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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5,881 to 5,940 of 15,364

Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads
Aryo Pradipta Gema, Beatrice Alex, Pasquale Minervini
cs.CLcs.AIcs.LGarXiv:2607.01002v12026
Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
Tianci Liu, Zihan Dong, Linjun Zhang +5
cs.AIarXiv:2607.00407v12026
Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity
Bytedance Seed
cs.AIarXiv:2607.00248v12026
Summaries:한국어
ASPIRE: Agentic /Skills Discovery for Robotics
Runyu Lu, Yubo Wu, Ethan Kou +11
cs.ROcs.AIcs.MAarXiv:2607.00272v12026
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents
Sergio Hernández-Gutiérrez, Matteo Merler, Ilze Amanda Auzina +3
cs.LGcs.AIcs.CLarXiv:2606.32034v12026
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
Gabrielle Kaili-May Liu, Avi Caciularu, Gal Yona +2
cs.CLcs.AIarXiv:2606.32032v12026
Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning
Junha Jung, Minbyul Jeong, Suhyeon Lim +5
cs.CVcs.AIarXiv:2606.31825v12026
Summaries:한국어
TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
Yuanda Xu, Zhengze Zhou, Hejian Sang +6
cs.LGcs.AIarXiv:2606.32017v22026
Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation
Jongoh Jeong, Sun-Kyung Lee, Kuk-Jin Yoon
cs.CVcs.AIarXiv:2606.29464v12026
Agentic Abstention: Do Agents Know When to Stop Instead of Act?
Han Luo, Bingbing Wen, Lucy Lu Wang
cs.AIarXiv:2606.28733v12026
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation
Peiwen Zhang, Yufan Deng, Shangkun Sun +11
cs.CVcs.AIcs.ROarXiv:2606.28128v12026
Summaries:한국어
Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents
Aman Mehta, Anupam Datta
cs.AIcs.CLarXiv:2606.22953v12026
FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation
Haorui Ji, Weizhe Liu, Hongdong Li +1
cs.CVcs.AIarXiv:2606.24874v12026
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack
He Zhang, Lingzhu Xiang, Haitao Lin +23
cs.ROcs.AIarXiv:2606.14409v22026
Regret Minimization with Adaptive Opponents in Repeated Games
Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu +1
cs.LGcs.AIcs.GTarXiv:2606.06486v12026
Reinforcement Learning from Rich Feedback with Distributional DAgger
Rishabh Agrawal, Jacob Fein-Ashley, Paria Rashidinejad
cs.LGcs.AIcs.CLarXiv:2606.05152v22026
Unlocking Feature Learning in Gated Delta Networks at Scale
Yifeng Liu, Quanquan Gu
cs.LGcs.AIarXiv:2606.04048v12026
SDR: Set-Distance Rewards for Radiology Report Generation
Halil Ibrahim Gulluk, Max Van Puyvelde, Wim Van Criekinge +1
cs.AIarXiv:2606.00440v12026
Unified Neural Scaling Laws
Ethan Caballero, Priyank Jaini, David Krueger +1
cs.LGcs.AIcs.NEarXiv:2605.26248v12026
Efficient Agentic Reasoning Through Self-Regulated Simulative Planning
Mingkai Deng, Jinyu Hou, Lara Sá Neves +4
cs.AIcs.CLcs.LGarXiv:2605.22138v12026
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
Xitai Jiang, Zihan Tang, Wenze Lin +3
cs.LGcs.AIcs.CLarXiv:2605.22074v12026
Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values
Haonan Dong, Qiguan Feng, Kehan Jiang +3
cs.AIarXiv:2605.10365v12026
Summaries:한국어
DynMuon: A Dynamic Spectral Shaping View of Muon
Fangzhou Wu, Rikhav Shah, Sandeep Silwal +1
cs.LGcs.AIarXiv:2605.17109v32026
FutureSim: Replaying World Events to Evaluate Adaptive Agents
Shashwat Goel, Nikhil Chandak, Arvindh Arun +5
cs.LGcs.AIcs.CLarXiv:2605.15188v12026
MinT: Managed Infrastructure for Training and Serving Millions of LLMs
Mind Lab, :, Song Cao +60
cs.LGcs.AIcs.DCarXiv:2605.13779v22026
Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation
Jiashuo Sun, Jimeng Shi, Yixuan Xie +10
cs.AIarXiv:2605.12975v12026
What if AI systems weren't chatbots?
Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam +1
cs.CYcs.AIarXiv:2605.07896v12026
Automating Database-Native Function Code Synthesis with LLMs
Wei Zhou, Xuanhe Zhou, Qikang He +4
cs.DBcs.AIcs.CLarXiv:2604.06231v12026
GBQA: A Game Benchmark for Evaluating LLMs as Quality Assurance Engineers
Shufan Jiang, Chios Chen, Zhiyang Chen
cs.SEcs.AIarXiv:2604.02648v12026
Summaries:한국어
The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning
Yubo Li, Lu Zhang, Tianchong Jiang +2
cs.CLcs.AIarXiv:2603.29025v32026
From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion
Satoshi Hayakawa
cs.LGcs.AImath.PRarXiv:2609.01043v12026
Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation
Donald Shenaj, Federico Errica, Antonio Carta
cs.CVcs.AIcs.LGarXiv:2603.21884v12026
I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
Aliyu Agboola Alege
cs.AIcs.LGarXiv:2603.15670v22026
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss +1
cs.LGcs.AIstat.MLarXiv:2603.05483v12026
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83
cs.CLcs.AIcs.IRarXiv:2502.13595v42025
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
Yufeng Du, Minyang Tian, Srikanth Ronanki +7
cs.CLcs.AIarXiv:2510.05381v12025
AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
Jinghua Piao, Yuwei Yan, Jun Zhang +13
cs.SIcs.AIarXiv:2502.08691v22025
Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection
Kadir-Kaan Özer, René Ebeling, Markus Enzweiler
cs.LGcs.AIarXiv:2603.12916v32026
ELEPHANT: Measuring and understanding social sycophancy in LLMs
Myra Cheng, Sunny Yu, Cinoo Lee +3
cs.CLcs.AIcs.CYarXiv:2505.13995v22025
Agentic programs: an emerging form of scientific software in computational materials science
Yunsung Lim, Haekwan Jeon, Jaesun Kim +2
cond-mat.mtrl-scics.AIarXiv:2609.00795v12026
Scale Space Diffusion
Soumik Mukhopadhyay, Prateksha Udhayanan, Abhinav Shrivastava
cs.CVcs.AIarXiv:2603.08709v12026
Denoising Diffusion Generative Models Secretly Calculate Attentions
Farzan Haddadi, Leila Monfared, Ebrahim Rezaii +3
cs.AIcs.CVcs.LGarXiv:2609.00885v12026
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
Jaehyun Park, Minyoung Ahn, Minkyu Kim +3
cs.CVcs.AIarXiv:2602.20951v22026
No Language Left Behind: Scaling Human-Centered Machine Translation
NLLB Team, Marta R. Costa-jussà, James Cross +36
cs.CLcs.AIarXiv:2207.04672v32022
Simple Contrastive Graph Clustering
Yue Liu, Xihong Yang, Sihang Zhou +1
cs.LGcs.AIarXiv:2205.07865v32022
Flexible Entropy Control in RLVR with a Gradient-Preserving Perspective
Kun Chen, Peng Shi, Fanfan Liu +4
cs.LGcs.AIcs.CLarXiv:2602.09782v22026
Trust The Typical
Debargha Ganguly, Sreehari Sankar, Biyao Zhang +8
cs.CLcs.AIcs.DCarXiv:2602.04581v12026
Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions
Mohamad Abou Ali, Fadi Dornaika
cs.AIcs.LGarXiv:2510.25445v12025
Context Learning for Multi-Agent Discussion
Xingyuan Hua, Sheng Yue, Xinyi Li +3
cs.AIcs.LGcs.MAarXiv:2602.02350v32026
Steering LLMs via Scalable Interactive Oversight
Enyu Zhou, Zhiheng Xi, Long Ma +9
cs.AIcs.LGarXiv:2602.04210v22026
Ethics-Based Auditing to Develop Trustworthy AI
Jakob Mokander, Luciano Floridi
cs.CYcs.AIarXiv:2105.00002v12021
Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan +5
cs.AIarXiv:2506.08872v22025
InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning
Matthew Y. R. Yang, Hao Bai, Ian Wu +3
cs.LGcs.AIcs.CLarXiv:2601.14209v12026
A Survey on LLM-as-a-Judge
Jiawei Gu, Xuhui Jiang, Zhichao Shi +13
cs.CLcs.AIarXiv:2411.15594v62024
An All-in-One Network for Dehazing and Beyond
Boyi Li, Xiulian Peng, Zhangyang Wang +2
cs.CVcs.AIarXiv:1707.06543v12017
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8
cs.AIcs.HCcs.LGarXiv:2411.10109v32024
Taming Visually Guided Sound Generation
Vladimir Iashin, Esa Rahtu
cs.CVcs.AIcs.LGarXiv:2110.08791v12021
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
Juan Diego Toscano, Vivek Oommen, Alan John Varghese +4
cs.LGcs.AIphysics.comp-pharXiv:2410.13228v22024
A Survey on Diffusion Models for Inverse Problems
Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai +5
cs.LGcs.AIcs.CVarXiv:2410.00083v12024
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Zhangchen Xu, Fengqing Jiang, Luyao Niu +4
cs.CLcs.AIarXiv:2406.08464v22024
Summaries:한국어

Artificial Intelligence

Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads

Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity

ASPIRE: Agentic /Skills Discovery for Robotics

QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs

Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning

TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation

Agentic Abstention: Do Agents Know When to Stop Instead of Act?

PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation

Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents

FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation

Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack

Regret Minimization with Adaptive Opponents in Repeated Games

Reinforcement Learning from Rich Feedback with Distributional DAgger

Unlocking Feature Learning in Gated Delta Networks at Scale

SDR: Set-Distance Rewards for Radiology Report Generation

Unified Neural Scaling Laws

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning

From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning

Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values

DynMuon: A Dynamic Spectral Shaping View of Muon

FutureSim: Replaying World Events to Evaluate Adaptive Agents

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation

What if AI systems weren't chatbots?

Automating Database-Native Function Code Synthesis with LLMs

GBQA: A Game Benchmark for Evaluating LLMs as Quality Assurance Engineers

The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning

From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion

Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation

I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis

MMTEB: Massive Multilingual Text Embedding Benchmark

Context Length Alone Hurts LLM Performance Despite Perfect Retrieval

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection

ELEPHANT: Measuring and understanding social sycophancy in LLMs

Agentic programs: an emerging form of scientific software in computational materials science

Scale Space Diffusion

Denoising Diffusion Generative Models Secretly Calculate Attentions

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis

No Language Left Behind: Scaling Human-Centered Machine Translation

Simple Contrastive Graph Clustering

Flexible Entropy Control in RLVR with a Gradient-Preserving Perspective

Trust The Typical

Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions

Context Learning for Multi-Agent Discussion

Steering LLMs via Scalable Interactive Oversight

Ethics-Based Auditing to Develop Trustworthy AI

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning

A Survey on LLM-as-a-Judge

An All-in-One Network for Dehazing and Beyond

LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Taming Visually Guided Sound Generation

From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning

A Survey on Diffusion Models for Inverse Problems

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing