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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10,141 to 10,200 of 15,269

Aligning Text-to-Image Models using Human Feedback
Kimin Lee, Hao Liu, Moonkyung Ryu +6
cs.LGcs.AIcs.CVarXiv:2302.12192v12023
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen +17
cs.AIcs.CVcs.HCarXiv:1909.03012v22019
Stochastic Adversarial Video Prediction
Alex X. Lee, Richard Zhang, Frederik Ebert +3
cs.CVcs.AIcs.LGarXiv:1804.01523v12018
Intent Contrastive Learning for Sequential Recommendation
Yongjun Chen, Zhiwei Liu, Jia Li +2
cs.AIarXiv:2202.02519v12022
Simultaneous Envy and Equitability Guarantees
Hadi Hosseini, Shraddha Pathak, Lirong Xia +1
cs.GTcs.AIecon.THarXiv:2608.26410v12026
Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Yashar Talebirad, Amirhossein Nadiri
cs.AIcs.LGcs.MAarXiv:2306.03314v12023
On the Planning Abilities of Large Language Models : A Critical Investigation
Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan +1
cs.AIarXiv:2305.15771v22023
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal, Yoshua Bengio
cs.LGcs.AIstat.MLarXiv:2011.15091v42020
AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion
Jakub Seredyński, Georgios Tsaousoglou
cs.AIcs.GTcs.MAarXiv:2608.26896v12026
Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
Brett A. Becker, Paul Denny, James Finnie-Ansley +3
cs.HCcs.AIcs.CYarXiv:2212.01020v12022
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata +4
cs.AIcs.CLcs.CVarXiv:1802.08129v12018
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn +1
cs.CVcs.AIcs.LGarXiv:1510.04373v22015
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert, Chelsea Finn, Sudeep Dasari +3
cs.ROcs.AIcs.CVarXiv:1812.00568v12018
Fidelity Preference, Not Demographic Preference: A Pixel-Level Attribute-Sensitivity Audit of Image Aesthetic/Preference Scorers
Mingyang Xu
cs.CVcs.AIarXiv:2608.23593v12026
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke, Joshua Achiam, Pieter Abbeel
math.OCcs.AIcs.LGarXiv:2007.03964v12020
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
Krishan Rana, Jesse Haviland, Sourav Garg +3
cs.ROcs.AIarXiv:2307.06135v22023
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li, Jiajun Wu, Russ Tedrake +2
cs.LGcs.AIcs.ROarXiv:1810.01566v22018
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Erik Thureck
cs.CLcs.AIcs.LGarXiv:2608.21462v12026
A Survey of Paraphrasing and Textual Entailment Methods
Ion Androutsopoulos, Prodromos Malakasiotis
cs.CLcs.AIarXiv:0912.3747v32009
3D Object Detection for Autonomous Driving: A Comprehensive Survey
Jiageng Mao, Shaoshuai Shi, Xiaogang Wang +1
cs.CVcs.AIcs.ROarXiv:2206.09474v22022
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Liyan Tang, Cyrus Rashtchian, Chun-Sung Ferng +3
cs.AIcs.CLarXiv:2608.27454v12026
Summaries:한국어 简体中文
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami, Adva Wolf, Da-Cheng Juan +3
cs.LGcs.AIcs.CLarXiv:2005.00545v12020
What Does an Evaluation License? A Commit-Bound Census of Claim-Relative Inference in Inspect Evals
Xi Qin
cs.SEcs.AIarXiv:2608.19269v32026
Multi-Granularity Context-Enhanced RAG over Multimodal Knowledge Graphs
Zongyu Wu, Yilong Wang, Xiaochen Wang +5
cs.AIarXiv:2608.25986v12026
PAWBench: How Far Are We from Probabilistically Aligned World Modeling?
Yuandong Pu, Le Zhuo, Sayak Paul +11
cs.CVcs.AIarXiv:2608.27345v12026
The Value of Human Expertise
Bradley Sturt
math.OCcs.AIarXiv:2608.26051v12026
Missing the Butterfly and Predicting the Past: Features or Bugs of Accurate AI Weather Models?
Pedram Hassanzadeh, Weidong Li, Y. Qiang Sun +4
physics.ao-phcs.AIarXiv:2608.25835v12026
PhoBERT: Pre-trained language models for Vietnamese
Dat Quoc Nguyen, Anh Tuan Nguyen
cs.CLcs.AIarXiv:2003.00744v32020
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl +3
cs.CLcs.AIarXiv:1905.08743v22019
Quantitative Analysis of $ω$-Regular Robust MDPs
Ali Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady +3
cs.AIarXiv:2608.25968v12026
Teacher-Student Curriculum Learning
Tambet Matiisen, Avital Oliver, Taco Cohen +1
cs.LGcs.AIarXiv:1707.00183v22017
LivingRAG: Augmenting Graph RAG with Experience
Yuzhuo Cui, Zongye Zhang, Qingjie Liu
cs.AIarXiv:2608.25960v12026
LocalLSTC: A Long Short-Term Control Architecture for Locally Deployed GUI Agents
Weiming Li, Helen Paik, Yulei Sui
cs.AIarXiv:2608.25777v12026
Distilling Object Detectors with Fine-grained Feature Imitation
Tao Wang, Li Yuan, Xiaopeng Zhang +1
cs.CVcs.AIcs.LGarXiv:1906.03609v12019
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
cs.CLcs.AIarXiv:2012.13048v22020
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez +1
eess.IVcs.AIcs.CVarXiv:2402.05975v12024
Where vs What: Decomposing Structural and Content Failures in LLM-Generated Structured Outputs
Yiwei Zhang, Chengke Wu, Li Wang +1
cs.AIarXiv:2608.25358v12026
LifePlanner: Evaluating LLM Agents for Geo-spatial Planning with Social Media Data
Zhen Dong, Yuning Peng, Yutao Shi +4
cs.AIarXiv:2608.25039v12026
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu +3
cs.IRcs.AIarXiv:2204.12200v22022
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell, Murray Shanahan, Irina Higgins
cs.AIcs.CLarXiv:2205.09712v12022
Llemma: An Open Language Model For Mathematics
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster +6
cs.CLcs.AIcs.LOarXiv:2310.10631v32023
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
DeepSeek-AI, Qihao Zhu, Daya Guo +37
cs.SEcs.AIcs.LGarXiv:2406.11931v12024
ToST: A Tree-of-Thought Socratic Teaching Framework for Multi-Path Guidance and Parallel Thinking
Feng Ling, Heng Yu
cs.AIarXiv:2608.25775v12026
Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models
Pengfei Zhou, Hexin Wang, Zhengfeiyang Zhang +5
cs.AIarXiv:2608.25518v12026
Paint What You See: Benchmarking Dexterous Visual Tool Use in Multimodal Agents
Shudong Liu, Dongyang Chen, Enci Zhang +3
cs.AIarXiv:2608.25417v12026
Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian +5
cs.CLcs.AIcs.CVarXiv:2305.13172v32023
Can your AI agent be cheaper? Investigating the effects of task specifications on token spend in agentic coding tasks
Jakub Smékal
cs.AIarXiv:2608.25399v12026
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li, Xixiang Lyu, Nodens Koren +3
cs.LGcs.AIarXiv:2110.11571v32021
BixBench3: Benchmarking AI agents on research-study-scale computational biology tasks
Zane Koch, Asmamaw T. Wassie, Javier Valdes-Aleman +5
cs.AIq-bio.QMarXiv:2608.25286v12026
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
Derek Doran, Sarah Schulz, Tarek R. Besold
cs.AIarXiv:1710.00794v12017
Tunable Tool-Call Rates in LLM Agents via Representation Steering
Yuqi Chen, Vincent Siu, Yang Liu +2
cs.AIarXiv:2608.25198v12026
Learning under Concept Drift: an Overview
Indrė Žliobaitė
cs.AIarXiv:1010.4784v12010
Variational Intrinsic Control
Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra
cs.LGcs.AIarXiv:1611.07507v12016
The path inference filter: model-based low-latency map matching of probe vehicle data
Timothy Hunter, Pieter Abbeel, Alexandre Bayen
cs.AIarXiv:1109.1966v22011
AI-Powered Mental Health Chatbots in Africa: A Systematic Review and Culturally Adaptive Framework
Matshepo Lebese, Pitso Tsibolane
cs.AIarXiv:2608.24890v12026
Regulating ChatGPT and other Large Generative AI Models
Philipp Hacker, Andreas Engel, Marco Mauer
cs.CYcs.AIarXiv:2302.02337v82023
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader +11
cs.AIarXiv:1711.03902v12017
SIMGUIDE: Procedurally Grounded Multi-Context Representations for Personalized Agent Planning
Chirag Shah
cs.AIarXiv:2608.24888v12026
Reliable LLM-Powered Decision Engines for Large-Scale Supply Chain Operations: Architecture, Safety, and Performance Guarantees
Nirmal Kumar Jingar
cs.AIarXiv:2608.24889v12026
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang +1
cs.LGcs.AIarXiv:2112.03558v12021

Artificial Intelligence

Aligning Text-to-Image Models using Human Feedback

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Stochastic Adversarial Video Prediction

Intent Contrastive Learning for Sequential Recommendation

Simultaneous Envy and Equitability Guarantees

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

On the Planning Abilities of Large Language Models : A Critical Investigation

Inductive Biases for Deep Learning of Higher-Level Cognition

AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion

Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Fidelity Preference, Not Demographic Preference: A Pixel-Level Attribute-Sensitivity Audit of Image Aesthetic/Preference Scorers

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance

A Survey of Paraphrasing and Textual Entailment Methods

3D Object Detection for Autonomous Driving: A Comprehensive Survey

WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

What Does an Evaluation License? A Commit-Bound Census of Claim-Relative Inference in Inspect Evals

Multi-Granularity Context-Enhanced RAG over Multimodal Knowledge Graphs

PAWBench: How Far Are We from Probabilistically Aligned World Modeling?

The Value of Human Expertise

Missing the Butterfly and Predicting the Past: Features or Bugs of Accurate AI Weather Models?

PhoBERT: Pre-trained language models for Vietnamese

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

Quantitative Analysis of $ω$-Regular Robust MDPs

Teacher-Student Curriculum Learning

LivingRAG: Augmenting Graph RAG with Experience

LocalLSTC: A Long Short-Term Control Architecture for Locally Deployed GUI Agents

Distilling Object Detectors with Fine-grained Feature Imitation

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

Where vs What: Decomposing Structural and Content Failures in LLM-Generated Structured Outputs

LifePlanner: Evaluating LLM Agents for Geo-spatial Planning with Social Media Data

Hypergraph Contrastive Collaborative Filtering

Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Llemma: An Open Language Model For Mathematics

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

ToST: A Tree-of-Thought Socratic Teaching Framework for Multi-Path Guidance and Parallel Thinking

Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models

Paint What You See: Benchmarking Dexterous Visual Tool Use in Multimodal Agents

Editing Large Language Models: Problems, Methods, and Opportunities

Can your AI agent be cheaper? Investigating the effects of task specifications on token spend in agentic coding tasks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

BixBench3: Benchmarking AI agents on research-study-scale computational biology tasks

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

Tunable Tool-Call Rates in LLM Agents via Representation Steering

Learning under Concept Drift: an Overview

Variational Intrinsic Control

The path inference filter: model-based low-latency map matching of probe vehicle data

AI-Powered Mental Health Chatbots in Africa: A Systematic Review and Culturally Adaptive Framework

Regulating ChatGPT and other Large Generative AI Models

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

SIMGUIDE: Procedurally Grounded Multi-Context Representations for Personalized Agent Planning

Reliable LLM-Powered Decision Engines for Large-Scale Supply Chain Operations: Architecture, Safety, and Performance Guarantees

Graph Neural Controlled Differential Equations for Traffic Forecasting