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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11,101 to 11,160 of 15,345

Slimmable Neural Networks
Jiahui Yu, Linjie Yang, Ning Xu +2
cs.CVcs.AIarXiv:1812.08928v12018
FinForge: Semi-Synthetic Financial Benchmark Generation
Glenn Matlin, Akhil Theerthala, Anant Gupta +4
cs.AIarXiv:2601.06747v22026
SketchJudge: A Diagnostic Benchmark for Grading Hand-drawn Diagrams with Multimodal Large Language Models
Yuhang Su, Mei Wang, Yaoyao Zhong +4
cs.CVcs.AIarXiv:2601.06944v12026
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
Liang Chen, Haozhe Zhao, Tianyu Liu +4
cs.CVcs.AIcs.CLarXiv:2403.06764v32024
SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation
Yibo Peng, Long Lian, David Wagner +1
cs.CRcs.AIarXiv:2608.21500v12026
GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models
Zhankai Ye, Bofan Li, Yukai Jin +5
cs.CVcs.AIarXiv:2601.07632v42026
Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques
Marvin Schmitt, Anne Schwerk, Sebastian Lempert
cs.CLcs.AIarXiv:2601.08302v12026
KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning
Egor Cherepanov, Daniil Zelezetsky, Alexey K. Kovalev +1
cs.LGcs.AIcs.CVarXiv:2601.14232v22026
ACE: A Self-Correcting Agentic Canvas Editor for Multi-Slide Presentation Automation
JooYoung Jang, Taegyeong Lee, Jihyeon Park +1
cs.AIarXiv:2608.24103v12026
Parallel Context-of-Experts Decoding for Retrieval Augmented Generation
Giulio Corallo, Paolo Papotti
cs.AIcs.CLarXiv:2601.08670v12026
Scalable Question-Centric Text-to-Image Evaluation: Reliable Ranking, Fine-Grained Diagnosis, and Cost-Aware Routing
Shaoan Zhao, Fang Zhao, Xueqiang Guo +9
cs.AIarXiv:2608.24112v12026
PRISM: Learning Design Knowledge from Data for Stylistic Design Improvement
Huaxiaoyue Wang, Sunav Choudhary, Franck Dernoncourt +2
cs.AIarXiv:2601.11747v12026
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi, Chuang Gan, Yunzhu Li +4
cs.CVcs.AIcs.CLarXiv:1910.01442v22019
METIS: Mentoring Engine for Thoughtful Inquiry & Solutions
Abhinav Rajeev Kumar, Dhruv Trehan, Paras Chopra
cs.LGcs.AIarXiv:2601.13075v12026
Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement
Jian Zhang, Zhangqi Wang, Zhiyuan Wang +5
cs.AIarXiv:2601.13481v12026
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper +8
cs.CLcs.AIcs.LGarXiv:1909.02027v12019
Beyond Accuracy: A Dual-Judge Evaluation Protocol for Vision-Language Models in Legally Grounded Tasks
Su Myat Noe, Ha Thanh Nguyen, May Myo Zin +1
cs.AIarXiv:2608.24258v12026
Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Leszek Sliwko, Jolanta Mizeria-Pietraszko
cs.AIcs.DCcs.LGarXiv:2601.09282v22026
Evaluating Multiple LLM Generations with Validated Task Coverage
Florian Le Bronnec, Rio Yokota
cs.AIarXiv:2608.24228v12026
Data-Efficient Curation for Multimodal Reasoning under Fixed Training Protocols
Yosub Shin, Michael Buriek, Boris Sobolev +5
cs.AIarXiv:2601.10922v22026
On the Evidentiary Limits of Membership Inference for Copyright Auditing
Murat Bilgehan Ertan, Emirhan Böge, Min Chen +2
cs.CRcs.AIarXiv:2601.12937v12026
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Zhiyu Wu, Xiaokang Chen, Zizheng Pan +24
cs.CVcs.AIcs.CLarXiv:2412.10302v12024
Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning
Zhihang Yuan, Chengyu Yue, Long Huang +2
cs.CLcs.AIcs.LGarXiv:2601.13697v12026
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
Maanak Gupta, CharanKumar Akiri, Kshitiz Aryal +2
cs.CRcs.AIarXiv:2307.00691v12023
AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation
Dongjie Cheng, Ruifeng Yuan, Yongqi Li +5
cs.LGcs.AIcs.CLarXiv:2601.17761v12026
Do Reasoning Models Enhance Embedding Models?
Wun Yu Chan, Shaojin Chen, Huihao Jing +5
cs.AIcs.CLarXiv:2601.21192v12026
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
Fangyuan Xu, Rujun Han, Yanfei Chen +7
cs.AIarXiv:2601.18202v12026
TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance
Elena Bruches, Vadim Alperovich, Dari Baturova +8
cs.SEcs.AIarXiv:2601.18241v12026
SHARP: Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models
Alok Abhishek, Tushar Bandopadhyay, Lisa Erickson
cs.CLcs.AIarXiv:2601.21235v12026
From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
Jiaxin Zhang, Wendi Cui, Zhuohang Li +4
cs.AIstat.AParXiv:2601.15690v22026
GameTalk: Training LLMs for Strategic Conversation
Victor Conchello Vendrell, Max Ruiz Luyten, Mihaela van der Schaar
cs.CLcs.AIcs.GTarXiv:2601.16276v12026
Context-Aware Attentive Knowledge Tracing
Aritra Ghosh, Neil Heffernan, Andrew S. Lan
cs.LGcs.AIarXiv:2007.12324v12020
PARTAB: Partition-Aware Reasoning with Structured Evidence for Scalable Table Understanding
Md Mahadi Hasan Nahid, Davood Rafiei
cs.CLcs.AIcs.IRarXiv:2608.24082v12026
More GPUs or a Smaller Cache? Tensor Parallelism versus KV Compression for Memory-Bound LLM Serving
Srikanta Datta Tumkur, Mehar Simhadri, Anshu Bansal +5
cs.AIarXiv:2608.23962v12026
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay, Yilun Du, Abhi Gupta +3
cs.LGcs.AIarXiv:2211.15657v42022
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling
Arka Daw, Anuj Karpatne, William Watkins +2
cs.LGcs.AIcs.CVarXiv:1710.11431v32017
Latent Adversarial Regularization for Offline Preference Optimization
Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu +3
cs.LGcs.AIarXiv:2601.22083v22026
Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
Shuqi Ke, Giulia Fanti
cs.LGcs.AIarXiv:2601.22108v22026
Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity
Heng Zhang, Haotian Xiang, Qin Lu +2
cs.LGcs.AIarXiv:2608.24721v12026
Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning
Alperen Kantarci, Visvanathan Ramesh, Gemma Roig
cs.CVcs.AIcs.HCarXiv:2608.24340v12026
Automata from Agent Traces: Failure and Next-Step Prediction
Seonglae Cho, Franklin Cardenoso Fernandez, Umar Mohammed +4
cs.AIcs.CLcs.LGarXiv:2608.23670v12026
RAPTOR: Ridge-Adaptive Logistic Probes
Ziqi Gao, Yaotian Zhu, Qingcheng Zeng +4
cs.LGcs.AIarXiv:2602.00158v22026
nocaps: novel object captioning at scale
Harsh Agrawal, Karan Desai, Yufei Wang +7
cs.CVcs.AIcs.CLarXiv:1812.08658v32018
Zero-Shot Text-Guided Object Generation with Dream Fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron +2
cs.CVcs.AIcs.GRarXiv:2112.01455v22021
Tlow: Flow-based Item Tokenizer for Recommendation
Nian Li, Chonggang Song, Jingtao Ding +3
cs.IRcs.AIarXiv:2608.24176v12026
Joint Optimization of Tool Creation and Use for Large Language Model Agents
Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen +2
cs.AIcs.SEarXiv:2608.24571v12026
ORPO: Monolithic Preference Optimization without Reference Model
Jiwoo Hong, Noah Lee, James Thorne
cs.CLcs.AIarXiv:2403.07691v22024
CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation
Zhongyuan Peng, Caijun Xu, Changyi Xiao +4
cs.CLcs.AIarXiv:2602.01660v12026
BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation
Jingwen Xu, Yiyang Lu, Zisu Huang +9
cs.LGcs.AIcs.SEarXiv:2602.02554v12026
INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery
Yunhui Jang, Seonghyun Park, Jaehyung Kim +1
cs.AIarXiv:2602.01815v12026
StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing
Zhijie Zheng, Yu Li, Chen Qian +5
cs.AIcs.CRarXiv:2608.24777v12026
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park, Yo Joong Choe, Victor Veitch
cs.CLcs.AIcs.LGarXiv:2311.03658v22023
Lifted Model Construction under Approximate Commutativity
Malte Luttermann, Jan Speller, Tanya Braun +2
cs.AIcs.LGarXiv:2608.24713v12026
Invertible Conditional GANs for image editing
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu +1
cs.CVcs.AIarXiv:1611.06355v12016
Machine Learning for Energy-Performance-aware Scheduling
Zheyuan Hu, Yifei Shi
cs.ARcs.AIcs.LGarXiv:2601.23134v12026
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou, Steven Kearnes, Li Li +2
cs.LGcs.AIstat.MLarXiv:1810.08678v32018
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson +1
cs.AIcs.LGmath.OCarXiv:1512.01629v32015
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang, Jiayun Luo
cs.LGcs.AIarXiv:2101.11174v42021
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, Martin J. Wainwright +1
cs.LGcs.AIstat.MLarXiv:1802.07814v22018
Luce: Relightable Gaussians for 3D Asset Generation
Mayank Singh, Michele Stoppa, Alvise Memo +7
cs.CVcs.AIcs.GRarXiv:2608.23943v12026

Artificial Intelligence

Slimmable Neural Networks

FinForge: Semi-Synthetic Financial Benchmark Generation

SketchJudge: A Diagnostic Benchmark for Grading Hand-drawn Diagrams with Multimodal Large Language Models

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation

GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models

Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques

KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning

ACE: A Self-Correcting Agentic Canvas Editor for Multi-Slide Presentation Automation

Parallel Context-of-Experts Decoding for Retrieval Augmented Generation

Scalable Question-Centric Text-to-Image Evaluation: Reliable Ranking, Fine-Grained Diagnosis, and Cost-Aware Routing

PRISM: Learning Design Knowledge from Data for Stylistic Design Improvement

CLEVRER: CoLlision Events for Video REpresentation and Reasoning

METIS: Mentoring Engine for Thoughtful Inquiry & Solutions

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Beyond Accuracy: A Dual-Judge Evaluation Protocol for Vision-Language Models in Legally Grounded Tasks

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing

Evaluating Multiple LLM Generations with Validated Task Coverage

Data-Efficient Curation for Multimodal Reasoning under Fixed Training Protocols

On the Evidentiary Limits of Membership Inference for Copyright Auditing

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation

Do Reasoning Models Enhance Embedding Models?

SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback

TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance

SHARP: Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models

From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models

GameTalk: Training LLMs for Strategic Conversation

Context-Aware Attentive Knowledge Tracing

PARTAB: Partition-Aware Reasoning with Structured Evidence for Scalable Table Understanding

More GPUs or a Smaller Cache? Tensor Parallelism versus KV Compression for Memory-Bound LLM Serving

Is Conditional Generative Modeling all you need for Decision-Making?

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

Latent Adversarial Regularization for Offline Preference Optimization

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

Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity

Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning

Automata from Agent Traces: Failure and Next-Step Prediction

RAPTOR: Ridge-Adaptive Logistic Probes

nocaps: novel object captioning at scale

Zero-Shot Text-Guided Object Generation with Dream Fields

Tlow: Flow-based Item Tokenizer for Recommendation

Joint Optimization of Tool Creation and Use for Large Language Model Agents

ORPO: Monolithic Preference Optimization without Reference Model

CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation

INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery

StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing

The Linear Representation Hypothesis and the Geometry of Large Language Models

Lifted Model Construction under Approximate Commutativity

Invertible Conditional GANs for image editing

Machine Learning for Energy-Performance-aware Scheduling

Optimization of Molecules via Deep Reinforcement Learning

Risk-Constrained Reinforcement Learning with Percentile Risk Criteria

Graph Neural Network for Traffic Forecasting: A Survey

Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

Luce: Relightable Gaussians for 3D Asset Generation