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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10,981 to 11,040 of 15,502

VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang, Agrim Gupta, Zichen Zhang +7
cs.ROcs.AIcs.LGarXiv:2210.03094v22022
PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control
Suhwan Choi, Jaeyoon Jung, Sungkyung Kim +2
cs.ROcs.AIarXiv:2608.24115v12026
Parason: Revealing Subtask and Trial Parallelism in LLM Reasoning
Zhengyang Zhang, Zijian Zhang, Jiaxuan Gao +4
cs.AIarXiv:2608.24658v12026
Mode Regularized Generative Adversarial Networks
Tong Che, Yanran Li, Athul Paul Jacob +2
cs.LGcs.AIcs.CVarXiv:1612.02136v52016
ToolRobustBench: Stage-Wise Perturbation Evaluation and Failure Diagnosis for Tool-Calling Agents
YiShan Zheng, Yuan Wu, Yi Chang
cs.SEcs.AIarXiv:2608.23635v12026
ChainPrune: Evaluating and Reducing Redundancy in Long Chain-of-Thought Reasoning
Weihang Pan, Zhengxu Yu, Yuxiang Zhang +5
cs.LGcs.AIarXiv:2608.21860v12026
Unsupervised Discovery of Mid-Level Discriminative Patches
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
cs.CVcs.AIcs.LGarXiv:1205.3137v22012
ExplainGuard: A Zero Trust Framework for Post-Hoc Explanation Integrity Guarantees in Blackbox XAI Models
Maraz Mia, Shovan Roy, Mir Mehedi A. Pritom +1
cs.CRcs.AIarXiv:2608.21803v12026
A survey detection channel overrides the pixels in an astronomical foundation model, and biases tomographic mean redshifts
Ihor Kendiukhov
cs.AIastro-ph.IMarXiv:2608.23626v12026
Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion
Jiaqian Zhu, Yang Zhang, Junhua Ding +1
cs.CLcs.AIcs.LGarXiv:2608.22140v12026
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Danqi Chen, Jason Bolton, Christopher D. Manning
cs.CLcs.AIarXiv:1606.02858v22016
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Daniel Freeman, Erik Frey, Anton Raichuk +3
cs.ROcs.AIarXiv:2106.13281v12021
WAM-OPD: On-Policy Distillation for World Action Models
Liuhaichen Yang, Zhuang Jiang, Chenchao Sheng +1
cs.AIcs.ROarXiv:2608.22364v12026
Progressively Learning Heterogeneous Skills in a Unified Latent Space
Yue-Yi Zhang, Ming Gong, Linpu He +2
cs.CVcs.AIcs.ROarXiv:2608.23258v12026
Maximum a Posteriori Policy Optimisation
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa +3
cs.LGcs.AIcs.ITarXiv:1806.06920v12018
Fast Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut +2
cs.LGcs.AIcs.CLarXiv:2110.11309v22021
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
Christian Schroeder de Witt, Tarun Gupta, Denys Makoviichuk +4
cs.AIarXiv:2011.09533v12020
AgentWeave: Routing Before Reasoning for Efficient Function Calling in Tool-Rich Language Models
Saurav Singla, Aarav Singla, Advik Gupta +1
cs.AIcs.CLarXiv:2608.23078v12026
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela, Max Bartolo, Yixin Nie +16
cs.CLcs.AIarXiv:2104.14337v12021
Compositional Chain-of-Relations for Faithful Knowledge Graph Question Answering with Large Language Models
Chenhui Liu, Jianpeng Zhou, Jiahai Wang
cs.AIarXiv:2608.22762v12026
Imagination-Augmented Agents for Deep Reinforcement Learning
Théophane Weber, Sébastien Racanière, David P. Reichert +12
cs.LGcs.AIstat.MLarXiv:1707.06203v22017
Enhancing the Transferability of Adversarial Attacks through Variance Tuning
Xiaosen Wang, Kun He
cs.AIarXiv:2103.15571v32021
ShardMeter: Sharded and Geo-Distributed Training Without the Guesswork
Tim Beringer, Patrick Diem, Felix Wolf +1
cs.DCcs.AIarXiv:2608.23840v12026
Confidently Wrong, Silently So: Auditing Undetectable Failures of a Deployed On-Device Language Model
Shashwat Pandey, Satwik Pandey, Suresh Raghu
cs.SEcs.AIarXiv:2608.23663v12026
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
Max Schäfer, Sarah Nadi, Aryaz Eghbali +1
cs.SEcs.AIarXiv:2302.06527v42023
Exploit More, Explore Smarter for Budget-Constrained Agentic Search
Haoyang Fang, Bernie Wang
cs.AIcs.LGarXiv:2608.23848v12026
Benchmarking Retrieval-Augmented Generation for Medicine
Guangzhi Xiong, Qiao Jin, Zhiyong Lu +1
cs.CLcs.AIarXiv:2402.13178v22024
Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware
Farhana Amin, Sabiha Afroz, Mona Moghadampanah +1
cs.AIarXiv:2608.23807v12026
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Tomas Hodan, Pavel Haluza, Stepan Obdrzalek +3
cs.CVcs.AIcs.ROarXiv:1701.05498v12017
A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads
Chenghan Li, Qingxiang Liu, Yinliang Xu +1
cs.AIarXiv:2608.24441v12026
Do Spoken Language Models Hear Speech as They Read Text? Bridging Structural Gaps Between Speech and Text
Hyeonyu Kim, Hwayeon Kim, Youngwon Choi +2
cs.CLcs.AIarXiv:2608.22908v12026
Function-Level Execution Feedback for Code Preference Optimization
Idris Nechnech, Sehwan Kim, Jimin Seo +4
cs.AIcs.SEarXiv:2608.23632v12026
Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang, Jing Jiang
cs.CLcs.AIarXiv:1608.07905v22016
Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?
Qianshan Wei, Yishan Yang, Siyi Wang +12
cs.AIarXiv:2604.03016v12026
Mathematical Capabilities of ChatGPT
Simon Frieder, Luca Pinchetti, Alexis Chevalier +5
cs.LGcs.AIcs.CLarXiv:2301.13867v22023
LLMs are Few-Shot Decision-Makers: Generalized Context-Aware Microgrid Frequency Control through Prompt Decision Transformer
Xu Yang, Chenhui Lin, Haotian Liu +3
eess.SYcs.AIarXiv:2608.21858v12026
Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong Chul Ye
eess.IVcs.AIcs.CVarXiv:2110.05243v32021
LLM Agents Perform Controlled Experiments Using Simulation Models
Yuchen Xia, Michael Weyrich, Nasser Jazdi +6
cs.AIcs.CLcs.MAarXiv:2608.23622v12026
Where World Models Break: Natural-Input Failure Discovery
Zhanpeng Shi, Zi Liang, Rong Feng +3
cs.AIarXiv:2608.22421v12026
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
Fengbin Zhu, Wenqiang Lei, Youcheng Huang +5
cs.CLcs.AIarXiv:2105.07624v22021
How Much Regularization Survives Averaging? Update Masking in Federated Learning
Wenhao Yan, Fu Kuroda, Yucheng Jin +1
cs.LGcs.AIarXiv:2608.23286v22026
Data Mixing as Mixture Experiment: Response Surface Methodology and Optimal Design for Large Language Model Pretraining
Yicheng Mao, Hongru Du
cs.AIstat.MLarXiv:2608.23922v12026
Restoring Without Forgetting: Continual Learning Across Image Degradations
Alif Ashrafee, Bartosz Krawczyk
cs.CVcs.AIcs.LGarXiv:2608.23799v12026
AI Agents Push Humans Out of the Loop
Margaret Mitchell, Avijit Ghosh, Samir Passi
cs.AIcs.HCarXiv:2608.23642v12026
Beyond Static Interpretability: Anticipating Post-SFT Mechanisms from Pre-SFT Parameters for Better Tuning
Hang Chen, Jiaying Zhu, Wenya Wang
cs.LGcs.AIcs.CLarXiv:2608.24482v12026
Simthesizer: An Agent-Driven Simulation Framework for LLM Serving Systems
Wonung Kim, Hyunmin Choi, Minsu Kim +3
cs.ARcs.AIarXiv:2608.24650v12026
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan
cs.LGcs.AIcs.CVarXiv:1711.00848v32017
Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation
Leila Khaertdinova, Anna Anikina, Claudia Mello-Thoms +1
cs.CVcs.AIcs.LGarXiv:2608.23836v12026
FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare
Jacob Idoko, Siddhartha Paudel, Mariana Bento +2
cs.AIarXiv:2608.23643v12026
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan McAllister, Roberto Calandra +2
cs.LGcs.AIstat.MLarXiv:2006.10742v22020
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Xinjie Lin, Gang Xiong, Gaopeng Gou +3
cs.CRcs.AIcs.NIarXiv:2202.06335v22022
PsychJail: Exploring Psychological Jailbreaks via Multi-Turn Persuasion of LLM Policies
Zeyu Feng, Qingyu Wu, Yuzhe Luo +1
cs.AIarXiv:2608.23028v12026
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Minghao Li, Yingxiu Zhao, Bowen Yu +6
cs.CLcs.AIarXiv:2304.08244v22023
Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst +3
cs.LGcs.AIcs.CVarXiv:1904.07451v22019
SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems
Xiang Wang, Shigang Quan, Tingzhen Chang +5
cs.AIarXiv:2608.22979v22026
Improving the matrix multiplication exponent with modern optimization and AlphaEvolve
Emilien Dupont, Marvin Eisenberger, Borislav Kozlovskii +7
cs.DScs.AIcs.CCarXiv:2608.16884v12026
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Nianyi Lin, Jiajie Zhang, Lei Hou +1
cs.CLcs.AIcs.LGarXiv:2605.31584v12026
Segment Anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi +9
cs.CVcs.AIcs.LGarXiv:2304.02643v12023
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov +2
cs.LGcs.AIcs.CVarXiv:1803.05407v32018
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros +1
cs.LGcs.AIcs.CVarXiv:1705.05363v12017

Artificial Intelligence

VIMA: General Robot Manipulation with Multimodal Prompts

PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control

Parason: Revealing Subtask and Trial Parallelism in LLM Reasoning

Mode Regularized Generative Adversarial Networks

ToolRobustBench: Stage-Wise Perturbation Evaluation and Failure Diagnosis for Tool-Calling Agents

ChainPrune: Evaluating and Reducing Redundancy in Long Chain-of-Thought Reasoning

Unsupervised Discovery of Mid-Level Discriminative Patches

ExplainGuard: A Zero Trust Framework for Post-Hoc Explanation Integrity Guarantees in Blackbox XAI Models

A survey detection channel overrides the pixels in an astronomical foundation model, and biases tomographic mean redshifts

Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion

A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task

Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

WAM-OPD: On-Policy Distillation for World Action Models

Progressively Learning Heterogeneous Skills in a Unified Latent Space

Maximum a Posteriori Policy Optimisation

Fast Model Editing at Scale

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

AgentWeave: Routing Before Reasoning for Efficient Function Calling in Tool-Rich Language Models

Dynabench: Rethinking Benchmarking in NLP

Compositional Chain-of-Relations for Faithful Knowledge Graph Question Answering with Large Language Models

Imagination-Augmented Agents for Deep Reinforcement Learning

Enhancing the Transferability of Adversarial Attacks through Variance Tuning

ShardMeter: Sharded and Geo-Distributed Training Without the Guesswork

Confidently Wrong, Silently So: Auditing Undetectable Failures of a Deployed On-Device Language Model

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

Exploit More, Explore Smarter for Budget-Constrained Agentic Search

Benchmarking Retrieval-Augmented Generation for Medicine

Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects

A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads

Do Spoken Language Models Hear Speech as They Read Text? Bridging Structural Gaps Between Speech and Text

Function-Level Execution Feedback for Code Preference Optimization

Machine Comprehension Using Match-LSTM and Answer Pointer

Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?

Mathematical Capabilities of ChatGPT

LLMs are Few-Shot Decision-Makers: Generalized Context-Aware Microgrid Frequency Control through Prompt Decision Transformer

Score-based diffusion models for accelerated MRI

LLM Agents Perform Controlled Experiments Using Simulation Models

Where World Models Break: Natural-Input Failure Discovery

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

How Much Regularization Survives Averaging? Update Masking in Federated Learning

Data Mixing as Mixture Experiment: Response Surface Methodology and Optimal Design for Large Language Model Pretraining

Restoring Without Forgetting: Continual Learning Across Image Degradations

AI Agents Push Humans Out of the Loop

Beyond Static Interpretability: Anticipating Post-SFT Mechanisms from Pre-SFT Parameters for Better Tuning

Simthesizer: An Agent-Driven Simulation Framework for LLM Serving Systems

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation

FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare

Learning Invariant Representations for Reinforcement Learning without Reconstruction

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

PsychJail: Exploring Psychological Jailbreaks via Multi-Turn Persuasion of LLM Policies

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Counterfactual Visual Explanations

SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems

Improving the matrix multiplication exponent with modern optimization and AlphaEvolve

LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards

Segment Anything

Averaging Weights Leads to Wider Optima and Better Generalization

Curiosity-driven Exploration by Self-supervised Prediction