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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18,781 to 18,840 of 27,828

Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models
Thantham Jittham
cs.CLcs.AIcs.LGarXiv:2608.21377v12026
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Jin Qin, Zihan Liao, Ziyin Zhang +3
cs.CLcs.AIarXiv:2512.21332v12025
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
Wei Zhao, Zhe Li, Yige Li +2
cs.AIarXiv:2405.18166v22024
Inference-Time Graph Engineering for Multi-Agent LLM Workflows
Katherine Tieu, Dongqi Fu, Yinglong Xia +3
cs.AIarXiv:2609.05774v12026
SHAPE of Chain-of-Thought in Math Reasoning
Jonghyun Song, Sangjun Song, Minjae Oh +3
cs.AIarXiv:2608.28600v12026
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Souhaib Ben Taieb, Gianluca Bontempi, Amir Atiya +1
stat.MLcs.AIcs.LGarXiv:1108.3259v12011
A Gravitational Interpretation of Fine-Tuning Reversion
Samuele Poppi, Nils Lukas
cs.LGcs.AIarXiv:2606.28525v12026
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
cs.LGcs.AIcs.CLarXiv:2306.12929v22023
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora, Nadav Cohen, Wei Hu +1
cs.LGcs.AIcs.NEarXiv:1905.13655v32019
In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion
Yikai Wang, Xiao Han, Mengmeng Xu +9
cs.CVcs.AIcs.LGarXiv:2609.32540v12026
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor, Jonathan Berant
cs.CLcs.AIcs.LGarXiv:1803.06643v12018
Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks
Maximilian Schlegel, Rajai Nasser, Seijin Kobayashi +6
cs.LGcs.AIarXiv:2610.03858v12026
Alignment Games: A Framework for Conceptual Repair in Human-AI Collaboration
Hari Subramonyam, Maneesh Agrawala, Sean Follmer
cs.HCcs.AIarXiv:2609.35197v12026
Beyond IID: How General Are Tabular Foundation Models, Really?
Lennart Purucker, Andrej Tschalzev, Nick Erickson +7
cs.LGcs.AIarXiv:2606.30410v12026
Why Better Models Can Create Riskier Systems: Evidence from LLM Agents in Financial Markets
Jillian Ross, Eric So, Zoe De Simone +2
cs.AIcs.CYarXiv:2609.04373v12026
Meta-RL Induces Exploration in Language Agents
Yulun Jiang, Liangze Jiang, Damien Teney +2
cs.LGcs.AIarXiv:2512.16848v22025
A Spectral Algorithm for Learning Hidden Markov Models
Daniel Hsu, Sham M. Kakade, Tong Zhang
cs.LGcs.AIarXiv:0811.4413v62008
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté +1
cs.AIcs.CLarXiv:1909.05398v32019
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa
cs.CVcs.AIarXiv:2211.13287v12022
Open Vocabulary Scene Parsing
Hang Zhao, Xavier Puig, Bolei Zhou +2
cs.CVcs.AIarXiv:1703.08769v22017
INTELLECT-3: Technical Report
Prime Intellect Team, Mika Senghaas, Fares Obeid +20
cs.LGcs.AIarXiv:2512.16144v12025
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
cs.LGcs.AIarXiv:0806.4686v22008
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru, Etienne Denis, William L. Hamilton
cs.LGcs.AIstat.MLarXiv:1911.06962v22019
Are We on the Right Way to Assessing LLM-as-a-Judge?
Yuanning Feng, Sinan Wang, Zhengxiang Cheng +2
cs.CLcs.AIarXiv:2512.16041v12025
Revisiting Parameter Server in LLM Post-Training
Xinyi Wan, Penghui Qi, Guangxing Huang +3
cs.DCcs.AIarXiv:2601.19362v12026
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
Zhenwen Liang, Sidi Lu, Wenhao Yu +4
cs.LGcs.AIarXiv:2512.15687v12025
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta +6
cs.CVcs.AIcs.LGarXiv:2211.13218v22022
Can large language models build causal graphs?
Stephanie Long, Tibor Schuster, Alexandre Piché
cs.CLcs.AIarXiv:2303.05279v22023
DEER: Draft with Diffusion, Verify with Autoregressive Models
Zicong Cheng, Guo-Wei Yang, Jia Li +3
cs.LGcs.AIarXiv:2512.15176v12025
Tracing Agentic Failure from the Flow of Success
Samuel Yeh, Yiwen Zhu, Shaleen Deep +1
cs.AIcs.CLarXiv:2607.12747v12026
CogEvol: Towards Efficient and Reliable Learning Environment Generation
Shangqing Tu, Daniel Zhang-Li, Yucheng Wang +21
cs.CLcs.AIarXiv:2608.30968v12026
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Yu Wang, Yilin Shen, Hongxia Jin
cs.CLcs.AIcs.LGarXiv:1812.10235v12018
Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models
Matthias Busch, Marius Tacke, Sviatlana V. Lamaka +4
cs.AIarXiv:2609.05381v12026
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
William F. Shen, Xinchi Qiu, Chenxi Whitehouse +6
cs.LGcs.AIarXiv:2602.05125v12026
Invariant Risk Minimization
Martin Arjovsky, Léon Bottou, Ishaan Gulrajani +1
stat.MLcs.AIcs.LGarXiv:1907.02893v32019
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee, Wenchao Yu, Kijung Shin +2
cs.AIcs.LGarXiv:2502.11418v22025
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon, Jan Sobotka, Suhwan Choi +1
cs.LGcs.AIstat.MLarXiv:2510.21332v22025
Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination
Ben Rachmut, Ning Zhang, Yevgeniy Vorobeychik +1
cs.AIarXiv:2609.31963v12026
6.5% of the Neuro-Symbolic Literature Can Be Reproduced from Its Published Artifacts, a Six-Stage Audit Framework and First Instantiation
Brandon Colelough, Vladimir Martirosyan, Ishan Tamrakar +6
cs.AIcs.SEarXiv:2608.26236v12026
Blockchain-Enabled Secure Logging for Fiscal Electronic Mechanisms: Evaluation of the Greek eSEND and myDATA Tax Systems
Panagiotis Mavridis, Anargyros Baklezos, Christos Nikolopoulos
cs.CRcs.AIecon.EMarXiv:2609.04356v12026
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long +3
cs.LGcs.AIcs.DCarXiv:2211.13009v12022
Make Geometry Matter for Spatial Reasoning
Shihua Zhang, Qiuhong Shen, Shizun Wang +2
cs.CVcs.AIarXiv:2603.26639v12026
X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems
Yeonsung Jung, Zhiyuan Wang, Zifan Wang +5
cs.AIarXiv:2610.13886v12026
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
$\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
Yanran Zhang, Bingyao Yu, Yu Zheng +5
cs.CVcs.AIarXiv:2510.05891v12025
What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies
Vivek Chavan, Pengtao Xie, Yahuan Shi +3
cs.ROcs.AIcs.CVarXiv:2609.05376v12026
Adapting from Downturns: Prediction of Long-Term Conversational-Skill Development in Mental-Health Crisis Counselors
Vivian Nguyen, Lillian Lee, Elizabeth A. Olson +1
cs.CLcs.AIcs.CYarXiv:2609.04350v12026
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
Jiachun Li, Zhuoran Jin, Tianyi Men +12
cs.CLcs.AIarXiv:2606.12191v12026
Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach
William Schroeder
cs.CLcs.AIarXiv:2608.29529v12026
FiMI Banking: A Sovereign Model for Indian Retail Banking
NPCI AI Research Team, Aman Kumar, Asit Desai +15
cs.AIcs.CLarXiv:2609.03960v12026
Reward Machines for Signal Temporal Logic
Alper Kamil Bozkurt, Shangtong Zhang, Yuichi Motai
cs.AIcs.LGcs.ROarXiv:2608.13625v12026
Entropy Aware Reward Guidance for Diffusion Language Model Alignment
Atula Tejaswi, Litu Rout, Constantine Caramanis +2
cs.LGcs.AIcs.CLarXiv:2602.05000v22026
MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
Junjie Ye, Caishuang Huang, Zhuohan Chen +12
cs.CLcs.AIarXiv:2505.07591v22025
Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation
Jesse St. Amand, Callum Canavan, Sohaib Imran +5
cs.CLcs.AIarXiv:2608.26159v12026
Matched-Context Group Policy Optimization for LLM Agent Training
Chenxu Zhang, Yaorui Shi, Wenlong Zhang +3
cs.LGcs.AIarXiv:2610.13755v12026
Language models show human-like content effects on reasoning tasks
Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan +5
cs.CLcs.AIcs.LGarXiv:2207.07051v42022
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Haoran Ye, Jiarui Wang, Zhiguang Cao +5
cs.NEcs.AIarXiv:2402.01145v32024
Polis: 3D Self-Supervision at City Scale
Alexander Rusnak, Sophia Kovalenko, Jingru Wang +3
cs.CVcs.AIcs.LGarXiv:2608.29426v12026
Transformer-Patcher: One Mistake worth One Neuron
Zeyu Huang, Yikang Shen, Xiaofeng Zhang +3
cs.CLcs.AIarXiv:2301.09785v12023
Who's in Charge? Disempowerment Patterns in Real-World LLM Usage
Mrinank Sharma, Miles McCain, Raymond Douglas +1
cs.CYcs.AIcs.CLarXiv:2601.19062v12026

Artificial Intelligence

Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models

C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling

Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing

Inference-Time Graph Engineering for Multi-Agent LLM Workflows

SHAPE of Chain-of-Thought in Math Reasoning

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

A Gravitational Interpretation of Fine-Tuning Reversion

Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing

Implicit Regularization in Deep Matrix Factorization

In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion

The Web as a Knowledge-base for Answering Complex Questions

Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks

Alignment Games: A Framework for Conceptual Repair in Human-AI Collaboration

Beyond IID: How General Are Tabular Foundation Models, Really?

Why Better Models Can Create Riskier Systems: Evidence from LLM Agents in Financial Markets

Meta-RL Induces Exploration in Language Agents

A Spectral Algorithm for Learning Hidden Markov Models

Interactive Fiction Games: A Colossal Adventure

HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising

Open Vocabulary Scene Parsing

INTELLECT-3: Technical Report

Sparse Online Learning via Truncated Gradient

Inductive Relation Prediction by Subgraph Reasoning

Are We on the Right Way to Assessing LLM-as-a-Judge?

Revisiting Parameter Server in LLM Post-Training

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Can large language models build causal graphs?

DEER: Draft with Diffusion, Verify with Autoregressive Models

Tracing Agentic Failure from the Flow of Success

CogEvol: Towards Efficient and Reliable Learning Environment Generation

A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks

Invariant Risk Minimization

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents

Weak-to-Strong Generalization under Distribution Shifts

Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination

6.5% of the Neuro-Symbolic Literature Can Be Reproduced from Its Published Artifacts, a Six-Stage Audit Framework and First Instantiation

Blockchain-Enabled Secure Logging for Fiscal Electronic Mechanisms: Evaluation of the Greek eSEND and myDATA Tax Systems

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

Make Geometry Matter for Spatial Reasoning

X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems

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

$\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies

Adapting from Downturns: Prediction of Long-Term Conversational-Skill Development in Mental-Health Crisis Counselors

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application

Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach

FiMI Banking: A Sovereign Model for Indian Retail Banking

Reward Machines for Signal Temporal Logic

Entropy Aware Reward Guidance for Diffusion Language Model Alignment

MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models

Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation

Matched-Context Group Policy Optimization for LLM Agent Training

Language models show human-like content effects on reasoning tasks

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Polis: 3D Self-Supervision at City Scale

Transformer-Patcher: One Mistake worth One Neuron

Who's in Charge? Disempowerment Patterns in Real-World LLM Usage