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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19,381 to 19,440 of 27,757

SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials
Amirhosein Azarpour, Seyyed Moein Kazemi
cs.LGcs.AIarXiv:2610.00050v12026
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories
Ali Behrouz, Farnoosh Hashemi, Adel Javanmard +1
cs.LGcs.AIarXiv:2606.03979v22026
Scaling Laws for Fine-Grained Mixture of Experts
Jakub Krajewski, Jan Ludziejewski, Kamil Adamczewski +9
cs.LGcs.AIcs.CLarXiv:2402.07871v12024
Fidelity Preference, Not Demographic Preference: A Pixel-Level Attribute-Sensitivity Audit of Image Aesthetic/Preference Scorers
Mingyang Xu
cs.CVcs.AIarXiv:2608.23593v12026
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression
Zhenheng Tang, Xueze Kang, Yiming Yin +11
cs.DCcs.AIcs.LGarXiv:2410.12707v12024
Critique of Agent Model
Eric Xing, Mingkai Deng, Jinyu Hou
cs.AIcs.LGcs.MAarXiv:2606.23991v12026
MemTrace: State-Consistent Memory for Long-Horizon Coding Agents
Hongming Xu, Le Zhou, ZhongHe Jin +5
cs.AIarXiv:2610.04838v12026
When Do Causal World Models Help Modular LLM Agents
Xinyuan Song, Zekun Cai
cs.AIarXiv:2610.00012v12026
TEACh: Task-driven Embodied Agents that Chat
Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava +6
cs.CVcs.AIcs.CLarXiv:2110.00534v32021
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg +5
cs.ROcs.AIcs.GRarXiv:1810.01054v12018
The Effects of Memory Replay in Reinforcement Learning
Ruishan Liu, James Zou
cs.AIcs.LGstat.MLarXiv:1710.06574v12017
Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
Shuqi Ke, Giulia Fanti
cs.LGcs.AIarXiv:2601.22108v22026
Semifactual Credit-Augmented Policy Optimization
Junshu Pan, Zhizhang Fu, Shulin Huang +5
cs.LGcs.AIcs.CLarXiv:2609.40360v12026
Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction
Zhong Guan, Yongjian Guo, Haoran Sun +5
cs.LGcs.AIarXiv:2605.12070v22026
SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting
Baishi Li, Kelvin J. L. Koa, Ke-Wei Huang
stat.MLcs.AIcs.LGarXiv:2608.17333v12026
Context Training with Active Information Seeking
Zeyu Huang, Adhiguna Kuncoro, Qixuan Feng +4
cs.CLcs.AIarXiv:2605.13050v22026
HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application
Yiqian Yang, Tian Lan, Qianghuai Jia +6
cs.AIcs.CLcs.MAarXiv:2510.19631v12025
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
Haibo Wang, Bo Feng, Zhengfeng Lai +6
cs.CVcs.AIcs.CLarXiv:2505.05467v22025
Medical Hallucinations in Foundation Models and Their Impact on Healthcare
Yubin Kim, Hyewon Jeong, Shan Chen +24
cs.CLcs.AIcs.CYarXiv:2503.05777v22025
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Ronen Eldan, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2305.07759v22023
Learning Human Activities and Object Affordances from RGB-D Videos
Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena
cs.ROcs.AIcs.CVarXiv:1210.1207v22012
Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO
Hyun Bin Park, Du-Seong Chang
cs.LGcs.AIcs.CLarXiv:2609.03941v12026
Repository-Level Prompt Generation for Large Language Models of Code
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
cs.LGcs.AIcs.PLarXiv:2206.12839v32022
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf +3
cs.CLcs.AIcs.LOarXiv:2302.12433v12023
The Massive Legal Embedding Benchmark (MLEB)
Umar Butler, Abdur-Rahman Butler, Adrian Lucas Malec
cs.CLcs.AIcs.IRarXiv:2510.19365v12025
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Yaowei Zheng, Richong Zhang, Junhao Zhang +4
cs.CLcs.AIarXiv:2403.13372v42024
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Zhiheng Xi, Xin Guo, Yang Nan +18
cs.LGcs.AIcs.CLarXiv:2510.18927v12025
Safe Actions Alone Do Not Ensure Safe Agents: Identifying Unfulfilled Obligations with Guard Models
Youwei Feng, Yitong Zhang, Yuetong Liu +1
cs.AIarXiv:2610.11773v12026
DERELAB: Probing Defeasible Reasoning and Confirmation Bias in LLMs with a Generative Benchmark
Jayanta Sadhu, Sayem Shahad, Kenneth Marino
cs.AIarXiv:2608.30413v12026
Multimodal Federated Learning via Contrastive Representation Ensemble
Qiying Yu, Yang Liu, Yimu Wang +2
cs.LGcs.AIarXiv:2302.08888v32023
Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation
Tirth Bhatt, Naren Kumar S, Mayank Singh
cs.CLcs.AIarXiv:2608.05785v12026
MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
Changle Qu, Sunhao Dai, Hengyi Cai +3
cs.CLcs.AIarXiv:2601.10712v12026
Rethinking Video Generation Model for the Embodied World
Yufan Deng, Zilin Pan, Hongyu Zhang +6
cs.CVcs.AIcs.ROarXiv:2601.15282v12026
ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models
Jun Zhang, Jiasheng Zheng, Boxi Cao +5
cs.CLcs.AIarXiv:2606.23404v12026
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
eess.AScs.AIcs.LGarXiv:1709.06298v22017
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang +2
cs.LGcs.AIcs.CLarXiv:2306.04637v22023
Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design
Vinicius Kaster Marini, Petter Krus
eess.SYcs.AIcs.SEarXiv:2609.10132v12026
RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation
Yuan Si, Simeng Han, Daming Li +1
cs.AIarXiv:2608.23568v12026
A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models
Ivan Moloshnikov, Dmitry Kunitsyn, Alexander Sboev +3
cs.AIcs.CLcs.LGarXiv:2610.13663v12026
ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs
Ahin Lee, Sehyun Yun, Joonha Park +1
cs.LGcs.AIcs.CLarXiv:2609.06072v12026
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy +5
cs.CVcs.AIcs.LGarXiv:2302.12251v22023
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang +3
cs.IRcs.AIcs.LGarXiv:2108.06625v22021
VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics
Fan-Sheng Chuang, Xuchen Li, Yujing Bian +1
cs.LGcs.AIarXiv:2608.25841v12026
In-Context Multiple Instance Learning
Alexander Möllers, Marvin Sextro, Julius Hense +2
cs.LGcs.AIcs.CVarXiv:2606.06458v12026
RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting
Yuchen He, Yueyang Cang, Zhiyuan Ning +2
cs.LGcs.AIarXiv:2609.03937v12026
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Anisha Gunjal, Anthony Wang, Elaine Lau +4
cs.LGcs.AIcs.CLarXiv:2507.17746v22025
Reward-free Alignment for Conflicting Objectives
Peter Chen, Xiaopeng Li, Xi Chen +1
cs.CLcs.AIcs.LGarXiv:2602.02495v32026
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation
Julia Belikova, Rauf Parchiev, Evgeny Egorov +4
cs.AIcs.CLcs.SEarXiv:2606.23127v12026
Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
Xinyi Hou, Yanjie Zhao, Shenao Wang +1
cs.CRcs.AIarXiv:2503.23278v32025
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu, Kwang-Ting Cheng, Dong Huang +2
cs.CVcs.AIcs.LGarXiv:2111.14826v22021
The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization
Tianxi Zhu, Yi Xu, Xiangyang Ji
math.OCcs.AIstat.MLarXiv:2609.06064v12026
Random-Set Graph Neural Networks
Tommy Woodley, Shireen Kudukkil Manchingal, Matteo Tolloso +2
cs.AIcs.LGstat.AParXiv:2605.11987v12026
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Minki Kang, Jin Myung Kwak, Jinheon Baek +1
cs.CLcs.AIcs.LGarXiv:2305.18846v12023
Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations
D. K. C. Senevirathna, A. A. E. Nanayakkara, H. M. C. K. Kulathunga +7
cs.AIcs.LGcs.SDarXiv:2608.27480v12026
Explaining AI Agents Through Execution Traces
Vittoria Vineis, Fabiano Veglianti, Lorenzo Antonelli +3
cs.AIarXiv:2609.06063v12026
Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture
Francisco M. Arrabal-Campos, Francisco G. Montoya, Alfredo Alcayde +1
cs.AIcs.CLcs.LGarXiv:2608.22347v12026
MentorPulse: Refreshing Cross-Model Latent Guidance for Long-Form Generation
Ziwu Liu, Guozhong Li, Chen Qiu +2
cs.CLcs.AIarXiv:2608.20927v12026
SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness
Yizhuo Zhang, Bo Kang, Yi Yang +3
cs.SEcs.AIarXiv:2609.06052v12026
FastKernels: Benchmarking GPU Kernel Generation in Production
Gabriele Oliaro, Yichao Fu, May Jiang +5
cs.LGcs.AIcs.CLarXiv:2605.23215v12026
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Nantas Nardelli, Gregory Farquhar +4
cs.AIcs.LGcs.MAarXiv:1702.08887v32017

Artificial Intelligence

SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories

Scaling Laws for Fine-Grained Mixture of Experts

Fidelity Preference, Not Demographic Preference: A Pixel-Level Attribute-Sensitivity Audit of Image Aesthetic/Preference Scorers

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression

Critique of Agent Model

MemTrace: State-Consistent Memory for Long-Horizon Coding Agents

When Do Causal World Models Help Modular LLM Agents

TEACh: Task-driven Embodied Agents that Chat

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics

The Effects of Memory Replay in Reinforcement Learning

Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining

Semifactual Credit-Augmented Policy Optimization

Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction

SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting

Context Training with Active Information Seeking

HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Medical Hallucinations in Foundation Models and Their Impact on Healthcare

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Learning Human Activities and Object Affordances from RGB-D Videos

Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO

Repository-Level Prompt Generation for Large Language Models of Code

ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics

The Massive Legal Embedding Benchmark (MLEB)

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Safe Actions Alone Do Not Ensure Safe Agents: Identifying Unfulfilled Obligations with Guard Models

DERELAB: Probing Defeasible Reasoning and Confirmation Bias in LLMs with a Generative Benchmark

Multimodal Federated Learning via Contrastive Representation Ensemble

Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching

Rethinking Video Generation Model for the Embodied World

ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design

RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation

A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models

ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs

VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics

In-Context Multiple Instance Learning

RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reward-free Alignment for Conflicting Objectives

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation

The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization

Random-Set Graph Neural Networks

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations

Explaining AI Agents Through Execution Traces

Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture

MentorPulse: Refreshing Cross-Model Latent Guidance for Long-Form Generation

SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness

FastKernels: Benchmarking GPU Kernel Generation in Production

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning