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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13,861 to 13,920 of 15,209

Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov +1
cs.CVcs.AIarXiv:2303.15343v42023
Gradient Episodic Memory for Continual Learning
David Lopez-Paz, Marc'Aurelio Ranzato
cs.LGcs.AIarXiv:1706.08840v62017
Demographic Injection in Medical Language Models under Diversity, Equity, and Inclusion Prompts
Diego Mardian, Frank Liu
cs.AIcs.CLarXiv:2608.15254v12026
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
Yeabin Moon
cs.AIcs.CLcs.CYarXiv:2608.16956v12026
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst +24
cs.LGcs.AIstat.MLarXiv:1806.01261v32018
Complex Embeddings for Simple Link Prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel +2
cs.AIcs.LGstat.MLarXiv:1606.06357v12016
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl, Vladlen Koltun
cs.CVcs.AIcs.LGarXiv:1210.5644v12012
Transformers in Vision: A Survey
Salman Khan, Muzammal Naseer, Munawar Hayat +3
cs.CVcs.AIcs.LGarXiv:2101.01169v52021
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh, Percy Liang
stat.MLcs.AIcs.LGarXiv:1703.04730v32017
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu +15
cs.CVcs.AIcs.LGarXiv:2408.00714v22024
Mistral 7B
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch +15
cs.CLcs.AIcs.LGarXiv:2310.06825v12023
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou +2
cs.CLcs.AIcs.LGarXiv:1607.06520v12016
A Survey on Visual Transformer
Kai Han, Yunhe Wang, Hanting Chen +10
cs.CVcs.AIarXiv:2012.12556v62020
Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao, Yun Xiong, Xinyu Gao +7
cs.CLcs.AIarXiv:2312.10997v52023
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun, Kate Saenko
cs.CVcs.AIcs.LGarXiv:1607.01719v12016
Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yura Burda +7
cs.LGcs.AIcs.CLarXiv:2305.20050v12023
Multi-column Deep Neural Networks for Image Classification
Dan Cireşan, Ueli Meier, Juergen Schmidhuber
cs.CVcs.AIarXiv:1202.2745v12012
ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning
Jayjun Lee, Jessica Yin, Asif Rana +7
cs.ROcs.AIarXiv:2608.19182v12026
Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
Zhu Zhang, Jixun Wang, Xiaoang Xu +6
cs.LGcs.AIcs.CLarXiv:2608.19181v12026
Bernstein-Vazirani Networks: Quantum Machine Learning by Interference
Natacha Kuete Meli, Tolga Birdal, Prayag Tiwari +2
quant-phcs.AIcs.CVarXiv:2608.19043v12026
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle, Michael Carbin
cs.LGcs.AIcs.NEarXiv:1803.03635v52018
DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering
Xujia Wang, Yizhe Zhang, Bin Xu +2
cs.CLcs.AIarXiv:2608.18988v12026
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing +2
cs.CVcs.AIcs.LGarXiv:2112.01527v32021
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez, Florian Strub, Harm de Vries +2
cs.CVcs.AIcs.CLarXiv:1709.07871v22017
From Threat Intelligence to Detection: Knowledge-driven Enrichment and Template-based Rule Grounding for Automated Sigma Rule Generation
Sepehr Ghaffarzadegan, Boubakr Nour, Makan Pourzandi +2
cs.CRcs.AIarXiv:2608.19011v12026
AlphaClifford: Efficient Clifford Synthesis and Transpilation with Model-based RL
Daniele Lizzio Bosco, Jacopo Cossio, Carla Piazza +1
quant-phcs.AIarXiv:2608.18946v12026
Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets
Tate Berenbaum, Muthaiah Venkatachalam
cs.DCcs.AIcs.SEarXiv:2608.19147v12026
Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles
Emanuele Luzio
cs.LGcs.AIcs.CYarXiv:2608.19127v12026
Intercepting the Kangaroo: Experimental Astrolinguistics with Constructed Lexicons, Active Probing, and Large Language Models as Informants and Hypothesis Proposers
Francesco Cordella, Mauro Cappelli
cs.CLcs.AIarXiv:2608.19124v12026
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Dongbin Kim, Seungyun Lee, Geonwoo Shin +1
cs.LGcs.AIarXiv:2608.19119v12026
Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
cs.CVcs.AIcs.LGarXiv:2109.01134v62021
Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation
Huan-ang Gao, Haohan Chi, Yong Yan +7
cs.LGcs.AIcs.CLarXiv:2608.19098v12026
Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift
Longtian Wang, Zhengyu Zhao, Chenhao Lin +5
cs.CVcs.AIarXiv:2608.19088v12026
DA-WAM: Decision-Aligned Future Latents for Driving World Models
Ruiguo Zhong, Benshan Ma, Xiaolong Chen +5
cs.ROcs.AIarXiv:2608.19085v12026
GS-VLA: Plug-and-Play Viewpoint Canonicalization for Frozen VLA Policies via Gaussian Splatting
Yechan Park, HyunJin Kim
cs.CVcs.AIarXiv:2608.19066v12026
Counterfactual Contrastive Analysis
Yunlong He, Pietro Gori
cs.CVcs.AIarXiv:2608.19032v12026
One-Stage Object Detectors in Autonomous Driving
Jonel Roman, Ryan Sirjue, Peter Nguyen +3
cs.CVcs.AIarXiv:2608.19014v12026
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey J. Gordon, J. Andrew Bagnell
cs.LGcs.AIstat.MLarXiv:1011.0686v32010
Harness Continual Learning: Continual Adaptation Beyond Model Parameters
Borui Kang, Jinrui Gu, Junhan Lv +3
cs.LGcs.AIarXiv:2608.19013v12026
GrabVG: Graph-Attentive Binding for Visual Grounding in UAV Imagery
Chaowei Wang, Yan Di, Jingjun Sun +5
cs.CVcs.AIarXiv:2608.18996v12026
Pointer Sentinel Mixture Models
Stephen Merity, Caiming Xiong, James Bradbury +1
cs.CLcs.AIarXiv:1609.07843v12016
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay +2
cs.CVcs.AIcs.CLarXiv:1612.00837v32016
rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation
Minh Hoang Nguyen, Tung Le, Huy Tien Nguyen
cs.IRcs.AIcs.CLarXiv:2608.18952v12026
Epistemic Subordination: Generative AI and the Infrastructure of Knowledge
Gilad Abiri, Emanuel V. Towfigh
cs.CYcs.AIarXiv:2608.18758v12026
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Shunyu Yao, Dian Yu, Jeffrey Zhao +4
cs.CLcs.AIcs.LGarXiv:2305.10601v22023
A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation
Steven Landgraf, Joceline Hinz, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18709v12026
MedUAG: Unified Understanding and Generation for Medical Multimodal Models
Zijie Meng, Yuncheng Zhang, Hualiang Wang +8
cs.CLcs.AIarXiv:2608.18937v12026
Graphical Design of Interpretable Architectures
Pietro Barbiero
cs.LGcs.AIcs.NEarXiv:2608.18936v12026
SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance
Jian Yang, Zhenqi Feng, Zhaoyang Yu +7
cs.CLcs.AIarXiv:2608.18921v12026
Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets
Ting Xiang, Chenxi Deng, Jinhui Zhao +4
cs.CVcs.AIarXiv:2608.18907v12026
Density estimation using Real NVP
Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio
cs.LGcs.AIcs.NEarXiv:1605.08803v32016
Identifying Implicit Premises for Logical Reconstruction of Argument Graphs
Xuyao Feng, Anthony Hunter
cs.CLcs.AIarXiv:2608.18821v12026
Do Large Language Models Hallucinate Electric Fata Morganas?
Kristina Šekrst
cs.CLcs.AIarXiv:2608.18816v12026
Forgetting, plasticity, and co-observation: a third facet of continual learning
Timm Hess, Abhishek Jha, Gido M. van de Ven +1
cs.LGcs.AIarXiv:2608.18803v12026
The Mythos of Model Interpretability
Zachary C. Lipton
cs.LGcs.AIcs.CVarXiv:1606.03490v32016
Decomposing Wrong-Consensus Agreement in LLM Self-Consistency: A GPT-4.1 Case Study
Lizhuo Zhang, Mengmeng Tang, Chenfeng Long +2
cs.CLcs.AIarXiv:2608.18795v12026
Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening
Kerol Djoumessi, Philipp Berens
cs.LGcs.AIarXiv:2608.18759v12026
A Few Cases Are All You Need: An Empirical Study of Annotation-Efficient LoRA Fine-Tuning of MedSAM3
Sachin Dudda Nagaraju, Bendik Skarre Abrahamsen, Ashkan Moradi +1
cs.CVcs.AIarXiv:2608.18731v12026
The Impact of CutMix on Reliability and Robustness in Semantic Segmentation
Steven Landgraf, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18715v12026
A Survey of Large Language Models
Wayne Xin Zhao, Kun Zhou, Junyi Li +19
cs.CLcs.AIarXiv:2303.18223v192023

Artificial Intelligence

Sigmoid Loss for Language Image Pre-Training

Gradient Episodic Memory for Continual Learning

Demographic Injection in Medical Language Models under Diversity, Equity, and Inclusion Prompts

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

Relational inductive biases, deep learning, and graph networks

Complex Embeddings for Simple Link Prediction

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Transformers in Vision: A Survey

Understanding Black-box Predictions via Influence Functions

SAM 2: Segment Anything in Images and Videos

Mistral 7B

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

A Survey on Visual Transformer

Retrieval-Augmented Generation for Large Language Models: A Survey

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Let's Verify Step by Step

Multi-column Deep Neural Networks for Image Classification

ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning

Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning

Bernstein-Vazirani Networks: Quantum Machine Learning by Interference

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering

Masked-attention Mask Transformer for Universal Image Segmentation

FiLM: Visual Reasoning with a General Conditioning Layer

From Threat Intelligence to Detection: Knowledge-driven Enrichment and Template-based Rule Grounding for Automated Sigma Rule Generation

AlphaClifford: Efficient Clifford Synthesis and Transpilation with Model-based RL

Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets

Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles

Intercepting the Kangaroo: Experimental Astrolinguistics with Constructed Lexicons, Active Probing, and Large Language Models as Informants and Hypothesis Proposers

Discretizing Continuous Time Series for Imputation with Masked Diffusion Training

Learning to Prompt for Vision-Language Models

Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation

Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift

DA-WAM: Decision-Aligned Future Latents for Driving World Models

GS-VLA: Plug-and-Play Viewpoint Canonicalization for Frozen VLA Policies via Gaussian Splatting

Counterfactual Contrastive Analysis

One-Stage Object Detectors in Autonomous Driving

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Harness Continual Learning: Continual Adaptation Beyond Model Parameters

GrabVG: Graph-Attentive Binding for Visual Grounding in UAV Imagery

Pointer Sentinel Mixture Models

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation

Epistemic Subordination: Generative AI and the Infrastructure of Knowledge

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation

MedUAG: Unified Understanding and Generation for Medical Multimodal Models

Graphical Design of Interpretable Architectures

SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance

Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets

Density estimation using Real NVP

Identifying Implicit Premises for Logical Reconstruction of Argument Graphs

Do Large Language Models Hallucinate Electric Fata Morganas?

Forgetting, plasticity, and co-observation: a third facet of continual learning

The Mythos of Model Interpretability

Decomposing Wrong-Consensus Agreement in LLM Self-Consistency: A GPT-4.1 Case Study

Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening

A Few Cases Are All You Need: An Empirical Study of Annotation-Efficient LoRA Fine-Tuning of MedSAM3

The Impact of CutMix on Reliability and Robustness in Semantic Segmentation

A Survey of Large Language Models