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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14,041 to 14,100 of 15,364

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
Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions
Ruiyang Qin, Qingzhuo Wang, Tian Wang +2
cs.LGcs.AIcs.CLarXiv:2608.18539v12026
MorphoGP: A Nonparametric Framework for Predicting Equilibrium Beach Profiles Under Tidal Influence
Xi Wu, Yanqing Wei, Hang Yin +3
cs.LGcs.AIphysics.geo-pharXiv:2608.18558v12026
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai +3
cs.CLcs.AIcs.LGarXiv:2106.07447v12021
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Peng Wang, Shuai Bai, Sinan Tan +16
cs.CVcs.AIcs.CLarXiv:2409.12191v22024
GPT-4o System Card
OpenAI, :, Aaron Hurst +417
cs.CLcs.AIcs.CVarXiv:2410.21276v12024
CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks
Pattaraphon Kenny Wongchamcharoen, Kris Gulati, Min Min Fong +1
cs.CYcs.AIcs.MAarXiv:2608.18554v12026
DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents
Hangrui Xu, Jiarui Wang, Yang Yang +5
cs.CLcs.AIcs.LGarXiv:2608.18524v12026
Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts
Kartik Chincholikar, Kaushik Gopalan, Mihir Hasabnis
cs.CVcs.AIarXiv:2608.18696v12026
Composed Historical Image Retrieval by Modeling Temporal Representations
Adrià Molina Rodríguez, Oriol Ramos Terrades, Josep Lladós Canet
cs.CVcs.AIcs.IRarXiv:2608.18694v12026
Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections
Jacopo Ghirri, Carlos Rodriguez-Pardo, Lara Aleluia Reis +1
cs.LGcs.AIecon.GNarXiv:2608.18690v12026
OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios
Zinuo Guo, Min Zhang, Bo Jiang
cs.CVcs.AIarXiv:2608.18586v12026
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn, Federico Cassano, Edward Berman +3
cs.AIcs.CLcs.LGarXiv:2303.11366v42023
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende, Shakir Mohamed
stat.MLcs.AIcs.LGarXiv:1505.05770v62015
OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation
Soumili Ghosh, Debapriya Roy, Aryan Das +1
cs.CVcs.AIarXiv:2608.18516v12026
Coverage-Driven RTL Assertion Generation with Formal Exploration and Neuro-Symbolic Refinement
Zhiyuan Yan, Ziyue Zheng, Hongce Zhang
cs.ARcs.AIarXiv:2608.18482v12026
SeisEvo: Evolution of Seismic Data Reconstruction Algorithms by Agents
Yingjie Xu, Siwei Yu, Jianwei Ma
physics.geo-phcs.AIcs.NEarXiv:2608.18272v12026
FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
Holger R. Roth, Ziyue Xu, Peter Cnudde
cs.CVcs.AIcs.LGarXiv:2608.18311v12026
TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs
Muhammad Haseeb Aslam, Alessandro Koerich, Marco Pedersoli +2
cs.CVcs.AIarXiv:2608.18386v12026
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri +3
cs.CYcs.AIcs.LGarXiv:1802.01933v32018
One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI
Gaston Besanson
cs.SEcs.AIcs.CYarXiv:2608.18360v12026
EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents
Weixian Xu, Shilong Liu, Mengdi Wang
cs.LGcs.AIarXiv:2606.11182v12026
Science Done on a Machine by a Machine: AI Agents in Computational Chemistry
Pavlo O. Dral, Hassan Nawaz, Arif Ullah
physics.chem-phcs.AIphysics.comp-pharXiv:2608.18508v12026
Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents
Alexander Tu, Michael Tu
cs.CRcs.AIcs.LGarXiv:2608.18351v12026
ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics
Shunkai Zhang, Haoran Zhang, Yun Luo +15
cs.AIarXiv:2606.10479v12026
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Ergan Shang, Flavio Sales Truzzi
cs.LGcs.AIarXiv:2608.18469v12026

Artificial Intelligence

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

Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions

MorphoGP: A Nonparametric Framework for Predicting Equilibrium Beach Profiles Under Tidal Influence

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

GPT-4o System Card

CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks

DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts

Composed Historical Image Retrieval by Modeling Temporal Representations

Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections

OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios

Reflexion: Language Agents with Verbal Reinforcement Learning

Variational Inference with Normalizing Flows

OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation

Coverage-Driven RTL Assertion Generation with Formal Exploration and Neuro-Symbolic Refinement

SeisEvo: Evolution of Seismic Data Reconstruction Algorithms by Agents

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs

A Survey Of Methods For Explaining Black Box Models

One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

Science Done on a Machine by a Machine: AI Agents in Computational Chemistry

Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents

ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems