiedmann, Orr Zohar, Amir Mahla +6
cs.CVcs.AIarXiv:2510.17269v22025
Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints
Junlong Shen Xingyu Li
cs.AIcs.LGarXiv:2609.11490v12026
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)
Harshdeep Singh, Yurui Zhu, Giovanni Colavizza +1
cs.AIcs.LGarXiv:2609.11569v12026
The Path Not Taken: RLVR Provably Learns Off the Principals
Hanqing Zhu, Zhenyu Zhang, Hanxian Huang +11
cs.LGcs.AIarXiv:2511.08567v12025
Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views
Zhangquan Chen, Manyuan Zhang, Xinlei Yu +8
cs.CVcs.AIarXiv:2510.18632v42025
Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models
Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +5
cs.CVcs.AIcs.LGarXiv:2609.11310v12026
General Agentic Memory Via Deep Research
B. Y. Yan, Chaofan Li, Hongjin Qian +2
cs.CLcs.AIcs.IRarXiv:2511.18423v12025
Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
Jiahao Meng, Xiangtai Li, Haochen Wang +8
cs.CVcs.AIcs.MMarXiv:2510.20579v22025
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
Caorui Li, Yu Chen, Yiyan Ji +40
cs.AIarXiv:2510.10689v32025
Predicting Train Delays in Finland Using Machine Learning and Weather Data
Vinicius Pozzobon Borin, Jean Michel de Souza Sant'Ana, Nurul Huda Mahmood
cs.AIcs.LGarXiv:2609.11277v12026
Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders
Angela Cratere, Luca Ghilardi, Vishnu Reddy +3
cs.CVcs.AIcs.LGarXiv:2609.11269v12026
Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1
Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2
cs.AIcs.LGarXiv:2609.11281v12026
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input
Jiajun Liu, Yibing Wang, Hanghang Ma +6
cs.CVcs.AIcs.MMarXiv:2408.15542v12024
SIM-CoT: Supervised Implicit Chain-of-Thought
Xilin Wei, Xiaoran Liu, Yuhang Zang +5
cs.CLcs.AIarXiv:2509.20317v22025
Generative Replay Mitigates Sample Starvation in Quantum Architecture Search
Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld +1
quant-phcs.AIcs.ETarXiv:2609.11248v12026
CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting
Yalda Taheri, Mohammad Hassan Heydari, Armon Rasooli +3
cs.AIcs.CEcs.LGarXiv:2609.11206v12026
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
Fangqi Zhu, Zhengyang Yan, Zicong Hong +3
cs.ROcs.AIarXiv:2511.09515v12025
Training Deeper Neural Machine Translation Models with Transparent Attention
Ankur Bapna, Mia Xu Chen, Orhan Firat +2
cs.CLcs.AIcs.LGarXiv:1808.07561v22018
VLA-0: Building State-of-the-Art VLAs with Zero Modification
Ankit Goyal, Hugo Hadfield, Xuning Yang +2
cs.ROcs.AIarXiv:2510.13054v12025
Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions
Alejandro Galan-Cuenca, Marcelo Saval-Calvo, Antonio Javier Gallego
cs.CVcs.AIcs.LGarXiv:2609.10851v12026
DriftNet: A Dual-Head Trajectory Transformer for Detecting and Localizing Prompt Injection in LLM Agents
Asif Pinjari, Mithun Paul Saint-Germain
cs.CRcs.AIcs.LGarXiv:2609.10892v12026
TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Zhangchen Xu, Adriana Meza Soria, Shawn Tan +4
cs.LGcs.AIcs.CLarXiv:2510.01179v12025
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
Jintao Zhang, Haoxu Wang, Kai Jiang +10
cs.LGcs.AIcs.CVarXiv:2509.24006v22025

Artificial Intelligence

Explainable AI for clinical and remote health applications: a survey on tabular and time series data

VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications

Stabilizing Reinforcement Learning with LLMs: Formulation and Practices

Beyond Visual Quality: Evaluating Physical Consistency under Ego-Motion with EgoGenEval

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents

Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management

Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification

Premise Selection for Theorem Proving by Deep Graph Embedding

AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

Black-Box On-Policy Distillation of Large Language Models

Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?

Conditional LSTM-GAN for Melody Generation from Lyrics

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones

Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models

Step-Audio-R1 Technical Report

Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact

Language Models are Injective and Hence Invertible

TiDAR: Think in Diffusion, Talk in Autoregression

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation

ORCH: Organizational Principles Enable Collective Intelligence in Embodied AI

Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling

AMO-Bench: Large Language Models Still Struggle in High School Math Competitions

UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning

Evaluating Gemini Robotics Policies in a Veo World Simulator

Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow

VeRO: A Harness for Agents to Optimize Agents

ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding

Great Models Think Alike and this Undermines AI Oversight

WebInject: Prompt Injection Attack to Web Agents

Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models

Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation

ExGRPO: Learning to Reason from Experience

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

FineVision: Open Data Is All You Need

Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints

Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)

The Path Not Taken: RLVR Provably Learns Off the Principals

Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views

Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models

General Agentic Memory Via Deep Research

Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Predicting Train Delays in Finland Using Machine Learning and Weather Data

Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders

Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

SIM-CoT: Supervised Implicit Chain-of-Thought

Generative Replay Mitigates Sample Starvation in Quantum Architecture Search

CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting

WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Training Deeper Neural Machine Translation Models with Transparent Attention

VLA-0: Building State-of-the-Art VLAs with Zero Modification

Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions

DriftNet: A Dual-Head Trajectory Transformer for Detecting and Localizing Prompt Injection in LLM Agents

TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention