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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19,981 to 20,040 of 27,684

Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
cs.LGcs.AIcs.NEarXiv:2106.09296v32021
Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks
Xingpeng Sun, Haoming Meng, Souradip Chakraborty +2
cs.AIcs.ROarXiv:2402.03494v32024
Model Retirement Creates Reproducibility Risk in Biomedical AI Publications
Nathan Wolfrath, Meghan Conroy, Thomas Kosten +7
cs.AIarXiv:2609.04699v12026
Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle Accelerator
Thorsten Hellert, Drew Bertwistle, Simon C. Leemann +2
physics.acc-phcs.AIarXiv:2509.17255v22025
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models
Bill Yuchen Lin, Seyeon Lee, Rahul Khanna +1
cs.CLcs.AIarXiv:2005.00683v22020
Explaining Answers with Entailment Trees
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord +4
cs.CLcs.AIarXiv:2104.08661v32021
IPCV: Information-Preserving Compression for MLLM Visual Encoders
Yuan Chen, Zichen Wen, Yuzhou Wu +6
cs.CVcs.AIarXiv:2512.18747v12025
Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations
Wei-Jin Huang, Yue-Yi Zhang, Yi-Lin Wei +5
cs.ROcs.AIcs.CVarXiv:2601.09518v12026
Performance at What Cost? A Sustainability-Aware Performance Index for Cell and Nucleus Instance Segmentation
Eiram Mahera Sheikh, Alaa Tharwat, Wolfram Schenck
cs.CVcs.AIarXiv:2610.10324v12026
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
Junjie Ye, Yuming Yang, Yang Nan +7
cs.CLcs.AIarXiv:2509.16596v22025
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski +2
cs.NEcs.AIcs.CVarXiv:1605.09304v52016
VisAdj: Learning Adjacency Matrices from Node-Link Images
Jiahao Xie, Guangmo Tong
cs.AIcs.CVcs.LGarXiv:2608.21825v12026
The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs
Xu Wan, Speed Zhu, Jianwei Cai +4
cs.AIarXiv:2606.03092v22026
Instruction-Following Evaluation for Large Language Models
Jeffrey Zhou, Tianjian Lu, Swaroop Mishra +5
cs.CLcs.AIcs.LGarXiv:2311.07911v12023
Specifying Reward Functions for RL Without Environment Sampling
Stephane Hatgis-Kessell, W. Bradley Knox, Emma Brunskill
cs.LGcs.AIarXiv:2609.15544v12026
Evidence-RL: Towards Evidence-intensive Visual Reasoning
Haojie Huang, Xinlei Yu, Chengming Xu +6
cs.CVcs.AIarXiv:2608.08021v12026
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
Boxi Cao, Hongyu Lin, Xianpei Han +5
cs.CLcs.AIarXiv:2106.09231v12021
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
Junda Wu, Cheng-Chun Chang, Tong Yu +4
cs.IRcs.AIarXiv:2403.06447v12024
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
Xiaowei Jia, Jared Willard, Anuj Karpatne +4
physics.comp-phcs.AIarXiv:1810.13075v22018
CubeNet: Equivariance to 3D Rotation and Translation
Daniel Worrall, Gabriel Brostow
cs.CVcs.AIcs.LGarXiv:1804.04458v12018
Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation
Tianlei Chen, Jiao Ou, Ziyuan Liu +3
cs.AIarXiv:2605.27115v22026
Large Language Models for Structured Clinical Data Analysis: Dual-Agent Grounding and Validation
Erfan D. Dehkalani, Seetha Shankaran, Abbot R. Laptook +3
cs.AIarXiv:2609.34039v12026
PointCloud Saliency Maps
Tianhang Zheng, Changyou Chen, Junsong Yuan +2
cs.CVcs.AIarXiv:1812.01687v62018
Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues
Chuanrui Hu, Tong Li, Xingze Gao +8
cs.CLcs.AIarXiv:2602.01313v32026
CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
Akash Bonagiri, Devang Borkar, Gerard Janno Anderias +2
cs.LGcs.AIarXiv:2605.25338v12026
Large Language Models: A Survey
Shervin Minaee, Tomas Mikolov, Narjes Nikzad +4
cs.CLcs.AIarXiv:2402.06196v32024
Read before Generate! Faithful Long Form Question Answering with Machine Reading
Dan Su, Xiaoguang Li, Jindi Zhang +4
cs.CLcs.AIarXiv:2203.00343v12022
Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
Aoran Xiao, Jiaxing Huang, Dayan Guan +3
cs.CVcs.AIarXiv:2202.13589v32022
DART: Semantic Recoverability for Structured Tool Agents
Ke Yang, Panpan Li, Zonghan Wu +3
cs.AIarXiv:2605.23311v12026
The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems
Yohei Nakajima
cs.AIcs.MAarXiv:2605.21997v12026
EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
Baoyu Li, Xinchen Yin, Mengying Lin +2
cs.ROcs.AIarXiv:2607.08436v12026
Learning to Retrieve via Reinforcement Learning in Embedding Space
Qi Liu, Fengming Liang, Yiqun Chen +2
cs.IRcs.AIcs.CLarXiv:2610.07731v12026
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory
Ming Li, Nan Zhang, Chenrui Fan +6
cs.AIcs.CLcs.LGarXiv:2509.14662v12025
Quizz: Targeted crowdsourcing with a billion (potential) users
Panagiotis G. Ipeirotis, Evgeniy Gabrilovich
cs.AIcs.HCarXiv:1506.01062v12015
Understanding and Mitigating Hallucination Escape in Tool-Using LLM Agents
Peigui Qi, Kunsheng Tang, Yide Song +2
cs.CLcs.AIarXiv:2610.04409v12026
PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
Sidharth Pulipaka, Oliver Chen, Manas Sharma +3
cs.AIarXiv:2602.01146v22026
Towards a Physics Foundation Model
Florian Wiesner, Zoë J. Gray, Matthias Wessling +1
cs.LGcs.AIstat.MLarXiv:2509.13805v42025
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh Iyer, Jeff Bilmes
cs.DScs.AIcs.DMarXiv:1311.2106v12013
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Zipeng Fu, Xuxin Cheng, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2210.10044v12022
Hindsight Credit Assignment for Long-Horizon LLM Agents
Hui-Ze Tan, Xiao-Wen Yang, Hao Chen +7
cs.LGcs.AIarXiv:2603.08754v12026
Summaries:简体中文
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Yannis M. Assael, Nando de Freitas +1
cs.AIcs.LGcs.MAarXiv:1605.06676v22016
MIND: Benchmarking Memory Consistency and Action Control in World Models
Yixuan Ye, Xuanyu Lu, Yuxin Jiang +7
cs.CVcs.AIarXiv:2602.08025v22026
Poise: Position-Aware One-Instruction Skill Injection for Silent Execution on LLM Agents
Haochang Hao, Dehai Min, Zhifang Zhang +4
cs.CRcs.AIcs.CLarXiv:2606.07943v22026
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code
Yao Wan, Wei Zhao, Hongyu Zhang +3
cs.SEcs.AIarXiv:2202.06840v12022
OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving
Zikun Li, Yixuan Mei, Shiqi Pan +9
cs.DCcs.AIarXiv:2609.14237v12026
Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents
Zhiyuan Fan, Wenwei Jin, Feng Zhang +4
cs.AIarXiv:2605.10663v12026
KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
Simon Jegou, Maximilian Jeblick
cs.LGcs.AIcs.CLarXiv:2601.07891v22026
Predictive but Not Plannable: RC-aux for Latent World Models
Wenyuan Li, Guang Li, Keisuke Maeda +2
cs.LGcs.AIcs.CVarXiv:2605.07278v12026
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Georgios Papoudakis, Filippos Christianos, Arrasy Rahman +1
cs.LGcs.AIcs.MAarXiv:1906.04737v12019
CounterRoute: Self-Routed Reasoning via Hierarchical Counterfactual Credit Assignment
Ruochen Jiao, Besnik Fetahu, Zhenyu Shi +1
cs.AIarXiv:2609.29109v12026
Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration
Debeshee Das, Julien Piet, Darya Kaviani +3
cs.CRcs.AIarXiv:2605.01970v32026
Travel Time Prediction in Supply Chain Management Using Machine Learning
Balaji Venkateswaran
cs.LGcs.AIarXiv:2609.38190v12026
Beyond Effectiveness: A Multi-Criteria Framework for Comparing Practical Socio-Technical Interventions
Catherine King, Lynnette Hui Xian Ng, Kathleen M. Carley
cs.AIarXiv:2608.20649v12026
Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich, Mitchell Stern, Dan Klein
cs.CLcs.AIcs.LGarXiv:1704.07535v12017
A Generalized Acquisition Function for Preference-based Reward Learning
Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell +2
cs.ROcs.AIcs.LGarXiv:2403.06003v12024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Dongyang Liu, Renrui Zhang, Longtian Qiu +16
cs.CVcs.AIcs.CLarXiv:2402.05935v32024
Audio Event Detection using Weakly Labeled Data
Anurag Kumar, Bhiksha Raj
cs.SDcs.AIcs.MMarXiv:1605.02401v32016
Distilling Routed 3D Privilege for Spatial Reasoning in Vision-Language Models
Hongxing Li, Yixin Li, Dingming Li +5
cs.CVcs.AIarXiv:2610.12355v12026
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
Lin Wang, Kuk-Jin Yoon
cs.CVcs.AIcs.LGarXiv:2004.05937v72020
Evaluating whether AI models would sabotage AI safety research
Robert Kirk, Alexandra Souly, Kai Fronsdal +2
cs.AIarXiv:2604.24618v12026

Artificial Intelligence

Voice2Series: Reprogramming Acoustic Models for Time Series Classification

Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks

Model Retirement Creates Reproducibility Risk in Biomedical AI Publications

Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle Accelerator

Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models

Explaining Answers with Entailment Trees

IPCV: Information-Preserving Compression for MLLM Visual Encoders

Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations

Performance at What Cost? A Sustainability-Aware Performance Index for Cell and Nucleus Instance Segmentation

Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

VisAdj: Learning Adjacency Matrices from Node-Link Images

The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs

Instruction-Following Evaluation for Large Language Models

Specifying Reward Functions for RL Without Environment Sampling

Evidence-RL: Towards Evidence-intensive Visual Reasoning

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

CubeNet: Equivariance to 3D Rotation and Translation

Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation

Large Language Models for Structured Clinical Data Analysis: Dual-Agent Grounding and Validation

PointCloud Saliency Maps

Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues

CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures

Large Language Models: A Survey

Read before Generate! Faithful Long Form Question Answering with Machine Reading

Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

DART: Semantic Recoverability for Structured Tool Agents

The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems

EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data

Learning to Retrieve via Reinforcement Learning in Embedding Space

Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory

Quizz: Targeted crowdsourcing with a billion (potential) users

Understanding and Mitigating Hallucination Escape in Tool-Using LLM Agents

PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?

Towards a Physics Foundation Model

Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints

Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

Hindsight Credit Assignment for Long-Horizon LLM Agents

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

MIND: Benchmarking Memory Consistency and Action Control in World Models

Poise: Position-Aware One-Instruction Skill Injection for Silent Execution on LLM Agents

What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents

KVzap: Fast, Adaptive, and Faithful KV Cache Pruning

Predictive but Not Plannable: RC-aux for Latent World Models

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

CounterRoute: Self-Routed Reasoning via Hierarchical Counterfactual Credit Assignment

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration

Travel Time Prediction in Supply Chain Management Using Machine Learning

Beyond Effectiveness: A Multi-Criteria Framework for Comparing Practical Socio-Technical Interventions

Abstract Syntax Networks for Code Generation and Semantic Parsing

A Generalized Acquisition Function for Preference-based Reward Learning

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Audio Event Detection using Weakly Labeled Data

Distilling Routed 3D Privilege for Spatial Reasoning in Vision-Language Models

Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks

Evaluating whether AI models would sabotage AI safety research