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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23,581 to 23,640 of 27,201

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
Federico Cassano, Luisa Li, Akul Sethi +8
cs.SEcs.AIcs.LGarXiv:2312.12450v62023
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
Shaoan Xie, Lingjing Kong, Xiangchen Song +4
cs.AIarXiv:2510.01544v22025
A Study of the Attention Abnormality in Trojaned BERTs
Weimin Lyu, Songzhu Zheng, Tengfei Ma +1
cs.CRcs.AIcs.LGarXiv:2205.08305v22022
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
Mengfei Du, Binhao Wu, Zejun Li +2
cs.AIcs.CLcs.CVarXiv:2406.05756v12024
Exposing the Cost of Deep Learning Audio Development
Constance Douwes, Paul Magron, Romain Serizel
cs.LGcs.AIcs.SDarXiv:2610.01619v12026
Counterfactual Auditing of Bias in Open-Source Large Language Models for Clinical Triage
Manar Aljohani, Brandon Ho, Kenneth McKinley +2
cs.AIcs.CLcs.LGarXiv:2610.01963v12026
Learning to Ask: Information Acquisition for SLM-LLM Collaboration, under a budget
Yongjun Kim, Xiaoxiao Li, Jaeho Lee
cs.AIarXiv:2610.01236v12026
Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation
Chenjian Gao, Zhihao Hu, Jianqi Ma +3
cs.CVcs.AIarXiv:2609.37925v12026
The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents
Darshan Tank, Baran Nama
cs.AIarXiv:2607.22520v12026
Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs
Feiyang Li, Shengjing Liu, Qi Zhan +7
cs.AIarXiv:2609.38070v12026
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Krishan Rana, Ming Xu, Brendan Tidd +2
cs.ROcs.AIcs.LGarXiv:2211.02231v12022
On Joint Learning for Solving Placement and Routing in Chip Design
Ruoyu Cheng, Junchi Yan
cs.LGcs.AIarXiv:2111.00234v22021
Learning to Act without Actions
Dominik Schmidt, Minqi Jiang
cs.LGcs.AIarXiv:2312.10812v22023
Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
Martha Lewis, Melanie Mitchell
cs.AIcs.CLarXiv:2402.08955v12024
ModalFidelity: Routing Modalities for Deepfake Detection on a Budget
Oguzhan Baser, Kaan Kale, Sriram Vishwanath +1
cs.CRcs.AIarXiv:2609.38246v12026
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo, Bharath Hariharan
cs.CVcs.AIcs.LGarXiv:2010.07734v22020
Legal Research Bench: Measuring End-to-End Reliability in Long-Horizon Legal Research Agents
Katrina Drozdov, Oliver Chen, Langston Nashold +1
cs.AIcs.CLcs.CYarXiv:2610.00609v12026
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
Jan Ludziejewski, Maciej Pióro, Jakub Krajewski +8
cs.LGcs.AIcs.CLarXiv:2502.05172v22025
Towards an AI Software Factory for Data Systems
Anna Pavlenko, Bogdan Crivat, Brandon Haynes +23
cs.AIcs.DBcs.SEarXiv:2609.36323v12026
VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
Chenglin Li, Qianglong Chen, Zhi Li +2
cs.CVcs.AIarXiv:2411.09105v22024
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
Zhouhan Lin, Yushi Chen, Xing Zhao +1
cs.CVcs.AIcs.LGarXiv:1511.02916v12015
Flawed but Memorable: Student Critical Reception of Interest-Personalized GenAI Analogies in Computing Education
Seth Bernstein, Naaz Sibia
cs.HCcs.AIarXiv:2609.06095v12026
What Does Animal Re-Identification Learn? Linear Biological Concepts and Their Origins in Visual Representations
Robert Nolting, Alexandra Schild, Moritz Weckbecker +2
cs.CVcs.AIarXiv:2609.06020v12026
Solving versus Verifying: Catching Contradictions in Tax Reasoning Systems
Albert Sadowski, Jarosław A. Chudziak
cs.CLcs.AIarXiv:2609.05928v12026
FACT: A Forensic Agent with Compiled Tool-Use Trajectories for AI-Generated Image Detection
Jiaoyang Chen, Bin Hu, Jingyu Hu +3
cs.CVcs.AIarXiv:2609.05876v12026
Where Does the Sound Go? Tracing Acoustic Information Loss in Audio-Conditioned LLMs
Song-ha Jo, Sehyun Lee, Soyoon Kim +2
cs.SDcs.AIarXiv:2609.05871v12026
Scalable Co-Optimization of Morphology and Control in Embodied Machines
Nick Cheney, Josh Bongard, Vytas SunSpiral +1
cs.AIarXiv:1706.06133v22017
Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review
Siming Yuan, Xueyi Zhang, Wangze Ni +7
cs.AIarXiv:2609.05947v12026
A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models
Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz
stat.MLcs.AIcs.LGarXiv:1804.02969v72018
Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments
Rohith Reddy Bellibatlu, Zichong Wang, Wenbin Zhang
cs.SEcs.AIcs.LGarXiv:2609.37315v12026
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj +4
cs.CLcs.AIcs.LGarXiv:2410.01335v22024
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong +2
cs.CVcs.AIcs.LGarXiv:2511.03206v12025
A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System
Kelly McConvey, Sajad Ebrahimi, Nima Jamali +10
cs.CVcs.AIarXiv:2609.37783v12026
Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
Kai Ruan, Xuan Wang, Jixiang Hong +3
cs.CLcs.AIarXiv:2412.17596v42024
Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery
Harshit Bisht, Vinay Kumar, Kevin Maik Jablonka +2
cs.AIarXiv:2605.08956v12026
Phantom References: Hallucinated Citations That Survive Peer Review at Top-Tier Conferences
Mark Russinovich, Ram Shankar Siva Kumar, Ahmed Salem
cs.DLcs.AIarXiv:2607.00738v22026
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
Qizhi Pei, Lijun Wu, Kaiyuan Gao +6
q-bio.QMcs.AIcs.CEarXiv:2402.17810v22024
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
cs.CLcs.AIcs.CEarXiv:2406.10811v12024
Adversarial Debiasing of Machine Learning Models for Enhanced Network Security against DDoS Attacks
Aadith Sukumar, Isha Singh, Devershika Mohane +4
cs.CRcs.AIarXiv:2609.36167v12026
Post Hoc Explanations of Language Models Can Improve Language Models
Satyapriya Krishna, Jiaqi Ma, Dylan Slack +3
cs.CLcs.AIarXiv:2305.11426v32023
Towards modular and programmable architecture search
Renato Negrinho, Darshan Patil, Nghia Le +3
cs.LGcs.AIstat.MLarXiv:1909.13404v12019
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Patara Trirat, Wonyong Jeong, Sung Ju Hwang
cs.LGcs.AIcs.CLarXiv:2410.02958v22024
KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis
Reilly Haskins, Benjamin Adams
cs.LGcs.AIarXiv:2507.03847v22025
Do Large Language Models Understand Logic or Just Mimick Context?
Junbing Yan, Chengyu Wang, Jun Huang +1
cs.CLcs.AIarXiv:2402.12091v12024
PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States
Arya Kondur, Giosue Migliorini, Cameron Schmitt +14
cs.LGcs.AIcs.CVarXiv:2609.36315v12026
HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
Duolin Sun, Dan Yang, Yue Shen +7
cs.CLcs.AIarXiv:2509.09713v12025
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala +1
cs.ROcs.AIcs.CVarXiv:2210.06463v12022
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
Craig Atkinson, Brendan McCane, Lech Szymanski +1
cs.LGcs.AIcs.CVarXiv:1812.02464v62018
World Modeling with Probabilistic Structure Integration
Klemen Kotar, Wanhee Lee, Rahul Venkatesh +13
cs.CVcs.AIcs.LGarXiv:2509.09737v12025
Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models
Pranav Pawar, Kavish Shah, Akshat Bhalani +6
cs.LGcs.AIarXiv:2509.08270v12025
From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
James Jewitt, Hao Li, Bram Adams +2
cs.SEcs.AIarXiv:2509.09873v22025
Graph Neural Prompting with Large Language Models
Yijun Tian, Huan Song, Zichen Wang +5
cs.CLcs.AIcs.LGarXiv:2309.15427v22023
ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
Anirban Saha Anik, Md Fahimul Kabir Chowdhury, Andrew Wyckoff +1
cs.CLcs.AIarXiv:2509.11492v12025
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
Li Yang, Abdallah Shami
cs.CRcs.AIcs.CVarXiv:2201.11812v12022
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Project Apertus, Alejandro Hernández-Cano, Alexander Hägele +100
cs.CLcs.AIcs.LGarXiv:2509.14233v22025
Persuasive Natural Language Generation -- A Literature Review
Sebastian Duerr, Peter A. Gloor
cs.CLcs.AIarXiv:2101.05786v12021
Market Making via Reinforcement Learning
Thomas Spooner, John Fearnley, Rahul Savani +1
cs.AIq-fin.TRarXiv:1804.04216v12018
Synthetic bootstrapped pretraining
Zitong Yang, Aonan Zhang, Hong Liu +4
cs.CLcs.AIarXiv:2509.15248v32025
Towards Human-like Multimodal Conversational Agent by Generating Engaging Speech
Taesoo Kim, Yongsik Jo, Hyunmin Song +1
cs.HCcs.AIcs.CLarXiv:2509.14627v12025
AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?
Hyunjong Ok, Suho Yoo, Hyeonjun Kim +1
cs.CLcs.AIcs.LGarXiv:2509.17641v22025

Artificial Intelligence

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards

A Study of the Attention Abnormality in Trojaned BERTs

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Exposing the Cost of Deep Learning Audio Development

Counterfactual Auditing of Bias in Open-Source Large Language Models for Clinical Triage

Learning to Ask: Information Acquisition for SLM-LLM Collaboration, under a budget

Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation

The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents

Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

On Joint Learning for Solving Placement and Routing in Chip Design

Learning to Act without Actions

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

ModalFidelity: Routing Modalities for Deepfake Detection on a Budget

Self-training for Few-shot Transfer Across Extreme Task Differences

Legal Research Bench: Measuring End-to-End Reliability in Long-Horizon Legal Research Agents

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient

Towards an AI Software Factory for Data Systems

VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models

Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders

Flawed but Memorable: Student Critical Reception of Interest-Personalized GenAI Analogies in Computing Education

What Does Animal Re-Identification Learn? Linear Biological Concepts and Their Origins in Visual Representations

Solving versus Verifying: Catching Contradictions in Tax Reasoning Systems

FACT: A Forensic Agent with Compiled Tool-Use Trajectories for AI-Generated Image Detection

Where Does the Sound Go? Tracing Acoustic Information Loss in Audio-Conditioned LLMs

Scalable Co-Optimization of Morphology and Control in Embodied Machines

Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review

A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models

Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments

Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models

QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models

A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System

Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context

Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery

Phantom References: Hallucinated Citations That Survive Peer Review at Top-Tier Conferences

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction

Adversarial Debiasing of Machine Learning Models for Enhanced Network Security against DDoS Attacks

Post Hoc Explanations of Language Models Can Improve Language Models

Towards modular and programmable architecture search

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis

Do Large Language Models Understand Logic or Just Mimick Context?

PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States

HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering

Holo-Dex: Teaching Dexterity with Immersive Mixed Reality

Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting

World Modeling with Probabilistic Structure Integration

Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models

From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem

Graph Neural Prompting with Large Language Models

ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims

A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

Persuasive Natural Language Generation -- A Literature Review

Market Making via Reinforcement Learning

Synthetic bootstrapped pretraining

Towards Human-like Multimodal Conversational Agent by Generating Engaging Speech

AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?